Problem Solving

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.

BUSINESS COACHING: Affordable Small Business Development

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Small Business Coaching That Helps You Sell Better and Manage Smarter

Running a small business today is harder than ever. You’re doing the work, finding the customers, managing the staff, and trying to keep on top of marketing. It’s a lot. Most business owners never get proper guidance on how to grow without working themselves into the ground.

That’s where I can help.

I’m a small business coach specialising in sales, marketing, and management for local businesses. I work with owners who want to sharpen their strategy, strengthen their brand, and run their business with more confidence. My focus is on real results, not buzzwords or expensive consultancy.

Practical Coaching for Real-World Businesses

I’ve spent over nearly four decades in management, sales, and marketing. Now I use that experience to help small business owners build stronger, more profitable operations. My approach is simple, straightforward, and designed around your goals.

Here’s what I offer:

1. Sales and Marketing Coaching

We review how your business attracts and keeps customers. That means improving your visibility on Google, refining your message, and making sure your promotions actually bring in leads.

I help you:

  • Create a clear, local marketing plan
  • Improve how you handle enquiries and follow-ups
  • Build stronger customer relationships
  • Turn happy customers into repeat business and referrals

Everything we do is practical and measurable. You’ll know exactly what to do next and why it works.

2. Business Management and Systems

Good marketing means little if the business behind it is struggling or disorganised. I’ll help you to introduce order into your day-to-day operations. Together we’ll simplify your process, admin, pricing, and time management, and make sure the business runs smoothly.

You’ll learn simple systems that save time and reduce stress. Most clients find they gain hours back each week once their processes are in place  – or they know where to look when something appears from the left-field.

Who I Work With

I coach SME that is Small & Medium Enterprises, Owner Operator and Micro-Businesses across trades, retail, and services. That includes:

  • Builders, decorators, and local trades – who typically have little or no dedicated marketing
  • Shops, cafés, and independent retailers
  • Family-run firms ready to modernise or who wish to protect against disruptors
  • Freelancers and sole traders who want to grow

My clients are skilled at what they do but need structure, clarity, and direction. They want a business that works for them, not one that runs them ragged.

Flexible, Affordable Coaching Options

I understand that budgets are tight in 2025. I’m a business enthusiast first and a coach second, so my rates are fair and flexible. You’ll always know what you’re paying for and what to expect in return.

You can start small or go deeper depending on what you need:

  • Business Health Check – A two-hour session to spot quick wins and fix problem areas.
  • Six-Week Growth Programme – Focused coaching on marketing, sales, and management.
  • Monthly Mentorship – Ongoing support and accountability to keep progress steady.

Or you tell me – and we will create and affordable programme together.

All sessions are one-to-one, either in person (preferable) or online via WhatsApp or MS Teams.

Why My Coaching Works

Because it’s based on experience, not theory. I’ve managed teams, grown sales, and dealt with the same day-to-day challenges that most small business owners face. I don’t offer generic advice. Every session is tailored to your business and your goals.

Clients tell me the biggest benefit isn’t just growth — it’s clarity. They leave sessions knowing what to do, in what order, and how to track results.

Get Started

If your business could use a fresh look and a clear plan, let’s talk. Whether you need help finding customers, improving sales, or streamlining how you work, I’ll help you move forward with confidence.

Book your free introductory call today and take the first step towards a business that’s organised, visible, and profitable.

SCC for Simple – Creative – Cost-Effective solutions

AUTOMOTIVE: Tesla In Reverse

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Tesla faces its gravest crisis yet with plummeting sales, legal battles, and brand toxicity. Can Musk’s desperate sales intervention save the company he built?

Tesla Sales Slump. A Company In Reverse.
The numbers tell a brutal story. Tesla’s second-quarter deliveries plummeted 13.5% year-on-year to just 384,000 vehicles, whilst European sales collapsed by as much as 45% in early 2025. Even in Tesla’s stronghold markets of China and the United States, rivals including BYD, Volkswagen, and Hyundai are systematically dismantling the company’s once-impregnable market position.

What began as isolated competitive pressure has metastasised into an existential crisis encompassing product stagnation, mounting legal challenges, and a brand toxicity that would have been unthinkable just two years ago. Elon Musk’s response – personally commandeering Tesla’s sales operations from the company’s headquarters – represents either inspired leadership or desperate theatre. The evidence suggests the latter.

Tesla’s troubles extend far beyond routine quarterly fluctuations. Industry analysts point to a fundamental product problem: the company has launched no genuinely new mainstream models since the divisive Cybertruck, leaving its core range looking increasingly antiquated. The Model S and Model X, now approaching their second decade, lack the technological edge that once justified premium pricing, whilst even the refreshed Model 3 and Model Y variants have failed to generate meaningful market excitement.

Manufacturing bottlenecks from Model Y production transitions have exacerbated inventory buildups, creating the paradox of falling sales alongside unsold stock. “Tesla is caught between worlds,” explains one former executive who departed the company last year. “They’re trying to maintain premium positioning whilst competing on volume, and it’s not working.”

