Generative engine optimization (GEO): how to get cited by AI engines

Generative Engine Optimization (GEO) is about making a brand and its content visible and cited in the answers of generative engines: ChatGPT, Perplexity, Gemini, Copilot, Le Chat, and Google's AI Overviews and AI Mode. It complements SEO: the goal is no longer only to rank, but to be chosen as a source.

This guide is for B2B marketing and SEO leads who want to get cited by these engines, and prove it. It sets out the mechanism, the levers, the method and the measurement, then points you to the page that covers each topic in depth.

Why GEO matters now

Visibility is won inside the answer

Search no longer always ends on a list of links. AI engines and assistants aggregate, summarise and rephrase information across several sources: users get an answer without visiting a website, and attention shifts towards the sources cited inside the generated block. Your challenge becomes twofold: be understood, then be cited.

Three signals show the scale of the shift:

• Google: more than 50% of Google searches display an AI Overview (Squid Impact, 2025).
• Traffic: traffic from AI search grew by +527% in one year (Semrush, 2025).
• Usage: 39% of French people use AI engines for their searches (IPSOS, 2026).

These signals point to the same decision: treat presence in AI answers as a channel in its own right, with its own objectives and measurement. The details and sources are gathered in our GEO statistics.

AI Overviews and AI Mode, now in France

At the time of writing, AI Overviews (a synthesis displayed above the results) and AI Mode (a conversational answer) have been available in France since summer 2026. Both cite their sources as links. Search Console counts the impressions and clicks they generate in the Performance report, without separating them from classic results: measuring this presence therefore needs its own method, described below.

How a generative engine chooses its sources

A generative engine doesn't match a keyword to a page. It runs a search, often broken down into implicit sub-questions (the principle of RAG), then selects extractable passages: short definitions, lists, tables, direct answers. It then arbitrates between these passages based on the source's authority, its freshness and its consistency with what the web says about the brand.

The answer varies from one model to another and from one session to the next. You are therefore assessed on reusable, attributable fragments, not on a whole page.

Each engine searches and cites in its own way:

The full landscape, ChatGPT in detail and the mechanics of passage selection are covered in our article on the AI search engine.

What these engines really "read"

A generative engine reads pages, but above all it reads what it can extract, verify and attach to an entity: brand, offer, author, date, scope. To be cited, a page must be:

• indexed by search engines;
• accessible to AI crawlers (GPTBot, PerplexityBot, Google-Extended, ClaudeBot…);
• structured with hierarchical headings, lists, tables and direct answers;
• up to date, with a visible date;
• attributable to an author, an entity and sources;
• consistent with what third-party pages, reviews and mentions say.

Structured data helps describe who is speaking, about what and when, but it doesn't guarantee a citation; its main risk remains inconsistency (contradictory dates, missing authors, duplicated entities). The llms.txt file is not an official standard and Google does not apply it: it is covered separately in our llms.txt guide.

The 4 levers of a GEO strategy

A GEO strategy works on four levers, to be pursued together. Each has its reference page in this series:

Topical authority: cover a topic in clusters

Authority is not just one good article. It is built by covering a topic broadly and deeply, with interlinked content that answers families of questions. A cluster structure helps an engine identify you as a coherent source, and it mirrors how assistants break a query into sub-themes. Structure your semantic coverage around:

• definitions: terms, acronyms, scope, criteria;
• comparisons: use cases, benefits, limits, conditions;
• methods: step-by-step guides, checklists, common mistakes;
• evidence: sourced figures, references, experience-backed insights.

Citability: write reusable passages

AI systems don't reuse a whole page: they pull fragments, then recombine them. Write self-contained blocks that still make sense out of context, and lean towards neutrality on comparison queries, where engines tend to keep content that sets out conditions and limitations. Four questions check whether a passage is reusable:

• Does the sentence answer an explicit question directly?
• Does it include a testable fact, criterion or rule?
• Can you cite its source or proof without ambiguity?
• Is terminology consistent, with the same terms for the same concepts?

