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OPTIMISE: AI Search Newsletter for Automotive. Issue 03 Nov 2026

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UK dealer stock is moving into ChatGPT

Two UK services now put live dealer stock inside ChatGPT conversations. AutoChat, from Novaco, turns a buyer’s request into a search of live inventory. The buyer can then refine, compare cars and ask for a test drive in the same chat. Dealers connect their existing stock feed free of charge. Click Dealer has opened more than 120,000 vehicles from independent dealers through a ChatGPT plugin, and sends the buyer to the dealer’s own website.

In plain English: Until now a buyer typed “used Golf near me” and got a list of links. Now they describe what they want in a chat and the AI searches dealer stock for them. The AI reads your stock feed, the file that powers your website listings. If the feed is thin, with no price, a weak description or out-of-date availability, your cars are less likely to be shown. Connecting to AutoChat is free, so the main cost is checking your data.

Action: check that your stock feed is complete, with price, spec, images and availability. Ask your DMS or website provider which of these routes you can join.

Important Note: These ‘plugin’ style advertising options are not a substitute for your business being cited in AI answers as citations and mentions. That work remains preeminent. These adverts appear in the following layer and are not a substitute for your business appearing in a researched curated answer.

Buyers are using AI before they contact you

Cox Automotive’s 2025 Car Buyer Journey Study found 19% of all car buyers, and 25% of new car buyers, used AI sites or AI Overviews during research. UK providers now report that AI Mode is live in the UK and shaping how buyers find cars. Shortlists are being formed before the first enquiry.

In plain English: Think of AI as the new first conversation. Cox found one in five buyers, and one in four new car buyers, used AI during research. That was 2025, and the figure has grown. A buyer may never search your name. They ask for a reliable dealer, get up to three names and contact one of them. If you are not one of the three, you never find out you lost the sale. The five-minute test below is the cheapest market research you will do this month.

Action: ask ChatGPT, Gemini and Google AI Mode who is a reliable dealer for a named model in your town. Record who appears, and why.

Google’s AI Mode and the independent dealer

A Sussex UK dealer website provider reports that dealers cited as sources by Google’s AI see more traffic and enquiries, while others lose clicks. That is one supplier’s view, but the direction fits Google’s own guidance: unique, useful content wins. Local and ecommerce details are called out in Google’s guide.

This also matches the conclusions in AI Search, Today and Tomorrow, State of the Art Digital’s AI Search research study which notes in three sections; The shift to AI Overviews creating a ‘Zero Click’ environment. Puts a date on when Google’s AI Overviews will overwhelm any appearances in SERPS results and the so-called ‘Chaff Effect’ which explains what remains after the high intent informational enquiries have been taken by AI cited businesses and the struggle for viability.

In plain English: A source here is a website the AI quotes or links as it answers. Being named in the answer is worth more than ranking fifth on a results page. The view above is one independent supplier’s opinion, and our own. What is firm is Google’s own advice: original, useful content. For a dealer that means real answers to real questions, such as how a part exchange works, whether a used EV battery is covered and how finance is arranged, written by someone who knows.

Action: keep your Google Business Profile complete, answer reviews, and publish pages that answer real buyer questions on EV range, finance and part exchange.

From our own AI Citation research

An OPTIMISE pilot on UK Kia dealers found that Trustpilot carries more weight than Google Reviews in AI citations, and that Auto Trader blocks AI crawlers in its robots.txt. Reddit did not appear in the Kia or BMW results.

In plain English: Trustpilot and Google Reviews are both review sites, and in the Kia test the AI leaned more on Trustpilot. Reviews are one of the few things a dealer controls directly, so they are worth tending. A robots.txt file is a small note on a website telling automated visitors what they may read. Auto Trader’s note blocks AI crawlers, so the AI cannot read its listings. That may make a dealer’s own site and review profiles matter more. Reddit not appearing is a useful result too: not every platform matters in every sector.

Dealer checklist

  • Test five buyer questions in three AI tools each month.
  • Fix feed data: price, mileage, spec, availability.
  • Review Trustpilot and Google Business Profile scores and replies.
  • Check your robots.txt is not blocking AI crawlers you want.
  • Baseline Search Console generative AI reports.

ChatGPT now interviews the buyer

The buyer arrives qualified. The shortlist is already made.

ChatGPT no longer waits for a keyword. Its shopping research mode, launched on 24 November 2025, asks the buyer a short run of questions first. It covers budget, who the product is for and which features matter most. With memory switched on it can also use what it already knows about the person. The buyer can steer the results with “Not interested” and “More like this” while it works. A few minutes later it returns a buyer’s guide with top picks, reasons, comparisons and merchant links.

Important: This Chat GPT pre-qualification appeared during the research conducted and explained further into the newsletter.

In plain English: Before, you typed a search. Now the AI interviews you first, much as a good salesperson would, then goes away and builds a short list. By the time the buyer sees a name, the AI has already decided it fits their budget and needs.

This leans into the statistic that buyers who use AI are trusting AI Summaries and are arriving at your business with a greater buying intent.

The recommended names come from what it can read. OpenAI says it reads retail product pages directly, favours trusted sites and cites its sources. Product data can arrive through the Agentic Commerce Protocol feed. Retailers that block automated access are skipped or replaced with similar sources. Merchants can apply to be allowlisted. OpenAI says chats are not shared with retailers, and that shopping research is separate from ads. It also warns that price and availability can be wrong.

In plain English: The AI can only name what it can read. If your site blocks automated visitors, or the key facts sit where a machine cannot read them, you drop out of the short list. Being allowlisted means a merchant has asked OpenAI to include its products in results.

How this plays out for cars

The same interview pattern now reaches UK car stock. AutoChat is built to read a buyer’s circumstances, such as budget, equipment and EV range, and suggest suitable vehicles from live dealer stock. The buyer can then compare cars and ask for a test drive without leaving the chat. Click Dealer does the same for independent stock, then sends the buyer to the dealer’s own site.

The point for dealers: the questions that a sales executive asks on the phone are now asked by the AI first. A buyer who has answered them walks in with a view on which car and which dealer.

The finance leak to watch

A car conversation does not have to end at a dealer. When the buyer asks about finance, the AI can hand that part to a specialist. We have only experienced one anecdote about this but the ingredients are in place. It seems inevitable with Agentic AI.

In plain English: A dealer is one of several businesses that can answer a car buyer. A comparison site or broker may be handed the finance question because its pages and tools are built to answer it. If your site only says “finance available, call us”, the AI has nothing to quote and may look elsewhere. See below about being ‘Finance Ready’ for when AI Agents investigate finance as thoroughly as models and reputation.

  • MoneySuperMarket launched a ChatGPT app in the UK in early 2026. It asks a few questions and returns quotes. A car insurance estimate takes five questions. In April 2026 it added personal loans and credit cards, drawing on more than 150 insurers and providers. Car finance is not listed.
  • The Click Dealer plugin, reported on 19 August 2026, launched without finance. Finance and affordability tools from Evolution Funding are planned for later.
  • Close Brothers Motor Finance reported in January 2026 that 66% of UK motorists use AI in their car-buying journey, but only 15% use it to research finance. Finance is the open gap.

Action for dealers: publish clear finance pages with example monthly costs, lender panel, and your regulatory status. A dealer that explains finance in plain English gives the AI something to cite.

What to do

  • Make sure your stock feed answers the interview questions: price, mileage, fuel type, EV range, equipment, availability.
  • Do not block AI crawlers on pages you want recommended.
  • Ask your DMS or website provider about allowlisting and ACP or plugin routes.
  • Write pages that answer the questions buyers are asked, such as budget by monthly payment, family fit and running costs.
  • Keep reviews and Business Profile data current, as these shape which dealer is named.

Research feature: What ChatGPT looks for when it recommends a used car dealer

OPTIMISE Automotive: AI Summary Citation research

How we tested it

We asked ChatGPT five buyer questions, all based around Worthing and West Sussex with a £25,000 budget. They covered prestige cars, used SUVs, part-exchange and finance, and a “best overall deal within 50 miles” request. One question was run twice to check consistency. We recorded which dealers were named and the reasons ChatGPT gave.

This is a small, single-platform test. Treat it as a pattern to act on, not a statistical finding.

It’s critical that your business begins to make this AI Citation research a habit. Understanding how and why customers are contacting you is now a fast moving space after 25 years of fairly stable reasons. Contact Steve Coulter AI Search Expert at State Of The Art Digital about affordable AI Citation and Competitor Gap Analysis.

