ai seo

AI SEO: from opportunity to measurement

AI SEO is not a separate mystery technique. Google states that AI Overviews and AI Mode rely on standard SEO foundations with no extra special requirements. In practice there are three steps: find opportunities using real Search Console queries and fixed AI prompts; improve pages so they are readable, answer directly up front and cite sources; and measure rankings, AI citations, visits and enquiries separately on a recurring schedule.

the 23SEOGEO team · Updated

Three-stage path: find, improve, measure

How it relates to traditional SEO

Crawling, indexing, helpful content and clear structure remain prerequisites. The difference is that answer engines more often lift passages directly, so a direct opening answer, complete sentences and verifiable facts matter more, and measurement gains a citation column. You do not need separate pages for AI, nor a special AI text file to be eligible for Google's AI features.

What data each step uses

What data each step uses
StageData usedKeep out
FindReal Search Console queries, fixed AI prompt recordsModel-expanded terms, unsourced volumes
ImproveBefore/after versions, readability checksUnconfirmed results or case studies
MeasureImpressions/clicks, citation retests, visits, enquiriesCounting contact actions as sales

Related questions

  • How do you do AI SEO?
  • How is AI SEO different from traditional SEO?
  • Which pages should change for AI SEO?

Common questions

Do I need llms.txt for AI?

Google says its AI features need no extra files. Whether other engines read it has no common standard; it is optional, not the main work.

Does a high GAS score mean citations?

No. GAS is a readiness diagnostic for finding fixes, not a measured citation rate.

How long does it take?

No promise is possible. Review at D+14 and D+28 and let real data decide next steps.

Sources

Topics and tools