Freshness: maintain what matters

Generative engines favour recent content on fast-moving topics, and the date becomes a trust signal when the answer requires up-to-date context. The effort lies less in publishing volume than in maintaining reference pages: an owner, a review calendar, up-to-date sources. The cadence depends on the page type:

The GEO method in 4 steps

The method follows a short loop and one principle: action comes before measurement. You first produce citable content, then instrument; waiting for a complete dashboard delays the only thing that feeds the answers, your content. The loop has four steps:

• Presence diagnosis: record, keyword by keyword, whether the brand appears in AI Overviews and AI answers.
• Production by persona: write or rework the pages that answer each target's questions.
• Measurement on a question set: track a fixed, repeated set after publication.
• Iteration: compare each page with itself, before / after, and prioritise the next workstreams.

Who owns what across marketing, SEO, content, product and leadership is decided upfront: the organisation and the roadmap are detailed in our page on rolling out GEO in a business.

Produce by persona rather than by keyword

Prompts are written in natural language and include context: industry, maturity, constraints, budget. If you answer only a keyword, you miss the sub-questions the assistant generates to produce its synthesis. The brief is therefore written by persona: who is asking, in what context, with what level of expertise. In B2B, four intent families come up:

• "How do I do it?": method, steps, mistakes;
• "What's the best choice for my case?": criteria, trade-offs, limits;
• "Is it reliable?": proof, sources, compliance;
• "How do I measure it?": KPIs, instrumentation, interpretation pitfalls.

Create decision-ready content

In a zero-click journey, the AI can answer, but decisions are rarely made without proof. Your content must provide verifiable elements that engines readily reuse and that your reader can use to make the case internally. Each decision question calls for a criterion and a proof:

• "Does it fit our stack?": compatibility and integrations, proven by documentation and implementation examples;
• "Is it reliable?": accuracy and traceability, proven by cited sources, dates and an identifiable author;
• "What ROI should we expect?": assumptions and effort, proven by a calculation method, scenarios and their limitations.

Scale without homogenising

Scaling is essential, but if everything looks the same, the assistant has no reason to prefer you. Standardise the process (briefs, structure, source validation) and stay differentiated in angle, examples and depth. Brand consistency also depends on stable terms and definitions. A useful quality-control routine:

• check sources and dates, with every figure attributable;
• validate extractability: definitions, lists, tables, FAQ;
• check entity consistency: brand, offer, authors, canonical pages.

Iterate on a 30-day cycle

GEO progresses through iteration. Because answers vary, each change is judged on the same question set, repeated, and only one variable changes at a time: structure, proof, structured data or FAQ. A simple monthly cycle:

• week 1: audit source pages and missing proof points;
• week 2: improve structure (lists, tables, definitions, FAQ);
• week 3: align entities, structured data and canonical URLs;
• week 4: measure, compare and prioritise the next workstreams.

Measuring presence in AI answers

Measurement starts from two objects. Keywords carry a SERP and an AI Overview: for each one, you record an AI presence state. Questions carry an answer requested from ChatGPT and have no SERP: you track them after publication, on a fixed, repeated set, and read citations gained, lost, stable or with no baseline. A brand is cited when it is named or linked in the answer. The four states read as follows:

Each page is compared with itself, before / after: you read a correlation over time, never a causation, and a question that wasn't tracked before has no "before". "Position" in ChatGPT cannot be measured. The full set of indicators, from AI share of voice to referral traffic in Google Analytics 4, is detailed in our page on GEO KPIs.

What not to over-interpret

AI answers can reduce click volume while bringing visitors who are further along in their thinking: tie presence to conversion and lead quality, not traffic alone. Three signals are easily misread:

• a drop in organic sessions, while the zero-click share increases on your queries;
• a one-off spike in citations that doesn't hold across several readings;
• a direct "update, therefore citation" link, drawn without a before / after protocol.

