Generative Engine Optimisation

LINKEDIN: The Logic Behind The 2026 Algorithm Pt.4

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As LinkedIn shifts from a feed-driven model to a retrieval-based system, older content is no longer obsolete but conditional. Posts from previous years can re-enter circulation when present-day relevance reactivates them. This final piece examines how the platform now treats past work as dormant knowledge, and why coherence over time has become a decisive advantage.


Part 4: The Past Is Not Archived. It’s Dormant.

One of the stranger side effects of LinkedIn’s new identity is the sudden reappearance of the past.

Posts from 2024. Threads from 2025. Ideas that barely registered at the time drifting back into view, sometimes years later, as if the platform has developed a memory and decided it’s finally ready to use it.

Most people assume this is nostalgia, or randomness, or some minor quirk of the feed.

It isn’t.

What’s happening is reactivation, and it is one of the clearest signs that LinkedIn now behaves less like a social network and more like an answer engine.

Feeds forget.
Knowledge systems retrieve.

The old LinkedIn treated content as disposable. Once the moment passed, the post was effectively dead. The new system treats content as conditional. Dormant, not deleted. Waiting for a reason to matter again.

And that reason is always present-day relevance.

When an older post is commented on, shared with context, or even quietly rediscovered via profile exploration, it isn’t judged by the rules of the year it was written. It is evaluated by the rules of now. If it holds together and if it still answers a professional question cleanly then it re-enters circulation.

This is exactly how AI answer engines work. They do not privilege freshness by default. They privilege usefulness. Time is only a problem if it introduces error. Otherwise, survival becomes proof.

The same logic now applies at the profile level. If your recent work reinforces a topic you were already writing about years ago, the algorithm treats that continuity as evidence. You are not changing direction; you are confirming identity.

Old posts stop being “old”.
They become supporting material.

This is why comments matter more than people realise. A thoughtful comment is not just participation. It is a retrieval event. It pulls your thinking – past and present – back into view. It reminds the system what you are associated with, and how long you’ve been associated with it.

The system is not looking for novelty.
It is looking for confirmation.

This also explains why some content is never revived. Shallow takes age badly. Trend-dependent posts collapse without their context. Engagement bait dies the moment the crowd moves on. Time doesn’t rescue weak structure; it exposes it.

But well-formed thinking ages differently. It doesn’t spike, but it doesn’t decay either. It waits.

For people who wrote properly before the platform knew how to reward it, this moment feels oddly belated. Work that once seemed under-performant now reads like pre-training data. Not because it was clever, but because it was complete.

The important shift here is psychological. If you still think of LinkedIn as a feed, you’ll keep trying to keep up. If you recognise it as a retrieval system, you start thinking in layers instead of moments.

You don’t rewrite your past.
You reference it.
You echo it.
You let it resurface when the present gives it a reason to.

This is not content recycling. It’s identity reinforcement.

The uncomfortable implication is that nothing you post is truly finished anymore. Every piece either becomes part of a growing body of work – or it quietly disqualifies itself from being remembered.

Which brings us to the real divide opening up on the platform.

Some people are still posting to be seen.
Others are posting to be recognised – now, later, or by systems that haven’t fully arrived yet.

The new LinkedIn doesn’t reward urgency.
It rewards coherence.

Coherence, once established, has a long memory.

LINKEDIN: The Logic Behind The 2026 Algorithm Pt.3

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As LinkedIn’s algorithm converges with AI-mediated discovery, visibility is no longer the primary currency. What matters now is whether an individual’s thinking is stable, attributable, and reliable enough to stand in for them over time. This third piece of four for the New Year explores the implications of that shift, and why professional recognition is quietly replacing reach as the platform’s defining reward.

Part 3: From Posting to Permanence

This is the part that makes people uncomfortable, because it suggests the end of something.

The creator era on LinkedIn is quietly winding down. Not with a backlash, but with indifference. Performance without substance no longer compounds. Visibility without usefulness no longer sticks.

What replaces it isn’t silence. It’s reference.

LinkedIn is preparing for a world where professional insight is increasingly mediated by machines. Internal copilots. AI-driven search. Summaries of “what people who know about this think”. In that world, the platform doesn’t need louder voices. It needs reliable ones.

Which means content must be defensible. Contextually complete. Stable over time. Clearly attributable to someone who appears to know what they’re talking about — and to have known it for a while.

This is why older posts that were written properly are suddenly resurfacing. Not because the algorithm is sentimental, but because time is now a positive signal. Surviving without contradiction is a form of validation.

The great misunderstanding is that this is about reach. It isn’t. Reach is incidental. The real competition now is for recognition – by humans first, machines second, as someone whose thinking can safely stand in for them.

That’s why the LinkedIn algorithm and AI summary standards now look so similar. They are solving the same problem from opposite ends. One curates what professionals see. The other curates what professionals ask.

Both are ruthless about the same thing and that is; useless content does not deserve to persist.

The feed, as we knew it, is effectively dead.

What’s replacing it is slower, quieter, and far more consequential: a professional answer engine assembling itself in public.

Those who understand this will stop chasing attention and start building intellectual permanence.

