How to write content that AI cites: a generative engine optimization playbook

Content that AI cites is content that answers one question per section directly, in a short and factual sentence that stands on its own, under a heading that asks the exact question the user types. You make the language model’s job as easy as possible: the less a model has to interpret, the greater the chance it lifts your sentence verbatim with a source attribution. In this playbook you will read how to do that concretely, with examples of a citable versus a non-citable passage, the mistakes to avoid and a checklist.

This is the core of GEO (generative engine optimization): writing so that ChatGPT, Perplexity, Google AI Overviews and Gemini use your page as a source. Want the wider context first? Then read what GEO actually is.

The eight steps below form one build together: you start with how you write and end with the question of whether AI really cites you. Here is what that climb looks like.

What you need before you start

You do not need many tools. But you do need this:

• A clear topic per page. One page that thoroughly answers a single question cluster beats five pages that half circle around it.
• Access to your own site and CMS, so you can adjust headings, paragraphs and structure.
• An AI search engine to test in (ChatGPT, Perplexity, Google AI Overviews). You will use it later to check whether you are cited.
• Sources and figures that back up your claims. No facts, no citation.

Step 1: write answer-first and put the answer at the top

How: Start each section with the full answer in the first one or two sentences. No run-up, no “in this article we discuss”, no scene-setting. The model reads the first sentences under a heading as the candidate answer.

Example. Question: “How long does a GEO audit take?”

• Not citable: “GEO is becoming more and more important and many companies wonder how to get started. An audit is a logical first step that helps you to…”
• Citable: “A basic GEO audit takes about an hour: you test ten core questions in ChatGPT and Perplexity, note where you are and are not mentioned, and score your pages on answer-first structure.”

The second version gives the answer straight away, with a concrete number. A model can lift that sentence verbatim.

Common mistake: hiding the answer after three paragraphs of warm-up. If the point only arrives halfway through, the model often picks a competitor that gets to the point faster.

Step 2: phrase your H2s as the question the user types

How: Turn every subheading into the exact question your audience types. AI models match the user’s question against your headings. A heading like “Benefits” loses to “What are the benefits of X for B2B?”.

Example. Replace “Our approach” with “How do you tackle a GEO strategy step by step?”. Replace “Costs” with “What does writing content for AI cost?”.

Common mistake: creative, vague headings (“The journey begins here”). They are undiscoverable for a model that searches on question intent. Save creativity for your title, be literal in your H2s.

Step 3: give a clear definition of your core concept

How: Put an explicit definition somewhere in the text in the form “X is …”. Models love definition sentences because they are complete and context-independent.

Example: “Generative engine optimization is optimizing your content so that AI search engines like ChatGPT and Perplexity cite your page as a source in their answers.” That sentence stands on its own and is immediately usable.

Common mistake: talking around the concept without ever defining it succinctly. If a reader cannot cut your sentence out of context and understand it, a model cannot either.

Step 4: write citable sentences (short, factual, self-contained)

How: A citable sentence meets three criteria: it is short, it contains a fact (a number, a definition, a benchmark) and it can be understood without the sentence before or after it. Split long compound sentences. Replace adjectives (“lightning-fast”, “leading”) with numbers.

Example before/after.

• Before: “Thanks to our proven approach, our clients often see impressive results that greatly improve their online visibility.”
• After: “After an SEO project, this client’s number of visitors rose by about 400% within 66 days.” (see our case study on a website’s position in Google)

The after version is verifiable, concrete and reusable. The before version is marketing language that no model dares to cite as fact. You will find more examples of citable content in our article on being cited by ChatGPT.

Common mistake: superlatives without proof. “The best”, “unrivalled” and “revolutionary” are noise to a model. Numbers, years and named entities are signal.

Step 5: use lists and tables for comparisons and steps

How: Put steps, criteria and comparisons in a numbered list, bullets or a table. Structured blocks are easier for a model to parse than a long running paragraph, and they are lifted in full more often in AI answers and featured snippets.

Example: a table “GEO versus classic SEO” with columns “goal”, “signal” and “metric” is more likely to be lifted than the same information in three paragraphs. For prices, pros and cons, or “when do you choose what”, a table is almost always stronger.

