Maveriko

GEO: Generative Engine Optimization

GEO is the practice of structuring content so AI answer engines can read, trust and cite it. Where SEO earns you a ranking on a results page, GEO earns you a quotation inside the answer itself — and the two share a foundation but reward different things.

GEO is the on-page half of AI visibility. This hub covers what it is, how it compares to SEO, and how to audit a page for it — plus playbooks for SaaS, ecommerce and agencies.

SEO and GEO, side by side

The disciplines overlap on the technical basics and diverge on what counts as a win:

Traditional SEOGEO
GoalRank in the resultsBe quoted in the answer
Unit of successA ranking URLA citable passage
Trust signalBacklinksEntity authority, corroboration
Format that winsKeyword-relevant copySchema, direct answers, tables

The two halves of a GEO score

A defensible GEO score has an on-page half and an off-page half, because a flawless page from a brand no model recognises is still not recommended:

  • Page readiness — can an engine fetch this URL and lift a citable claim from it? Schema, structure, direct answers, crawler access.
  • Entity authority — does AI already know the brand exists, from Wikipedia, Wikidata and consistent public records? For recommendation questions, engines name brands, not URLs.

In Maveriko’s score the split is 60/40 in favour of the page, with the full weighting on the methodology page.

Read the cluster

7 guides, from the definition to industry-specific playbooks.

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