Category: AI SEO Guides

I get asked some version of this question on nearly every discovery call I run now. A marketing director will say something like “we’ve got SEO covered, do we actually need this GEO thing as well, or is it just the same work with a new name.” It’s a fair question, and I’d rather give you an honest, detailed answer than a sales pitch dressed up as one.

I run Essheo, a search marketing agency working across the UK and US, and before that I spent years building acquisition systems in some of the toughest sectors going, competing against price comparison giants with marketing budgets most businesses could never match. 

So I’ve watched search evolve from the inside for a long time, and what I can tell you plainly is that SEO and GEO are related, but they are not the same discipline. Confusing the two, or assuming one replaces the other, is exactly how businesses end up with gaps in their visibility that a competitor quietly slips into.

What Actually Is the Difference Between SEO and GEO?

The simplest way I explain it on calls is this. SEO optimises your website to rank inside a list of links on a traditional search results page. GEO optimises your content and brand presence to be cited, quoted or recommended inside the answer an AI system actually writes, whether that’s ChatGPT, Gemini, Claude, Perplexity or Google’s own AI Overviews. One is about earning a position. The other is about earning a mention.

That distinction sounds subtle until you look at what each discipline actually measures. SEO success is judged on rankings, organic sessions, click-through rate and conversions from that traffic. GEO success is judged on citation frequency, share of answer, brand mentions inside AI conversations, and whether your business gets represented accurately when someone asks an AI system a relevant question. 

You can rank first on Google for a term and still never get mentioned when someone asks ChatGPT the exact same question. I’ve seen that happen to clients before we started working with them.

How Do the Ranking Signals Actually Differ?

Traditional SEO leans heavily on things like backlink volume, keyword targeting, site speed, technical crawlability and on-page optimisation. GEO cares about a different mix. Structured, clearly written content, direct quotability, credible sourcing, consistent brand mentions across trusted third-party platforms, and how well an AI model can extract a clean, accurate answer from your page. 

Backlinks still help in GEO, but they behave more like credibility references than the core ranking currency they’ve always been in classic SEO.

I think the clearest way to put it is that ranking factors help a page get seen inside a list of search results, while citation factors help a brand get reused inside a generated answer. Those are genuinely different jobs, even though good foundational content quality tends to support both at once.

Does One of Them Drive More Clicks Than the Other?

Traditional SEO still drives the clear majority of website discovery traffic. Current estimates put traditional search at roughly 40 to 60% of overall discovery traffic, with AI platforms currently accounting for under 5%. 

That gap matters, and I always tell prospective clients this honestly rather than overselling GEO’s current reach. GEO drives what’s often called zero-click brand authority and AI-referred traffic, meaning the value frequently comes from being recommended without a click ever happening, rather than from direct sessions landing on your site.

That doesn’t make GEO less important. It makes it a different kind of important. If a user asks an AI assistant to compare boiler brands, or find the best air source heat pump installer in their area, and your business never gets mentioned in that answer, you’ve lost the enquiry before your website ever had a chance to earn the click. 

I’d argue that’s a more dangerous form of invisibility than sitting on page two of Google, because at least page two still gets seen by someone scrolling.

Is GEO Actually Replacing SEO?

No, and I say this to every client who asks, because I think agencies overselling GEO as a total replacement for SEO are doing their clients a genuine disservice. Google’s own AI features still surface links inside AI Overviews and AI Mode, and Google itself continues to recommend that site owners review fundamental SEO best practices as the foundation for AI visibility. 

SEO remains the gateway that makes GEO possible in the first place.

Why Does SEO Still Come First in the Process?

Think of it this way. SEO controls your discoverability infrastructure, meaning whether your site gets crawled, rendered, indexed and understood at all. GEO then targets whether an AI system, synthesising an answer from multiple sources it has already found and understood, chooses to select and cite yours specifically. 

If your technical SEO foundations are weak, an AI system may never properly crawl or understand your content in the first place, which means there’s nothing for GEO to build on top of.

I’d compare it to building a house. SEO is the foundation and structure. GEO is how well the house gets described and recommended once people can actually see it properly. You genuinely can’t skip straight to the second part.

What Happens If a Business Only Focuses on One?

I’ve seen both mistakes play out with prospective clients before they came to us. A business with strong traditional SEO but zero GEO strategy tends to keep its Google rankings for a while, but slowly becomes invisible in the exact AI-driven conversations where its customers are increasingly starting their research, especially for comparison and recommendation-style queries. 