Common mistake: pouring everything into flowing prose because it “reads more neatly”. For people maybe, for machines not. Alternate prose and structure.

Step 6: back it up with sources, statistics and entities

How: Tie your claims to numbers, years and recognizable names (tools, companies, standards). That does two things: it makes your sentences citable and it strengthens your authority and entity recognition. Models build a picture of who a reliable source is based on consistent, factual mentions.

Example: instead of “AI search is growing fast”, write “a growing share of B2B buyers now starts their orientation in an AI search engine rather than in Google”. Concrete, dated and defensible.

Common mistake: making up numbers to sound convincing. A wrong figure that a model lifts damages your credibility twice over. Hedge instead (“in the region of”, “over”) rather than asserting something firmly that you cannot back up. Want to understand how models determine what is true? Read how grounding works.

Step 7: make your page crawlable for AI bots

How: A page that AI crawlers are not allowed to or cannot read will never be cited. Check that your robots.txt does not block bots like GPTBot, OAI-SearchBot, PerplexityBot and Google-Extended. Make sure your most important content is in the HTML and does not appear only after JavaScript. Where it makes sense, add schema markup (JSON-LD) so the meaning of your page is explicit.

Example: an FAQ block with correct FAQPage schema helps a model recognize your question-answer pairs exactly. A page where the text only loads after a client-side render often looks empty to a crawler.

Common mistake: accidentally blocking the new AI bots because an old robots rule is too broad. Check this explicitly. More on this in allowing and optimizing AI crawlers.

Step 8: measure whether you are really cited and optimize

How: Test your core questions in ChatGPT, Perplexity and Google AI Overviews. For each question, note whether you are mentioned, cited with a clickable source link, or absent. Being mentioned without a source link rarely brings traffic, being cited does. Repeat this monthly, because AI answers change.

Example: ask ten questions your ideal client would ask. If you are cited for three, mentioned for four and not found for three, you know exactly which pages need attention. Our GEO check and AI visibility tool help you do this in a structured way.

Common mistake: publishing and never looking back. GEO is not a one-off action. The five metrics that really matter are found in the 5 core indicators of AI visibility.

Worked example: a section rewritten

Take a fictional product page with the heading “Why choose us?” and this text: “We are an experienced partner that, with a unique approach, delivers excellent results for our clients.”

Rewritten according to this playbook:

• Heading (step 2): “What does working with a GEO agency get you?”
• Answer-first sentence (steps 1 and 4): “A GEO project makes AI search engines cite your page as a source, which brings new, high-intent visitors who would otherwise end up with a competitor.”
• Backing (step 6): “At one B2B client, organic traffic rose by about 400% in 66 days after a targeted project.”

The same message, but now findable, factual and citable.

Common mistakes in brief

• Hiding the answer behind a long intro (step 1).
• Vague, creative headings instead of literal questions (step 2).
• Never defining a core concept (step 3).
• Using superlatives without numbers (step 4).
• Putting everything into running prose, no lists or tables (step 5).
• Not backing up claims or making up numbers (step 6).
• Blocking AI crawlers or only showing content after JavaScript (step 7).
• Publishing and never measuring whether you are cited (step 8).

Checklist: is your page citable?

• Every section gives the answer in the first two sentences.
• Every H2 is the exact question the user types.
• There is at least one clear “X is …” definition.
• Your most important sentences are short, factual and self-contained.
• Steps and comparisons are in lists or tables.
• Claims are backed up with numbers, years or named entities.
• AI crawlers are allowed to read your page and the content is in the HTML.
• You have tested whether you are cited and planned a monthly recheck.

What this means for your AI visibility

Content that follows this playbook is not only nicer for your reader, it also makes you the source that AI chooses. Every citable sentence, every clear definition and every well-structured table increases the chance that ChatGPT, Perplexity and Google AI Overviews quote your page instead of your competitor’s. That is how you build, step by step, authority that translates into traffic and leads.

Want to tackle this structurally rather than page by page? Take a look at our approach as a GEO agency, dive into GEO for B2B or discover how clients find you via ChatGPT. Ready to start? Get in touch and we will look together at where your biggest gain is.