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SEO AI Regent exists because editorial teams now need to understand traditional ranking performance and AI retrieval readiness before publication, not after traffic or citations disappear.
The product keeps Content Score and GEO Score separate but comparable, so teams can discuss ranking and retrieval tradeoffs without inventing a new checklist for every draft.
The interface is shaped around writing, revising, and explaining score movement instead of burying teams in analytics surfaces they cannot act on.
Account access, billing, consent, structured data, and crawler-facing surfaces are treated as part of the product system.
We keep our status honest so the product matches the pricing page. Content Score, GEO Score, the editorial Action Rail, rank tracking, and citation monitoring are live today.
The scoring engine is deterministic and inspectable, and never uses your content to train AI models. To speed up re-scoring it caches a scored snapshot — your full text and scores — for 2 hours, keyed to your content; articles you create in a workspace are saved to your account so you can revisit and re-score them. Authentication and billing run on standard infrastructure.