A business chasing GEO with no SEO foundation, on the other hand, often struggles to get indexed properly at all, because the crawling, structure and technical fundamentals that get a page found and understood haven’t been built.

Search Engine Land put it well when they described GEO as what happens when search becomes multi-platform and multi-modal rather than confined to one channel. It isn’t a rival discipline to SEO. It’s what SEO has to expand into as discovery genuinely fragments across more surfaces.

Do You Actually Need Both SEO and GEO?

Yes, and I’d be doing you a disservice if I said otherwise just to make a sales point. Every credible piece of research I’ve reviewed on this lands in the same place. GEO extends SEO to a new surface. It doesn’t replace the underlying infrastructure SEO has always provided.

How Do SEO and GEO Actually Work Together in Practice?

In our own work at Essheo, we don’t treat these as two separate service lines fighting for budget. We treat them as one connected system. Strong technical SEO, clean site architecture, proper schema markup and genuinely useful, well-structured content give AI systems the clearest possible signal about who you are and what you offer. 

That same foundation then gets extended through GEO-specific work: building citation-worthy content with real statistics and credible sourcing, establishing presence on the third-party platforms AI models actually trust like Reddit, YouTube and industry publications, and keeping content fresh enough that it keeps earning citations rather than losing them over time.

This is exactly why we describe what we do as search everywhere optimisation rather than just SEO or just GEO. Google as a sole channel isn’t sustainable any more, and treating AI visibility as a bolt-on afterthought isn’t sustainable either. Both need building properly, together, from the same strategic foundation.

What Should a Business Prioritise First?

I’d never tell a business with genuinely weak technical SEO to skip straight to chasing AI citations. Get your crawlability, site structure, page speed and core content quality right first, because that’s the shared foundation both disciplines depend on. 

From there, I’d focus on auditing where you currently stand in AI platforms, since most businesses genuinely don’t know whether ChatGPT, Gemini or Perplexity mention them at all. Then build out citation-worthy content and third-party presence alongside your ongoing SEO work, rather than as a separate project running on its own timeline.

I’d also say this plainly: don’t expect instant results from either discipline done properly. We structure our own client engagements around 12 and 18 month growth strategies because genuine topical authority, the kind that compounds across both traditional rankings and AI citations, takes sustained, consistent work. Quick wins can and should happen in the first few months, but the real defensible advantage builds over time.

Which Approach Is Right for Your Business?

I think the honest answer is that this depends far less on your industry and far more on how your customers actually search. If you’re in a category where people compare options, ask for recommendations, or research before buying, which describes most competitive sectors I’ve worked in, then your customers are almost certainly already asking AI tools some version of those questions, whether or not your business currently shows up in the answer.

At Essheo, every practitioner on our team carries 8 plus years of experience ranking in genuinely hard sectors against household name competitors and billion-pound comparison sites. 

That same experience is exactly what transfers into building GEO strategies that actually work, because the underlying discipline, understanding what earns trust and authority in a specific space, hasn’t changed. What’s changed is the number of platforms that trust signal now needs to reach.

Our clients have generated over £45 million in combined revenue over the last two years through search marketing systems built on that exact principle: proper foundations, extended properly across every channel that matters.

Ready to Find Out Where You Actually Stand?

If you’ve read this far, you’ve probably already sensed that “SEO or GEO” is the wrong question to be asking your team. The right question is whether your current strategy covers both properly, and whether you actually know where your business stands in AI-driven search right now, rather than assuming your Google rankings tell the whole story.

We start every client relationship with honest discovery and analysis, finding out exactly where your ideal customers are searching today, across Google, AI platforms, YouTube and social channels, and where the gaps sit compared with your competitors. 

From there we build a tailored roadmap that covers both the SEO foundations and the GEO strategy on top of them, designed to deliver quick wins early while compounding into genuine long-term authority. You can have us run this hands-off with regular reporting, or work hands-on alongside your team, entirely your choice.

I’d rather have that honest conversation with you now, while there’s still a genuine first-mover advantage to be had in most sectors, than have you find us in a year having watched a competitor take that ground instead. 

Book a strategy call with me, and let’s work out exactly what your business needs, and in what order.

I’ve been building and scaling search-driven acquisition systems for the better part of my career, and I can honestly say I’ve never seen the ground shift under marketing teams as quickly as it has this year. 

