What is GEO and How Does It Differ from SEO?

The way people search has changed faster than most marketing playbooks can keep up with. A growing share of users now ask ChatGPT, Perplexity, Claude, or Google’s AI Overviews for answers instead of scrolling through ten blue links in traditional search. That shift has created a new discipline called GEO, and it sits next to SEO rather than replacing it.

This post explains what GEO is, where it overlaps with SEO, and what the differences mean for your content strategy.

What is GEO?

GEO stands for Generative Engine Optimisation. It’s the practice of structuring web content so AI tools like ChatGPT, Perplexity, and Google AI Overviews can find it, understand it, and quote it inside their generated answers.

When someone asks an AI tool a question, the response pulls from a mix of trained data, live web sources, and citations. GEO is about earning a place in that response. The goal isn’t a top-three ranking on a results page. It’s being the source the AI quotes, summarises, or links to.

You’ll also hear this work called answer engine optimisation, or AEO. The terms overlap heavily, and most of the practical moves are the same in both directions.

 GEO vs SEO: Difference

SEO and GEO share the same long-term goal, which is reaching the right audience through search. Below the surface, the mechanics look very different.

Where they play

SEO targets traditional search engine results pages, or SERPs. Google, Bing, DuckDuckGo. GEO targets AI tools like ChatGPT, Perplexity, Claude, Gemini, and the AI summary boxes inside Google itself.

What success looks like

SEO success is a click. Someone types a query, sees your page, clicks through, and lands on the site. GEO success is a citation. The AI mentions your brand, paraphrases your content, or links to it inside its AI-generated response. The user might never visit your site at all, but they walk away knowing your name.

What the algorithms reward

Search engines reward keyword relevance, page authority, backlinks, structured data, and technical health. AI tools reward something different. They look for clear definitions, factual accuracy, and authoritative sources that match user intent. They favour content that reads as a clean answer to a clear question.

How you measure it

SEO uses ranking positions, organic search results performance, and click-through rates from Google Search Console. GEO uses citation tracking, brand mention monitoring inside AI tools, and visibility audits across the major AI engines.

Why GEO Matters Now

AI search is no longer fringe. Recent industry studies show that more than 60% of users under 35 now use AI tools for at least some of their search behaviour. Google’s own AI Overviews appear above traditional search results for a growing share of queries. AI now intercepts the traffic that used to come from organic search results, rewrites the answer, and serves it back to users without the click.

That doesn’t mean SEO is dead. It means the search has split into two layers. Brands that ignore the AI layer keep losing visibility quietly, one query at a time.

How to Optimise for GEO

Solid GEO work starts with strong SEO foundations, then adds a few extra moves on top.

Write clear, quotable answers

AI tools pull short, self-contained answers from web pages. Structure your content so each section answers one question directly. The first paragraph under each heading should be the cleanest version of that answer.

Use real data and named sources

AI engines favour content that backs up claims with specifics. Numbers, dates, named studies,
and direct quotes earn citations. Vague marketing prose does not.

Add an llms.txt file

Some AI crawlers now read an llms.txt file, similar to a robots.txt, that tells them what content is available and how to use it. The standard is still early-stage, but adding one signals that your site is built for AI search.

Build entity authority

AI tools understand the world through entities: named people, brands, places, and concepts. The more your brand shows up across credible third-party sources, the more confident the AI becomes that you exist and matter. PR mentions, podcast appearances, guest articles, and
citations on authority sites all strengthen entity authority.

Use schema markup and structured data

Article, FAQPage, and HowTo schema markup give AI engines a clean structural read of what your content is and what it answers. Combined with broader structured data signals across the site, schema is no longer optional for content that wants to feature in AI-generated responses.

Should GEO Replace SEO?

No. SEO still drives the bulk of measurable traffic from traditional search for most businesses, and the technical foundations that SEO requires (site speed, crawlability, structured data, content quality) are also the foundations of good GEO. The smart move is to run both as one programme. Optimise for traditional search rankings and AI citations from the same content piece.

The brands winning right now treat GEO as the next chapter of SEO, not its replacement.

What This Means for Your Content Strategy

Strong content already does most of the GEO work without trying. Well-structured pages that answer real questions in plain language sit halfway to AI visibility before any GEO-specific work begins. The remaining gap is mostly about format and signal: clearer answers, sharper structure, named sources, and a few technical additions like schema markup and llms.txt.

The teams that will struggle are those still pumping out thin, keyword-stuffed copy. AI tools spot empty content faster than humans do, and they don’t cite it.

Need a starting point? Audit your top ten organic pages for two things. Can a reader get a clean answer to the page’s main question within the first 100 words? Are your facts backed by named, credible sources? Pages that fail those two tests are the ones losing AI visibility right now.

That’s the brief. The marketing teams that adapt early will own the AI search shelf for years. The ones that wait will spend the rest of the decade trying to catch up.