Skip to main content

    Generative Engine Optimisation (GEO): What It Means for You

    Written by

    Jakub Cambor

    Written from AfM's working notes and the public sources listed at the end. Examples marked illustrative are hypothetical, not client results.

    This version

    Updated 27 September 2026

    6 sources cited.

    First published 19 February 2026

    Strategy

    AfM guide

    Operating model, implementation sequence, and decision quality.

    First, the term

    If you searched for "generative system optimisation", the idea you are most likely looking for has an established name: generative engine optimisation, or GEO. It was named in a 2023 research paper from Princeton and collaborators, which defined generative engines as search systems that use language models to gather information and write an answer, and GEO as the practice of improving how visible a source is in those answers.

    In plain terms: when someone asks Google's AI Mode, an AI Overview or a chat assistant with web search a question, the answer is written by a model that draws on web pages and often cites some of them. GEO is about making your pages more likely to be used, cited and represented accurately in those answers.

    You will also see "generative system optimisation" used loosely to mean improving an AI content production system (better prompts, context and checks). That is a real task, covered in our article on custom AI marketing solutions, but it is not what most readers searching this phrase want. This article is about GEO.

    How GEO relates to SEO

    SEO and GEO compared

    CriterionSearch engine optimisationGenerative engine optimisation
    What you are trying to earnA ranking position and a clickInclusion, citation and accurate representation in a written answer
    Where the reader sees youA list of linksInside or beside an AI written answer; sometimes with no click
    What decides eligibility on GoogleIndexing, relevance, qualityThe same: Google says AI features use its normal Search eligibility and there are no extra technical requirements
    What helps beyond the basicsRelevance, links, experience signalsClear direct answers, specific facts with sources, quotable statements and evidence of expertise
    How you measure itRankings, clicks, impressionsSearch Console's generative AI performance report for Google's AI features, plus manual checks of third-party assistants
    MaturityDecades of practice and documentationYoung; research and platform behaviour are still changing

    The most important row is the third. Google's own documentation on AI features says the same SEO best practices apply, that a page must be indexed and eligible to show with a snippet to appear as a supporting link, and that no special optimisation is required. Google has also published a dedicated guide on optimising for its generative AI features. So GEO is not a replacement for SEO. It is SEO with more attention on whether your content is easy for a model to understand, trust and quote.

    What the research found

    The original GEO paper built a benchmark of 10,000 queries and tested nine ways of rewriting source content to see which increased visibility in generated answers. Its headline finding was that some methods improved visibility by up to 40% in their tests. Among the most effective were adding relevant statistics, adding quotations from authoritative sources and citing sources.

    Treat this carefully. It was a research setting with its own generative engine and measures, published in 2023, and commercial AI search systems have changed since. The durable lesson is not the percentage; it is the direction: content that states facts specifically, attributes them and quotes credible sources is easier for a model to use and cite.

    A practical GEO checklist

    For each important page:

    1. • Answer first. State the direct answer to the page's main question in the first two or three sentences.
    2. • Use the question the reader asks as a heading, in their words (your Search Console queries show them).
    3. • Be specific. Replace "we help businesses grow" with what, for whom, and how you know.
    4. • Attribute facts. Name the source of every statistic and link to it. Unsourced figures are harder for any system, or reader, to trust.
    5. • Show expertise. Who wrote or stands behind this, what first hand experience informs it, and when it was updated.
    6. • Structure for extraction. Short sections, lists and tables where the content is genuinely list or table shaped.
    7. • Keep it indexable. Normal technical SEO: crawlable, indexed, eligible for snippets.
    8. • Check how AI answers describe you. Ask the main AI assistants and Google's AI features your customers' questions and record whether you appear and whether what they say is accurate. Fix inaccuracies at the source: your own pages first.

    Before and after

    Illustrative example for a hypothetical boiler installer's service page.

    Before: "We are a trusted, experienced team offering competitive prices on boiler installations across the region. Contact us today for a quote."

