What Is GEO (Generative Engine Optimization)? How to Get Visibility in AI Search

What is GEO (Generative Engine Optimization), and how is it different from SEO?

GEO is the optimisation work that aims to get your content and brand into generative AI answers as a source. SEO aims to get a page into the top positions of the results list; GEO aims to get the information on that page carried into the AI-written answer accurately and with a link.

The abbreviation may suggest geography, but the “geo” here has nothing to do with location: it comes from the word generative. In classic search, the user chooses between links. In generative search, the engine reads several sources, writes a single answer and mentions a limited number of sources in it. There is no “position one” here; you are either in the answer or not.

That is why GEO optimises not just the page itself but also the citability of its passages. For an engine to carry one of your sentences into its answer, that sentence has to make sense on its own, make a clear claim and be verifiable. We cover the fundamentals of SEO in our what is SEO guide; this article deals with the layer built on top of it.

Where do AI answers show up in search?

AI answers show up in two main places: in Google Search’s AI Overviews (AI Bakışı in the Turkish interface) and AI Mode (AI Modu) features, and in chat assistants such as ChatGPT, Gemini, Perplexity and Microsoft Copilot that can search the web and cite sources. In both, the answer can be based on the web pages the engine finds at that moment.

For searches in Turkish this is no longer a future scenario: Google announced that it began gradually rolling out AI Mode and AI Overviews in Türkiye, in Turkish, on February 18, 2026. According to Google, AI Mode is designed for asking detailed questions in one go that would previously have taken several separate searches, which means your target question list should be built from long, conditional questions rather than short keywords. Whether these answer engines count as search engines is a question we tackle separately in our article on search engines.

According to Google’s developer documentation, there are no extra requirements, no special optimisation, no AI-specific text file and no special schema needed to appear in AI Overviews or AI Mode; the technical prerequisite is that the page is indexed and eligible to be shown in Search with a snippet. We explain how these features choose sources, their effect on clicks and the options for limiting them in our AI Overviews and AI Mode guide.

How do AI engines choose which pages to cite?

AI engines mostly choose their sources from the pages they find through web searches run while answering, and favour the ones that answer the question clearly, verifiably and consistently. The engines do not publish their selection criteria in detail; the framework below is drawn from official documentation and publicly available research.

Google explains that AI Overviews and AI Mode may use a technique called query fan-out when building an answer, which splits the question into subtopics and runs multiple related searches. This means it matters to be visible not only for the main query but also for the side questions around the topic.

The study that introduced the concept of GEO is “GEO: Generative Engine Optimization” by Aggarwal et al., published at KDD 2024. The researchers report that, in their own test environment, citing sources, adding relevant quotations and adding statistics were among the best-performing methods, with a relative visibility increase of up to 40%. The paper also stresses that keyword stuffing brought no clear benefit and that the effect of the methods varied by subject domain.

• Access and indexing. In Google, the page must be indexed and eligible for snippets; in other engines, their search crawlers must be able to reach the site. According to Google, blocking the Google-Extended product token in robots.txt does not affect inclusion or ranking in Search. We explain which bots to allow in our AI crawlers and robots.txt guide.
• A clear answer. Is the question answered in two or three sentences at the start of the section? Long introductions push the answer away from where the engine is looking for it.
• Verifiable claims. Sentences that contain a number, date, measurement or source lend themselves to quotation better than general statements; the findings of the paper above point the same way.
• Structured data. Schemas such as Article, FAQPage and Organization describe the content on the page and the brand in a machine-readable way. Google says no special markup is needed to appear in AI features; schema is not a ticket but a layer of clarity, and it must match the visible text exactly. We go into the details in our structured data guide.
• Entity clarity. When who the brand is, what it does and where it is based appear consistently on the site, in the schema and in external sources, the engine can recognise the brand as a distinct entity.

Because every engine has its own search infrastructure and source selection, AI Overviews, ChatGPT and Perplexity can show different sources for the same question; even the same engine can give different answers to the same question over time. That is why visibility should be judged not from a single screenshot but across several engines, with repeated checks. Our AI visibility test also compares, in a single report, whether a brand is mentioned in ChatGPT, Gemini and Claude answers.

None of this runs against classic SEO. GEO doesn’t replace SEO; it builds on it.

How do you make content citable in AI answers?

Content becomes citable when every section opens with a short, verifiable answer to one question that makes sense on its own, when claims are backed by sources and when the text can be read directly in the page’s HTML. Because the engine carries the relevant passages into its answer rather than the whole page, each passage needs to stay accurate and understandable even when it is lifted out of context.

