Traditional SEO helps you rank. Generative Engine Optimisation helps you get recommended.

This is the full GEO framework I use with clients, plus a worked example of what it returns for a typical SME.

Generative Engine Optimisation (GEO) is the practice of structuring your website, content and entity signals so that AI systems like ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews cite and recommend your business inside their generated answers. Where SEO competes for a position on a results page, GEO competes for a mention inside an answer.

Those are different games, and they need different work.

Why buyers stopped starting with Google

For twenty years the pattern was fixed. Someone had a problem, they typed it into Google, they picked from ten blue links.

That pattern is breaking. Buyers increasingly put the question straight to an AI assistant before they visit a single website.

They ask things like:

• What is the best CRM for a growing professional services business?
• Which accounting software integrates properly with Xero?
• Who are the alternatives to [competitor] for a team of 50?

The businesses named in those answers get considered. The businesses that are not named never enter the shortlist, no matter how well they rank.

I have written about this shift in more depth in From Search Engine to Answer Engine, and about the revenue that moves before a click ever happens in The Unseen Funnel.

SEO, AEO and GEO: what actually differs

These three get used interchangeably. They are not the same thing.

Discipline	What it competes for	Primary measure
SEO	A position on a search results page	Rankings and organic clicks
AEO	Being the answer to a specific question	Citations and answer inclusion
GEO	Being recommended across generative platforms	Share of recommendation, referral quality

You need all three working together. GEO sits on top of solid SEO, not instead of it. If you want the full breakdown, read What Is GEO? The Complete Guide to Generative Engine Optimisation, or see how the layers stack in the Search Visibility Framework.

The problem is not visibility. It is recommendation.

The most common pattern I see in audits is a business that ranks perfectly well and still never gets mentioned by AI.

They have the rankings. They do not have the recommendation.

Their competitors get named in AI answers despite weaker traditional performance, and nobody in the business can work out why.

The reason is that language models are not running a ranking algorithm. They retrieve candidate sources, identify which entities are relevant, weigh how confidently each source supports a claim, then generate an answer. Clarity, structure and specificity carry far more weight in that process than they do in classic SEO.

If you want to see whether this is happening to you, the free AI Citation Checker will show you where you currently appear. How Do I Know If AI Is Recommending My Competitors? walks through the diagnosis.

The three-part GEO framework

Everything I do in a GEO engagement falls into one of three areas.

1. Technical accessibility. Can AI crawlers reach and parse your content.
2. Entity clarity. Do AI systems understand what you are and who you serve.
3. Retrieval-ready content. Is your content worth quoting.

Get those three right, in that order, and citations follow.

Step 1: Make the site accessible to AI crawlers

A surprising number of websites are effectively invisible to AI, not because the content is poor but because the crawler never sees it.

Server-side rendering. Google has become good at rendering JavaScript-heavy pages. AI crawlers largely have not. If your key content only appears after client-side rendering, it may simply be missing from the version an AI system reads. Moving critical content into the initial HTML response is often the single highest-impact fix available.

Bot access. Check robots.txt, Cloudflare settings, WAF rules, CDN configuration and bot management policies. AI user agents such as GPTBot, ClaudeBot, PerplexityBot and Google-Extended are frequently blocked by default, sometimes by a security setting nobody remembers enabling.

Structured data. Schema markup across your product, solution, comparison and FAQ pages tells AI systems what you do, who you serve, how your features relate to one another, and what you charge. The clearer those relationships, the more accurately you get cited. You can build the markup with the free Schema Markup Generator.

An llms.txt file. This is the AI equivalent of robots.txt, a plain-text file telling language model crawlers what to index and trust. Most businesses still do not have one, which makes it a cheap competitive edge. Use the llms.txt Generator, and read Make Your Website More Visible in AI Search Results With llms.txt for the full method.

Step 2: Get your entity right

Modern retrieval systems think in entities, not keywords. They want to know what your business is, not which phrases you have repeated.

That means a consistent, unambiguous definition of your organisation, repeated across your site, your schema, your profiles and your third-party mentions. Inconsistency here is why AI tools describe businesses inaccurately, or confuse them with a similarly named competitor.

How to Write an Entity Definition covers exactly how to build one.

Step 3: Write content that is worth quoting

The goal is simple. Become the source AI wants to quote.

Publish original information. Language models consistently favour content containing statistics, benchmarks, original research and expert commentary. Vague claims get skipped.

Compare these two sentences:

Many businesses struggle with adoption.

67% of businesses reported implementation delays in the first three months.

The second one is quotable. The first one is filler. AI systems reward information density.

Answer the fan-out, not the keyword. When someone asks an AI a question, the system silently expands it into a cluster of related sub-questions before answering. A prospect asking about software recommendations triggers questions about pricing, integrations, team size, implementation time and alternatives.

Map those clusters and answer each one directly, in its own clearly headed section. This is the mechanic behind query fan-out, and it is where most content strategies quietly fail.

Build comparison content. This is currently the highest-yield GEO asset available to most B2B businesses. When a buyer asks an AI for alternatives to a competitor, the system needs reliable comparison information from somewhere. Publish it and you become the source.

The critical rule: stay objective. Sales copy dressed up as a comparison gets ignored. Balanced, evidence-led comparison content gets cited. The aim is to be the most useful page on the subject, not the most flattering.

What this returns for an SME: a worked example

Take a UK B2B services business turning over around £1.5m, selling contracts averaging £9,000 in first-year value.