    After: "A standard combi boiler replacement in a three bedroom house usually takes one to two days. We install [named brands] and are registered with [named registration body], which you can check on the register. Prices depend on the boiler, flue position and any pipework changes; the table below lists what affects the price and why."

    The second version answers a real question, names checkable facts and explains what drives price. It is more useful to a reader and easier for an AI system to cite. Nothing about it is a trick.

    What to avoid

    Stuffing statistics. The research found statistics helped when relevant. Irrelevant or unsourced numbers damage trust with readers and are no help.

    Writing for machines. Pages written to be scraped rather than read tend to fail both audiences. Google's guidance on AI generated content warns against producing content primarily to manipulate rankings.

    Chasing tricks. Hidden text, prompt instructions aimed at AI crawlers and similar tactics are manipulation, and they are already a research target: one paper is titled as a defence of generative search against "malicious generative engine optimization".

    Ignoring measurement limits. Search Console's generative AI performance report now shows impressions in Google's AI Overviews and AI Mode, but nothing gives a complete picture across other assistants. Combine it with regular manual checks, and judge by enquiries and sales, not by mentions alone.

    Where to go next

    For the wider shift to answers without clicks, read the zero click search strategy. For how this changes SEO work, read AI SEO vs traditional SEO. AfM's AI SEO service applies this as part of managed work, with the founder reviewing what ships.

    FAQ

    Is GEO the same as AEO or LLMO?

    They are overlapping labels. Answer engine optimisation (AEO) and large language model optimisation (LLMO) describe the same goal: being used and cited in AI written answers. GEO is the term from the 2023 research paper.

    Do I need special markup to appear in AI Overviews?

    Google's documentation says there are no additional technical requirements beyond being indexed and eligible to show with a snippet. Structured data still helps Google understand pages generally.

    Can I see how often AI answers cite my site?

    For Google, yes in part: Search Console's generative AI performance report shows impressions in AI Overviews and AI Mode, and Google says it reached all sites on 31 August 2026. For other assistants, some third party tools sample answers. Neither gives a complete picture, so combine them with manual checks.

    Will GEO replace SEO?

    Not on current evidence. Google states its AI features rely on the same eligibility and quality foundations as Search. GEO adds emphasis on clarity, specificity and citable evidence on top of SEO.

    Sources

    1. GEO: Generative Engine Optimization, arXiv (Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande). Cited 27 September 2026 from a published summary; the primary page has not been re-read. Definition of generative engines and GEO; GEO-BENCH of 10,000 queries; up to 40% visibility improvement; statistics, quotations and citations among effective methods.
    2. AI features and your website, Google Search Central. Cited 27 September 2026 from a published summary; the primary page has not been re-read. SEO best practices apply to AI features; no additional requirements; pages must be indexed and snippet eligible to appear as supporting links.
    3. Google's guide to optimizing for generative AI features on Google Search, Google Search Central. Cited 27 September 2026 from a published summary; the primary page has not been re-read. Google has published a dedicated guide on optimising for its generative AI search features.
    4. Google Search's guidance about AI-generated content, Google Search Central. Cited 27 September 2026 from a published summary; the primary page has not been re-read. Content produced primarily to manipulate rankings breaches spam policies.
    5. Introducing Search generative AI performance reports in Search Console, Google Search Central Blog. Cited 27 September 2026 from a published summary; the primary page has not been re-read. Search Console reports impressions in AI Overviews and AI Mode; rolled out to all websites as of 31 August 2026.
    6. When Optimization Becomes Manipulation: Defending Generative Search against Malicious Generative Engine Optimization, arXiv. Cited 27 September 2026 from a published summary; the primary page has not been re-read. The paper's title only, which names defending generative search against malicious GEO as its subject (content not read; the article relies on nothing beyond the title).

    How does your site read to an AI answer?

    The free written breakdown reviews your public pages and search presence, plus any figures you choose to share, and sets out what we would fix first. No logins needed.

    Request the breakdown

    Related Articles