2026 isn’t a year where AI search “arrived.” It’s the year it took over the front door of Google itself, rewrote how budgets get allocated, and quietly changed what actually counts as a successful marketing campaign.

I run Essheo, a search marketing agency working across the UK and US, and I spend most of my week looking at exactly this shift on behalf of clients in hard, competitive sectors. What I want to do in this post is give you an honest, current picture of what’s actually changed in 2026, backed by real data rather than speculation, and what I think marketing leaders should be doing about it right now.

What Has Actually Changed in AI Search This Year?

The biggest structural change happened at Google I/O 2026, when Google formally merged AI Overviews and AI Mode into a single connected search experience across desktop and mobile worldwide. 

Before this, AI Overviews were a summary sitting above the normal results. Now they act as the front door into a full conversational AI Mode session, meaning a single search can turn into an extended back and forth that never touches a traditional results page at all.

Gemini 3 became the default model powering AI Overviews globally from late January 2026, and by September 2026, Google’s AI Mode was reportedly running partly on Gemini 3.7 Flash. 

Then, on 19 August 2026, Google began rolling generative UI, meaning custom calculators, visualisations and interactive tools built on demand, out of AI Mode and into AI Overviews, expanding that capability from roughly 1 billion AI Mode users to around 2.5 billion monthly AI Overview users. 

I mention these dates deliberately, because I think a lot of marketing teams are still working off a mental model of AI Overviews from 2024, and that model is now badly out of date.

How Has Google’s AI Overviews Rollout Evolved?

The pace of change inside AI Overviews itself has been relentless. In May 2026, Google rolled out what it called its biggest update since AI Overviews launched, moving inline citations to sit directly next to the specific text they support, adding hover previews showing site names on desktop, and introducing an “Expert Advice” block that pulls first-hand perspectives from forums, social platforms and review sites. 

A “Subscribed” tag now appears when an AI answer cites a publication behind a paywall the user actually pays for.

By September 2026, Google had started dropping the “Show more” button entirely on some queries, letting AI Overviews expand automatically into full AI Mode-style answers without any click at all. 

On 31 August 2026, Google confirmed it was making AI Overviews physically bigger on certain search queries, effectively turning more of the page into an AI-generated response before a user sees a single traditional blue link. I’d argue that’s the clearest signal yet of where Google’s priorities sit for the year ahead.

What Do the New Publisher Controls Mean?

One development I think deserves far more attention than it’s had is Google’s announcement that publishers can now determine whether their websites appear in, and are used by, AI Mode and AI Overviews independently of how they appear in regular Search results. 

This is a meaningful shift because it separates traditional ranking visibility from AI visibility for the first time at a platform level, which confirms something I’ve been telling clients for a while now. Ranking well on Google and being cited well by Google’s own AI are becoming two separate disciplines that need two separate strategies, even within the same search engine.

How Is This Reshaping Marketing Budgets and Strategy?

The commercial side of this shift is just as significant as the product side, and it’s forcing some uncomfortable conversations in a lot of marketing departments right now.

How Much Are CMOs Actually Spending on AI?

According to Gartner’s 2026 CMO Spend Survey, marketing leaders now allocate an average of 15.3% of their marketing budgets to AI initiatives. Yet only 30% of marketing organisations report having mature or fully developed readiness to actually scale those capabilities. 

That gap between spend and competence is one I see constantly when I talk to businesses who’ve bought AI tools without the strategic framework to use them properly.

What’s more telling is where that money is coming from. Gartner pegs overall marketing budgets at just 7.8% of company revenue in 2026, only a tenth of a point up on 2025, and roughly 18% below the average allocation four years earlier. 

That means most CMOs aren’t getting a fresh budget for AI. They’re funding it by reallocating spend away from something else, and Chief Marketer’s reporting on the same survey found martech’s overall share of budget has actually dropped to a five year low of 19.4%, down from 26.6% in 2021. 

I think this is exactly why 56% of CMOs say they lack the budget to deliver their 2026 strategy at all, and 54% report insufficient resources generally.

Is Paid Advertising Also Shifting Toward AI?

Very much so, and faster than most people expect. Industry forecasts suggest AI could influence or control up to 75% of digital ad spend by the 2027 financial year, with brands largely shifting existing budgets into AI-driven channels rather than adding new money on top. 