• Put the answer first. The first one or two sentences of each section should answer the question in the heading directly; detail, examples and exceptions come after.
• Write self-contained passages. Instead of “this method” or “as mentioned above”, repeat the name of the subject; a quoted sentence will be read on its own.
• Be specific. Replace phrases like “quite fast” or “many” with measures, conditions and units.
• Name your sources. Make it clear who every numerical or dated claim comes from and when; prefer the primary source.
• Define and distinguish. The “What is X, and how is it different from Y?” pattern and comparison tables give engines ready material for comparison questions.
• Stay consistent and up to date. Information such as prices, addresses and service scope should be the same on every page of the site, and the date of the last update should be visible.
• Keep the text accessible. Critical information shouldn’t live only inside an image or in a script that loads later; Google also recommends providing important content as text.

These rules are not just for engines; they also serve readers who want to find the answer where they expect it. We cover the rest of the writing process, and how to show E-E-A-T signals in your content, in our guide to writing SEO-friendly content.

What does GEO work involve in practice?

GEO work consists of identifying target questions, restructuring pages so they give citable answers to those questions, opening up technical access, defining the brand as a consistent entity and monitoring engine answers regularly. This is the order we follow when preparing a site for generative engines.

1. Question inventory. The natural-language questions your audience types into the engines are mapped out: not “SEO prices” but “how much should I budget for SEO each month for a small e-commerce site”.
2. Baseline record. The same questions are asked in ChatGPT, Gemini, Perplexity and Google’s AI features; whether the brand is mentioned, which competitors are cited and how accurate the information is all get recorded.
3. Short answer blocks. A two- or three-sentence block that answers the question on its own is added at the top of every important page; subheadings map to questions.
4. Evidence layer. Claims are backed with numbers, dates, measurements or sources; generalisations that cannot be verified are removed.
5. Schema and entity. Article, FAQPage and Organization markup is built with the same content as the text on the page; official profiles are linked in the Organization markup.
6. Access and technical foundation. AI crawler access, CDN and firewall rules, indexability and page experience are checked.
7. Off-site signals. How the brand is mentioned in industry publications, comparisons and communities is reviewed; corrections are requested for wrong or outdated information.
8. Monitoring. The same set of questions is asked again at regular intervals; what counts is the trend over time, not any single answer.

Off-site signals carry real weight: when writing an answer about a brand, engines can read not only that brand’s own site but also other sources that talk about it. We cover this side separately in our off-page SEO guide.

Measurement isn’t done through rank tracking. Google reports traffic from AI Overviews and AI Mode in Search Console within the Web search type, not as a separate breakdown; there is more detail in our Google Search Console guide. GA4’s AI Assistant channel, added in May 2026, shows visits from the assistants it recognises, such as ChatGPT, separately. We explain how mention rate is calculated in our article on SEO metrics.

These steps can run in the same monthly plan as classic SEO work, and that is how the GEO items in our SEO packages work too. To see where your brand stands in AI answers today, a free GEO analysis is a good place to start.

Do you have to give up classic SEO for GEO?

No. GEO doesn’t replace classic SEO; it works on top of the technical and content foundation that SEO lays. According to Google, for a page to be a supporting link in AI Overviews or AI Mode, it has to be indexed and eligible to be shown in Search with a snippet.

Many other generative engines also draw on web search when writing their answers. It isn’t realistic to expect a page that is invisible in classic search, can’t be crawled or doesn’t inspire trust to be cited regularly in AI answers.

What changes is the measure of success and the unit of writing: mentions join rankings, and passages join pages. Done right, technical SEO and content are built on solid ground, authority is supported by links earned from relevant publications and by content that mentions the brand, and pages are made citable. We run SEO and GEO in a single plan; when they are handled by separate teams with separate goals, the work on one can undermine the other. We build the strategy side of this shared plan through our GEO-focused SEO consultancy.

The same logic applies to competition: if a query triggers an AI summary, recording which competitors are cited is now part of SEO competitor analysis.

Which GEO practices should you avoid?

Because GEO works on top of classic SEO, Google’s spam policies apply here just the same. The push to appear in AI answers can bring back old shortcuts that fall foul of these policies under new names.

• Text meant only for bots. Serving different content to users and to search engines is defined as cloaking in the spam policies; text hidden from users and added only for AI also falls under the hidden text policy.
• Mass Q&A pages. Producing hundreds of near-identical pages for every possible question can count as scaled content abuse when the aim is to manipulate rankings rather than help users.
• Unmarked paid links. Links placed in exchange for payment should be marked with sponsored or nofollow; unmarked paid links fall under link spam.