What we found

  1. Franchised dealers win by default. When the question is about a model, ChatGPT sends buyers to the franchised network. Its stated reasons were manufacturer-backed warranties, documented servicing and vehicle preparation.
  2. Independents win with proof. Independent dealers were named when they had a specific listing, a published warranty, a visible review profile or a clearly stated service such as part-exchange.
  3. Reviews act as a filter. Ratings from 4.5 to 5.0 stars and review counts from about 80 to 490 were quoted as evidence of reputation.
  4. Specific stock beats general claims. The strongest answers named an actual car with price, mileage and year, and made that dealer the first contact.
  5. ChatGPT keeps flagging what it cannot verify. In every answer it told the buyer to check service history, warranty terms, finance costs and condition. A dealer who publishes those facts removes the doubt.
  6. Results vary between runs. The same question produced different shortlists. The names that stayed constant were the ones with the clearest evidence.

Ten actions to get into the citation pool

  1. Give every car its own crawlable page, with price, mileage, year and trim in plain text and Vehicle and Offer schema.
  2. State service history on every listing: full main-dealer history, number of stamps, number of owners.
  3. Publish warranty terms in plain English, covering duration, inclusions, claim limits and exclusions.
  4. Show finance and part-exchange openly: a representative APR example, total amount payable, fees and how valuations work.
  5. Build reviews that name your services, and reply to them. Grow volume on Google, Auto Trader and Trustpilot.
  6. Keep your name, address, phone and opening hours identical across your site and every directory. Use AutoDealer schema.
  7. Write pages that match buyer questions, such as “best used SUV around £25,000 in [INSERT YOUR TOWN OR COUNTY]”, tied to the stock you hold.
  8. If you are independent, evidence trust: fresh MOT, pre-sale service, history check, independent inspection and a warranty.
  9. Define your service area with town pages, distances and delivery options.
  10. Keep your site open to AI crawlers and your stock fresh. Check robots.txt, submit to Bing Webmaster Tools and IndexNow, remove sold cars quickly and show update dates.

The takeaway

ChatGPT does not pick the cheapest dealer. It picks the dealer it can recommend without risk: one with stock it can see, terms it can quote and reviews it can cite. Make those three things easy to find and you move into the pool.

‘Ultimate GEO’ is the method behind this newsletter?

Ultimate GEO by Steven M Coulter is the practical guide to getting found, assessed and recommended by AI engines. The 2026 revised edition of 12 Chapters, 126 Pages and a 12 month AI Citation Action Plan is £10 (or $15 USD) in PDF or EPUB.

Email steve@stevecoulter.co.uk for an invoice and say which format you want.

Try Before You Buy.

A free teaser PDF with the cover, introduction and Chapter 1 is available first.

#AISearch #GEO #AutomotiveMarketing #UKAutomotive #CarDealers #AIVisibility

OPTIMISE is written and researched by Steve Coulter, founder of State of the Art Digital.

Contact: e-mail: steve@stevecoulter.co.uk Telephone: +44 (0) 7407 038877

 

State of the Art’s OPTIMUM v2.4 v GEO Agencies

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Before you sign a GEO retainer, know what you are paying to fix

Most UK GEO agencies sell you a retainer. I think you should buy the diagnosis first.

GEO, or generative engine optimisation, is the work of getting your business named and cited when people ask ChatGPT, Gemini, Claude or Perplexity for a recommendation. Before you pay anyone to do that work, you need to know why AI engines are not citing you now. That is what OPTIMUM v2.4 is for. It scores your site, shows the evidence behind each score, and gives you a report you can hand to any developer or agency.

This post compares that approach with how UK GEO agencies typically sell. It includes a ready reckoner you can keep, and it says plainly where an agency is the better choice.

How UK GEO agencies sell

UK agencies usually sell a one-off audit, then a monthly retainer. Published UK price guides put the typical retainer at £2,000 to £5,000 a month, with audit or onboarding fees of £1,500 to £5,000 on top. One London guide gives £2,000 to £4,000 for entry-level work and £5,000 to £12,000 or more for advanced programmes.

Few agencies publish prices. In one October 2026 comparison of 20 UK agencies, most said request a quote and a handful showed a monthly fee. The published fees ranged from about £450 to £5,950 a month plus VAT, depending on what they covered. Narrow packages, such as a few tracked prompts or off-site outreach only, sat at the bottom. Broad programmes with content, technical work and PR sat at the top. Minimum terms ran from one month’s notice to twelve months.

These fees buy different work, so they are not like for like. Many agencies also run their own AI tracking tool, so each measures visibility in its own way.

Where agency offers leave gaps

The buyer guides that agencies publish themselves point to the same weak spots, and OPTIMUM is built around them.

  • No standard scope. Two fees are not comparable without the scope behind them. OPTIMUM has a published rate card and a defined set of deliverables.
  • Each agency measures its own way. A higher visibility score can simply reflect a different sample of questions. OPTIMUM uses one 0 to 10 rubric and a dated Evidence Log, so scores can be compared over time.
  • SEO with a new label. Several guides warn that some agencies repackage SEO as GEO. A fixed audit lets you test any proposal against the same standard.
  • The audit is commonly a baseline before a retainer. The OPTIMUM report stands alone and can be taken to any supplier.
  • Sector depth is uneven. Most agencies work across sectors. OPTIMUM carries frameworks for automotive retail, estate agency, fintech, health tech, accountancy and professional services, and for other industries that rely heavily on website clicks.

The ready reckoner

The table below sets a typical UK GEO agency beside OPTIMUM v2.4, row by row. Keep it, print it, or take it into your next supplier meeting.

  Typical UK GEO agency OPTIMUM v2.4
Entry offer Audit or onboarding at £1,500 to £5,000, then a retainer Audit £700 (£350 introductory), two-hour discovery included
Ongoing work Retainer, typically £2,000 to £5,000 a month Advice at £350 a day or £50 an hour. Monthly Citation Watch POA
Price visibility Most say request a quote Published rate card, no VAT
Scoring The agency’s own tracker and metrics Fixed 0 to 10 rubric. Now Score, Future Score and Delta
Evidence Reports from the agency’s tracker Dated Evidence Log behind every score
Who fixes it The agency Your developers or agency, using the report as the brief
Third parties Often bundled into the retainer Flagged in the report. Caps the Future Score
Compliance Varies GDPR and crawler permission checks in every audit
Founder visibility Varies Checked in every audit
Sector depth Mostly cross-sector Automotive retail, estate agency, fintech, health tech, accountancy, professional services. Other industries heavily reliant on website clicks
Commitment One month’s notice to twelve months Fixed-fee audit, then advice by the day if wanted

Agency figures come from published UK GEO price guides, October 2026. OPTIMUM prices come from the State of the Art Digital rate card dated 19 August 2026, with no VAT. POA means price on application.

What OPTIMUM v2.4 gives you

  • A low cost of entry. The audit is £700, or £350 introductory for early clients, and includes a two-hour discovery meeting. That is well below the £1,500 to £5,000 agencies charge for an audit or onboarding.
  • A fixed score. Every dimension is scored 0 to 10 on one rubric, with a Now Score, a Future Score and the Delta between them.
  • Evidence behind every score. A dated Evidence Log shows how each number was reached, so a re-test is like for like.
  • Honesty about what you do not control. Where a gain depends on a third party, the Future Score is capped. The report does not promise results nobody can guarantee.
  • Compliance and person-level checks. GDPR status, crawler permissions and founder visibility are checked in every audit.
  • A brief you can reuse. Buyer guides advise sending every shortlisted agency the same brief. The OPTIMUM report is that brief, with scores to hold each proposal against.
  • Advice without a retainer. Day-rate advice is £350 a day or £50 an hour, on a two-hour minimum. Compare that with £2,000 to £5,000 a month.

If you want more, the next steps are priced on application: the Citation-Cluster Sitemap Blueprint, Build Oversight and Certification, and Monthly Citation Watch.

Where agencies are the better choice

To be fair, agencies win on delivery.

  • Delivery capacity. Many agencies bundle digital PR, content and technical work. OPTIMUM designs the work. It does not write pages or place coverage at volume.
  • Scale and reach. Larger agencies field big teams with multi-language support, which suits multi-market brands.
  • Joined-up channels. Some agencies coordinate GEO with paid search and paid social under one plan.
  • Continuous tracking. Many run in-house trackers that monitor answers all month. OPTIMUM re-tests on a schedule and relies on consultant time.
  • Small, narrow entry packages. Some start at a few hundred pounds a month plus VAT for tightly defined work.

Which option fits which situation

Your situation Best fit
You do not know why AI engines ignore you and want a plan before spending OPTIMUM audit
You have developers or an agency but no brief OPTIMUM audit as the brief
You need content and PR delivered at volume An agency retainer, scoped using an OPTIMUM audit and judged against its scores
Enterprise, multi-language, or GEO joined to paid media A larger agency, with an OPTIMUM audit as the baseline
Tight budget and a narrow need An OPTIMUM-LITE snapshot from £75 introductory, or a small agency entry package

The two work together. OPTIMUM diagnoses and an agency delivers. It should tell you what that team is being paid to fix.

