Optimizing a page for GEO is reordering it so an AI can pull the answer without digging: the direct answer up top, H2s phrased as questions, citable data inside the text, the minimal schema that declares who you are, and a date that says the page is still alive. It’s not theory —the why lives in other guides—; this is the list of concrete changes to the HTML you already have. Here it goes, top to bottom, no filler.
What changes on a page when you optimize it for GEO?
A classic search engine ranks links; a generative engine retrieves fragments and synthesizes them into an answer. That shift moves the unit of work: you no longer optimize the whole page for a keyword, you optimize each block to be the easiest piece to cite on one specific question. The underlying concept —how this differs from old-school SEO— is in GEO vs SEO, and the strategy of why the AI picks some and not others is in how to get the AI to cite you. This guide doesn’t repeat that theory: it sticks to what to change.
Good news: almost none of this is rewriting. It’s reordering what you already have so a machine reads it without effort. Most pages already contain the answer —just buried under three paragraphs of context an LLM doesn’t need—. The job is to surface it and structure the rest so it can be parsed.
How do you put the direct answer right at the top?
Rule number one of on-page GEO: front-load the answer. Take the question the page answers and answer it in the first two or three lines, before any warm-up intro. The model rewards what it can extract without scrolling; per the citation data, most citations come from the first third of the content, so the answer you hide at the end doesn’t exist for the engine. The detail on those numbers is in how to get the AI to cite you.
- Start with the conclusion. The first line of the page answers the title’s question. No "in this article we’ll see".
- One idea per block. Each paragraph or section stands on its own, no need for the one above. If you have to read what’s above to get it, it isn’t citable.
- Repeat the short answer in each section. Open every H2 with the direct claim, then develop. The model extracts the first line, not the nuance at the end.
Why should your H2s be questions?
Because the buyer asks the AI with questions, and the model matches that question to the heading that looks most like it. If your H2 is "Our methodology", it matches nothing; if it’s "How much does it cost to optimize a page for GEO?", it matches the user’s literal question. Write H2s as the exact question your buyer asks —in their words, not yours— and put the direct answer right below.
This has a useful side effect: it forces you to structure the page around real questions, not around whatever you feel like telling. Each question-H2 is a self-contained fragment that can go into a different answer. A page with six well-answered question-H2s is six chances to be cited; one with six brochure titles is zero.
What data and structure get you cited by AI?
The study that coined the term GEO (Princeton, presented at KDD 2024, over roughly 10,000 queries) measured it with numbers: adding statistics raised generative visibility by 22% and adding citations to sources by 37%. Operational translation: the AI cites those who cite and those who bring figures. Asserting isn’t enough —"we’re the best"—; you have to supply something verifiable the model can safely reuse.
| Page element | What to do | Why the AI rewards it |
|---|---|---|
| Figures and stats | Add concrete data with its source linked, not adjectives. | The answer needs verifiable facts; without a source it won’t risk citing you. |
| A proprietary data point | Publish a number that only exists on your site (a benchmark, a real result). | It makes you a primary source: if the answer needs that number, it needs you. |
| Lists and tables | Turn everything enumerable into ol, ul or a table. | Structured content is parsed and extracted better than a dense paragraph. |
| A delimited FAQ | Close with short questions and answers, one per block. | Each Q&A pair is a fragment ready to be cited as is. |
Honesty rule, and non-negotiable: don’t invent figures to fill the table. A fake number the AI reuses is a time bomb for your credibility. If you don’t have a real number, don’t put one —better a block with no figure than an invented figure—.
How much schema do you actually need?
Less than they sell you. Schema isn’t a ranking trick: it’s the way to tell the model who you are and how your data connects, so it reads you as an entity and not as loose text. With the minimum you cover almost all the value:
- Organization (or
LocalBusinessif you’re local): declares your entity —name, logo, profiles— so the model knows who’s speaking. - Article on content pages and FAQPage where you have questions: it marks the structure you already wrote in the text.
- Nothing more, unless your business type justifies it.
Product,RevieworHowToonly if they genuinely apply.
Building fifteen nested schema types while your answer sits buried in paragraph twelve is technical theater: hours spent on what the AI barely uses, ignoring what actually moves the needle. The breakdown of what markup matters for GEO is in schema for GEO; this page just insists on one thing: minimum viable and move on.
How do you keep the page fresh so it keeps getting cited?
Engines that retrieve the web live prefer sources that look maintained. But freshness isn’t changing the date and done: it’s the content still being true. A page with a three-year-old figure that no longer adds up doesn’t just age, it subtracts —the AI reads it as unreliable and drops you from the answer—.
- Update figures when new ones come out and touch
dateModifiedonly when you actually change the content. - Delete the obsolete. A "back in mid-2024…" that no longer applies does more damage than the gap removing it would leave.
- Check links and sources. A dead or stale source drags down the credibility of the block that cites it.
The full on-page GEO checklist
Actionable recap. Run each page through this list, top to bottom. Any point you don’t meet is your next change:
- The direct answer is in the first 2-3 lines, before any intro.
- The H1 is the exact question or term your buyer searches for.
- The H2s are real questions, with the short answer right below.
- Each block stands alone: it passes the copy-paste test.
- There are figures and data with their source inside the text —none invented—.
- You include at least one proprietary data point that only exists on your site.
- Anything enumerable is in lists or tables, not dense paragraphs.
- You close with a FAQ of short questions and answers.
- The schema is minimal: Organization + Article/FAQPage.
- The
robots.txtlets AI crawlers through (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended). - The page is fresh: figures reviewed,
dateModifiedhonest, nothing stale.
None of these changes is a project; they’re an hour per page. What’s expensive isn’t doing them, it’s not doing them and keeping on paying for content the AI can’t cite. If you want this work executed on your money pages —not in a report with recommendations—, GEO optimization does the list, not the reading; and if you also want to know whether it moves your citations, AI visibility monitoring measures the before and after.