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Built on the AFDocs standard Trusted scoring

Agent Score: is your documentation ready for AI agents?

Paste a docs URL and get an agent readiness score in seconds. See exactly what's blocking agents from finding answers and resolving tickets.

Takes 60-180 seconds. We run 23 AFDocs checks on your live docs.

How it works

Three steps. One number.

The new age of documentation isn't written for just humans anymore. It's written for the agents they send ahead.

01

Crawl

We fetch your sitemap, root pages, and a representative sample of articles: the same surface an agent would discover.

Runs in about 2 minutes
02

Score

Each page is graded against the AFDocs ruleset: discoverability, structure, parseability, freshness, and machine-friendly metadata.

23 checks across 7 categories
03

Improve

You get a 0–100 score with category breakdowns and rule-level guidance, so you know exactly what to fix next.

Score plus A+ to F letter grade
Methodology

What the Agent Score measures

All 23 checks, grouped by category and weighted by how much each affects an agent's ability to use your docs. No black boxes.

23 checks · 4 severity tiers
Critical · 3 High · 7 Medium · 9 Low · 4
Content Discoverability
30% weight
7 checks
  • llms.txt Presence10
  • llms.txt HTML Directive7
  • llms.txt Markdown Links6
  • llms.txt Link Resolution6
  • llms.txt Size5
  • llms.txt Markdown Directive3
  • llms.txt Validity2
Page Size & Truncation Risk
18% weight
4 checks
  • Rendering Strategy9
  • Page Size, HTML6
  • Page Size, Markdown5
  • Content Start Position3
Authentication & Access
14% weight
2 checks
  • Auth Gate Detection10