I’ve watched this play out first hand. Businesses I speak with are increasingly asking not “should we run paid ads,” but “which platforms and AI surfaces should our paid budget actually be supporting,” which is exactly why we treat paid media as a supporting channel at Essheo rather than the main event. The organic and AI visibility work has to come first, because that’s what compounds.

How Are Consumers Actually Using AI in Their Buying Journey?

McKinsey’s most recent consumer sentiment research found that 44% of consumers who use AI search now say it’s their most preferred source of information, ahead of traditional search engines at 31%, retailer and brand sites at 9%, and review sites at just 6%. 

Among consumers planning to use AI for holiday shopping in 2026, 62% said they use it to compare brands, models, prices and reviews, 55% use it to learn more about a category, and nearly half use it purely for product discovery and inspiration.

This is precisely why McKinsey’s own researchers are now telling consumer businesses to focus on optimising product listings for generative engine optimisation to ensure their products actually appear in AI search results. 

Semrush’s data, cited in that same research, found that affiliate blogs now make up the single largest share of AI-generated search citations at 50%, equal to the combined share from user-generated content, academic research, brand sites, and news media put together. 

That statistic alone should change how any business thinks about digital PR and third-party content partnerships in 2026.

What Should Marketing Teams Actually Do Differently Now?

I get asked this on almost every discovery call I run, and my honest answer is that it’s less about abandoning what’s worked and more about adding a genuinely new layer of discipline on top of it.

Does Google’s Own Policy Enforcement Affect AI Content Strategy?

Yes, and this is a change I think a lot of businesses have missed. On 15 May 2026, Google confirmed that its spam policies now formally apply to manipulative attempts to influence its generative AI features, explicitly including AI Overviews and AI Mode, not just traditional organic rankings. 

This came shortly before Google’s June 2026 spam update, and Google has run three separate spam updates across 2026 so far, in March, June and August.

What this tells me is that Google is actively policing manipulation of its AI answers the same way it’s policed manipulation of organic rankings for two decades. Any agency or in-house team trying to game AI citations through low-quality, artificially stuffed content is now taking on genuine risk, not just wasted effort. 

The tactics that work sustainably are the same ones that have always worked: genuine expertise, credible sourcing, and real usefulness to the reader, which is exactly the standard we hold every piece of client content to at Essheo.

Should Businesses Still Prioritise Google Above Other Platforms?

I’d say no, and the data increasingly backs that instinct. With AI Overviews now reaching an estimated 2.5 billion monthly users following the generative UI rollout, Google clearly still matters enormously. 

But Google’s own “Expert Advice” blocks are now actively pulling content from forums, social platforms and review sites directly into its AI answers, which means visibility on Reddit, YouTube, LinkedIn and industry publications increasingly feeds directly into Google’s own AI results, not just standalone AI tools like ChatGPT or Perplexity.

This is the exact thinking behind what we call search everywhere optimisation at Essheo. Rather than treating Google, ChatGPT, YouTube and social platforms as separate boxes to tick, we treat them as one interconnected discovery ecosystem, because as of 2026, that’s genuinely how Google’s own systems are treating them too.

How Should Teams Measure Success in This New Landscape?

This is where I think most marketing departments are still behind. With inline citations, Expert Advice blocks, generative UI tools and conversational hand-offs into AI Mode all now live inside a single Google search, a simple click-through rate no longer tells you whether your content is actually influencing the buyer’s decision. 

I’d strongly recommend building a dedicated referrer segment for AI Overviews, AI Mode, ChatGPT, Perplexity and Copilot traffic specifically, so you can see how these visitors behave differently from standard organic traffic, because in my experience they very often do.

Given that Gartner found only 30% of marketing organisations feel genuinely ready to scale their AI capabilities,I think the businesses who invest properly in measurement now, rather than assuming their existing GA4 setup already captures this, are the ones who’ll be able to prove ROI to their board while their competitors are still guessing.

Ready to Get Ahead of the Shift Rather Than React to It?

If there’s one thing I’d want a marketing director or business owner reading this to take away, it’s that 2026 has been the year AI search stopped being an emerging trend and became the primary way Google itself serves answers to hundreds of millions of people a day. That’s not a future risk to plan around eventually. It’s happening in your search results right now, whether or not your current strategy accounts for it.

At Essheo, we built our approach specifically for this moment. We rank businesses across Google, LLMs, YouTube and social platforms, not just one of them, and every practitioner on our team brings 8 plus years of experience winning in genuinely difficult, competitive sectors against household name competitors. 

