Every signal AI uses to pick who to cite — scored and fixable.
AI engines decide who to cite from concrete, checkable signals. Seencite audits all of them — can the retrieval bots even reach you, is your schema and entity data complete, is your content extractable, does it render — and scores you 0–100 with a fix for every failing check.
Crawler access first
If retrieval bots (PerplexityBot, OAI-SearchBot, Claude-User) can’t fetch your pages, nothing else matters. We check it live and flag silent WAF blocks as critical.
Schema & entity
Organization and Article JSON-LD, sameAs, @id — the entity signals that let AI trust and disambiguate you. Missing ones become one-click fixes.
Extractability
Answer-first openers, specificity, tables and lists — the formatting AI actually lifts into answers, scored per page.
Weighted 0–100
Crawler 30 · render 15 · schema 20 · extract 25 · entity 10 — a prioritization score that tells you what to fix first, honestly labeled a prioritization tool, not a prophecy.
An audit that ends in a deploy
Most audits hand you a PDF of problems. Here every failing check carries a generated fix you can ship in one click — and re-running the audit shows the realized score change. The loop closes.