Quick answer: AI engines cite content they can lift cleanly, verify easily, and attribute confidently. In practice that means pages that open with a direct answer, use question-shaped headings, include concrete statistics with named sources, package comparisons in tables, show a date and a named author, and carry matching schema markup. The Princeton research that founded generative engine optimization put numbers on this: adding statistics and citing sources improved visibility in AI answers by roughly 30–40% — making these the highest-leverage edits you can make to existing content.
This is the working checklist we apply to every page, including this one. Nine items, ordered by impact, each with the why and a before/after so you can apply it in an afternoon.
How is writing for AI different from writing for Google?
One sentence of theory before the checklist: Google ranks whole pages and sends a human to browse them; AI engines extract passages and assemble them into an answer. Google's unit of competition is the page. The AI's unit of competition is the paragraph. So GEO writing is the craft of making individual passages self-contained, factual, and quotable — while keeping the page genuinely good for the humans who arrive. Nothing below trades one for the other; extraction-friendly writing is, mostly, just unusually clear writing.
The 9-point GEO writing checklist
1. Open with the answer, not the wind-up
The first two paragraphs should directly answer the question the page targets — the complete short version, not a teaser. AI systems disproportionately draw from the top of documents, and an opening that actually answers gets lifted; an opening that promises to answer later gets skipped.
Before: "Choosing the right espresso machine can feel overwhelming. With so many options on the market, where do you even begin? In this guide, we'll explore everything you need to know…"
After: "For most home users, the best entry-level espresso machine in 2026 is a single-boiler semi-automatic in the $300–500 range — enough for café-quality shots without commercial complexity. Here's how to choose within that range, and when it's worth spending more."
2. Phrase headings as the questions people actually ask
Your H2s should read like queries: "How much does X cost?" "Is X better than Y for Z?" This isn't cosmetic — it tells the AI exactly which question the following passage answers, making the match between a user's question and your content trivially easy. It also mirrors how people phrase things to assistants, which is more conversational and specific than the two-word phrases they type into Google.
3. Add real statistics — and name where they came from
The single most evidence-backed item on this list. The Princeton GEO study found statistics and source citations were the top-performing content additions, each improving AI visibility on the order of 30–40%. The mechanism is intuitive: AI systems prefer repeating claims that arrive pre-verified. "Many customers now research with AI" is an opinion; "37% of consumers begin searches with AI tools, per a 2026 study cited by Search Engine Land" is a citable fact with a chain of custody.
Two rules: only real numbers (an invented statistic that spreads is a reputational time bomb), and name the source in the sentence itself, not just a hyperlink — the attribution needs to survive being lifted out of your page.
4. Write standalone passages of 2–4 sentences
Audit your key sections with one test: if this paragraph were quoted alone, with no surrounding context, would it still be true, clear, and complete? Passages stuffed with "as mentioned above," "this approach," and dangling pronouns die in extraction. Self-contained passages travel.
Before: "This makes it a great option for the use case we discussed, though it has the drawback mentioned earlier."
After: "A single-boiler machine suits home users who make one or two drinks at a time; its main drawback is waiting 30–60 seconds between pulling a shot and steaming milk."
5. Put comparisons in real tables
Anything comparative — options, prices, pros and cons, us-vs-them — belongs in an actual HTML table, not prose and not an image. Tables are the most cleanly extractable structure on the web: both AI engines and Google's rich results can read, reproduce, and attribute them. An image of a table, by contrast, is invisible to most extraction.
6. Show a visible date — and keep it honest
AI engines lean toward fresh sources, and a visible "Updated: [date]" is the signal they read. Add published and updated dates to your templates, and actually refresh cornerstone pages on a schedule (quarterly is a reasonable default in fast-moving categories). The honesty clause: bumping dates without changing content is detectable and erodes exactly the trust you're trying to build.
7. Attach a named author with a one-line credential
"By the Team" is an anti-signal. A named human with a stated credential ("15 years running local restaurant kitchens") feeds the E-E-A-T trust cluster that both Google and AI systems weigh when deciding which sources are safe to repeat. Add an author box to your templates; link it to a real bio page.