Our clients have generated over £45 million in combined revenue over the last two years through the search marketing systems we’ve designed and implemented, and we built that track record on real operational experience, having scaled acquisition for a business doing hundreds of installations a month, not in theory borrowed from a textbook.

We’ll start with honest discovery and analysis of exactly where your business currently stands across Google, AI platforms and social search, then build you a tailored roadmap designed to get quick wins in the first few months while building the long-term authority that compounds over 12 to 18 months. Whether you want us running things hands-off with regular reporting, or working hands-on alongside your existing team, that choice sits entirely with you.

I’d genuinely rather have an honest conversation with you now about where your business stands in this new AI-driven search landscape than have you come to us next year having lost ground you didn’t need to lose. 

Book a strategy call with me, and let’s talk about what these changes actually mean for your business, and what we can do about it together.

I’ve spent the last decade building lead generation systems in some of the most competitive, hardest to rank sectors in the UK. Boilers, solar, renewables. Sectors where you’re going head to head with price comparison giants who have marketing budgets the size of a small country’s GDP. 

So when I tell you that search itself has fundamentally changed shape in the last eighteen months, I’m not repeating something I read in a trend report. I’m telling you what I’m seeing happen to client traffic, client leads, and client revenue in real time.

Generative Engine Optimisation, or GEO, is the practice of making sure your business gets mentioned, cited, and recommended inside the answers that AI tools like ChatGPT, Gemini, Perplexity and Google’s AI Overviews generate for your customers. It’s not a rebrand of SEO. 

It’s a genuinely distinct discipline with its own rules, its own winners, and its own blind spots for anyone still thinking purely in terms of blue links and rankings.

I founded Essheo because I watched this shift happen from the inside while running acquisition for a business doing hundreds of installations a month, and I could see that the companies who adapt early are the ones who’ll own their categories in the AI answers for years to come. 

This post is my honest, unvarnished explanation of what GEO actually is, why it matters commercially, and what I’d genuinely recommend if you’re the person in your business responsible for making this call.

What Exactly Is Generative Engine Optimisation?

GEO is the set of strategies, content structures, and technical foundations that increase the likelihood of your brand being cited, quoted, or recommended when someone asks an AI system a question related to your products or services. Instead of optimising purely to rank on a search results page, you’re optimising to be the source an AI model pulls from when it writes its answer.

The distinction matters more than it sounds. Traditional SEO earns you a position on page one. GEO earns you a place inside the actual response, whether or not the user ever clicks through to a results page at all. Research from Peec AI analysing 500,000 business-intent prompts found that AI Overviews now appear on 86.7% of business-intent Google searches as of April 2026, up from 56.9% just twelve months earlier. That’s not a gradual shift. That’s a near-doubling in a single year.

How Is GEO Different From Traditional SEO?

I get asked this constantly by marketing directors who assume GEO is just SEO with an AI label slapped on it. It isn’t, and the data backs that up quite clearly.

One of the most striking findings, from a ConvertMate benchmark study, is that roughly 83% of AI Overview citations come from pages that don’t even rank in Google’s organic top 10. I’ve seen this play out with my own eyes on client accounts. 

A page ranking eighth or twelfth on Google can still be the exact page ChatGPT or an AI Overview chooses to cite, because the ranking signals these engines use aren’t identical to classic Google ranking factors.

Ahrefs’ analysis of 75,000 brands found that web brand mentions correlate with AI visibility at 0.664, compared with just 0.218 for backlinks, roughly a three to one gap. That single data point should change how any marketing team allocates budget. Backlinks built your Google rankings for two decades. 

They’re far less predictive of whether an AI model decides to talk about you.

Why Are Businesses Suddenly Paying Attention to This?

Because the volume moving through AI platforms has become impossible to ignore. ChatGPT reached 900 million weekly active users in February 2026, up from 800 million in October 2025 and roughly double the 400 million recorded a year earlier. 

Google’s own AI Overviews had reached 2 billion monthly users across more than 200 countries by mid 2025, with AI Mode passing 100 million monthly active users on top of that.

I’d also point to Gartner’s own warning from as far back as February 2024, when it predicted traditional search engine volume would fall 25% by 2026 as users shifted toward AI chatbots and assistants. That forecast is exactly why I built Essheo around a multi-platform view of discovery rather than a Google-only mindset. If the volume is migrating, your visibility strategy has to migrate with it.

Why Does GEO Matter Commercially, Not Just Technically?