So before you sign a GEO retainer, ask yourself: do you know what you are paying to fix?

 

Questions people ask about GEO retainers

How much does a GEO retainer cost in the UK?

One UK price guide puts entry-level programmes at £800 to £2,000 a month, most small and medium businesses at £2,000 to £5,000, competitive B2B work at £5,000 to £10,000, and enterprise programmes above that. Audit or onboarding fees of £1,500 to £5,000 are common on top. Fees buy different scopes, so compare what is included before you compare prices.

What does a GEO audit include?

A typical GEO audit reviews how AI engines describe your business, how your content is structured, your technical setup, and the authority signals that influence citations. It should end in a prioritised list of fixes. An OPTIMUM v2.4 audit scores seven dimensions, backs each score with a dated Evidence Log, and includes a two-hour discovery meeting and a written report.

What is the difference between GEO and SEO?

SEO aims to rank your pages in search results. GEO aims to get your business named and cited inside AI answers on tools such as ChatGPT, Gemini, Claude and Perplexity. The two overlap, and strong SEO foundations make GEO easier, but the measures of success differ.

How can I tell whether an agency is selling SEO with a new label?

Look for four warning signs: no baseline of how AI engines describe you today, no tracking of AI questions, reporting that covers only Google rankings, and a very low price for what is called full GEO. One UK price guide suggests that well under £1,500 a month usually means rebranded SEO. Ask which questions and which AI engines will be tracked, and how often.

Can anyone guarantee that I will appear in ChatGPT?

No one controls what AI engines say, so a guarantee of specific answers should end the conversation. Some agencies offer conditional guarantees on a defined measure. Check the metric, the eligibility, the period and the remedy. OPTIMUM takes the cautious route: where a gain depends on a third party, the Future Score is capped.

How long does GEO take to show results?

UK sources vary. Some report early signs within a few weeks, with more consistent movement over two to three months. Work that depends on third-party coverage usually takes longer. Treat any promise of dramatic change in weeks with caution.

How do I measure whether GEO is working?

Track a fixed set of buyer questions every month. Record whether you are mentioned, whether you are recommended, and whether your own website is cited, and compare that with your main competitors. Add AI referral traffic in your analytics and, most importantly, enquiries. OPTIMUM re-tests against the same Evidence Log, so the before and after are like for like.

Do I need an agency, or can my own team do the work?

It depends on who can carry out the fixes. If you have developers and writers waiting for a brief, a diagnostic report may be enough. If nobody has the capacity, you need delivery, and an agency is the better fit. Either way, work out the gap before you buy.

What should I ask an agency before I sign?

  • Can you show me how AI engines describe my business and my competitors today?
  • Which questions and which AI engines will you track, and how often?
  • What does the fee include: strategy, content, technical work, PR, tools?
  • How does this fit with our existing SEO?
  • What results have you achieved for businesses like ours, and how were they measured?
  • What is the minimum term, and what happens if we stop?

Is there a cheaper way to find out where I stand?

Yes. OPTIMUM-LITE has two snapshot diagnostics. The AI Readiness Diagnostic reviews how ready your website is for AI engines. The AI Citation Diagnostic runs 12 prompts across three AI apps: ChatGPT, Claude and Gemini. Each is £150, or £75 introductory for early clients.

Which industries is OPTIMUM built for?

Automotive retail, estate agency, fintech, health tech, accountancy and professional services, plus other industries that rely heavily on website clicks for business.

Stop Searching Yourself in ChatGPT

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AI consultants or ‘the loudest voice’, ‘aka the new industry expert’ in a specific business forum seem to be telling business owners the same thing right now.

“Open ChatGPT, type your business name, see what comes back.”

Half the time nothing does, and the point of the exercise is apparently to make you feel bad about that.

It’s a lame party trick dressed up as insight.

It tells you nothing about why you’re missing, and even less about what to do next. It just produces a bit of dread, which is handy if you’re about to sell someone a fix or look clever.

Here’s what’s actually going on underneath. Old-school SEO worked on a fairly crude logic: say the right words often enough, in the right places, and Google would eventually decide you deserved to rank. Keywords, backlinks, meta descriptions, all of it built around repetition being treated as proof. Type it enough times and the machine believes you.

AI search agents don’t work like that. They’re not hunting for the phrase that matches the query, they’re trying to work out whether the things being said about you actually check out. Does your own website agree with what your Google listing says, agree with what a review site says, agree with what a directory says? Are other people online independently backing up the claim, rather than you just repeating it about yourself in twenty different places?

That’s a completely different game. It has more in common with how a journalist stands up a story than with how a search engine used to rank a page. One source saying something is a tip. Three unconnected sources saying the same thing is closer to a fact.

Which is why, if you did get cited somewhere by an AI tool this week, I wouldn’t get too excited about it. It might have nothing to do with anything you’ve done. A particular query happened to fan out in a particular direction, and a page of yours happened to line up with something else on the web that day. That’s luck, not a strategy, and luck doesn’t show up again next month on its own.

That’s really the bit nobody wants to say, because it’s inconvenient for anyone selling a quick fix. Appearing once proves almost nothing. What actually matters is whether the same business turns up again for a different question, on a different platform, a month later. If it doesn’t, that first appearance was noise. A fluke pairing that happened to hold together for five minutes.

So what does actually move the needle, if it’s not the ChatGPT search and it’s not chasing a single mention?

Mostly it comes down to whether the story about your business is consistent everywhere it appears, and not just because you’ve written it the same way on every page you control. It’s whether other people, sites and listings you don’t control are saying the same thing about you unprompted. That agreement between independent sources is roughly what these systems are built to go looking for.

It also helps enormously if what you’re claiming is specific enough to check. Calling yourself a trusted local expert doesn’t give anyone anything to verify, and everybody says it anyway, so it carries no weight. Saying you’ve handled probate sales in a particular postcode for fifteen years is a claim someone, or something, could actually test against other evidence.

Who’s saying it about you matters more than it used to. A named, traceable review sits differently to an anonymous one, and the systems doing this checking are getting better at telling the two apart.

None of that is complicated, and none of it needs a screenshot of ChatGPT to prove or disprove. It’s closer to building a reputation that would survive a sceptical journalist asking around than it is to gaming an algorithm. The old approach rewarded saying things a lot. This one rewards things that are still true when somebody checks.

So by all means search yourself if it makes you feel something – remember to be Incognito mode. Just don’t mistake the result for an answer.

Why So Much Of The AI Citation Debate Misses The Point

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There is a recurring theme in the AI SEO industry and LinkedIn discourse around AI citations: people arguing about what makes a website, brand or piece of content “citable” by AI.

Much of the debate is understandable. AI Search is still immature, the platforms are changing rapidly and nobody has a complete picture of exactly how systems such as Google AI Overviews, ChatGPT, Perplexity and Gemini select their sources. But there is an important distinction that often gets lost.

Being eligible to be cited is not the same as giving an AI system a reason to cite you.

This is where the OPTIMUM framework separates AI Search readiness into two broad tiers.

Tier 1 is the foundation. It is about making a business understandable and accessible to machines. Crawlability, site architecture, structured data, entity clarity, consistent business information, technical signals and trust all matter. Without a coherent digital identity and a website that AI systems can access and interpret, there is little point worrying about sophisticated citation strategies.

But Tier 1 is increasingly becoming the entry ticket.

Tier 2 is where the competition starts.

Tier 2 is about creating the information and authority that gives an AI system a reason to choose one business over another. It moves beyond individual keywords and isolated articles towards connected areas of useful information that answer the questions surrounding a customer’s original query.

An AI system does not necessarily have to answer a user’s question by finding one page containing the perfect keyword. It can break that question into supporting questions, explore different sources and assemble an answer from the information it considers useful, relevant and trustworthy.

That changes the game.

The objective is no longer simply to produce a page that ranks for “best estate agent in Brighton” or “best used Porsche dealer.” It is to build a body of credible information that helps an AI system understand who you are, what you know, what you do, where you operate, who you serve and why your information is worth using.

This is why I think some of the current LinkedIn arguments about AI citations are premature.

People are trying to identify the citation factor when the reality is much more complicated. Technical accessibility matters. Entity clarity matters. Authority matters. Relevance matters. Information quality matters. Intent matters. Reputation matters. The relationship between all of these signals matters too.

We are still in the early stages of this transition.

The businesses that understand this distinction will have an advantage. They will not simply ask, “How do I get cited?”

They will ask a much better question:

“What would make an AI system choose me as a useful and trustworthy source?”

That is the real AI Search challenge.

Want to understand what this means for your business? DM me for more information about AI Search, GEO and the OPTIMUM framework. I’m building OPTIMUM in public and thanks to social media increasingly well connected with academics internationally for peer reviews and development.

