How to optimize content for AI search: the 10 checks behind the AI search score

How to optimize content for AI search, check by check: the 10 tests in SEOAgent's AI search score, what each one rewards, why it matters to answer engines, and what the score cannot see.

SEOAgent team · · 5 min read

How to optimize content for AI search comes down to one idea: an answer engine quotes passages, so your page has to contain passages worth quoting. SEOAgent's AI search score is a 0 to 100 rating of exactly that, built from 10 checks on the article body.

The score is not a ticket into AI Overviews. Google's documentation says a page only has to be indexed and eligible to show in Search with a snippet, and that "there are no additional technical requirements." AEO Footnotes covers what Google says it takes to appear in AI Overviews and AI Mode, including the snippet controls that limit it.

So the score sits on top of that baseline. Once a page can be cited, it measures how easy the page is to cite.

What does the AI search score check?

Every check is pass or fail, and the points add up to 100. The score runs in the editor next to the SEO score, and it is one of the five axes on the article's radar, beside SEO, Content, Linking and Coverage.

Check Points What earns it
Direct answer 16 The first 60 words mention the keyword's lead term, and the first paragraph runs to at least 80 characters
Definition 10 The first paragraph has a "X is ..." style sentence (is, are, means, refers to, stands for) and at least 60 characters
Concrete numbers 12 At least 3 numbers in the prose: prices, percentages, counts, durations, dates
Question headings 12 At least 2 headings phrased the way people ask
List or table 8 At least one list or table anywhere in the body
Short paragraphs 10 Paragraphs average 80 words or fewer
External sources 10 Links out to at least 2 distinct domains
Summary section 8 A heading such as "Key takeaways", "Summary" or "In short"
FAQ 8 An H2 with "FAQ" in it
Freshness 6 The text mentions the current or previous year

Answer first: the direct answer and the definition

These two checks carry 26 points between them, the largest share, because they decide whether the top of the page can stand alone. An assistant that lifts one passage tends to lift the first one that answers the question without needing the rest of the page.

The direct-answer check looks at the opening 60 words for the keyword's lead term and asks for a first paragraph long enough to say something. The definition check looks for a plain sentence such as "crawl budget is ..." in that same paragraph, since a one-sentence definition is the line most often quoted word for word.

Facts an engine can attribute: numbers and sources

The numbers check wants at least 3 concrete figures. A price, a percentage or a date is something an engine can attribute to you; "a lot" and "recently" are not.

The sources check wants links to at least 2 different domains. Citing your evidence is what makes a page look like one worth citing. It also matters because attribution in AI answers is still unreliable: in the Tow Center's test, the chatbots answered more than 60 percent of source-identification queries incorrectly. Named sources and clear figures give an engine less to guess.

Why does structure count for 30 points?

Question headings (12), a list or table (8) and short paragraphs (10) all serve the retrieval step. Headings that match how people phrase a question are what that step matches against, and Google says users in AI experiences ask longer, more specific questions plus follow-ups.

Lists and tables are easier to extract than prose. Short paragraphs matter because a long one gets cut off mid-thought when it is quoted.

Summaries, FAQs and freshness

A "Key takeaways" or "In short" section (8) is a summary already written for the engine to quote. An FAQ section (8) maps onto the follow-up questions an assistant answers after the main one.

The freshness check (6) passes when the text mentions this year or last year, which in 2026 means 2026 or 2025. Only add the year where it is true; a stale page with a new date is still a stale page.

What the score does not check

The score reads the article body only. Three things it cannot see decide whether that body ever reaches an answer engine.

  • Crawler access. If robots.txt blocks a search crawler, the page cannot be cited by that engine. OpenAI says sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers, while GPTBot is its training crawler and Google-Extended does not affect inclusion in Google Search. The SEOAgent AI crawler check reads your file and reports which ones you block.
  • Indexing and snippet eligibility. A stray noindex or nosnippet takes the page out before any of the 10 checks matter. The SEOAgent site audit checks indexability on every page.
  • Special files and markup. The score does not reward llms.txt or extra schema, because Google's AI features documentation says no special optimization is required. Structured data should simply match the visible text.

How do you measure whether it worked?

Google counts AI Overviews and AI Mode traffic inside Search Console's Performance report under the "Web" search type, so it does not show up as a separate line. Bing's AI Performance report goes further and shows total citations, the grounding queries that pulled your pages in, and citation counts per URL.

What first-party data shows about AI search explains what each report includes and where it stops. Compare a page's citations before and after you raise its score, and allow for recrawl time: Google says that can take several days to several months.

Key takeaways

  • The AI search score rates how quotable a page is, out of 100, across 10 pass-or-fail checks.
  • Answering first is worth the most: 16 points for the direct answer and 10 for the definition.
  • Numbers, outbound sources and structure make a passage easy to lift and attribute.
  • Crawler access, indexing and snippet controls sit outside the score, so check them separately.
  • Measure results in Search Console and Bing's AI Performance report, not in the score.

FAQ

Does a high AI search score guarantee a citation in AI Overviews?

No. Google decides whether an AI Overview shows at all, and says they often don't trigger. The score improves the odds that a page is easy to quote once it is eligible.

Is the AI search score the same as the SEO score?

No. They are separate on purpose. The SEO score rewards depth and keyword placement; the AI search score rewards a plain early answer and facts an engine can lift and attribute.

Do I need an llms.txt file to score well?

No. Neither llms.txt nor extra schema affects the score, and Google says AI Overviews and AI Mode need no special markup or files.

How do I raise a low score quickly?

Fix the cheapest checks first: add a summary section, an FAQ, two question headings and two outbound sources. Then rewrite the first paragraph so it answers the question and defines the subject in one sentence.

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