Metrics & measurement

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GEO audit readiness score

A GEO readiness score is a 0–100 summary of how well a site's technical signals support being found, parsed and cited by AI systems. It is derived from prioritized audit findings — crawler access, policy files, sitemap and metadata, structured data — with critical gaps penalized most. It measures technical readiness, not how often a brand is actually named in answers.

In plain terms

The audit inspects live page and policy signals such as crawler access, robots.txt, root-level llms.txt and ai.txt presence, sitemap and metadata signals, Organization markup, FAQPage markup, and visible FAQ alignment.

The score starts from technical readiness findings, not from how often the brand appeared in monitored AI answers.

A high audit score means fewer detected technical gaps. It does not guarantee indexing, retrieval, a brand mention, or a source citation.

Why it matters

A single score makes technical discoverability concrete and trackable across a team.

It prioritizes work: the biggest score gaps usually point to the fixes with the most impact on technical readiness.

How it relates to GetCited.me

GetCited.me's audit produces the readiness score, prioritized recommendations, and copy-ready policy or markup drafts. This is separate from the Overview AI Visibility Score calculated from monitoring data.

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Related terms

AI Visibility ScoreAn AI Visibility Score is a 0–100 composite of answer visibility, share of voice, citation breadth, and mention rate.CrawlabilityCrawlability is how easily bots, including AI crawlers, can access and parse a site's content.Schema markupSchema markup is structured data, commonly JSON-LD, that labels entities and page content for systems that choose to consume it.llms.txtllms.txt is a proposed Markdown file that gives compatible AI tools a curated map of a site's important content.

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