#AISearch #GEO #DigitalMarketing #SEO #DigitalTransformation #OrganicGrowth

About OPTIMUM

OPTIMUM is State of the Art Digital’s AI SEO and GEO audit framework, scoring a business across seven dimensions of AI search readiness with a Now Score, a Future Score and the Delta between them. It is the methodology behind the research and terminology referenced throughout this newsletter.

About AI Search, Today and Tomorrow

AI Search, Today and Tomorrow is State of the Art Digital’s combined research study, bringing together three flagship reports on how AI search is reshaping business visibility, including the Zero-Click Economy findings referenced above. It is updated and republished on a quarterly basis as the AI search landscape develops. A copy is available on request.

OPTIMUM: How SMEs Can Ensure AI Mentions Them

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For most small and medium-sized businesses, the biggest risk from AI search is not lower rankings; it is invisibility. Your website can rank on page one and still never appear in the AI‑generated answers that now sit above the links. OPTIMUM is a practical, SME‑friendly framework that shows exactly why that happens and what to fix so your business is cited, named and recommended inside AI summaries on Google AI Overviews, ChatGPT, Perplexity, Gemini and similar engines.

Why traditional SEO is no longer enough

Classic SEO optimises for a list of blue links. AI search optimises for inclusion in the answer itself. Generative engines do not just rank pages; they retrieve, synthesise and attribute information from sources they judge to be clear, trustworthy and easy to cite. That means signals like structured data, entity clarity, citation readiness and GDPR‑friendly crawler access matter as much as, or more than, keyword density and backlinks when it comes to appearing in AI summaries.

An SME that only tracks rankings can therefore look successful while being completely absent from the AI answers that increasingly drive enquiries, shortlists and purchasing decisions. OPTIMUM exists to close that gap.

What OPTIMUM is

OPTIMUM is a structured AI visibility audit and scoring framework created by AI search expert Steve Coulter. It models how AI systems interpret, retrieve and cite your business across a defined set of dimensions, then turns that into a scored report with a prioritised action plan. The output is designed to be read by owners, marketers and technical teams alike: a branded document showing where you stand, where competitors are beating you, and what to do next.

Crucially, OPTIMUM does not produce a single magic number. It produces a structured picture of your AI visibility profile across seven core dimensions, each scored and weighted by its impact on the likelihood of being cited. GDPR compliance is treated as a foundational requirement for both the business owner and the OPTIMUM audit process itself.

The seven OPTIMUM dimensions (and what they mean for an SME)

The framework sets out seven scored dimensions that together determine your AI visibility. GDPR compliance sits alongside these as a non‑negotiable prerequisite for both the business and the audit. For an SME, each dimension translates into concrete questions and actions.

1. Technical AI Accessibility

This dimension asks: can AI crawlers reach, read and process your site without obstruction? It covers:

  • Robots.txt and crawl budget, ensuring AI bots are not unintentionally blocked or throttled
  • Page speed and Core Web Vitals, as slow, unstable pages are less likely to be used as sources
  • llms.txt and related AI‑facing files, emerging standards that help large language models understand your site’s structure and content in a machine‑friendly format. llms.txt as an emerging standard is controversial as there are mixed opinions on effectiveness. Ask how long does it take to add in and make your own decision? It’s minutes.

SME takeaway: If your site is technically hard to crawl or too slow, AI engines may skip it entirely, regardless of how good your content is.

2. Structured Data and Schema

This assesses whether your content is marked up so AI systems clearly understand who you are, what you do and where you are relevant. It includes:

  • Correct schema types for your business, for example LocalBusiness, Product, Service, FAQ, Review
  • Accurate implementation of name, address, phone, opening hours, service areas and key offerings
  • Coverage across important page types: home, location pages, service pages, product pages, about, contact

SME takeaway: Well‑implemented schema makes it far easier for an AI to extract clean, attributable facts about your business and cite them in a summary.

3. E‑E‑A‑T Signal Strength

AI systems favour sources that demonstrate experience, expertise, authoritativeness and trustworthiness. OPTIMUM evaluates:

  • Clear author bylines, bios and credentials on key content
  • A strong About page that explains who you are, your history and why you are qualified
  • External references, citations, press mentions and industry affiliations that corroborate your claims

SME takeaway: Even a small business can score highly here by being explicit about real‑world experience, qualifications, case studies and third‑party validation.

4. Content Authority and Depth

This dimension measures whether your content shows genuine subject‑matter expertise rather than thin, generic copy. AI rewards:

  • Original insight, primary data and clear point of view
  • In‑depth guides, comparisons and explainers that go beyond what every competitor already says
  • Regularly updated, relevant content aligned to your core services and customer questions

SME takeaway: You do not need to publish daily, but you do need a focused set of high‑quality pages that prove you know your niche better than anyone else.

5. Machine Readability and Structure

AI needs content that is easy to parse and extract from. This dimension looks at:

  • Clear heading hierarchy (H1, H2, H3) that mirrors the logical structure of the topic
  • Concise, factual statements that can be quoted without heavy rewriting
  • Use of FAQ‑style sections, bullet points and tables where appropriate to make key facts obvious

SME takeaway: Write for humans first, but format so an AI can quickly identify the answer within your page.

6. Citation Readiness

Citation readiness is distinct from general SEO quality. It asks whether your content has the characteristics that make AI systems comfortable attributing claims to your website, such as:

  • Precise, verifiable statements with dates, figures, sources where relevant
  • Clear ownership of data and opinions, for example Our 2025 survey of 300 local buyers found…
  • Consistent messaging across pages so the AI is not confused by contradictions

SME takeaway: If your claims are vague, inconsistent or unsupported, AI engines will prefer to cite other sources.

7. Cross‑Platform AI Presence

AI engines draw on more than your website when forming answers. This dimension evaluates your presence and mentions across:

  • Industry publications, local news and relevant blogs
  • Review platforms, directories and trade bodies
  • Community platforms, such as Reddit and niche forums, where your brand or services are discussed

SME takeaway: Being talked about elsewhere gives AI systems additional confidence that your business is real, relevant and worth citing.

GDPR compliance: the foundation for both business and audit

GDPR compliance is not an eighth dimension; it is the foundation that makes the other seven meaningful. It applies in two ways:

  • For the business owner: Your site must handle personal data lawfully, with clear privacy notices, appropriate consent mechanisms and robust security. AI crawlers and platforms are increasingly sensitive to sites that appear non‑compliant or opaque about data practices.
  • For the OPTIMUM audit process: The audit itself must be conducted in a GDPR‑compliant manner, ensuring any data collected, stored or analysed during the assessment respects privacy obligations and is used only for the agreed purpose.

SME takeaway: If your site requires interactive consent before content is visible, or your data practices are unclear, many AI crawlers will simply leave, and you will not appear in summaries. Strong GDPR compliance protects both your customers and your AI visibility.

How an OPTIMUM audit helps an SME appear in AI summaries

For a typical SME, an OPTIMUM audit works in three stages:

  1. Measurement and scoring Your site, and often key competitors, is assessed against the seven dimensions. Each dimension receives a score and commentary explaining what is working and what is not. GDPR compliance is verified as a prerequisite.
  2. Gap analysis and benchmarking The report highlights which dimensions are dragging your AI visibility down most and shows where competitors are outperforming you in AI search. This makes it clear whether your main problem is technical, content‑related, trust‑related or a mix.
  3. Prioritised action plan You receive a clear set of recommendations ordered by impact, such as:

Because the recommendations are prioritised, an SME can focus limited time and budget on the changes most likely to move the needle on AI visibility.

What this looks like in practice

Local trades business (for example plumber, electrician)

Before OPTIMUM: Ranks well for plumber in town but never appears when someone asks an AI Who is a reliable plumber in town for emergency call‑outs?

After OPTIMUM fixes:

  • LocalBusiness schema correctly implemented with service areas, emergency call‑out details and reviews
  • Service pages rewritten with clear, factual answers to common AI‑style questions, such as response times, coverage, pricing ranges
  • Stronger Google Business Profile, local directory citations and a few local news mentions

Result: AI engines now have clean, attributable data and third‑party signals that make it safe to name and recommend the business in local AI answers.

Specialist B2B service (for example HR consultancy, IT support)

Before OPTIMUM: Good blog traffic but generic content that mirrors competitors; no clear author credentials; weak schema.

After OPTIMUM fixes:

  • Author bios with real experience and credentials added to key articles
  • Core service pages restructured with clear headings, FAQs and data‑backed claims
  • A small set of original reports or surveys published and promoted to industry sites

Result: AI systems begin to cite the firm’s data and viewpoints when answering questions like What are the main HR compliance risks for UK SMEs in 2026?

How often should an SME run an OPTIMUM audit?

