AI answer visibility audits built for action

• Entity clarity: whether key pages consistently explain the company, product category, audience, and offer.
• Discoverability: whether descriptions, headings, documentation, and internal paths help crawlers find useful answers.
• Commercial and trust signals: whether pricing, contact, security, and policy information support confident recommendations.

Overall AEO compliance score: a current diagnostic of observed website signals.

The completed workspace report also includes dimension scores, prioritized findings, page-level evidence, and concrete remediation directions.

Full audit tasks can also produce a downloadable repair bundle so findings can move into an implementation workflow instead of remaining a dashboard-only result.

• llms.txt: a ready-to-publish description for answer engines and AI crawlers.
• Answer blocks: publishable answer blocks for common product questions.
• Entity summary: a publishable entity summary that keeps core product facts consistent.

Separate AI Visibility scans let signed-in users test selected model combinations. Usage is based on the selected model count, which is shown before the scan is submitted.

o-early currently works best for public SaaS websites, product marketing sites, and company websites. Marketplaces, communities, private applications, and large content platforms are not the primary supported scope.