The rest will keep posting – and wonder why nothing seems to last.

LINKEDIN: The Logic Behind The 2026 Algorithm Pt.2

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As LinkedIn’s algorithm matures, its priorities are beginning to mirror those of AI summary and answer engines. Engagement, topic consistency, and persistence are no longer social signals but confidence indicators, ways of assessing whether an idea can be trusted, reused, and abstracted without loss. This second piece of four explores why LinkedIn now appears to think less like a feed and more like a knowledge system, and what that convergence means for professional visibility.


Part 2: Why the Algorithm Now Thinks Like an Answer Engine

Once you stop thinking of LinkedIn as a feed, the rest of the behaviour makes sense.

Engagement, for instance, has not disappeared. It’s just been reinterpreted. A like is now little more than a nod. What matters is what looks like work. Long comments. Disagreement. Reframing. People taking an idea, turning it over, stress-testing it in public.

Those behaviours aren’t “engagement” in the social sense. They are confidence signals. They answer the same question AI summary systems ask before they surface anything: can this idea survive contact with intelligence?

If it can, it travels. If it can’t, it vanishes quietly.

The same logic applies to topic consistency. The 2026 algorithm is unusually attentive to what you return to, not just what you post. It notices whether you are circling a domain or skipping across them. Whether your thinking compounds or resets.

This mirrors exactly how AI systems establish authority. They don’t crown experts based on a single performance. They infer expertise through repeated association between an entity and a conceptual territory.

Post broadly and you dissolve.
Post narrowly and you condense.

This is why generic AI content is struggling. Not because LinkedIn has developed a moral objection to machines, but because derivative material fails the summarisation test. It adds no new signal. It cannot be safely abstracted. It collapses into sameness the moment it’s removed from its original phrasing.

Machines don’t distrust AI.
They distrust redundancy.

The irony, of course, is that the more AI content floods the platform, the more valuable human specificity becomes. Experience. Trade-offs. Uncertainty. The awkward edges that can’t be smoothed away without losing meaning.

That kind of material doesn’t perform instantly.
But it persists.

Persistence is what both LinkedIn and AI systems now reward.

Tomorrow, Part 3. From Posting To Permanence.

LINKEDIN: The Logic Behind The 2026 Algorithm Pt.1

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LinkedIn’s 2026 algorithm is widely being discussed as a technical update, but that framing misses the point. What’s actually happening is an identity shift: the platform is moving away from real-time feed dynamics and towards long-term professional relevance. My four part article explores why LinkedIn no longer behaves like a social network, how persistence has replaced velocity, and why the content that now survives looks suspiciously like material designed for answer engines rather than feeds.

Part I: The Day LinkedIn Stopped Being a Feed

There was a time when LinkedIn was a feed in the old sense of the word. A stream of updates, opinions, announcements and personal reinvention, moving fast enough that yesterday’s certainty was already buried by lunchtime.

That time has passed.

What most people are calling the “2026 algorithm update” isn’t really an update at all. It’s an identity change. LinkedIn has quietly stopped behaving like a social network and started behaving like something else entirely: a professional relevance engine.

The tell isn’t reach. Reach is a lagging indicator and always has been. The tell is what persists. Posts that should have died hang around. Conversations resurface days later. Certain voices appear again and again, not because they shout, but because the platform seems oddly reluctant to let them go.

This isn’t nostalgia or favouritism. It’s structural.

The old feed rewarded motion. Frequency, velocity, visible engagement. The new system rewards something closer to stability. Ideas that hold together. Arguments that don’t collapse when challenged. Thinking that survives being returned to.

That alone should sound familiar to anyone paying attention to how AI answer engines work.

AI systems are not interested in novelty for novelty’s sake. They are interested in material that can be retrieved, summarised, abstracted and reused without distortion. LinkedIn, it turns out, is now optimising for the same thing.

Which means it’s no longer ranking posts. It’s curating candidate knowledge.

Most people are still posting as if they’re feeding a stream. The platform, meanwhile, is quietly building a library.

Tomorrow, Part 2. Why The Algorithm Now Thinks Like An Answer Engine.

AI: Search Summaries – Christmas 2025 Essay

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I’ve spent 2025 understanding Generative Engine Optimisation and AI Search Summary preeminence at an academic level. The complacency regarding this phenomenon in business is shocking, but from a behavioural psychology perspective not unexpected. Thankfully it’s not too late for your business to capitalise.


The Most Dangerous Assumption in Search Right Now

The most dangerous assumption business owners are making today is not that AI search will fail. It is that it will behave like search always has.

Those working closely with Generative Engine Optimisation already know the uncomfortable truth. Search is no longer primarily about ranking pages. It is about being recognised as a source of truth inside an answer that may never send a click at all. Yet across industries, business leaders remain curiously relaxed. Revenue still comes in. Rankings still look acceptable. Dashboards do not scream emergency.

This is precisely the problem.

AI summaries do not announce disruption with penalties or crashes. They erode relevance quietly. They absorb demand upstream. They reward authority before most organisations realise authority is being measured differently.