AI search behaviour is changing quickly. For most SMEs:

  • A full OPTIMUM audit every six months is a sensible baseline
  • A lighter review in between is useful if you make significant site changes, launch new services, or notice shifts in how AI answers appear for your key queries

Retained advisory arrangements can include ongoing monitoring, but even a periodic audit gives you a structured way to measure progress and keep your AI visibility aligned with your business goals.

Bottom line for SMEs

If your customers use AI to research providers, compare options or get recommendations, your AI visibility is now a core business metric. OPTIMUM gives SMEs a clear, evidence‑based way to:

  • Understand why they are or are not appearing in AI summaries
  • See exactly which technical, content and trust signals matter most for their sector
  • Implement a focused, prioritised plan to become the brand AI engines cite, not the one they ignore

In a world where the answer is increasingly a single AI‑generated paragraph, OPTIMUM is how an SME makes sure that paragraph includes them.

Why Ranking on Page One Doesn’t Get You Quoted by ChatGPT

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The finding

Multiple independent studies in 2025 and 2026 point to the same conclusion: ranking in Google’s top ten does very little to guarantee a citation in ChatGPT.

Ahrefs analysed 15,000 prompts and found that on average, only 12% of links cited by ChatGPT, Gemini and Copilot appear in Google’s top ten results for the same query. A separate Ahrefs study of ChatGPT’s top 1,000 cited pages found that fewer than one in six of ChatGPT’s chosen sources show up in Google’s SERPs for the matching query at all. Moz’s 2026 analysis found that 88% of Google AI Mode citations do not come from the organic top ten, and put ChatGPT’s overlap with Google’s top results at just 6.5%. A separate correlation study measured the relationship between Google position and ChatGPT citation order at close to zero.

So the pattern holds across several research houses using different methods: a page can dominate page one and still be invisible to ChatGPT, and a page with no meaningful Google ranking can still be the source ChatGPT quotes.

What this means and why it happens

Traditional SEO ranking and AI citation are answering different questions. Google ranking measures relevance and authority for a search query. ChatGPT citation measures whether a passage can be lifted cleanly, attributed with confidence, and used to answer a specific question inside a generated response.

The mechanics behind the gap:

  • Different retrieval systems. ChatGPT does not simply read Google’s results. It draws on its own index, third-party search APIs and training data, then re-ranks candidates by its own criteria, not Google’s ranking signals.
  • Structure over authority. ChatGPT favours reference-style content that is comprehensive, well-organised and easy to extract cleanly: Wikipedia, structured how-to pages, homepages, and app store or review pages score disproportionately well. Ahrefs found Wikipedia alone accounts for around 30% of ChatGPT’s top-cited content.
  • Data density matters. Content with a high number of concrete statistics and figures gets cited far more often than descriptive copy making the same points in general terms.
  • Freshness is weighted. Most ChatGPT citations come from recent content, so an older page that once ranked well can lose citation share even while it keeps its Google position.
  • Backlinks predict Google rank, not AI citation. Brand mentions across other authoritative sources are a stronger predictor of AI citation than the backlink profile that drives conventional ranking.

The practical consequence for any business: a website can be doing everything right by traditional SEO standards and still be absent from the answers customers actually see, because ChatGPT is not scoring the same things Google scores.

How OPTIMUM identifies the gap

OPTIMUM audits a website against seven dimensions of AI visibility and produces a qualitative analysis rather than a generic score out of one hundred. Each finding is written up in plain terms: what the site currently does, where the structure or content fails to meet the standard AI engines actually use for citation, and what specifically needs to change.

Every dimension carries three figures:

  • Now Score – where the website currently stands
  • Future Score – where it could realistically stand once the identified fixes are made
  • Delta – the gap between the two, showing the size of the opportunity in each dimension

This turns the abstract problem of “we don’t show up in ChatGPT” into a structured, dimension-by-dimension breakdown: content structure, citation-readiness, technical accessibility to AI crawlers, data and statistical density, freshness and update cadence, authority signals beyond backlinks, and the areas most likely to be re-ranked by AI systems ahead of Google’s own results.

The Now/Future/Delta format means a client sees not just a diagnosis but a measurable target, and the dimensions with the largest Delta show precisely where effort will produce the greatest citation gain.

Find out where your website stands

If you don’t know whether ChatGPT, Gemini or Claude are citing your website, you’re planning blind. An OPTIMUM audit will show you exactly where the gaps are, dimension by dimension, with a clear route from Now Score to Future Score. Get in touch with State of the Art Digital to book yours.

Why John Lewis Just Built a Studio for AI Search

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When a 160-year-old department store starts building a television studio inside its flagship shop, it’s worth asking why. When the answer turns out to be “so chatbots talk about us more”, it’s worth paying close attention.

That’s exactly what John Lewis has done. On 3 September, the retailer opened The Box Studio at its Oxford Street store, a purpose-built space for video and audio content, and launched a new vodcast called Gift List, hosted by Angela Scanlon with Louis Theroux as the first guest. Six episodes will run in the lead-up to Christmas, each pairing Scanlon with a well-known guest to talk about the gifts they’ve given, received, and occasionally got badly wrong.

On the surface, this looks like a media story. Underneath, it’s a search story, and a very telling one for anyone working in marketing today.

The real reason for the studio

John Lewis has been open about its motive. As reported by The Guardian, the chatshow and studio exist specifically to make the brand and its products more visible to chatbots and more prominent in AI search results. This isn’t a guess or a bit of spin from an agency. It’s the retailer’s own stated purpose.

The numbers explain the urgency. A year ago, AI search tools such as ChatGPT sent John Lewis around 0.3% of its customers. That figure now stands at 2.5%, an eightfold increase in twelve months, and outgoing managing director Peter Ruis has said the growth is happening across every age group, not just younger shoppers experimenting with new tools.

Ruis also pointed to something more interesting than the show itself: the value of the studio’s speed. Being able to film inside a working shop means John Lewis can respond to a cultural moment within days rather than weeks. He gave the example of the Bayeux Tapestry exhibition at the British Museum reviving interest in cross stitch, and the timing of a new Harry Potter television series ahead of Christmas. He now rates that capability alongside the Christmas advert and the “never knowingly undersold” pledge as central to the business.

Why chatbots need feeding, not persuading

This is the part that matters most for anyone running a business. Large language models don’t work like traditional search engines. You cannot pay for a mention inside a ChatGPT or Gemini answer, and you cannot optimise a single web page and expect a citation to follow automatically. These models build their answers by drawing on what other credible sources are already saying about a brand or product, favouring content that is fresh, independently produced, and genuinely discussed rather than simply published.

John Lewis has grasped this. Gift List follows the same model as Waitrose’s Dish podcast, which the group has already used successfully to generate exactly this kind of third-party discussion. The studio isn’t there to make adverts. It’s there to manufacture the ongoing, citable conversation that AI systems rely on when they decide what to recommend.

This is the mechanism I describe to clients as the Chaff Effect: as more businesses compete for the same limited citation space, the brands producing genuine, timely, discussable content are the ones that keep getting picked, while the rest become background noise the models scroll past. John Lewis is positioning itself deliberately on the right side of that split, and doing it before most of its competitors have even noticed the shift is happening.

What this validates for everyone else

The interesting bit isn’t that a retailer has launched a podcast. Retailers launch podcasts all the time. The interesting bit is why, at board level, with a named presenter and a dedicated studio, and with the explicit reasoning stated in public.

John Lewis is a business built on caution and long-term thinking, not on chasing trends. When a brand with that reputation commits real budget to AI visibility, purely because the traffic and the sales it delivers can no longer be ignored, it stops being a niche marketing theory and becomes a board-level growth channel.

For smaller businesses, the lesson isn’t “build a studio”. It’s that the underlying principle applies at any scale. AI search rewards businesses that produce content worth citing: honest reviews, real demonstrations, genuine expert commentary, and material that answers the questions customers are actually asking an AI assistant. You don’t need Louis Theroux in the room to benefit from that same logic. You need to be present in the conversation before your competitors are.

John Lewis has just shown, very publicly, that the businesses treating AI search as an afterthought are the ones falling behind. The ones treating it as seriously as their Christmas advert are the ones about to pull ahead.

 

AI SEARCH: Google PPC ROI Going Backwards? Read On.

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Google Is Eating Its Own PPC Business. Here’s Where the Budget Should Go Instead.

For twenty years the deal was simple. Google gave you the organic result for free and sold you the paid one next to it. Two products, one page, no conflict of interest.

That deal is breaking down. AI Overviews now sit above both. They answer the query before the user reaches either the organic listing or the ad. Google has built a product that competes with its own advertisers, and the data on how badly is now solid enough to act on.

