GEO content strategy: a practical guide to creating content AI engines cite

A GEO content strategy answers one precise question: how do you get ChatGPT, Perplexity, Gemini or Google's AI Overviews to cite your pages when your personas ask them? It plays out at every stage of a data-driven editorial strategy: topic selection, formats, page structure, proof, off-site presence and measurement. This guide covers each of them, with a checklist and a measurement plan.

What generative search changes for an editorial strategy

Generative engines write an answer and cite a handful of sources: a brand is "cited" when it is named or linked in that answer. At the time of writing, AI Overviews and AI Mode have been available in France since summer 2026, and Google Search Console counts them in the Performance report without separating them out.

The purpose of every piece of content therefore widens: be found on Google, then be picked up as a reliable source in the generated answer. How the models work and how this differs from classic SEO are covered in the guide to Generative Engine Optimization and in the analysis of the shift from SEO to GEO; this article stays focused on editorial decisions.

Choosing topics: start from the questions people ask AI

Nobody types "HR software" into ChatGPT: they ask which HR software to choose for a team of forty people, with a specific payroll constraint. Content mapping therefore starts from keywords, but turns them into complete questions, phrased the way your personas would ask them. Each question becomes a line in the editorial plan, with its search intent, its target page and its AI presence status.

Where to find your personas' questions

Several sources feed this list, and they should be cross-checked:

• Long, question-style queries in Google Search Console, which reveal how people actually phrase their searches.
• Questions from sales and support teams: objections, comparisons, selection criteria.
• "People also ask" boxes and related searches on your priority keywords.
• Discussions on Reddit, specialist forums and LinkedIn.
• The current answers of generative engines: ask the question, note the sources cited and what is missing.

Breaking a question down by persona and intent

Generative engines tailor their answer to context: a CFO and an operational user do not get the same one. The table below shows, for an HR software vendor, how one topic breaks down into questions, then into content to plan.

This breakdown avoids producing ten variants of the same text: you cover the questions that drive a decision, in order of their value and their probability of success.

The most citable formats and their markup

Some formats lend themselves better to extraction, because they isolate an answer, a series or a comparison. The table below matches each format with its use and its markup.

One caveat on markup: Google restricts the display of FAQ rich results and has removed HowTo since 2023. These types of markup are therefore no longer display levers in Google; they remain useful for making question-answer pairs and steps readable by machines. Article, Author and Organization complete this foundation.

The FAQ remains the format closest to a conversation with an assistant. To make it citable, four rules apply:

• Phrase questions as users would naturally ask an assistant ("How do I do X?" rather than "Our solution for X").
• Answer in two or three concise sentences before elaborating.
• Cover related questions and objections, not just the obvious ones.
• Do not copy the body of the page: an FAQ that repeats a heading adds no new passage.

Structuring a citable page

The engine first identifies headings and blocks before extracting a passage: structure matters as much as substance. Pages with an H1-H2-H3 hierarchy are 2.8 times more likely to be cited (State of AI Search, 2025).

The anatomy of a citable page

A page designed to be picked up brings together the following elements:

• An answer at the top: the first two sentences answer the H1 question, with no preamble.
• H2s and H3s that make sense out of context: "Criteria for choosing an HRIS" rather than "The criteria".
• Short paragraphs of three or four sentences, each carrying a single idea.
• Dated proof: sourced figures, real examples, a visible update date.
• An identified author, with their role and expertise, and a publication date.
• Internal links to the pages that go deeper into each subtopic.

Writing extractable passages

Every section must be readable on its own. The first sentence states the answer; what follows justifies or qualifies it. References to an earlier section ("as seen above", "the latter") break extraction: the extracted passage loses its subject.

To review a passage, ask three questions: can it be extracted without losing its meaning, can every claim be verified, does the tone stay factual? A promotional passage is rarely cited, because it answers a different question from the user's.

Proof and freshness: what makes content reliable

Generative engines cross-check information: content with no source, no author and no example has little reason to be preferred over a competitor that documents its own. Proof is therefore planned from the brief onwards.

Source, sign, illustrate

The brief for each piece of content specifies the proof expected:

• The figures to cite, each with its named source and its year.
• The in-house expert or customer who signs, reviews or provides a quote.
• The real examples and documented cases to include.
• The external reference sources (studies, official documentation) to link to.

This content follows the same chain as the rest of the plan: a brief by persona and intent, writing supervised by personalised AI or by a writer, human review of proof and extractability, then publication.

Freshness as a planning criterion

Engines favour recent content. 79% of AI bots index content from the past two years (Squid Impact, 2025). More benchmarks on generative search are gathered in our GEO statistics. A strategic page left untouched for a long time therefore loses an argument against a recent page.

Updating content is a decision in its own right, to be weighed against the expected gain of creating something new. The most useful triggers are:

• A cited statistic has been superseded by more recent data.
• The page is losing positions or no longer appears as a source for its target questions.
• A competitor is cited instead of you with a more complete answer.
• The offer, prices or regulations described have changed.

Being present beyond your own site

Generative engines do not draw only on brand websites. 48% of AI citations come from community platforms (State of AI Search, 2025). Reddit, YouTube and LinkedIn carry weight in these citations. The editorial plan therefore includes content designed for these platforms, not just article reposts.

The main off-site levers to build into the plan are:

• Reddit and specialist forums: answer questions in your sector with an expert contribution, without promotion, signed by an identifiable person.
• YouTube: transcripts and descriptions are readable by engines; a video that answers a precise question, with an explicit title, becomes a source.
• LinkedIn: posts and articles are indexed by Google and cited by generative engines; the company's experts put forward well-argued points of view there.
• Specialist media: expert opinion pieces and original studies associate the brand with expertise, beyond the pursuit of a link.