For years, visibility meant position. First page. Top three. Number one. The mental model was simple and it worked. Now the interface itself has changed.

‘The search engine no longer asks users to choose. It decides, synthesises and presents a conclusion. If your brand is not present in that synthesis, you are not competing. You are absent.’

Many business owners struggle to internalise this because absence is invisible. There is no warning light for being excluded from an AI-generated answer. Traffic does not collapse overnight. Leads taper slowly. Performance reviews become conversations about seasonality, budgets or market conditions. The real cause remains unseen.

Complacency is reinforced by past success. If traditional SEO, paid media and brand recognition have delivered growth for a decade, it feels reasonable to assume they will continue to do so. That assumption is understandable. It is also historically naïve. Every major platform shift has rewarded early adopters and punished those who waited for certainty.

There is also a deep misunderstanding about what AI systems value. Many businesses believe that being good at what they do is enough. Decades of experience. Strong client relationships. Industry reputation. None of this automatically translates into AI authority.

Generative systems privilege clarity, consistency and structure. They reward entities that are easy to understand, easy to verify and easy to cite. Expertise that lives only in people’s heads, sales conversations or poorly structured content might as well not exist.

This is confronting. It implies that real-world authority is not sufficient. That uncomfortable implication is often dismissed rather than addressed.

‘Another factor is fatigue. Business leaders have lived through years of algorithm updates, platform volatility and digital false dawns. Each new shift sounds like noise until it becomes unavoidable. AI summaries are therefore filed mentally alongside blockchain, voice search or the metaverse. Interesting, perhaps important one day, but not urgent.’

The flaw in that thinking is scale and intent. AI summaries are not an experiment at the edge of search. They are becoming the interface itself. They sit directly between demand and discovery. They collapse the journey from question to conclusion.

When experts raise the alarm, they are often ignored because they are early. Early warnings always sound theoretical. Yet AI systems do not wait for consensus. They learn continuously. They establish citation hierarchies long before markets agree they matter. In other words, they value early adoption.

So by the time AI summary inclusion is widely recognised as critical, the sources deemed authoritative will already be entrenched. Catching up will be far harder than acting now.

This is not about chasing another optimisation tactic. It is about ensuring your business is legible to machines that increasingly decide which voices are heard at all.

‘The real risk is not being outranked. It is being unrecognised.’

Unrecognised businesses do not fail dramatically. They fade quietly, wondering where the demand went, while answers are being given elsewhere.

Steve Coulter is a four decades Sales and Marketing professional and enthusiast who has embraced the Internet and e-Commerce since 1999.

AI: Five Ways for SMEs to Protect Sales Leads and Marketing Efficiency in the Age of AI

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The rise of artificial intelligence and AI Search Summaries (Resulting in answers from Zero Clicks) is changing the way people find and choose businesses online. For SME owners, this shift means the traditional paths to generating sales leads and website traffic are under significant pressure. AI-driven search tools often provide direct answers without needing users to click through to websites. This can reduce the number of leads and enquiries your business may get from online marketing. But there are clear steps small businesses can take this week to adapt and safeguard their sales efforts.

Here’s five immediate moves you can make THIS WEEK. 


1. Optimise for AI-Driven Search

Simply relying on old-fashioned search engine optimisation is no longer enough. Generative AI and tools like Google’s AI Overviews pick and summarise information directly from websites. It pays to adapt your content and code with clear, authoritative answers to common questions your customers ask. Using structured data on your site helps AI systems extract your business information accurately, increasing the chance your company will be referenced and recommended even without a traditional link click.

2. Broaden Your Lead Generation Channels

With fewer website visits from AI summaries, it is wise to build leads through multiple channels. Boost your presence on LinkedIn, local business directories, review platforms, and relevant industry forums. Keeping these online profiles up to date ensures your company can be found through AI recommendations in different digital spaces, capturing customers who no longer start with a Google search alone.

3. Strengthen Trust and Credibility Signals

AI tools favour sources that demonstrate expertise and trustworthiness. Ensure your website clearly shows accreditations, client testimonials, and case studies. Keep your legal pages, such as privacy and terms, current and transparent – these may be automated using AI tools. These elements help build the confidence AI systems and your customers need to choose your business over others.

4. Focus on Direct Nurture and Retargeting

Since organic site traffic might drop, it is important to maintain contact with existing and potential customers through email newsletters, retargeting adverts, and downloadable resources. Collecting first-party data – for example, through newsletter sign-ups – with clear consent – means you can continue marketing directly to interested leads, even as search behaviours evolve. Building your own customer database and reviews away from major retail platforms like Autotrader and Right Move is vital.

5. Review Your Analytics and Tracking

AI search changes and stricter privacy rules may reduce the accuracy of traditional website analytics. Take a detailed look at your tracking and attribution methods. Consider tools that track referrals from AI platforms, branded searches, and mentions. Adjusting your measurement models allows better insight into where leads come from and how AI impacts your digital visibility. Also check typical searches on the major AI LLM apps like ChatGPT and Perplexity to see if you are included in citations – if not who is? What information is being picked up and can you emulate this?