This is the part I care about most, because I’ve built and exited businesses on the back of acquisition systems, not theory. GEO isn’t an interesting technical curiosity. It has a direct, measurable line to revenue, and the numbers are stronger than most marketing teams realise.

Do AI Referrals Actually Convert Better Than Normal Traffic?

Yes, and the gap is bigger than most stakeholders expect. Seer Interactive measured ChatGPT referral conversion rates at around 15.9%, against a Google organic baseline of roughly 1.76%, with Perplexity converting at around 10.5%. Semrush’s analysis of high-value topics found AI-referred visitors converting approximately 4.4 times higher than standard organic traffic.

Adobe Analytics data from Q1 2026 showed AI-referred traffic to US retail sites converting 42% better than non-AI traffic, a complete reversal from March 2025 when it had converted 38% worse. 

During the 2025 holiday trading period, AI-referred retail traffic grew 693% year on year, with visitors spending 45% more time on site and 33% less likely to bounce. I don’t quote statistics like this to impress anyone. I quote them because when a client asks me to justify budget, this is the honest commercial case, not a sales pitch.

What Happens If a Business Ignores GEO?

The clearest risk is invisibility at the exact moment a customer is ready to buy. Bain & Company found that 60% of searches now end without a single click to any website, and that when Google shows an AI summary, users click through to a traditional result in just 8% of visits compared with 15% when no summary appears. 

Pew Research Center’s analysis of nearly 69,000 real searches found that 26% of sessions ended entirely after an AI summary appeared, versus 16% when it didn’t.

Put simply, if you’re not the source being cited inside that answer, you’re not just losing a ranking position. You’re losing the entire interaction, because there’s a growing chance the user never leaves the AI platform at all. 

I’ve had conversations with business owners who tell me their Google rankings look fine, without realising their category’s buying journey has quietly moved somewhere their rankings don’t reach.

How Big Is the GEO Market Actually Getting?

Genuinely large, and growing fast enough that I’d call it one of the more significant shifts I’ve tracked in my career. Dimension Market Research values the global GEO market at roughly £860 million (around $1.09 billion) in 2026, forecast to reach approximately £13.6 billion (about $17.1 billion) by 2034, a 40.6% compound annual growth rate. 

Separate research from Valuates puts a comparable GEO services market at $886 million in 2024 growing to $7.318 billion by 2031 at a 34% CAGR.

Enterprise adoption is following the same curve. Industry surveys suggest 98% of enterprise CMOs are actively investing in AI search and GEO strategies in 2026, with 94% planning to increase that spend over the next year. 

And yet, in the same research, only around 14% of marketers actually track whether their brand is being cited by ChatGPT, Claude, Gemini or Perplexity at all. That gap between spend and measurement is exactly where I think most agencies, and most in-house teams, are falling short.

Which Tactics Actually Move the Needle in GEO?

This is where I get genuinely animated, because there’s now peer-reviewed research behind what works, rather than guesswork. A study led by Princeton, Georgia Tech and IIT Delhi researchers, published at the ACM KDD 2024 conference, tested optimisation methods across a 10,000-query benchmark and found they could lift visibility inside generative engine responses by up to 40%.

What Content Changes Actually Increase AI Citations?

The same study broke down which specific tactics worked best. Adding relevant statistics lifted visibility by up to 41%, adding direct quotations added around 28 to 30%, and citing credible sources added a further 30%. 

Keyword stuffing, by contrast, performed worse than doing nothing at all. That last point alone should put to bed any assumption that GEO is just SEO with extra AI keywords crammed in.

There’s also a genuinely levelling effect built into this research. Fifth-ranked websites gained 115.1% more visibility from adding source citations, while first-ranked sites actually lost visibility (down 30.3%) from the same tactic. 

In practice, this means a smaller or mid-sized business doing GEO properly can outperform a much larger competitor in AI answers, even while trailing them on traditional rankings. That’s precisely the kind of opportunity I built Essheo to help clients capture, because I’ve seen it happen against household name competitors before.

Does Content Structure and Freshness Really Matter?

Enormously, based on everything I’ve reviewed and tested. A Foundation Marketing study found that 68.7% of ChatGPT-cited pages use a clear H1 to H2 to H3 heading hierarchy, and that comparison-style articles account for 32.5% of all citations. 

SparkToro’s research found that 44.2% of LLM citations are pulled from the first 30% of a page’s content, meaning your strongest, most quotable answer needs to sit near the top, not buried under three paragraphs of preamble.

