Structured data audit
Comprehensive review of schema markup, with prioritised recommendations for the gaps that matter.
The problem
Modern visibility is no longer a single ranking. Classical search engines, answer engines, and large language models each read your site differently. Found audits all three audiences, with prioritised fixes that improve coverage across them.
What it does
Comprehensive review of schema markup, with prioritised recommendations for the gaps that matter.
Checks whether your brand, people, and products are clearly identified and connected across the web.
A score for how easy your site is for large language models and answer engines to cite correctly.
The technical, on-page, and link signals that traditional search engines still rely on, in one report.
Join the waitlist for early access to the beta.
Frequently asked
Found focuses on the structured signals that both classical search engines and large language models use to decide what to surface. The audit covers schema, entity linking, and source attribution, alongside the classical signals you would expect.
A growing share of traffic and answer-shaping happens through systems that read structured data first and prose second. If your site is invisible to those systems, you are invisible in the answers they generate, regardless of your classical search ranking.
Yes. Found supports multilingual content and locale-specific structured data, including hreflang and locale-aware entity linking.
Found is in development. Join the waitlist on this page to be notified when the closed beta opens.