The numbers advertisers need to see

Paid click-through rate on queries where an AI Overview appears has collapsed. Independent tracking across thousands of queries found paid CTR falling from 19.70% to 6.34% once an AI Overview took the top of the page, a drop of more than two thirds. Queries without an AI Overview saw nowhere near that decline.

At the same time, cost per click has gone the other way. Average Google Ads search CPC reached $2.96 in Q1 2026, up 12% year on year, the steepest rise since 2021. Three forces are driving it: AI Overviews compressing organic click volume by 8 to 12%, which pushes displaced traffic into the paid auction; Performance Max expanding into more inventory and intensifying competition for it; and Smart Bidding escalation, where every advertiser’s algorithm chases the same efficient frontier at once.

Put the two trends together and the picture is unambiguous. Advertisers are paying more for a placement that converts less, because the AI layer above it is absorbing the click before the ad is ever seen.

This is cannibalisation, not disruption

Disruption implies an outside force changing the market. This is Google restructuring its own page to prioritise a product it fully controls, at the expense of a revenue line it also fully controls. The AI Overview is not a neutral feature sitting between organic and paid. It is a third product competing with both, built by the same company that sells the other two.

Performance Max makes the squeeze worse because it removes advertiser control at the exact moment control matters most. There are no keyword lists, no placement level budgets, no manual bid adjustments. You feed it assets and a goal, and it chases inventory automatically across Search, Display, YouTube, Gmail, Discover, Maps and now Waze. Every new surface Google adds becomes something PMax bids into without asking you first. That is inventory expansion working exactly as designed. It is also auction pressure you did not choose and cannot switch off.

Why the fix isn’t “spend more on PPC”

The instinctive response to falling CTR is to bid harder to hold position. That response is now actively unprofitable. You are bidding into a shrinking pool of clicks that survive the AI Overview, at a price inflated by every other advertiser doing the same thing. It is spend chasing a contracting opportunity, not a stable one.

The more useful question is where the AI Overview’s traffic actually goes. It does not vanish. It goes to whichever source the AI Overview or the AI App result cites. Brands cited inside an AI Overview earn measurably more of the residual organic clicks than brands mentioned nearby but not cited. The click that used to be won with a bid is now won, or lost, before the auction even happens, based on whether your content was structured well enough to be pulled into the answer.

This is the mechanism the OPTIMUM framework has been built around since 2024. Tier 1 is the technical and structural foundation that makes a page machine-readable and citation-eligible in the first place, structured data, entity clarity, crawlable architecture. Tier 2 is the citation-cluster layer built on top of it, content and product pages architected around the fan-out queries an AI system actually generates when it decomposes a user’s question. A business with weak Tier 1 is invisible to the citation engine regardless of PPC spend. A business with strong Tier 1 and no Tier 2 is citable but thin, present without authority.

Where the budget should actually go

The case for reallocating a portion of PPC spend toward AI-optimised website and product page architecture is not a hedge. It is arithmetic.

PPC now buys a shrinking, increasingly expensive slice of clicks that survive an AI Overview. Citation-cluster investment buys presence inside the AI Overview and the AI App result itself, the layer that decides who gets seen before any auction takes place. One is renting a diminishing asset. The other is building a durable one, since citation eligibility, once structurally embedded, keeps compounding across every future query in that cluster without an incremental cost per click.

The businesses already ahead on this split tend to be the larger operators with the resource to run both tracks simultaneously, approaching what the framework calls Epoch 2, where every competitor has completed Tier 1 and competitive advantage shifts entirely to Tier 2 execution. Smaller operators are still trying to out-bid a machine that has already decided not to show their ad to most of the people searching. That is not a strategy. It is a losing bet against an opponent who has already changed the rules.

The practical allocation

This is not an argument for abandoning PPC. High-intent, bottom-funnel commercial queries where no AI Overview appears remain a legitimate paid channel, and will for some time. The argument is for stopping the reflex of defending top-of-funnel and informational query positions with bid increases, when those are precisely the queries AI Overviews have already absorbed and are not coming back.

A sensible reallocation moves budget away from defending CTR on AI-Overview-saturated queries and into citation-cluster sitemap architecture, structured data completion, and entity clarity work, the technical groundwork that determines whether a business is even eligible to be cited when the AI Overview forms its answer. Spend on being the answer, not on renting the space next to it.

Google built the auction. It also built the thing that is quietly emptying it. The only rational response is to stop paying to be seen in a place fewer people are looking, and start building to be cited in the place they are.

Steve Coulter is the founder of State of the Art Digital, an independent AI search visibility consultancy built around the OPTIMUM framework for AI citation readiness. He has been working in search since 1999, with a sales and marketing background spanning senior roles at Renault UK and automotive industry management before moving into independent consultancy in late 2024. His work focuses on automotive retail and estate agency, with a growing client base across financial services, publishing and other UK SME sectors. ‘AI Search Today and Tomorrow’ is a three part thesis which anchors published research and AI Search SaaS products.

stevecoulter.co.uk | steve@stevecoulter.co.uk | +44 (0)7407 038877

AI Search: WTH Is Going On With Business Leaders?

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With the unstoppable rise of AI Summaries, here are stats that should be concerning many a boardroom.

71% of UK websites score below 50/100 for AI visibility.

Not one has hit “AI-Ready” status. Zero, out of 31,000+ sites audited.

Meanwhile:
→ AI Overviews now intercept 1 in 3 Google searches
→ Zero-click has hit 60% of all searches
→ For informational queries, it’s 70%+

Does your customer’s journey begin with research?

Fewer than 5% of UK SMEs have done anything about this.

Not “not enough.” Anything.

That means 95% of business leaders are watching prospects get answered and half-persuaded by AI before a human ever reaches their website.

No dashboard flags this. No familiar metric dips. It’s just quiet, compounding absence.

Structured sites get cited 3x more than unstructured ones.

That’s not a marginal edge. That’s the difference between being in the conversation and not existing in it.

The businesses winning this aren’t the biggest. They’re the ones built in a language AI can read and trust.

Everyone else finds out the hard way. One invisible enquiry at a time.

Is your site one of the 71%? I run AI visibility audits against the OPTIMUM framework.

Message me with your business URL and contact details and I’ll tell you exactly where you stand.

 

AI SEARCH: Google AI Overviews Is Killing Your Clicks

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Google is quietly keeping 58 of every 100 clicks that used to be yours.

That’s not a projection. It’s Ahrefs’ December 2025 data: when an AI Overview appears, the page ranking first loses 58% of its click-through rate. You can hold position one and still lose the majority of the traffic that used to come with it.

Google’s AI Overviews aren’t a niche feature anymore. A 2026 study of over 55,000 queries found they now trigger on 13.7% of all searches, and 64.7% of question-form searches.

Ask a question on Google today, and there’s a two-in-three chance the answer is written before you ever reach a website.

Here’s the part that should worry you more. Independent audit data shows 77% of U.K. SME websites are sending confusing signals to AI search platforms right now: inconsistent business descriptions, missing schema, unclear entity structure. These aren’t cosmetic issues. They are the exact signals AI systems use to decide who gets cited and who gets skipped entirely. They’re exactly what OPTIMUM is designed to surface.

Most businesses are still fighting for rankings on a channel that’s shrinking, while the channel replacing it is being handed out to whoever happens to have their structural signals sorted. Right now, almost nobody does. That’s not a long-term advantage window. It closes.

I’ve mapped this in three reports:

1.Your Business Is Becoming Invisible
2. The Chaff Effect
3. Search Doomsday Is Q3 2027

Together they show the same thing from three angles: the shift is already measurable, most businesses have no defence against it.

Stop reading about it. Get your website OPTIMUM AI Risk audited before your competitor does.

To open the conversation message me for the FREE reports and let’s find out where you actually stand.

Once we know the remedy I have affordable consultancy and retained advisory hours to help you.

Don’t wait until Q3 2027 to find out your website is invisible and your enquiries have vanished.

AUTOMOTIVE: AI Search – Shock Therapy

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The third in a series of three articles explaining how the retail automotive industry appears unaware and wholly unprepared for the paradigm shift in search from SERPS results to AI Summaries, and how dealers are not preparing for something already underway they are mostly unaware of. Read about a future where your business is left with only the poorest enquiries.


Outside the citation pool: what happens to the dealers AI stops mentioning

A buyer in Wolverhampton asks ChatGPT which dealer to use for a used Golf. Somewhere on a nearby high street sits a dealership that has traded for thirty years, sponsors the local football club, and has a reputation built up over three decades of word of mouth. ChatGPT doesn’t mention them. Not ranked lower. Not on page two. Simply absent from the answer, as though they don’t exist.

This is already happening. It will happen more often, to more dealers, in less time than most people in this industry think.

The Chaff Effect, in numbers rather than theory

The wider thesis behind this shift is the Chaff Effect: as AI systems answer more buyer questions directly, organic traffic to any individual dealer website falls, and what does arrive skews towards the buyers AI couldn’t confidently place elsewhere.