Adapting canonical content from the site for these platforms, tracking conventions and the choice of formats per network are covered in the social media content strategy.

Checklist: before, during and after writing

This checklist turns the previous decisions into checks, to be added to the brief and the review grid.

Before writing

These checks frame the topic and the proof:

• Identify the persona or personas the content targets.
• List the questions these personas would ask a generative engine.
• Note the engines' current answers and the sources they cite (competitors, media, Reddit).
• Record the AI presence status of the target keyword.
• Plan the distribution channels: site, community platforms, media.
• List the proof to include and its sources.

During writing

These checks cover the structure and extractability of the text:

• Write the first sentence of each section as a standalone answer.
• Write headings that make sense out of context, in an H1-H2-H3 hierarchy with no skipped levels.
• Include precise data, each with its source and year.
• Present criteria and steps as lists, comparisons as tables.
• Add an FAQ with naturally phrased questions, without copying the body.
• Keep a factual tone, with no promises or superlatives.

After publication

These checks prepare distribution and measurement:

• Implement the appropriate markup: Article and Author, FAQPage where relevant.
• Reread each key passage in isolation to check it remains understandable.
• Test the target questions in ChatGPT, Perplexity, Gemini and Google, and note the sources cited.
• Publish the planned adaptations on external platforms.
• Schedule the next content review in the editorial calendar.

Measuring your content's presence in AI answers

Measurement follows the SEO logic, keyword by keyword, with one additional indicator: presence in generated answers, read as a trend across a stable panel of questions.

The four presence states per keyword

For each tracked keyword or question, AI presence falls into one of four states, from most to least favourable. Each state calls for a different editorial decision:

Each move from one state to another thus becomes an objective in the editorial plan.

The KPIs of a GEO content strategy

These indicators complement the editorial strategy KPIs rather than replacing them. The table shows, for each one, what it measures and where to read it:

Measuring before / after an editorial action

Every update or new piece is compared with a baseline recorded before publication: presence, citations per question, positions, AI traffic. The record is repeated on the same panel after a period set in advance, varying the personas in the questions tested.

Any progress observed remains a correlation, because competitors and engines change too. Comparing several actions over time, however, reveals which formats and topics progress most.

Depending on your situation

Your starting point depends on your editorial maturity and your current presence in AI answers:

• Your topics are chosen case by case: structure them into pillars, clusters and facets with the SEO & GEO content strategy, adding citability as a planning criterion.
• You already produce a lot but quality varies: frame the brief, writing and review chain with the editorial content production method.
• Your site ranks well but is rarely used in answers: work on machine readability, starting with structured data.
• You want to point models to your reference pages: an llms.txt file lists them, with no guarantee that every engine will take it into account.
• You do not know where you stand: first record the presence status of your priority keywords, then track it before / after each action.

To start from the questions your personas really ask, the Incremys platform emulates them in AI engines and on the web and derives a unified brief per persona; content is then produced in your Brand DNA, scored before publication, and tracked by the performance reporting module: AI presence per keyword, citations per question, AI traffic. The whole method is described on our GEO & SEO agency page.

FAQ on GEO content strategy

What content length is needed to be cited by AI?

Structure matters more than length: generative engines extract passages, not entire pages. A short, well-titled article with direct answers is cited more readily than a long, disorganised text. The right length is the one that covers every question on the topic, with each paragraph providing information that can be reused on its own.

Should I write differently for ChatGPT and for AI Overviews?

No, the principles stay the same: answer first, clear structure, sourced proof, factual tone. The sources they draw on differ, however. AI Overviews rely heavily on Google's organic results, while ChatGPT and Perplexity also draw on community platforms. A complete strategy therefore works on both the site and off-site presence.

How can I adapt existing content to generative search?

Start with pages that already rank but receive no citations. Test their target questions in the engines, note the sources cited instead of you, then compare. The most common changes are a direct answer at the start of each section, explicit headings, sourced and dated data, and an FAQ that addresses objections.

Can AI-written content be cited?

Yes, if it is supervised. A generative engine judges accuracy, proof and structure, not the writing tool. The recommended chain starts from a brief by persona and intent, relies on personalised AI trained on the brand, then goes through a human review that checks facts, sources and extractability before publication.

Is FAQPage markup still useful?

Yes, for a different reason than before. Since 2023, Google has restricted the display of FAQ rich results: the markup no longer brings a visible gain in most cases. It still helps machines read question-answer pairs. What matters most remains the content of the FAQ itself: real questions and direct answers.

Why can a brand be cited without getting a click?

Generative engines synthesise information rather than listing links. They can name a brand without linking to it, or list its domain among the sources without the user clicking. Traffic metrics therefore underestimate the effect of a GEO content strategy: presence per keyword and citations per question complement clicks.

Does a Wikipedia page help you get cited?

It can help, because Wikipedia is one of the reference sources for generative engines. It only makes sense, however, if the notability of the company or its executives meets the encyclopedia's strict criteria. A promotional page would be deleted and would harm the brand's credibility.

Does GEO replace SEO?

No. A poorly indexed or poorly ranked page has little chance of being used by a generative engine, and AI Overviews rely on organic results. GEO adds criteria to SEO: passage citability, proof, off-site presence and measurement of AI presence. Both are managed within the same editorial plan.