What Is GEO? The Complete Guide to Generative Engine Optimisation

Here is a thing I keep telling people: SEO gets your site found on Google. GEO gets it cited by AI. They sound similar. They are not.

And if you have been putting off thinking about GEO because it feels like next year problem, I would gently suggest it became this year problem a while back – you just have not had the numbers in front of you yet.

This is the guide I started writing for myself when I first went deep on this. I will explain what GEO actually is, why the timing matters, how it differs from traditional SEO, and what you should actually do about it if you want to be ahead of the curve rather than chasing it.

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What Is GEO?

GEO stands for Generative Engine Optimisation. It is the practice of making your website readable, trustworthy, and citable by AI language models – the ones sitting underneath tools like ChatGPT, Perplexity, Google Gemini, and Claude.

Think about what happens when someone asks ChatGPT “what is the best project management tool for remote teams?” ChatGPT does not return ten blue links and let the user decide. It synthesises an answer, drawing from a pool of sources it has some basis for trusting. GEO is the discipline of getting into that pool.

There is no page 1 or page 2 here. No rank position to chase. Your website either gets cited in the answer – or it does not exist to that user. That is a genuinely different game from anything we have played before.

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Why GEO Matters Right Now

I want to be clear about something: this is not a trend to keep an eye on. It is a shift that has already happened for a meaningful segment of your audience.

ChatGPT passed 100 million weekly active users a while back and has kept climbing. Perplexity has become the default search engine for a whole cohort of tech-forward buyers. Google AI Overviews now sit at the top of results for hundreds of millions of queries every single day. And all of these tools are doing something fundamentally different from traditional search – they are building answers, not indexing links.

When an AI builds an answer, it picks a handful of sources it deems worth trusting. If your site is not in that set, you are not getting the click. You are not even in the picture.

I ran my own site through SearchScore – a GEO audit tool that checks 56 AI visibility signals – and found that I was accidentally blocking two major AI crawlers in my robots.txt. I had not touched that file in years. Once I fixed it, I opened up crawl access I had been cutting off without realising it. That one change took about three minutes.

Most websites have problems exactly like that sitting quietly in the background. They just do not know yet.

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GEO vs SEO: What Is Different?

SEO and GEO overlap but they are not the same discipline. Getting good at one does not automatically make you good at the other. Understanding where they diverge is what actually lets you act on it.

What they share

• Technical foundations: fast load times, crawlable pages, no broken links
• Quality content: well-written, accurate, genuinely useful
• Authority signals: backlinks, brand mentions, domain reputation

Where GEO diverges

Structured data carries more weight. AI engines use schema markup to understand what your content is about, who wrote it, and whether it is credible. Organisation schema, Article schema, Person schema – for GEO these are not optional extras. They are the vocabulary AI systems read.

Author credentials actually matter. Google E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) is directly baked into how AI engines decide what to cite. A post with no author bio, no date, and no external references will lose out to one with clear attribution – even if the content is broadly similar.

You have to explicitly allow AI bots. Traditional SEO assumes search crawlers will come. AI engines have separate bots – GPTBot, ClaudeBot, PerplexityBot, Google-Extended – and many sites block them in robots.txt without ever intending to. It is a GEO-specific failure mode that did not exist in the old world.

llms.txt is becoming the new sitemap. A growing convention: a plain-text file at your domain root that tells AI engines what your site covers and what content is most important. Think of it as a sitemap written for a language model rather than a crawler.

Topical depth beats keyword volume. AI engines are genuinely better than traditional search at evaluating whether a site actually knows its subject. Thin content that ranks well for keywords can still score poorly for GEO if the depth is not there.

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The Seven Dimensions of GEO

GEO is not a single fix. It is a framework across seven areas, each of which contributes to whether AI systems trust and cite your content. I have been using SearchScore to audit sites across all seven – here is what each one covers.

1. AI Citability (25% of your GEO score)

This is the most important dimension by some distance. Can AI engines actually access, understand, and cite your content? Key signals: does llms.txt exist, are AI bots allowed in robots.txt, is the site on HTTPS, and are there citation signals built into the content itself.

2. Brand Authority (15%)

Does your brand exist in the knowledge graph in any meaningful way? AI engines cross-reference Wikidata, social profiles, and NAP consistency (name, address, phone) to verify you are a real, known entity. Wikipedia presence is an unusually strong signal here.

3. Content and E-E-A-T (20%)

Experience, Expertise, Authoritativeness, Trustworthiness. Author bios, bylines, publication dates, external citations, and contact information all feed into this. It is Google framework, yes, but AI engines have absorbed it deeply.

4. Technical Foundations (10%)

Sitemap, canonical tags, meta descriptions, image alt text, breadcrumbs, security headers. The same basics SEO has always demanded, with a few GEO-specific additions like breadcrumb schema and accessibility signals.

5. Structured Data (10%)

JSON-LD schema markup. Organisation, Article, Person, FAQ, Product – each schema type gives AI engines specific, extractable information about your content. Missing schema is one of the most common reasons sites fail to appear in AI answers.

6. Platform Optimisation (10%)

OpenGraph tags, Twitter Cards, RSS feeds, video content. These affect how your content is distributed across platforms that AI engines also index and draw from.

