How the audit score is built
One score out of 100 for the brand's site: how well AI models can reach and read it, and how sound it is, with AI readability counting most.
What it tells you
The audit score reads the checks run on the brand's own pages, in two parts. AI readability asks whether an AI model can reach the pages, understand them and quote them. Site health asks whether the pages are fast, secure, well built and usable. AI readability counts most: a page a model cannot read cannot be cited, however healthy it is.
How it is measured
- AI readability holds AI access and guidance, Indexability and crawlability, Structured data, and Metadata and on-page SEO. When the brand sells online, AI shopping joins it.
- Site health holds Performance and Core Web Vitals, Security and technical hygiene, Content quality, Links and resources, and Accessibility.
- Each area is scored from the checks that ran on it, and a more serious problem costs more.
- An area the run could not measure is left out of the score, never counted as zero.
- One critical problem anywhere sets the grade to Critical findings, whatever the number.
- Each report reads the latest finished audit of the brand's main site.
What moves it
- Fixing what blocks AI access first: it costs the most, and fixing it lifts AI readability.
- Then what makes a page hard to understand: missing structured data, titles and descriptions.
- Then site health: speed, security and broken links.
Seen in the app on: Technical Audit
See the score by area on the brand's site.Related guides
Still stuck? Contact support ›