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AI technologies are here to stay, but with the right approach, SMEs can continue to thrive. Taking these practical steps this week helps protect your sales pipeline and marketing success in a rapidly changing digital landscape.

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Too busy, or this is outside your level of expertise? Contact Me today for a conversation about how my agency might assist. 

DIGITAL MARKETING: AI-First SEO Era

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This paper presents the findings of a year-long study into how generative AI is disrupting the search landscape, marking a decisive shift from traditional SEO to a new era of AI-first discovery. Drawing on extensive research, expert insight and real-world testing, it examines the rise of Generative Engine Optimisation (GEO) and outlines the strategies modern brands must adopt to remain visible, authoritative, and trusted in AI-driven search environments. A definitive guide for organisations seeking to understand and thrive in the rapidly evolving world of generative search.

FYI I have a draft book manuscript ‘Ultimate GEO’ which you are welcome to please contact me for a copy. 

The AI-First SEO Era: Navigating Generative Search

Executive Summary

Context: The rise of generative AI is transforming how people search, shifting from traditional keyword-based search to AI-first paradigms.

Thesis: SEO is no longer just about ranking, it’s about being cited and trusted by AI models.

Key Trends: Generative Search Engines (GSEs), multi-intent queries, AI citations, structured content optimisation, and the new metrics of search success.

Recommendations: Build content with topical authority; prioritise experience and expertise (E-E-A-T); measure AI visibility, not just click-through; invest in AI + human content workflows.

1. Introduction: The Generative Search Shift

Search is evolving: Platforms like ChatGPT, Perplexity, Gemini, and others are no longer niche — they are fast becoming primary touchpoints for information discovery.
Implication for SEO: Traditional SEO based on PageRank, backlinks, and keyword frequency is being disrupted. The new frontier is Generative Engine Optimisation (GEO).
Users now expect concise, synthesized answers rather than lists of links.

2. Defining Generative Engine Optimisation (GEO)

What is GEO?

GEO is the practice of optimising content so that generative AI models can:

 1. Understand it deeply (semantic meaning, entities)
 2. Cite it when constructing responses to queries
 3. Attribute it in generated answers (i.e., as a source)

Key components of GEO:
Topical authority: building deep, interconnected clusters of content.

Semantic relevance: using structured data, knowledge graph signals, clarity of entities.
Credibility signals: authored by experts, backed by data / research, with original insights.
Clarity and structure: FAQ format, schema markup, headings, concise summarisation.

3. Emerging Ranking Signals in the AI-Driven Search Landscape

These are the signals that matter more in a generative AI search context, compared to classic SEO:

1. Topical Depth Over Keyword Density

AI models reward content that demonstrates deep understanding.
Topic clusters (pillar pages + subtopics) perform better than isolated blog posts.

2. Experience, Expertise, Authority, Trustworthiness (E-E-A-T)

AI increasingly values real experience: first-hand case studies, expert authors, unique data.
Verified credentials, research, and transparency matter more than ever.

3. Semantic and Contextual Relationships

AI uses entity recognition and knowledge graphs to understand relationships between topics.
 Internal linking, co-occurrence of ideas, and concept mapping help AI navigate your content.

4. Behavioral / Predictive Signals

AI engines use predictive behaviour: they try to infer next user intent, not just respond to the query.
Content needs to anticipate multi-step journeys (e.g., compare → buy → research).

5. Structured Data & Schema

Use of schema (FAQ, Article, HowTo, etc.) makes content more machine-readable.
Structured content helps AI summarise and cite your page correctly.

4. The Impact on Search Behaviour

Zero-click Searches Surge: AI overviews and answer-generation mean many users get their answer without clicking through. 
Changing Click Patterns: Traditional CTR becomes less reliable; instead, visibility is measured via citations in AI-generated responses.
Multi-intent Queries: Search intent is more layered, users may be comparing, buying, exploring, or interrogating. AI helps surface richer, intent-aware responses.
Discovery vs. Engagement: The goal shifts from driving traffic to being used as a trusted source by AI.

5. Risks and Challenges

AI-generated content pitfalls: Generic content, without depth or authority, is penalised by AI models. 
Brand bias and big-brand advantage: Larger, well-known brands may be more likely to be cited by AI if they already dominate topically.
Transparency & Attribution Issues: If AI cites your content incorrectly, or without a link, how do you ensure fair use?
Analytics Blind Spots: Traditional tools like Google Analytics / Search Console may not capture AI-driven visibility. As Reddit conversations highlight, SEO pros are “checking Search Console way less” in an AI-first world. 
Over-optimization risk: There’s a balance to strike, too much structure purely for machines can make content robotic or disjointed for human readers.

6. Strategic Imperatives for Businesses

To win in the generative search era, brands should:

1. Build Topic Clusters with Authority

Map out core themes → subtopics → supporting content.
Publish long-form, data-rich content, not just shallow blog posts.

2. Elevate E-E-A-T

Leverage subject-matter experts, generate original research, and highlight first-hand experience.
Use author bios, credentials, and case studies.

3. Optimise for AI Appearance

Use schema markup (especially FAQ, Q&A) to make it easier for AI to parse.
Create summaries, intros, and structured sections in your content to improve scannability.