The engagement over six months:

• Search Visibility Audit, three-layer diagnostic plus 90-day roadmap: £1,499
• Monthly support at £499, six months: £2,994
• Total investment: £4,493

Metric	Month 0	Month 6
AI citations across ChatGPT, Perplexity and AI Overviews	9 / month	47 / month
AI referral sessions	40 / month	310 / month
Enquiries attributed to AI referral	2 / month	15 / month
Total AI-attributed enquiries over six months	-	51
Qualified opportunities	-	14
Closed deals	-	3
Attributable revenue	-	£27,000
Return on investment	-	6.0x

Three closed deals at £9,000 is £27,000 against a £4,493 investment. That is a 6x return in year one, before any renewal value.

You do not need enterprise budgets for this to work. You need the fundamentals done properly, early, while your competitors are still arguing about whether AI search matters.

Why AI referral traffic converts harder than organic

The most useful finding in this whole area is not about volume. It is about intent.

AI referral traffic tends to convert at a materially higher rate than organic search traffic. The pattern looks something like this:

Channel	Typical enquiry conversion rate
Organic search	2.9%
Paid search	3.4%
Social	1.7%
AI referral	8.6%

Illustrative of the pattern rather than a universal benchmark. Check your own figures in GA4 before planning around them.

The reason is straightforward. By the time someone clicks through from ChatGPT or Perplexity, they have usually defined the problem, researched options, compared alternatives and received a recommendation. The discovery stage happened inside the AI, not on your site.

You are not catching them at the top of the funnel. You are catching them near the end of it, already pre-sold by a source they trust.

That also means the traffic you cannot see matters. Plenty of AI-influenced buyers arrive by typing your name into Google directly, which shows up as brand search rather than AI referral. Use the Zero Click Calculator to estimate how much of your search demand is already being answered before anyone reaches you.

Five lessons that hold up across every engagement

1. Accessibility comes before everything

If AI crawlers cannot reach or parse your content, nothing else you do matters. Fix this first.

2. Entities beat keywords

AI systems understand brands, products and concepts as entities with relationships, not as collections of phrases. Define yourself clearly and consistently.

3. Original information wins

Research, statistics and proprietary insight get cited far more often than well-written generic content. If you have data nobody else has, publish it.

4. Comparison content is the fastest route in

Buyers ask AI for alternatives constantly. Objective comparison pages become the source material for those answers.

5. Recommendation is the new ranking

Being cited by an AI system shapes a buying decision before Google is ever opened. That is the shift, in one sentence.

Where to start this week

If you do nothing else, do these five things in order.

1. Check whether AI crawlers are blocked in robots.txt, your CDN or your firewall.
2. Run your key pages through the AI Citation Checker to see where you currently appear.
3. Publish an llms.txt file at your domain root.
4. Add organisation and FAQ schema to your core pages using the Schema Markup Generator.
5. Work through the AEO Readiness Checklist and fix whatever it flags.

All of those are free, and all of them are on the Resources and Tools page.

Frequently asked questions

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation is the practice of structuring your website, content and entity signals so that AI platforms such as ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews cite and recommend your business inside their generated answers. Unlike SEO, which competes for a position on a results page, GEO competes for a mention inside the answer itself.

What is the difference between SEO, AEO and GEO?

SEO is about ranking in traditional search results. AEO, or Answer Engine Optimisation, is about being the specific answer an AI tool gives to a question. GEO is the wider practice of building recommendation across generative platforms, including the discovery channels such as Reddit, YouTube and LinkedIn that AI systems draw signals from. All three work together.

Is GEO replacing SEO?

No. GEO complements SEO and depends on it. AI systems still rely on crawlable, well-structured websites to find and trust information, so a weak technical foundation limits GEO performance directly. Treat GEO as a layer added on top of solid SEO, not a replacement for it.

How long does GEO take to show results?

Technical and structural fixes such as schema markup, crawler access and llms.txt typically show effects within four to eight weeks. Citation growth driven by content and authority usually builds over three to six months. The work compounds, so early starters hold a widening advantage.

How do I know if AI platforms are sending traffic to my website?

Check your referral sources in GA4 for domains including chatgpt.com, perplexity.ai, gemini.google.com and claude.ai. Be aware this undercounts the real effect, because many AI-influenced buyers search your brand name in Google instead of clicking through, which registers as direct or brand organic traffic.

Can a small business compete with larger brands in AI search?

Yes, and often more easily than in traditional search. AI systems weight relevance, clarity and answer quality heavily, and they are far less influenced by domain authority than Google's ranking systems are. A small business with well-structured, specific, trustworthy content regularly outperforms much larger competitors that have not started.

What type of content performs best for GEO?

Content containing original research, statistics, expert commentary, objective comparisons, clear FAQs and direct answers to buyer questions. Specificity is the deciding factor. A concrete statistic gets quoted where a general claim gets skipped.

How much does GEO cost for an SME?

At Sticky Frog, a free Search Visibility Snapshot costs nothing, a full written strategy and 90-day roadmap starts at £499, a three-layer Search Visibility Audit starts at £699, and ongoing monthly support starts at £499 per month. Prices are published upfront rather than quoted on request.

Do I need to change my website's technical setup for GEO?

Usually yes, at least in part. The most common blockers are client-side rendering that hides content from AI crawlers, firewall or CDN rules that block AI user agents, and missing or incomplete structured data. These are typically quick fixes with disproportionate impact.

How do I measure GEO performance?

Track four things: how often you are cited across the major AI platforms for your priority questions, AI referral sessions in GA4, the conversion rate of that referral traffic compared with organic, and changes in branded search volume. Citation frequency is the leading indicator, revenue is the lagging one.

Keep reading

• What Is GEO? The Complete Guide to Generative Engine Optimisation
• The Unseen Funnel: How AI Mentions Drive Revenue Without Clicks
• Google AI Mode and the Citation Economy
• How Perplexity Decides What to Cite
• Google AI Overviews: What They Are and How to Appear in Them
• Why Your B2B SEO Is Generating Traffic But Not Pipeline
• The Search Visibility Framework