AI visibility guide
AI Content Strategy:
What to Publish So AI Can Cite You
An AI content strategy for search: publish unique, checkable pages, including honest comparisons, and measure appearances. What Google says to do.
An AI content strategy is a plan for what to publish so AI search products have specific, checkable material to cite, and a way to measure whether they do. In practice it is regular content strategy with one stricter filter: each page must contain something unique, such as your own data, examples or opinions that a rival cannot copy.
Google’s guidance supports that and rules out the tricks. Optimizing for generative AI search is, in Google’s words, still SEO. There is no ideal page length, no need to chop pages into small pieces, and no special markup. Scaled content made to manipulate AI responses and inauthentic mentions are spam. What is left is original, useful pages, and comparison and best-of pages are one good example because buyers ask comparison questions directly.
Our own experience: askairank.com publishes /compare/ pages against other trackers and states the criteria on each. We treat the table as a dated document and recheck it, because a comparison with stale pricing is worse than none.
Why it matters for AEO. AI answers are built from pages that say something specific and checkable. A content plan for AI search is a normal content plan with fewer filler pages and more pages only you could write, such as your own comparisons, data and decisions.
How to do it
- List the questions your buyers ask before choosing: what is it, which is best, X vs Y, how much, does it work with Z.
- For each question, check whether you own an answer page. Write the missing ones first, starting with the ones where you have first-hand knowledge.
- Make each page unique: your own numbers, screenshots, examples or decisions. Google's guidance asks for unique, non-commodity content.
- Publish honest comparison and best-of pages. State the criteria, include competitors where they win, and put the facts in a real HTML table with a date.
- Do not split pages into tiny pieces or hit a target length. Google says there is no requirement for either.
- Do not mass-produce pages to steer AI answers or plant mentions elsewhere. Google names scaled content made to manipulate AI responses and inauthentic mentions as spam.
- Measure: check Search Console's Generative AI performance report for impressions, and track your brand across assistants with a repeatable prompt set.
How to verify. For each priority question, search it in two assistants. Your page should either be cited or at least be as specific as the pages that are. If a cited page has a number you do not, add one you can defend.
Example
Comparison page checklist (ours: askairank.com/compare/askrank-vs-*)
- Criteria stated up top (engines covered, pricing model, reporting)
- Table with a "checked on" date
- A row where the competitor wins
- One sentence on who should pick which
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FAQ
Frequently asked questions
Quick answers about ai content strategy: what to publish so ai can cite you.
What is an AI content strategy?
A plan for which pages to publish so that AI search products have specific, checkable material to cite, plus a way to measure whether they do.
Is it different from SEO?
Google says optimizing for generative AI search is optimizing for the search experience, and so still SEO. The plan changes in emphasis, not in kind.
Should I write comparison and best-of pages?
Yes if you can be fair. Pages that include competitors honestly and show their criteria are more useful to readers and harder to dismiss than pages that only praise your product.
Do I need special markup or files?
No. Google states you do not need new machine-readable files, AI text files or special markup to appear in its AI features.
How do I know it works?
Watch impressions in the Generative AI performance report where it is available to you, and track appearance rate over many runs of a fixed prompt set.
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