4. Monitor AI Visibility, Not Just Clicks

Track citations in AI platforms (e.g., “Which sources did ChatGPT / Gemini / Perplexity cite?”).
Use tools that monitor generative engine visibility or build internal dashboards.

5. Adopt a Hybrid Content Workflow

Combine human expertise + AI drafting: AI can help generate first drafts, but humans should refine and fact-check.
Iterate based on how generative engines reference your content.

6. Prepare for Future Generative Search Modes

Voice, image, and even agent-based search (AI agents doing tasks) will become more common.
Make sure your content is multimodal-ready (e.g., alt text, conversational copy, structured data).

7. Case Studies & Examples (Hypothetical / Real)

Brand A (B2B SaaS): By building a deep topic cluster around “AI for Sales Automation,” they increased citations in AI overviews by 200% in six months.
Brand B (Health & Wellness): Expert-led content (doctors, nutritionists) was more frequently cited by generative models than competitor sites using generic AI content.
Brand C (E-commerce): Implemented FAQ schema on product pages and saw their pages being directly referenced in AI answer engines for common product questions.

8. The New SEO Tech Stack

To operate in this new era, businesses need a modern SEO stack:

AI Keyword & Topic Research Tools: For clustering by semantic meaning and intent.
Predictive SEO Platforms: That use forecasting to simulate how AI engines will respond to content.
AI Content Scoring / Quality Tools: To evaluate readability, topical depth, and authority.
AI Search Visibility Trackers: Tools specifically designed to capture how often your content is referenced or cited in generative AI outputs.
Automated Technical SEO Tools: For ensuring structured data, schema markup, fast-loading sites, and mobile readiness.

9. Future Outlook

Increasing dominance of generative search: As more users adopt AI for search, generative engines will capture a larger share of queries.
AI agents and multi-modal search: Autonomous AI agents (agents that search, compare, and transact) will create new demand for content structured not just for humans, but for other AIs. 
Evolving measurement frameworks: Traditional SEO KPIs (rankings, clicks) will be supplemented / replaced by “AI citations,” “answer appearances,” and “AI-engaged traffic.”
Ethical and trust considerations: Brands that provide transparent, trustworthy, expert-led content will be rewarded. Others risk being de-prioritised by generative engines.

10. Conclusion & Call to Action

The SEO landscape is undergoing a fundamental transformation, not incremental change, but a structural shift.
Brands that adapt their content strategy to be “AI-citable” and demonstrate genuine expertise will thrive.
It’s time to rethink SEO: from chasing rankings to building authority in the eyes of generative models.

The question for every business: Are you ready to optimise for the AI-first search world, or will you get left behind?

For more information or explanation of anything in my GEO Industry report and how this affects your own business please contact me.

DIGITAL MARKETING: Google’s Nuclear Button

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How Google’s AI Mode Button Has Changed Search Forever & What Every Business Needs to Know

There’s a seismic shift underway in the world of online search, and if your business or brand relies on visibility in Google, you cannot afford to ignore it. With the introduction of the new AI Mode button, now placed right at the top left and in the first position of Google’s search interface, everything you thought you knew about search engine optimisation is changing fast.

What Is Google’s AI Mode Button?

Google’s AI Mode button instantly transforms traditional search into a conversational, AI-powered experience. When users click (or, increasingly, tap by default) the new button, classic blue links and ten-result lists give way to something different. The search results page now delivers an intelligent, summarised answer, drawn from across the web, bolstered by only a few cited sources.

Why This Placement Is a Game-Changer

Let’s not underestimate the significance of the AI Mode button sitting right at the top left, in prime position. Most users won’t even think twice before clicking it. For businesses, this spells both fantastic opportunity and real risk – because user behaviour is shifting, and it is shifting fast.

The New Reality for Search and SEO

– Goodbye Clicks, Hello Summaries: AI Mode is designed to answer queries directly on the search page. This means fewer people clicking through to websites. The familiar flow from search to site is being replaced by instant answers, right there in Google.

– SEO Is No Longer Just Rankings: Traditional methods focused on keywords and moving up the search ranks. That isn’t enough now. To stand out, your content must be picked as a trusted source for Google’s AI-generated answers. If your site isn’t cited, it risks being invisible.

– Semantic Relevance Is Everything: The days of gaming Google with repetitive keywords are over. AI Mode matches user queries with content that best answers the meaning, not just the wording. Your content needs to be rich, informative and genuinely authoritative to even be in the running.

– Expertise and Trust Are Essential: Only the most reputable, accurate and well-presented information gets chosen. Demonstrating true expertise and trustworthiness is now the entry fee for being cited.

– Analytics Have Changed, Too: Old metrics like clicks and impressions don’t tell the whole story any more. Success is about being seen and cited within AI-generated answers. That means rethinking both how we track results, and how we report on them.

What Every Business Must Do Now

– Review your website’s content and update it to offer real, valuable answers to your audience’s questions.
– Focus on creating and highlighting expertise, clear authority and trust. Use facts, current data, and cite reputable sources within your content, not just opinions.
– Diversify your content formats, including summaries and key points – make it easy for Google’s AI to pick out your insights.
– Monitor your visibility in AI responses, not just classic search rankings.

