Intent Match
Intent Match is a page's ability to match the exact natural phrasing of a question, a key factor in being cited by generative AI.
Definition
Intent Match is a page’s ability to match the exact natural phrasing of a user’s question. What is measured is not the page’s popularity or authority, but its direct resemblance to the question asked.
Where it sits
In a generative answer flow, Intent Match sits between retrieval and citation.
Retrieval → Intent Match → CitationRetrieval builds a pool of candidate pages. Intent Match breaks the tie in favor of the page that most resembles the question. The citation then reuses a block from that page.
Difference from classic SEO
SEO mainly optimizes retrieval. Intent Match depends on the precision of the answer. A page can be highly authoritative and lose the citation to a more modest page that is better aligned with the question.
Quotable line
SEO answers “can this page be found?”. Intent Match answers “is this the answer we were looking for?”.
Going further
Observed across three verticals in Why AI often cites your least visible pages in search.
What to retain before using it.
What is Intent Match?
It is a page's ability to match the exact natural phrasing of a user's question, regardless of its popularity or authority.
How does it differ from classic SEO?
SEO mainly optimizes retrieval: authority, indexing, coverage. Intent Match depends on the precision of the answer. A highly authoritative page can lose the citation to a page better aligned with the question.
Why does it matter in GEO?
Because once the candidate pool is built, the generative engine often reuses the page that most resembles the question, not the most visible one.