Freshness compounds this further. ConvertMate’s benchmark found content updated within the last 30 days earned 3.2 times more AI citations than older equivalents, and that 76.4% of ChatGPT’s most-cited pages had been updated within the previous month. 

Pages left stale for three months or more were roughly three times more likely to lose their citations entirely. This is precisely why we treat GEO as an ongoing programme of refreshes and monitoring at Essheo, never a one-off project you tick off and forget.

Where Do AI Engines Actually Source Their Citations?

This surprises almost everyone I talk to. Reddit ranked as the number one or number two most-cited domain across every major AI platform as of March 2026, according to Peec AI’s analysis of 30 million cited sources. 

The wider top ten included YouTube, LinkedIn, Wikipedia, Forbes, G2, Yelp, Facebook, Medium and TechRadar. Muck Rack’s research found that 82 to 84% of all AI citations trace back to earned media rather than owned or paid content.

That tells you something important. GEO isn’t purely a website optimisation exercise. It’s a wider digital presence exercise that spans forums, video, third-party publications and social platforms, which is exactly the “search everywhere” approach we build for clients rather than a narrow, single-channel Google play.

How Should a Business Actually Get Started With GEO?

I always tell prospective clients the same thing on our first call. Don’t panic and don’t try to do everything at once. GEO rewards structured, patient work far more than it rewards frantic experimentation, and I say that as someone who’s scaled acquisition channels from zero to seven figures a month.

What Does a Sensible First Step Look Like?

Start by finding out where you currently stand. Very few businesses have actually checked whether ChatGPT, Gemini or Perplexity mention them at all, given that only around 14% of marketers currently track AI citation performance. 

A proper audit tells you your starting position, which competitors are already being cited in your category, and which content gaps are costing you visibility.

From there, I’d focus on three things in order: making your existing best content genuinely citation-worthy with real statistics, sources, and clear structure, building a presence on the third-party platforms these engines actually trust like Reddit, YouTube and industry publications, and putting a refresh cycle in place so your strongest pages don’t quietly go stale. 

None of this replaces solid traditional SEO. It sits alongside it, because Google itself is one of the platforms increasingly generating AI answers.

How Long Does It Take to See Results?

Honestly, longer than most people want to hear, and I’d distrust anyone who tells you otherwise. The brands compounding real advantage here are the ones treating this as a twelve to eighteen month build, not a quick campaign. Similarweb found the share of US websites earning any AI citation presence grew from just 1.6% in June 2025 to 6.8% by May 2026, which shows real movement is possible within a year, but it isn’t instant. 

This is exactly why we structure our own client engagements around 12 and 18 month growth strategies rather than short bursts of activity, because topical authority in AI systems is built the same way it’s built in traditional search: consistently, and over time.

Ready to See Where Your Business Stands in AI Search?

I’ll be straightforward with you. Most businesses I speak with have no idea whether ChatGPT, Gemini or Perplexity even mention them when a potential customer asks a relevant question, and that blind spot is only going to get more expensive the longer it goes unaddressed. 

AI Overviews already touch 86.7% of business-intent searches, AI-referred visitors convert dramatically better than standard traffic, and the market chasing this opportunity is growing at over 40% a year. The businesses moving now are the ones who’ll be the default answer in their category by the time everyone else catches up.

At Essheo, we’re not a Google-only agency bolting an “AI” service onto an old playbook. We rank businesses across Google, LLMs, YouTube and social platforms, with every practitioner on our team carrying 8-plus years of experience competing against genuinely hard opposition, the kind of competitors who have million-pound marketing budgets and still get outranked by our clients. 

Our clients have generated over £45 million in combined revenue across the last two years through the search marketing systems we’ve designed and implemented, and we built our approach on real operational results, not theory.

We’ll start with a proper discovery and analysis of where your business currently sits, build you a tailored roadmap, and aim to get you visible fast while building the long-term authority that compounds for years. Whether you want us hands-off with regular reporting, or hands-on working alongside your team, that’s entirely your call.

If you’re a marketing manager, director or business owner weighing up whether AI search visibility deserves a place in next year’s budget, I’d genuinely rather have that conversation with you now than have you come to us in twelve months having lost ground to a competitor who didn’t wait. 

Book a strategy call with me, and let’s talk honestly about where your business stands in AI search today, and what it would take to change that.