8. Mirror the structure in schema markup
Schema (structured data) is machine-readable labeling that confirms what your page contains. For GEO writing, three types matter most: Article (basic identity, author, dates), FAQPage (marks your question-answer pairs), and HowTo (marks step sequences — like this checklist). Schema doesn't rescue weak content, but it removes ambiguity from strong content, and ambiguity is what keeps borderline passages from being used. If your pages already follow items 1–7, the schema almost writes itself, because the content is already shaped like the markup.
9. End with an FAQ section that earns its place
A closing FAQ block of 4–6 real questions — the ones people actually ask next — does triple duty: it captures long-tail question searches, it maps one-to-one onto FAQPage schema, and each answer is a purpose-built liftable passage. The discipline: answer each in 2–4 self-contained sentences, and don't pad with filler questions nobody asks. (You'll find ours below, practicing the format.)
What should I fix first on existing content?
Don't rewrite the whole site. Ruthless order of operations:
- Pick your five most important pages — the ones answering the questions that bring customers.
- Apply items 1 and 3 first (answer-first opening, statistics with sources) — highest measured impact per hour of work.
- Then items 2, 5, and 9 (question headings, tables, FAQ) — structural, template-level changes.
- Then 6, 7, 8 (dates, authors, schema) — mostly one-time template fixes that pay across every page.
An afternoon per page is a realistic budget for the first pass. And a necessary caveat this industry doesn't say enough: GEO is roughly two years old, resting on one landmark study and fast-moving practitioner consensus. These practices measurably help today; treat them as the current best playbook, not eternal law, and re-test as models change.
How do I know if it's working?
You measure it the only way AI visibility can be measured: by asking. Build a panel of the 10–20 questions your customers actually ask, run them across ChatGPT, Perplexity, Gemini, and Google AI Overviews, and record whether you're mentioned, cited with a link, or actively recommended — then repeat monthly, because AI answers vary between runs and single checks are snapshots, not scores.
That loop is tedious by hand, which is precisely why we built it into SeeGeo: the free audit scores your existing pages against this checklist automatically, and the paid plan runs your question panel on schedule so you watch citations trend instead of guessing. Either way — tool or by hand — measure. Writing without measuring is how this discipline stays folklore.
If the checklist isn't moving anything, the problem may be upstream: see why ChatGPT recommends your competitor, where the cause is often access or citation-source presence rather than the writing itself.
Frequently asked questions
How do I get my website cited by ChatGPT? Make sure AI crawlers can access your site, then publish answer-first content: direct answers in the opening paragraphs, question-shaped headings, real statistics with named sources, comparison tables, visible dates, named authors, and matching schema markup. Then build presence in the third-party sources AI engines already cite for your topic, and measure monthly.
Does schema markup help with AI citations? It helps by removing ambiguity: schema confirms in machine-readable form what your page contains, which supports extraction and attribution. It doesn't compensate for content that isn't answer-shaped — think of it as the label, not the product.
How long should GEO-optimized content be? As long as the answer requires and no longer. Depth helps when it adds facts, examples, and covered sub-questions; padding hurts because it buries the liftable passages. A thorough 1,500-word page with ten self-contained passages beats a 4,000-word page with three.
Should I write different content for AI engines and for Google? No — one page, written answer-first, serves both. The overlap between what AI engines extract and what Google's helpful-content systems reward is large, and maintaining parallel versions of your content is wasted effort with added risk of inconsistency.
Can AI-generated content get cited by AI engines? There's no explicit penalty for how content was produced; the systems judge the output. In practice, generic AI-generated content fails this checklist on its own — no original statistics, no real author, no first-hand specifics — which is what keeps it from being cited. Content drafted with AI but grounded in your real data, expertise, and sources can absolutely perform.
What's the fastest single change I can make today? Rewrite the opening of your most important page so its first paragraph fully answers the question the page targets, and add one real statistic with its source named in the sentence. Those two edits carry the strongest evidence behind them and take under an hour.