Ready or Not, Change Is Here

Google’s AI Mode button marks a new era for search. It rewards brands and businesses who invest in high-quality, well-crafted content that genuinely helps users. Those who continue clinging to short-term tactics or keyword stuffing risk losing out as Google continues to drive users towards more efficient, AI-powered synthesised answers.

Don’t be left behind. Start adapting your content strategy today – audit your website, rewrite your key pages, and ensure your most important insights are unmissable and authoritative.

Book a call with our team now to future-proof your SEO for the age of AI search. Your digital presence and future viability depends on it.

 

DIGITAL MARKETING: AFFORDABLE AI & SEO HEALTH CHECK

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Is your business visible when it matters most?

With Google’s AI summaries now dominating search results, the digital landscape has shifted dramatically – and quickly.

What worked last March might be costing you customers today.

As an SME owner or director, you’re juggling countless priorities. But here’s the reality: whilst you’ve been focused on running your business, the way customers discover and evaluate companies has fundamentally changed. Google’s AI now determines which businesses get featured in those crucial summary boxes that appear before traditional search results.

The question isn’t whether you need a digital presence – it’s whether your current one is working.

Many SME owners assume their website and social media are “sorted” because they exist. But an empirical analysis often reveals:

• Your ideal customers can’t find you when they’re actively searching

• Competitors with weaker offerings are appearing ahead of you

• Your digital messaging doesn’t reflect your actual business strengths

• You’re missing opportunities in channels where your customers actually spend time

This isn’t about expensive overhauls or complex tech solutions. It’s about getting an objective, data-driven assessment of where you stand and what simple changes could make the biggest impact.

The businesses thriving right now aren’t necessarily the biggest – they’re the ones that understand their digital footprint and have aligned it with how customers actually behave online.

If you’ve been putting off that digital review because it feels overwhelming or expensive, consider this: the cost of not knowing where you stand is likely far higher than finding out.

The bonus is that my service is not only invaluable, but very affordable – I’ve started and run SME sized businesses so I understand cost control and value.

Don’t let your competitors steal tomorrow’s customers whilst you’re serving today’s.

Message me to get the ball rolling. 

DIGITAL MARKETING: The 2025 Creator Content Premium

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Why Creator Content is Outperforming Traditional Advertising

The marketing landscape has changed dramatically in recent years, with the rise of the creator economy at the heart of this transformation. New research confirms what many marketers have suspected: content made by creators doesn’t just match the impact of traditional advertising, it actually outperforms it. This is true for both long-term brand equity and short-term sales.

What the Research Tells Us

Several recent studies have compared creator content directly with standard industry advertising. The findings are compelling:

– Superior Performance: Creator content consistently beats traditional adverts on measures such as emotional resonance, memorability, and trustworthiness.
– Emotional Connection: Viewers are much more likely to feel an emotional response to content made by creators. In some cases, up to a third of people reported a genuine emotional reaction, which is invaluable for brands aiming to stay top of mind.
– Real Results: Brands aren’t just seeing warm feelings. Around 70% of brands say their most successful campaigns have involved creators, and most believe that creator-led content delivers a better return on investment than conventional adverts.
– Driving Action: Research shows that 80% of consumers have taken action after engaging with creator content, whether that’s looking up a brand, following them on social media, or making a purchase.

Why Are Creators So Effective?

There are a few key reasons why creators deliver such impressive results:

– Authenticity: People trust real voices more than polished adverts. Creators speak directly to their followers, often sharing personal stories and honest opinions. This authenticity is especially valued by younger audiences, who are increasingly sceptical of anything that feels too scripted.
– Emotional Engagement: Creators are skilled at building genuine connections with their communities. When a creator is enthusiastic about a product, that excitement rubs off on their audience, making a real difference to brand recall.
– Relevance: Creator content is often tailored to the interests and needs of a specific audience, making it far more relevant and effective than generic advertising.

The Power of Short-Form Video

Platforms like TikTok, Instagram Reels, and YouTube Shorts have amplified the impact of creator content. Short-form videos are quick, engaging, and perfectly suited to the way we consume media today. Nearly half of UK social shoppers say they’ve bought something after seeing it featured by a creator.

What Does This Mean for Brands?

The message is clear: if you want to make a real impact, it’s time to invest in creator partnerships. As the digital world becomes more crowded and AI-generated content becomes more common, the human touch offered by creators will only become more valuable.

Brands that embrace this shift and work with creators who genuinely align with their values are set to reap the rewards, both now and in the future.

–  “When creators grab and hold attention in social feeds, it generates an extended emotional reaction that fosters deep connections with the brand, driving brand memory and making it easier and faster for audiences to recall brands when making purchasing decisions.” Ben Jeffries, CEO of Influencer.

In summary, creator content isn’t just a passing trend. It’s the new gold standard for building brands and driving sales in the digital age.

