How good are your docs, really?
Answer a few questions about your documentation. Our models read it the way an LLM, an agent, and a first-time developer would, then score it across six dimensions and show you where it wins, where it leaks, and what's missing.
The name developers would type into ChatGPT when they're evaluating you.
The URL a developer lands on. We'll read what's publicly reachable there.
So we benchmark you against the right neighbours.
One line. Backend engineers integrating an API reads very differently from data scientists.
Optional. Pick any that worry you. It won't bias the score, it just sharpens the read.
You'll see the score on screen now. We email the full findings + evidence log.
Scanning your docs
Reading every page we can reach.
starting
Scored on
- Coverage · 25%
- AI readiness · 20%
- Navigation · 20%
- Freshness · 15%
- Findability · 10%
- Consistency · 10%
Scan stopped
We could not read enough to score it.
requested
Usually one of these
Nothing was stored against your email and no report was sent. Still stuck? Ask us to read it by hand.
Please recheck the URL
This does not look like a documentation site.
you entered
Docs usually live at
Sure this is the right page? Ask us to read it by hand. We will tell you what we see.
Now get the audit that fixes it.
This score is a fast, directional read. A full paperkraft audit goes page-by-page across your whole docs set, with evidence for every finding and a prioritized fix plan we can ship with you.