Analyze before you ship. Monitor after you do.
Pre-publish analysis
Paste a draft or a URL and see how an answer engine will read it, before it goes live. Catch what's holding it back while you can still fix it.
- Score a draft against the topic AI is answering
- See what a crawler would keep vs skip
- Fix structure, claims, and framing pre-launch
Post-publish monitoring
Once it's live, Content Analysis keeps watching: is the page still reachable, still cited, still winning the answer? Re-checks run as engines re-crawl.
- Continuous reachability & citation tracking
- Alerts when access or structure regresses
- Confirm a change actually moved visibility
Every page, scored on 8 checks
Five checks on the content itself, three on how it's published, one clear read on whether AI will cite it.
Strong fit for this topic
This article closely answers what people ask AI here, a strong candidate to be cited. Two content checks have room to improve before it's a lock.
Illustrative report, sample data.
Not a score you have to trust, evidence you can act on
What kind of page AI actually cites for this topic, and where yours fits.
The signals engines look for when they decide what to quote.
Add quotations and a comparison table, the fastest GEO wins here.
Every major AI crawler, checked against your robots rules.
How much AI already trusts the domain you're publishing on.
Every check ends in an action plan
No vanity score. Each finding becomes a prioritized recommendation you can send straight to Content Hub.
Content Analysis powers Diagnose and Verify
It finds what's holding a page back before launch, and confirms the fix actually moved visibility after, the two checkpoints that keep the loop honest.