Lead with the answer
The single highest-leverage change you can make is putting the direct answer in the first 40-60 words under each heading. A direct answer near the top is the first trait Ahrefs observed on the cited page it analyzed, and an answer-first block appears easier for an engine to lift as a clean quote — though no engine has published exactly how it extracts passages, so treat that mechanism as inference, not fact. The data says the stakes are highest at the start of a research session: Profound analyzed roughly 730,000 cited US-English ChatGPT conversations from October through December 2025 and found citation incidence was 12.6% on the first turn, falling to 4.5% by turn ten and 3% by turn twenty. Most of your citation opportunities come from opening questions — "what is," "best for," "how much," "X vs Y" — so resolve those questions immediately, then expand into evidence and caveats.
What cited pages have in common
Ahrefs' analysis of LLM citations dissected a page that earned citations and found it combined four traits worth copying. The analysis also observed a preference for fresher content in its sample. Treat these observations as design evidence, not proof that any single formatting choice causes citation — the study is observational, and Ahrefs itself documented that identical prompts can return different responses across runs.
- A direct answer near the top of the page, before any background or context
- Dated original data — in the analyzed example, an original poll of 439 respondents with a clear date
- Concrete statistics in plain text, not locked inside images or scripts
- Scannable structure: clear headings and tables an extractor can lift cleanly
Before and after: rewriting a section to be extractable
The example below is illustrative — invented copy, not a real page. The "before" version opens with throat-clearing: a vague heading, hedged generalities, and a promise to get to the point later. An extractor scanning that block finds nothing quotable. The "after" version turns the heading into the buyer's actual question and resolves it in the first sentence, so the block stands alone even when lifted out of the page. Apply the same test to every H2 on your site: if you pasted just that heading and its first paragraph into a chat window, would it read as a complete answer?
<!-- BEFORE (illustrative): buried answer -->
## Thinking About AI Search Visibility
Search is changing fast, and many teams are asking what that
means for their content. There are many factors to consider,
and the answer depends on your goals, industry, and audience.
Before we get into specifics, some background is useful...
<!-- AFTER (illustrative): answer-first -->
## Can AI search engines cite your product pages?
Yes — if the page gives a direct, self-contained answer near
the top. Name the product, say who it is for and what problem
it solves in the first two sentences, then back each claim
with a dated source. Details and caveats follow below.Use questions as headings and keep paragraphs short
Phrase H2s and H3s as the questions your buyers actually ask. A question heading mirrors the way prompts are phrased — a plausible aid to retrieval matching, though not something any engine has confirmed — and doubles as classical SEO for People Also Ask. Under each question, keep paragraphs to 2-4 lines; short, self-contained blocks match the scannable structure Ahrefs observed on its cited example and appear more likely to be lifted as a clean quote. Match depth to intent: Semrush's study of 5,000 queries and 150,000 citations found commercial AI responses were roughly twice as long as informational ones. So give informational pages a crisp definition and direct answer, but give commercial pages structured comparisons, current prices, trade-offs, and explicit "best for / not for" guidance — while keeping every individual block self-contained.
Put your numbers in plain text, and date them
Two of the traits Ahrefs highlighted on its cited example — dated original data and plain-text statistics — are the cheapest to adopt. Publish statistics as text and in HTML tables, not as chart images, since an extractor cannot quote a PNG. When you publish original data, make the evidence visible: state the sample size, collection date, method, and limitations next to the headline number, and show a visible last-updated date on the page. A dated, sourced statistic is a ready-made quote; an undated one forces the engine to guess whether it is still true.
Structure gets you extracted; earned coverage gets you found
Formatting alone does not earn citations. Muck Rack's May 2026 analysis of more than 25 million links cited by ChatGPT, Claude, and Gemini across 17 industries found that earned media made up 84% of links, while paid or advertorial content contributed just 0.3%; journalism supplied 27% overall. The study also found trend questions drew journalism at more than twice the rate of how-to questions, and each engine leaned on different top sources — Wikipedia for ChatGPT, PubMed Central for Claude, Reddit for Gemini. The practical takeaway: your well-structured page is the landing spot, but independent editorial coverage is what routes engines to it. A sponsored-placement program is not a citation strategy.
What Google says you don't need
Google's official guidance on AI features is blunt: the same foundational SEO practices apply, unique people-first content is what it recommends, and no special "AI text files" or special schema are required for its AI surfaces. It also warns against inauthentic mentions and notes that third-party tools do not have access to Google's internal search data. Treat llms.txt and exotic markup as optional experiments for other engines — not requirements for AI Overviews or AI Mode. Standard structured data (Article, Product, FAQPage) is still worth shipping where it supports classic rich results, but do not add schema purely to chase Google's AI features, and be skeptical of anyone selling it as mandatory.
The AI-friendly page template
Pulling the evidence together, here is the page structure we use and recommend.
- H1 phrased naturally around the primary topic
- Direct answer summary in the first 100 words
- H2s as buyer questions, each answered in 40-60 words directly beneath
- Statistics in plain text with dates, sample sizes, and sources
- Bulleted lists for enumerations, numbered lists for steps, tables for comparisons
- FAQ section answering real buyer questions
- Visible last-updated date and a named author
- Standard structured data where it fits — useful for classic SEO, not required for Google's AI surfaces