Play that forward and the outcome is uglier than a simple decline in visitors. The buyers still landing on a dealer’s own site are disproportionately price shoppers, tyre-kickers and people outside the dealer’s actual catchment, the enquiries AI wasn’t confident enough to resolve on its own. The buyers AI is confident about, the ones ready to commit, go straight to whichever dealer got named. No shopping around. No comparison. One dealer gets the sale before the buyer has spoken to anyone.

The dealer who wasn’t cited never gets the chance to make the case, because there was no shortlist. There was one name.

This compounds. Fewer conversions mean less marketing spend, which weakens exactly the signals that would have earned citation next quarter. A dealer outside the pool doesn’t stay in a stable, disadvantaged position. They drift further out, and the gap gets harder to close the longer it’s left.

Two dealers, same forecourt, different outcomes

Picture two dealerships eighteen months from now. Same stock levels, same staff, same marque, same town. One is cited consistently across ChatGPT, Google’s AI Overviews and Perplexity whenever a buyer in their area asks who to trust. The other is cited by none of them.

The first dealer sees enquiry volume hold or grow, with leads that already trust the dealership before a single call is made. Cost per sale falls, because trust was established before the buyer ever engaged. The second dealer sees a slow decline in enquiries that doesn’t show up as a single alarming drop, just a gradual thinning that’s hard to pin on any one cause.

That’s the part that should genuinely worry dealers. A falling Google ranking shows up in Search Console with a clear before and after. Falling out of AI citation shows up as nothing. There’s no dashboard alert that reads “AI stopped recommending you.” The dealer simply sees fewer enquiries, assumes it’s the market, and carries on doing what they were doing, unaware that the actual cause is structural and getting worse.

Why your website provider can’t fix this at the pace required

This is not a once-a-year update. AI platforms change crawler behaviour, citation criteria and schema expectations on a rolling basis, closer to continuous than annual. A platform provider running template updates twice a year, built for hundreds of dealers on the same underlying system, cannot track and respond to that pace, and most aren’t trying to.

The honest question is whether dealers can keep up with this on their own. Mostly, no. Not without treating it as an ongoing operational discipline rather than a website feature ticked off once and forgotten.

What your provider should be offering, and probably isn’t

Hold your website provider to this list. If none of these are on offer as a standing service rather than a one-off project, you’ve been sold a website built for a web that no longer exists.

  • Ongoing schema audits, not a single implementation project
  • Citation monitoring across ChatGPT, Google AI Overviews, Perplexity and Gemini as a continuous service
  • llms.txt and crawler configuration maintained as platform rules change
  • Entity consistency monitoring across third-party directories, not just the dealer’s own site aka ‘uncorroborated claims’
  • Quarterly reporting on AI citation share against named local competitors, not just organic traffic figures
  • Talking to you about how AI Agents answer questions for prospects without visiting your website – The Zero Click Effect.

The deadline that isn’t abstract

Search doomsday, the point at which AI answers overtake traditional click-through search as the default buyer journey, is projected for Q3 2027. That’s roughly a year away.

The dealers doing this work now are building a citation history that compounds in their favour. The dealers who wait until 2027 to start will be trying to establish trust signals in a market that has already decided who the trusted names are. By then, the citation pool isn’t open for new entrants in the way it is today. It’s a list that gets harder to join the longer it’s already been settled.

The question worth asking isn’t whether AI search will affect car sales. It already does. The question is whether your dealership is inside that pool or outside it, and whether anyone at your business would currently be able to tell you which.

‘Your Business Is Becoming Invisible’, ‘Search Doomsday’ and ‘The Chaff Effect’ are three reports detailing AI Search today and its effect on enquiries in the near future.

State of the Art Digital works with automotive retailers on the OPTIMUM Seven Dimension AI Summary and Citation Audit. Contact steve@stevecoulter.co.uk or +44 (0)7407 038877.

 

RETAIL AUTOMOTIVE: An Industry Unprepared

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The second in a three part series explaining how the retail Automotive industry appears unaware of the paradigm shift in AI search summaries, citation and search behaviour – and are not implementing change to accomodate a shift they are mostly unaware of.

Why your dealer website provider isn’t ready for AI search, and why that’s your problem too

Every dealer website says roughly the same thing. Decades of trading. Manufacturer approved. Trusted by thousands of customers. None of that means anything to an AI agent unless it can be corroborated.

This is the part of AI search that automotive retail hasn’t caught up with yet. ChatGPT, Google’s AI Overviews and Perplexity don’t take a dealer’s word for its own expertise, trust or authority. They cross-reference it. A claim only counts if it’s backed by structured data, consistent entity information and verifiable signals scattered across the dealer’s own site and the wider web. Say it without the backing, and an AI model simply won’t repeat it, or worse, just won’t mention the dealer at all.

Corroboration, not copywriting

Most dealers still think of trust signals as a writing problem: get the tone right, mention the years in business, add a testimonials page. AI agents work differently. They check whether a claim is structurally supported, not whether it reads well.

A dealer stating compliance, regulatory or association membership needs that claim reflected consistently across the FCA and Companies House records, the Google Business Profile, manufacturer directories and the dealer’s own site, all pointing to the same verifiable entity. A dealer claiming forty years of trading needs that history to show up somewhere an AI model can check it, not just as a line on the About page. This is closer to infrastructure than marketing, and it sits squarely in technical SEO territory, which is exactly where most dealer sites are weakest. Critically, making claims that cannot be corroborated by an AI Agent will dramatically reduce the likelihood of an AI mention or citation.

Where dealer website providers are behind

Dealer platform providers built their systems for a different web. Fast stock feeds, finance calculators, lead capture forms. That’s what dealers have been sold, and it’s what most providers still optimise for.

Structured data on these platforms is typically limited to basic vehicle schema, enough to get a car listing showing correctly in a regular search result. Beyond that, the gaps are consistent across the sector: no proper Organization schema tied to a verifiable entity, no Person schema for staff or specialists, Review and AggregateRating markup either missing or poorly implemented, LocalBusiness data that’s inconsistent across branch pages and Google Business Page, and no FAQPage schema answering the actual questions buyers now put to ChatGPT rather than search – or are intercepted and answered in an AI Overview generated by Google and sitting above the results page. Never mind ensuring content is not generic and is so-called non-commodity. AI Agents tend to cite based on the content of the top 30% of a web page, particularly the first 10%, also if the page fans out with follow up questions. Then duplicated in the machine-readable code. These concepts are virtually non-existent in automotive.

A platform built to serve hundreds of dealers from one template cannot produce dealer-specific authority, because authority is not a template feature. It comes from a dealer’s own history, staff and reputation, and a generic site simply has nowhere to put that.

The signals AI agents are actually checking

The OPTIMUM Seven Dimension AI Summary and Citation Audit exists precisely because these signals need to be checked individually, not assumed. The dimensions covering technical readiness and schema implementation look at entity consistency across every external reference to the dealer, citation density on trusted third-party sources, staff and authorship credibility, review authenticity and volume, robots.txt and llms.txt configuration that isn’t accidentally blocking AI crawlers, and structured data depth on every page, not just the homepage.

Most dealer sites fail several of these dimensions without anyone noticing, because the site still looks fine to a human visitor. The problem is invisible until it’s tested against how an AI agent actually reads the page.

This is a bigger job than the industry has clocked

The honest assessment is that automotive retail is not ready for this. Fixing vehicle schema is an afternoon’s work for a competent developer. Building genuine entity consistency, credible authorship signals and page-level structured data across an entire dealer site, and keeping it that way as stock, staff and locations change, is an ongoing technical and editorial commitment. Most dealer groups have neither budgeted for it nor assigned anyone to own it, and most platform providers are treating it as a features list item rather than the structural rebuild it actually is.

That gap matters because the timeline is short. The wider thesis behind this shift, ‘Search Doomsday’, points to Q3 2027 as the point where AI answers overtake traditional click-through search as the default buyer journey. That is not a distant horizon. It’s roughly a year away, and the work required here is not the kind that gets done in a sprint. It will affect any industry where informational search queries are the first part of a prospect’s journey.

What the dealer actually has to do

None of this can be outsourced entirely to a platform provider, however good the provider is. The dealer is the entity being corroborated, so the dealer has to own the consistency of that entity everywhere it appears. That means auditing what currently exists, fixing trust and schema gaps page by page, and treating technical SEO as a live discipline rather than a one-off build.

An OPTIMUM Citation Gap Analysis is the starting point for any dealer wanting to know where they currently stand, rather than assuming their website provider has this covered. Most haven’t.

State of the Art Digital works with automotive retailers on the OPTIMUM Seven Dimension AI Summary and Citation Audit. Contact steve@stevecoulter.co.uk or +44 (0)7407 038877.

