Built for teams that publish into two search systems at once.
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.
Canonical scoring language
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.
Editorial-first workflow
The interface is shaped around writing, revising, and explaining score movement instead of burying teams in analytics surfaces they cannot act on.
Launch-ready operations
Account access, billing, consent, structured data, and crawler-facing surfaces are treated as part of the product system.
What's live and what's on the roadmap?
We keep our status honest so the product matches the pricing page. Content Score, GEO Score, and the editorial Action Rail are live today.
- Live: Content Score and GEO Score
- Live: editorial Action Rail
- Paused: rank tracking
- Paused: citation monitoring
- Live: MCP server for AI agents, authenticated with an API key on every plan
- Roadmap: automatic CMS publishing (connections for WordPress, Webflow, Shopify, Ghost, Notion, and webhooks can be saved today; publishing prepares a draft payload you copy into your CMS)
- Roadmap: public REST API
How we handle your content
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.