DIGITAL MARKETING: Get An Upgrade

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Get An Upgrade Website SEO Offer

Ready to transform your digital presence? Introducing a state-of-the-art website offer that’s designed to elevate your brand, engage your audience, and drive results.

Six great reasons to refresh your website and digital presence today:

– Instantly boost your credibility and authority with a modern, professional design.

– Enhance user experience and keep visitors engaged with seamless navigation and updated features.

– Improve security and reduce the risk of hacks by upgrading to the latest technology.

– Stay ahead of competitors by integrating the newest tools and functionalities your audience expects.

– Save time and improve customer service with easier site management and automation.

– Expand your reach and connect with a global audience 24/7 – your website never sleeps.

Don’t let an outdated site hold your business back. Ready for a digital upgrade? Let’s chat and unlock your brand’s full potential!

A website is for life, not just for Christmas. Take a look at the projects page for more details about Steve Coulter Creative, the team and our work to update and fine tune your digital marketing.

DIGITAL MARKETING: AI Overviews – Vital Intel

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AI Overviews* Are Redefining SEO: What Every Marketer Needs to Know in 2025

[*The summary you now see at the top of search results.]

AI-generated overviews are fundamentally changing the rules of SEO in 2025. Instead of relying on traditional blue links, search engines now deliver instant, AI-powered summaries at the top of results pages. This shift is having a profound impact on how businesses approach search visibility and content strategy.

AI overviews, which synthesise information from multiple sources, dominate informational queries and are responsible for a dramatic drop in click-through rates, sometimes by as much as 50%. Users increasingly find answers without ever visiting a website, making it harder for brands to drive organic traffic through classic ranking tactics.

To adapt, SEO professionals are focusing less on keyword stuffing and more on creating authoritative, well-structured content that AI models can easily digest and cite. Structured data, clear topical expertise, and unique insights are now essential for being featured in these AI summaries.

Competition is fiercer, as brands and companies must not only rank well but also be selected as a trusted source for AI-generated answers. As a result, SEO metrics are shifting: visibility within AI overviews and brand mentions are now as important as clicks and traffic.

In summary, AI overviews are forcing a strategic pivot in SEO to one that rewards quality, authority, and adaptability over traditional ranking alone.

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I’m available to talk to or message on the subject of AI Generative Engine Optimisation (GEO). This is now the direction of travel for search and the reason I have been studying this for months and adapting website content strategies accordingly. You have a great opportunity to put your brand or business at the spearhead of trust and authority for your industry and gain those vital citations.

DIGITAL MARKETING: The Zero Click Threat

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Generative Search AI: The Game-Changer SME Owners and Marketers Can’t Ignore

Google’s new Generative Search AI overviews are shaking up the search results page (SERP) in ways not seen since featured snippets first appeared. Instead of the familiar list of blue links, users increasingly see AI-generated summaries called AI Overviews, right at the top, directly answering their questions in a conversational, richly formatted manner.

Why does this matter for your business?

AI Overviews are rising fast: by March 2025, over 13% of all searches triggered them, up from just 6% in January. These overviews dominate informational queries, but even navigational searches are seeing more AI summaries. For SMEs, this means your customers may get what they need from the overview, sometimes without ever clicking through to your site (the so-called “zero-click” effect).

What’s changing for marketers and SMEs?

– Visibility is being redefined: AI Overviews often appear above traditional organic listings and even push ads further down, reducing click-through rates for both organic and paid results.

– Trust and authority matter more: Google’s AI draws on content it deems trustworthy and authoritative. Brands with strong reputations and high-quality, relevant content are more likely to be featured.

– Optimisation is evolving: Traditional SEO isn’t enough. Generative Engine Optimisation (GEO) is emerging, focusing on how your brand is mentioned and cited within AI-generated answers, not just how you rank for keywords.

– Content needs to improve: Informational, expert-led and up-to-date content is most likely to be surfaced by AI. This raises the bar for what gets seen and trusted.

What should SMEs do now?

– Audit your content for authority and clarity.

– Build brand mentions and citations across trusted sources.

– Adapt ad strategies to offer unique value that AI summaries can’t replicate.

– Stay agile – this landscape is evolving monthly.

The bottom line: Generative Search AI is rewriting the rules of digital visibility. For SMEs and marketers who adapt quickly, there’s now a real opportunity to stand out as trusted voices in your field.

Contact me today to get ahead of your competition and be the trusted source of information in your industry.

More about Generative Engine Optimisation

DIGITAL MARKETING: AI Search Is Here Don’t Get Left Behind

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Is your content strategy ready for the generative AI revolution?

Fed up with throwing money at content that’s getting lost in the search abyss? You’re not alone. The rules of the game have changed, and yesterday’s SEO tactics simply won’t cut it anymore.Introducing my Generative Engine Optimisation (GEO) service, because ranking well with AI search engines requires a completely different approach.

While your competitors are still obsessing over keywords, I’m helping forward-thinking brands like yours create content that actually performs in the age of AI search.

What makes our GEO approach different?

* I don’t just guess what works – I’ve reversed engineered how the major generative engines actually process and prioritise content
* I craft nuanced, context-rich content that generative engines love to reference
* You’ll get content that serves both human readers AND satisfies the complex needs of AI systems.