GEO & SEO: complement, not replace

GEO complements SEO; it doesn't replace it. Generative engines rely on pages that are already indexed, structured and trustworthy: strong SEO foundations increase your chances of being selected. What changes is the unit of work (the passage rather than the page), the objective (the citation as well as the click) and the measurement. The common ground, the differences and the prioritisation matrix are in our GEO vs SEO comparison.

Give each page a job

The risk isn't choosing between GEO and SEO, it's steering towards incompatible objectives. A highly promotional page converts well when there is a click, but generative engines readily filter out promotional content; a highly neutral page is reused more easily, but needs a conversion path once the reader lands on the site. Organise the trade-off by intent:

• informational: aim for citations;
• commercial: aim for conversion;
• navigational: aim for brand control in the answers.

AI in your SEO, tools and service providers

Three neighbouring topics each have their own page, so the decisions don't get mixed up:

• AI in SEO practice: semantic analysis, automation and assisted production are covered in our AI SEO page.
• Tooling: the features to expect from a GEO tracking tool are described in our guide to GEO tools.
• Working with a provider: assignments, deliverables and warning signs are in our page on the GEO consultant.

Depending on your situation

Depending on where you start, your next read is not the same:

• You're moving to execution: the step-by-step path, from choosing questions to measurement, is in our guide to GEO referencing.
• You come from SEO: the shift from click to citation is explained in our article from SEO to GEO.
• AI Overviews worry you: their effect on CTR and how to get featured in them are in our page on AI Overviews and AI Mode.
• You need to report: the report template, persona by persona, is in our page on GEO reporting.

To start from what your audiences ask rather than from a keyword list, the Incremys platform emulates your personas in AI engines and on the web, then gathers their questions into one unified brief per persona; the 360° GEO & SEO audit then records, for each keyword, the AI presence state: brand named, domain cited, domain as source or absent. What the platform does in place of an agency is detailed on our GEO & SEO agency page.

FAQ on Generative Engine Optimization (GEO)

What is GEO (Generative Engine Optimization)?

GEO is about making a brand and its content visible and cited in the answers of generative engines such as ChatGPT, Perplexity, Gemini or AI Overviews. It doesn't target a position in a list of links, but selection as a source. It relies on extractable content, authority, freshness and brand consistency across the web.

Does GEO replace SEO?

No, GEO complements SEO without replacing it. Generative engines rely on indexed, structured and trustworthy pages: solid SEO foundations remain the condition for being selected. GEO adds its own objectives, formats and measurement, centred on presence inside the answer rather than on the click alone.

How can I tell whether ChatGPT cites my brand?

To find out whether ChatGPT cites your brand, ask it a fixed set of questions, repeated over time, and record for each one whether the brand is named, the domain is cited, it appears as a source or it is absent. A single answer proves nothing, because it varies from one session to the next.

Are AI Overviews available in France?

Yes, Google's AI Overviews have been available in France since summer 2026, as has AI Mode, at the time of writing. Both display links to their sources. Search Console includes their impressions and clicks in the Performance report, without separating them from classic results.

How long does it take to see results?

No reliable timeframe can be promised: you measure before / after. Record the presence state of your keywords and questions before acting, publish or update your pages, then compare each page with itself on the same question set. You read a correlation over time, not a causation.

Do you need an llms.txt file?

No, an llms.txt file is not needed to be cited. It is not an official standard, Google does not apply it and it protects no content. It can be used to point to your reference pages, but the priority remains indexing, AI crawler access and content quality.

What content do AI engines cite?

AI engines mainly cite extractable passages: direct answers, short definitions, lists, tables and FAQs, attached to an author, a date and sources. They also draw on third-party pages, reviews and mentions that talk about the brand. Content that is up to date and consistent with the rest of the web is more likely to be selected.

What is the difference between a keyword and a question in GEO?

A keyword carries a SERP and an AI Overview, while a question carries an answer requested from an assistant such as ChatGPT and has no SERP. Keywords are therefore tracked by AI presence state, and questions on a fixed set, after publication, as citations gained, lost, stable or with no baseline.