The human cost of these missteps extends beyond shareholders. Recent months have witnessed an exodus of senior talent, including the head of North American sales and key battery engineering leaders, suggesting internal recognition that current strategies are failing.

Perhaps more damaging than operational setbacks is Tesla’s reputational crisis. Musk’s increasingly vocal political alignment, particularly his association with Donald Trump, has triggered what industry observers term a “consumer revolt” in traditionally progressive markets where Tesla once dominated.

The “Tesla Takedown” movement, documented across social media platforms, encompasses everything from organised boycotts to physical vandalism of vehicles. Resale values have declined accordingly, with specialist automotive data firms recording measurable drops in Tesla’s brand perception scores throughout 2025.

“We’re seeing something unprecedented,” notes Professor Sarah Davidson, who studies automotive consumer behaviour at Warwick Business School. “Political polarisation is directly impacting purchase decisions in ways we’ve never measured before. Tesla owners are reporting embarrassment about their vehicles.”

Tesla’s troubles extend into America’s courtrooms, where multiple high-stakes cases threaten both immediate operations and long-term viability. California’s Department of Motor Vehicles is pursuing a 30-day sales ban over allegedly misleading advertising of Autopilot and Full Self-Driving capabilities, a move that would devastate Tesla’s largest single market.

Simultaneously, a wrongful death trial in Miami centres on Autopilot’s role in a fatal 2019 crash, with potential punitive damages that could establish precedents for autonomous vehicle liability. Legal experts suggest the outcome could fundamentally reshape how self-driving technologies are marketed and deployed. Tesla’s very own Trolley Car Problem.

Beyond these headline cases, Tesla faces a growing constellation of “phantom braking” complaints, quality control lawsuits, and antitrust challenges to its repair monopoly. Each represents not merely financial exposure but further erosion of consumer confidence in Tesla’s core technologies.

Central to Tesla’s current predicament is a business model that once represented revolutionary thinking but now appears increasingly anachronistic. The company’s rejection of traditional franchise dealerships delivered early advantages in pricing control and customer experience, yet state-level dealership protection laws have created a patchwork of legal restrictions that limit Tesla’s expansion opportunities.

More problematically, Tesla’s insistence on controlling all aspects of vehicle servicing has created what consumer advocates term a “repair monopoly.” Owners face extended delays, higher costs, and limited alternatives when vehicles require maintenance, issues that traditional franchise networks handle through distributed infrastructure and competitive pricing.

“The direct-to-consumer model worked brilliantly when Tesla was a premium niche player with devoted customers,” observes automotive retail consultant James Morrison. “But mass-market consumers expect convenience and choice that Tesla’s current structure simply cannot deliver at scale.”

Industry data supports this assessment. Whilst traditional manufacturers leverage dealer networks to manage demand fluctuations and regional variations, Tesla must shoulder these burdens independently. The resulting bottlenecks in service capacity and inventory management become particularly acute during periods of market stress.

Reports from Tesla’s Fremont headquarters suggest Musk has resumed the hands-on approach that characterised the company’s early years, reportedly employing Musk’ peculiar trademark of sleeping at the facility whilst personally directing sales strategy. The company has rolled out aggressive incentive programmes including discounted financing, complimentary software trials, and targeted offers for military veterans and educators.

These measures represent classic demand stimulation tactics, designed to shore up quarterly numbers ahead of Tesla’s earnings announcement. However, automotive industry veterans express scepticism about their long-term effectiveness.

“Incentives are a sugar rush,” explains former General Motors executive Patricia Williams, now an independent consultant. “They can mask underlying problems temporarily, but they don’t address fundamental issues of product competitiveness or brand perception. Tesla’s challenges are structural, not tactical.”

Stock market analysts echo this assessment, noting that Tesla’s current crisis encompasses precisely the factors that discount-driven sales campaigns cannot address: ageing product lines, manufacturing inefficiencies, legal liabilities, and consumer sentiment.

Tesla’s recovery requires acknowledgement that its original advantages have largely evaporated. The company’s technological lead has narrowed considerably, with competitors matching or exceeding Tesla’s capabilities in areas from battery range to autonomous features. Meanwhile, manufacturing cost advantages have disappeared as established automakers achieve economies of scale in electric vehicle production.

Perhaps most critically, Tesla must confront the limitations of its direct-to-consumer model. Industry experts suggest hybrid approaches, incorporating elements of traditional franchise or agency partnerships, could address current bottlenecks whilst maintaining some operational control.

“Tesla needs to swallow its pride about the dealership model,” argues automotive strategist David Chen. “The best aspects of direct-to-consumer can be preserved whilst addressing the very real scalability and service issues that are alienating customers.”

Similarly, product renewal cannot wait for revolutionary technologies. Tesla requires incremental but meaningful updates to its existing range, coupled with genuinely new models that recapture market imagination.