The future of search is already here. Don’t get left behind call or message today.

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Steve Coulter has a 35+ year sales and marketing career both pre & post Internet. A serial innovator and early adopter of technology and new media. In a world of recombinant business ideas and disruption, increasingly involved in digital transformation and the cutting edge of search. I enjoy partnering with companies who scan the horizon and wish to stay ahead of the competition. 

DIGITAL MARKETING: The Generative Engine Optimisation Virtuous Circle

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The Virtuous Circle of GEO Content: Aligning with Google’s EEAT and YMYL Standards

Introduction

The digital landscape has evolved dramatically in recent years, with search engines and generative AI tools becoming increasingly sophisticated in how they interpret and prioritise content. While Search Engine Optimisation (SEO) remains vital, forward-thinking organisations are now embracing Generative Engine Optimisation (GEO) creating content that performs well not just in traditional search, but also as a foundation for AI-generated responses. When properly executed, this creates a virtuous circle that simultaneously satisfies the vital Experience, Expertise, Authoritativeness and Trustworthiness (EEAT) and Your Money or Your Life (YMYL) which are Google’s requirements to rank.

Understanding GEO and Its Relationship with EEAT / YMYL

Generative Engine Optimisation refers to the practice of structuring content in ways that make it ideal for AI systems to comprehend, extract information from, and reference. Unlike traditional SEO, which focuses primarily on keyword placement and technical optimisation, GEO prioritises clear information architecture, factual accuracy, comprehensive coverage, and proper attribution – qualities that perfectly align with Google’s EEAT standards.

The Virtuous Circle in Action

When businesses create content that excels in both SEO and GEO, a positive feedback loop emerges:

  1. Content Creation with EEAT at the Core: Producing content that demonstrates genuine expertise and provides valuable experiences for users.
  2. Enhanced Discovery: This high-quality content ranks well in traditional search results while also being favoured by generative engines for their responses.
  3. Amplified Reach: When generative engines cite your content, it drives additional visibility and traffic.
  4. Trust Building: Citations by trusted AI systems implicitly endorse your content’s reliability, enhancing your domain authority.
  5. Improved Rankings: The additional signals of quality and authority lead to better search rankings.
  6. More Data for Refinement: Increased visibility provides more user interaction data to further refine content.

Key Principles for GEO-Optimised Content

1. Structured Information

Content should be logically organised with clear headings, concise paragraphs, and well-defined sections. This structure makes it easier for both human readers and AI systems to extract and understand key information.

2. Factual Precision

Generative engines prioritise content that provides accurate, verifiable information. Citing credible sources, including relevant statistics, and maintaining factual rigour not only improves GEO performance but directly supports the Expertise and Trustworthiness components of EEAT.

3. Comprehensive Coverage

Content that thoroughly addresses a topic from multiple angles provides AI systems with a robust information base. This completeness signals expertise to both search algorithms and generative engines.

4. Clear Attribution

Properly attributing information, quotes, and research findings enhances trustworthiness. Generative engines are increasingly designed to value and reference content that itself follows good citation practices.

5. Regular Updates

Maintaining content currency demonstrates ongoing expertise and commitment to accuracy. Both search algorithms and generative engines favour recently updated content when recommending authoritative sources.

Balancing Human and Machine Audiences

The most successful GEO strategy recognises that content must serve dual masters providing genuine value to human readers while being optimally structured for machine interpretation. This balance is achieved by:

  • Writing in natural language that flows logically
  • Avoiding unnecessary jargon while maintaining industry-appropriate terminology
  • Including rich contextual information that enhances human understanding
  • Implementing structured data markup to aid machine comprehension
  • Focusing on answering genuine questions rather than simply targeting keywords

Measuring GEO Success

Traditional SEO metrics remain relevant, but GEO success requires additional measurement considerations:

  • Citation Tracking: Monitoring when generative engines reference your content in their outputs
  • Featured Snippets: Assessing selection for these prominent search features (which often feed into generative responses)
  • User Engagement: Analysing how users interact with content after finding it through AI-assisted search
  • Authority Growth: Tracking improvements in domain authority and topical authority metrics

Conclusion

As AI systems become more deeply integrated into how people discover and consume information, optimising for generative engines represents not just a tactical advantage but a strategic necessity. The virtuous circle created by GEO-optimised content that aligns with Google’s EEAT standards delivers sustained benefits; higher visibility, increased authority, and greater trust among both human users and the AI systems that increasingly mediate their online experiences.

By focusing on creating genuinely valuable content that serves real user needs whilst maintaining technical excellence, businesses can position themselves advantageously in both traditional search results and generative AI responses. This comprehensive approach to content strategy represents the future of digital visibility, one where quality, authority and trustworthiness are rewarded across all discovery channels.

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Steve Coulter has a 35+ year sales and marketing career both pre & post Internet. A serial innovator and early adopter of technology and new media. In a world of recombinant business ideas and disruption, increasingly involved in digital transformation and the cutting edge of search. I enjoy partnering with companies who scan the horizon and wish to stay ahead of the competition.