7. Topical Authority (10%)

Does your site have genuine depth? A content hub, rich heading structure, long-form content, internal linking – these signal to AI engines that you are a real authority on your subject, not a thin content farm.

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What a Good GEO Score Looks Like

I have been auditing sites across a range of industries using SearchScore. A few things keep coming up in the data:

• The average website scores around 39/100
• Most sites fail first on AI Citability – usually because they are blocking bots or missing llms.txt
• Brand Authority is the hardest dimension to improve quickly (you cannot force Wikipedia overnight)
• Structured Data and Technical fixes tend to be the highest-impact quick wins by a fair margin
• Sites that score 71+ are genuinely well-positioned. Getting to “AI-Ready” (86+) requires sustained work across all seven dimensions – it is not a weekend job

If you have not run your GEO score yet, do it at SearchScore.io – it is free, takes about 30 seconds, and shows you exactly where you stand across all seven dimensions.

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The GEO Quick Wins: What to Fix First

If you are coming at this fresh, here is the order I would prioritise based on impact versus effort:

Day 1 fixes (under an hour each)

1. Check your robots.txt. Make sure you are not blocking GPTBot, ClaudeBot, PerplexityBot, or Google-Extended. Most sites have never considered this.
2. Create an llms.txt file. A plain text file at yoursite.com/llms.txt with your site name, a short description, and your key pages listed. Takes 20 minutes if you know what you are doing.
3. Add Organisation schema. JSON-LD on your homepage with your brand name, URL, logo, description, and social profile links. One block of code, meaningfully better visibility.

Week 1 fixes

1. Add author bios and bylines to all content pages. Who wrote this? What makes them worth listening to? Link to an author profile page.
2. Add publication dates using <time datetime="YYYY-MM-DD"> elements and datePublished in your JSON-LD.
3. Add external citations. Link out to authoritative sources within your content. AI engines treat outbound links to credible sources as a trust signal.

Month 1 priorities

1. Build or improve your content hub. A well-structured blog or resources section with deep, interlinked articles signals topical authority to AI engines.
2. Create a Wikidata entity for your brand. Probably the single most impactful brand authority action – but it takes time and verification, so start early.
3. Add FAQ schema to pages that answer questions. Direct question-and-answer format is exactly how AI engines construct responses. Make it easy for them.

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GEO for Founders: The Strategic View

The frame I keep coming back to: AI search is a trust game, not a volume game.

Traditional SEO rewards publishing at volume, building links, and matching keywords. GEO rewards being a genuinely credible, well-structured, clearly attributed source on your topic. In some ways that is harder to game – but it is also more aligned with what good content looks like anyway, which is something.

For founders, the strategic play is fairly straightforward:

1. Fix the technical blockers first – bot access, schema, llms.txt. These are the quick wins that unlock visibility immediately without requiring new content.
2. Build genuine depth on your core subjects. AI engines reward real expertise, and you can feel when content has it versus when it does not.
3. Establish your brand entity properly – schema, Wikidata, consistent social presence across platforms.
4. Monitor your score over time. GEO is not a one-time fix. AI search requirements evolve, and so should your approach to them.

The founders who do this now – while most of their competitors are still in the “I will get to that” phase – will have a real advantage in 12 to 18 months when AI search becomes the primary discovery channel for B2B and SaaS products.

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How to Measure Your GEO Performance

Honestly, GEO measurement is still maturing. There is no GEO equivalent of Google Search Console yet. Anyone who tells you there is, is overselling something.

What I actually use:

• SearchScore – full GEO audit across 56 signals, tracks your score over time with weekly monitoring
• Manual brand checks – regularly ask ChatGPT, Perplexity, and Gemini about your brand and core topics. Are you showing up? What are they actually saying about you?
• GA4 referral traffic – Perplexity sends referral traffic you can track. ChatGPT browsing does too, though the attribution is imperfect at the edges.
• Citation monitoring – SearchScore paid tier runs 20 queries through ChatGPT automatically and tracks how often your brand comes up in the answers

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The Bottom Line

GEO is not something you can park until later. It is not a niche concern for technical SEOs who want something new to worry about. It is the foundation of how your website gets discovered by a growing majority of users who have simply moved on from traditional search.

The good news, if you need it: most websites have a low GEO score right now. The bar is low, the opportunity is real, and the fixes are – in many cases – not that hard. If you get the basics right (bot access, schema, llms.txt, E-E-A-T signals), you will be ahead of the majority of your competitors before they have even started thinking about this.

Start by checking your score. Free at SearchScore.io. Full picture across all seven dimensions in 30 seconds.

Then work through the fixes in order. I have covered the full playbook in the cluster articles below.

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More in This Series

• How to Appear in ChatGPT Answers
• What Is llms.txt and Why Every Website Needs One
• Schema Markup for AI Search
• E-E-A-T for AI Search
• GEO vs SEO: What Is the Difference?

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Ronnie Huss is a serial founder who has launched multiple SaaS and AI products. He writes about building with AI, growth, and the intersection of technology and business at ronniehuss.co.uk.

What Is GEO? The Complete Guide to Generative Engine Optimisation