AUTOMOTIVE: The AI Marketing Imperative

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Car Dealers: build AI authority on your own forecourt, not someone else’s

Car dealers are being urged to rethink their digital strategy as AI-driven search changes how buyers find vehicles and choose who to trust with their money.

ChatGPT, Google’s AI Overviews and Perplexity increasingly give buyers a direct answer rather than a page of listings. Visibility is no longer about rankings or how many stock photos sit on AutoTrader. It comes down to whether AI systems recognise a dealer as a trustworthy source at all.

That is the shift behind the thesis that your ‘Business Is Becoming Invisible’. Not invisible in the old sense of slipping down the rankings, but absent from the answer altogether. When an AI Overview or Answer gives a buyer one or two named and fully researched recommendations instead of ten blue links, a dealer either is that recommendation or doesn’t exist for that buyer. There is no page two. Increasingly a link isn’t clicked at all.

AI SEO and GEO (Generative Engine Optimisation) are converging into a single discipline that most dealer groups still treat as an afterthought. That is a mistake with a shelf life. ‘Search Doomsday’, the point at which AI answers displace traditional click-through search as the default buyer journey, is projected for Q3 2027. Dealers who wait for that shift to arrive will be optimising for a channel that has already moved on.

Optimisation matters, and it matters where you do it

Too many dealers pour content, reviews and stock data into third-party portals without realising who benefits. List a car on AutoTrader, Motors.co.uk or a manufacturer’s certified used platform, and the AI trust signals generated by that content accrue to the portal, not the dealership. The dealer builds someone else’s AI visibility with their own budget.

This is the gap the OPTIMUM Seven Dimension AI Summary and Citation Audit was built to expose. OPTIMUM breaks a dealership’s digital presence into seven measurable dimensions: technical readiness, content structure, citation patterns, schema implementation, off-site authority, competitor benchmarking and platform-specific performance across ChatGPT, Google AI Overviews, Perplexity and Gemini. For a dealer group, that means knowing whether AI platforms cite the dealership’s own website when a buyer asks who to trust, or whether every citation flows to a portal the dealer doesn’t control.

Long-term visibility lives on your own domain

Optimising AI SEO and GEO directly on a dealership’s own website builds long-term visibility and brand equity the dealer actually owns, rather than rents.

There is a third thesis worth knowing here too: ‘The Chaff Effect’. As AI answers more queries directly, organic traffic to any given website falls, and what remains skews towards harder-to-convert buyers, because AI has already filtered out the easy wins upstream in the information phase, in old money that’s higher up the sales funnel. Dealers feeding third-party platforms without a parallel strategy on their own site are handing over the signals that decide who is authoritative, while their own slice of a shrinking pool gets thinner still.

A buyer asking ChatGPT which dealer to trust for a used BMW is answered by whichever domain the AI has learned to cite, and increasingly that is not the dealer’s own.

An OPTIMUM Citation Gap Analysis makes this visible rather than theoretical. It shows exactly where a dealer’s own website is skipped over in favour of third-party sources, then sets out what needs to change, from schema markup and structured pages through to the first-party content AI models treat as citable.

The dealers who move first will own the conversation – AKA The Early Mover Advantage

Dealers who invest early in their own AI visibility will be far better placed as buyers increasingly ask AI tools who to trust to sell them a car, service their vehicle, or handle their part-exchange.

Independent dealers must navigate this shift in search and behaviour, the question is straightforward: is your website building AI authority you own, or funding someone else’s?

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State Of The Art Digital works with automotive retailers on the OPTIMUM Seven Dimension AI Summary and Citation Audit. Contact steve@stevecoulter.co.uk or +44 (0)7407 038877.

AI Search Doomsday: Don’t Look Up!

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Ever seen the film Don’t Look Up? A black comedy drama which portrays a group of astronomers (including; Leo DiCaprio & Jennifer Lawrence)  who accidentally notice a distant asteroid is on a collision course with Earth that might be diverted – but fail to get their warning across to a sceptical world and leaders. Inevitably civilisation ends. There’s a lot of running around near the end.

AI Search Doomsday Q3 2027 won’t end the world, but my detailed and peer reviewed research suggests it could end or do serious damage SME and MME businesses who are not already working on increasing the likelihood of their web pages’ AI Summary inclusion and citation or appearing on AI App outputs. Few are being assisted by the website provider industry – the reluctant gatekeepers of change

The people who I have spent time with over the last three months are truly the outliers and thinkers in industry. They have noticed an unprecedented and difficult to interpret drop in Click Through Rates from vital search phrases and/or recognise the threat AI Search poses to their industry. We have a remedies underway. Where is your business on this paradigm shift?

My Linked-In post today.

In late 2024 I started digging into a question most business owners haven’t asked yet:

What happens to search when AI stops sending clicks to websites and just answers the question itself.

The authoritative and published data I’ve been tracking since is stark. Zero-click searches have gone from 56% to 69% of all Google queries in a year. When an AI Overview appears, that jumps to 83%. Organic click-through rates on those queries are down 61%. HubSpot, one of the best SEO operations in the world, lost 70 to 80% of its organic traffic in under 12 months, while its rankings barely moved.

That’s the part people are starting to notice. What I’ve spent the last year and a half researching is what it actually means for a business, and I’ve written it up across three reports which are all now published.

– Your Business Is Becoming Invisible sets out the diagnosis. Ranking and being cited by AI are now two separate problems. Across 20 UK automotive and estate agency audits I ran, the average AI readiness score was 5.5 out of 10, and not one of those businesses knew it.

– Search Doomsday Is Q3 2027 puts a date on it. AI is currently intercepting around 17% of the clicks that would once have gone to a website. Every data source I’ve reviewed converges on the same figure: 40% by Q3 2027. That is the point where the question changes from “do we rank?” to “do we get cited?”

– The Chaff Effect is the sharpest and damning finding of the three. Clicks are not disappearing evenly. AI resolves informational, early-stage searches 74% of the time, but only 31% of transactional ones. Businesses are losing the awareness-stage traffic that used to feed everything else, while the pool that is left quietly runs dry behind them.

Next week I’m releasing a benchmark that lets any SME or MME leader, and the marketers working for them, see exactly where they stand against this shift, and what to do about it before the inflection point arrives.

If your enquiries have been sliding while your rankings look fine, this is why.

More next week.

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Feel free to contact me if you are the director or employee in the business pushing to ensure yours is included in AI Summaries, Citations and on AI Apps.

AI SEARCH: Why Small Brands Still Have a Chance

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For brands also read businesses. Your business.

Apple, Reddit and HubSpot are not scrapping for a place in AI answers, and there is one reason for this: training data.

AI engines will cite and quote a brand under two conditions:

  1. The model already knows the brand (training data)
  2. The model can find the answer it needs on the brand’s website (retrieval)

Large brands have already secured their position in the AI citation game. They dominate answer engine optimisation for free, more or less, because these models were trained on data in which those brands are already deeply embedded.

Sixty per cent of ChatGPT answers never touch the live web at all, which tells you how much weight training data carries.

For a smaller brand, competing on training data is a losing battle. The real opportunity lies in the second path: retrieval.

When an AI engine cannot find the answer in its training data, or needs something current, it runs a web search. This is where a smaller brand gets its chance to be cited and quoted. The route to that chance has not changed: SEO. But it is a specific flavour of SEO that matters here.

Retrieval depends on technical foundations:

Technical SEO. If a crawler cannot access, render or parse your site cleanly, none of your content is retrievable, no matter how good it is. Fast load times, clean site architecture, proper canonicalisation and a crawlable structure are the entry ticket, not an afterthought.

Structured pages. Content built around one clear question per page, with a direct answer near the top, gets pulled into AI responses far more easily than content buried in long, unfocused articles. Structure your pages the way you would structure an answer if someone asked you directly.

Comprehensive schema markup. Schema tells AI engines exactly what your content means, not just what it says. FAQ schema, Article schema, Organisation schema and Product schema, used properly and thoroughly across the site, give models the clearest possible signal that your page holds the answer they are looking for.

llms.txt. This is the newest lever available. An llms.txt file gives AI models a direct, structured route to your most important content, much as a sitemap does for traditional search engines. It will not guarantee a citation, but it removes friction and makes your best answers easier to find and trust.

There is a genuine glimmer of hope here. Retrieval can beat fame. A smaller brand with a more retrievable answer, backed by solid technical SEO, well-structured pages and thorough schema, will win the citation over a bigger brand that only earns a passing mention.

The golden rule for winning at retrieval is simple:

Own your niche completely. Every topic. Every subtopic. Every question a customer might ask. The instant an AI model spots a gap in your coverage, it moves on and cites whoever has filled that gap instead.