Where is the Tesla equivalent ‘Dolphin Surf’ or WuLing Baojun’s funky “Yue Ye” a Suzuki Jimny impersonator, on price and desirability?

Tesla’s current predicament represents more than routine corporate turbulence. The company faces simultaneous challenges across every aspect of its operations, from product development to legal compliance to consumer perception. Musk’s personal intervention in sales operations, whilst symbolically significant, addresses none of these fundamental issues.

The electric vehicle market Tesla created has matured beyond recognition, populated by government funded capable competitors offering consumers genuine alternatives. Tesla’s survival depends not on charismatic leadership or promotional campaigns, but on systematic operational reform that acknowledges this new reality.

Whether Musk and his leadership team possess the humility to undertake such reform remains the critical question facing Tesla shareholders, employees, and customers. The company’s next chapter will be written not in boardrooms or Twitter feeds, but in the quotidian work of building better products and serving customers more effectively than increasingly capable rivals.

The Tesla revolution may be ending. What comes next depends entirely on the company’s willingness to evolve beyond the mythology that created it.

MARKETING: The Michelin Brothers’ Lightbulb Moment

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How Michelin Used Behavioural Science to Sell Tyres (Before It Was Cool)

When we discuss successful applications of behavioural science in marketing, we often think of recent digital campaigns with sophisticated data analytics. Yet one of the most brilliant examples dates back to 1900, when the Michelin brothers created what would become one of the most prestigious culinary institutions in the world, originally as a clever ploy to sell more tyres.

A Problem of Demand

In 1900, the automobile industry was in its infancy. In France, where the Michelin tyre company was based, there were fewer than 3,000 cars on the road. For the Michelin brothers, André and Édouard, this presented an existential business challenge: how could they grow their tyre business when so few people owned cars?

The brothers identified the fundamental behavioural challenge underlying their business problem. Car ownership wouldn’t increase unless people had compelling reasons to drive – and drive often. Their tyres would only wear out (requiring replacement) if motorists felt motivated to embark on journeys.

The Behavioural Insight

Their solution was ingenious: create demand for driving itself. The brothers understood a key principle we now recognise in behavioural economics, i.e. if you want to change behaviour, reduce friction and increase motivation.

They published the first Michelin Guide – a free handbook for motorists that contained practical information including maps, instructions for changing tyres, listings of mechanics, and importantly, places where drivers could find petrol stations, accommodation and good food while travelling across France.

The brilliance of this approach was multifaceted:

1. Reduced uncertainty: The guide removed a significant psychological barrier to travel – the fear of the unknown and the anxiety of not knowing where to find essential services.

2. Created social proof: By documenting places others had visited, the guide normalised the idea of recreational motoring.

3. Leveraged the endowment effect: Once motorists received the free guide, they felt compelled to use it.

4. Applied loss aversion: The guide highlighted experiences motorists might miss if they didn’t venture out on the roads.

From Marketing Tool to Cultural Institution

What began as a marketing tactic evolved significantly. In 1920, the guide was no longer free, with André Michelin reportedly saying, “People only respect what they pay for.” By 1926, they introduced the now-famous star rating system for restaurants.

The Michelin brothers had tapped into something deeper than they initially intended (aka the Law of Unintended Consequences) the human desire for quality experiences and authoritative guidance. The restaurant ratings became so prestigious that chefs would dedicate their careers to achieving Michelin stars.

Lessons for Modern Marketers

The Michelin Guide case study offers several timeless lessons:

– Understand the ecosystem of your product: Michelin realised their success depended on the broader adoption of automobile culture.

– Address behavioural barriers: They identified and systematically removed reasons not to drive.

– Create value beyond your product: The guide offered genuine utility that extended far beyond tyres.

– Play the long game: What started as a marketing tool became a complementary business and brand-building exercise that has lasted over a century.

Long before the terms “content marketing” or “behavioural economics” entered our lexicon, the Michelin brothers were pioneering these concepts through intuition and business acumen. They understood that to sell tyres, they needed to sell the journey first.

In our current era of data-driven marketing, the Michelin story reminds us that understanding fundamental human behaviour and motivations remains the cornerstone of effective marketing. Sometimes the most powerful applications of behavioural science don’t come from complex algorithms but from simple insights about what makes people tick, or in this case, what makes them drive.

Next time you’re developing a marketing strategy, ask yourself: What’s your equivalent of the Michelin Guide? How might you create value that extends beyond your product while subtly driving demand for it? I say this looking at the EV manufacturers who are marketing ‘the performance’ of luxury EV brands when buyers already know that!

Steve Coulter is a 35+year career sales and marketing professional. Author and researcher of the digital transformation resource ‘The Definitive Guide To Digital Transformation For Legacy Businesses’ and ‘Audit-Fix-Maximise’ a – do the simple things well – strategy for all digital marketers.