What is GEO (generative engine optimisation)?

Generative engine optimisation is the work of getting a brand named and cited in the answers AI assistants write. This page explains what the work covers, what agencies actually do, and how you can measure it.

Sarah RiceEditor21 September 2026Last reviewed7 minRead

Key takeaways

  1. GEO is about appearing in AI answers. The target is a named mention or a linked source inside the generated answer, often on a screen that does not show a conventional list of search results.
  2. AEO and AI SEO describe much the same work. Answer engine optimisation and AI SEO are alternative names used across the market. The practices behind the three labels largely overlap.
  3. Different AI engines behave differently. Of the twenty UK agencies in our study, eleven name ChatGPT in their published method, nine name Google AI Overviews, nine Perplexity, eight Gemini, four Claude and three Copilot.
  4. There is no settled measurement standard. Seven of the twenty agencies name the instrument they use to measure AI visibility, with nine different instruments named between them.
  5. SEO still provides much of the foundation. AI assistants retrieve current information from search indexes, so a page that cannot be crawled and indexed is unlikely to become a cited source.

The short answer

Generative engine optimisation shapes what a site publishes so that AI systems can quote, cite or recommend a brand when someone asks a question.

Put a request for advice, options or a summary to an assistant and it produces an answer rather than a page of links. GEO is the work of getting your brand and its information into that answer.

The service goes by several names. Answer engine optimisation, or AEO, is the most common alternative. AI SEO is another. The labels differ, but the underlying work overlaps considerably.

AEO does highlight a change in how people search. Someone can ask a question in a full sentence, add their own circumstances and expect the system to resolve the question for them. That makes it useful to publish facts, figures and expert information in a form that can be extracted without losing the surrounding meaning.

There is a large overlap with search engine optimisation. Technical accessibility, site structure, useful content, authority and independent references still matter. The difference comes in what you are trying to earn.

SEO generally aims to earn a position on a results page and the traffic that follows. GEO aims to earn a mention or citation inside a generated answer, where the reader may never visit a traditional results page.

What the work involves

Five areas appear repeatedly across the published methods we reviewed.

Entity and structured data

Make the important facts about the business clear to machines: what the company is, what it sells, where it operates and how it relates to other businesses and people. Schema markup is one of the main ways this information is structured.

Answer-shaped content

Clear headings, direct answers and useful figures in tables make information easier to extract. A self-contained passage gives a model more to work with than a paragraph whose meaning depends on several paragraphs around it.

Third-party citations

This covers the directories, review sites and publications an AI system may use to corroborate information about a brand. Independent references matter because they give a model information beyond what the brand says about itself.

Crawler access

Search crawlers and AI retrieval systems both need to reach and read a page. Blocked paths, content that depends heavily on scripts and slow responses can prevent information from making it into the retrieval process.

Original data

Original research, statistics and first-hand expertise give an AI system information it cannot find elsewhere. A figure with a clear source behind it is particularly useful when an assistant needs something specific to quote and attribute.

How it is measured

GEO measurement asks whether a brand appears in AI answers, and where.

Three measures appear most often: how frequently a brand is mentioned across a set of prompts, how often one of its pages is cited as a source, and what share of the mentions in a category it receives compared with competitors.

There is a catch. The thing being measured changes from one run to another.

A search results page for a particular query and location gives you a relatively stable object to measure. An AI answer is generated again each time. The wording of the prompt, the context supplied by the user and the information available to the model can all affect the result.

That means a useful GEO measurement is a sample across repeated runs. One prompt, run once, tells you very little.

The engines differ too, so deciding which ones to track is part of the measurement approach. Of the twenty agencies we reviewed, eleven name ChatGPT in their published method, nine name Google AI Overviews, nine Perplexity, eight Gemini, four Claude and three Copilot.

The measurement tools vary just as much. Seven agencies name the instrument they use, with nine different instruments named between them.

Reporting varies too. Six of the twenty agencies explain what they measure, what they use to measure it and how often they report it. Four state none of those things publicly.

If you are buying GEO, agree the prompt set, measurement tool and reporting cadence before the work starts.

A results page and an answer, side by side

The same question can produce two very different experiences in a search engine and an AI assistant.

What changesSearch results pageAI answer
How the reader arrivesA typed query, usually a few words long.A question or task written in full, often with the reader’s own context attached.
What they seeA ranked list of links with snippets, ads and other result features.A written answer, sometimes with numbered citations beside or beneath it.
What they do nextClick through to a site and form a judgement there.Read the answer where it sits, then follow a citation if they want to check something.
What you can measureImpressions, position, click-through rate and sessions.Mention rate across a prompt set, citation frequency, share of voice and referral traffic.
What a visit is worthPotentially high volume across a wide range of intent.Lower volume, with the reader potentially further into the decision because the answer has already helped them narrow their options.

How this has moved

  1. 2023 TO EARLY 2024

    Answers without sources

    Assistants answered largely from information already in their models. Brands could appear or be absent, with limited opportunity to influence what happened in a useful timeframe.

  2. FROM AUGUST 2024

    AI answers reach ordinary search

    Google brought AI Overviews to the UK, putting written answers above traditional links on some everyday queries and using live web pages as sources. The opportunity became more directly addressable by website owners and agencies.

FAQ

FAQs

Does GEO replace SEO?

No. AI systems still rely on search indexes and web content to retrieve current information, so indexation, technical accessibility and authority remain important. GEO adds work around how that information is structured, understood and surfaced in AI answers.

How long does GEO take to show results?

There is no single timeframe. Live retrieval can change relatively quickly, while a model’s broader understanding of a brand can take longer to change. The useful starting point is a documented baseline so that changes can be measured rather than guessed.

Can an agency guarantee a mention in ChatGPT or AI Overviews?

A mention cannot be guaranteed. AI answers are generated in response to individual prompts and can change between runs, so an agency should be able to explain how it measures visibility rather than promise a fixed position.

Which engines matter most?

That depends on where your customers search. ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude and Copilot all appear in agencies’ published methods, but they are not tracked consistently across the market.

How do you measure the return?

Start by separating visibility from business outcomes. Track mentions and citations against a defined prompt set, then connect that data with referral traffic, leads or revenue where the journey can be measured.

Sarah Rice

About the author

Sarah Rice

Editor

Sarah Rice is a PR specialist & digital marketing expert who has spent more than 30 years working with SEO & GEO agencies, PR agencies and brands across a huge range of sectors. She is Director of Rice PR and Director & Editor of The HR World. Earlier in her career, she was Head of Public Affairs and Press Manager at RAC and Head of Campaigns at JBP, and has also worked with DC Thomas and a number of charities.

Director, Bristol Women in Business CharterMasters, Creative Writing

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