Scan history Scanned 2026-08-29 12:26 UTC
Result summary
Measured stable-core coverage
Score unavailable
Methodology 2026-08-29
22 core checkpoints assessed
- Find
- 0/0 passed
- Read
- 12/18 passed
- Act
- 1/4 passed
Readiness profiles Filter the detailed results by purpose
Select a profile to filter the detailed results.
Detailed results
Agent Protocols
Weight 15% · No applicable checkpoints · 5 bonus opportunities
Not assessed
Weight 15% · No applicable checkpoints · 5 bonus opportunities
AI Content Discovery
Weight 30% · No applicable checkpoints
Not assessed
Weight 30% · No applicable checkpoints
Security & Trust
Weight 15% · No applicable checkpoints
Not assessed
Weight 15% · No applicable checkpoints
Content & Semantics
Weight 20% · 2 failed, 3 partial
78/100
Weight 20% · 2 failed, 3 partial
AI Search Signals
Weight 20% · 4 failed checkpoints
47/100
Weight 20% · 4 failed checkpoints
Supplemental evidence AI visitor test and training exposure. The score does not change.
AI Training Exposure
Does not affect the readiness score
Supplemental
Does not affect the readiness score
No AI training protections detected. Your content may be freely used for AI model training.
Could not determine the latest Common Crawl index.
No training crawlers are blocked in robots.txt. All known AI training bots can access your content.
No TDMRep file found at /.well-known/tdmrep.json. The TDM Reservation Protocol (W3C) lets you declare whether you reserve text and data mining rights. See w3.org/community/reports/tdmrep/CG-FINAL-tdmrep-20240510 for the specification.
No ai.txt file found. ai.txt lets you declare AI usage preferences for your content.
No Web Bot Auth signature key directory found. Bots cannot prove their identity to origins via signed HTTP requests.
Next steps
Scan and fix from your editor. Install the MCP server to scan, and AI skills to fix.
claude mcp add isagentready-mcp -- npx -y isagentready-mcp
codex mcp add isagentready-mcp -- npx -y isagentready-mcp
gemini mcp add isagentready-mcp -- npx -y isagentready-mcp
docker run -i --rm ghcr.io/bartwaardenburg/isagentready-mcp
/plugin marketplace add bartwaardenburg/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.cursor/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.codeium/windsurf/skills/isagentready-skills
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.agents/skills/isagentready-skills
gemini skills install https://github.com/bartwaardenburg/isagentready-skills.git
git clone https://github.com/bartwaardenburg/isagentready-skills.git ~/.config/agents/skills/isagentready-skills
Request a detailed report Optional follow-up with a personalized PDF report
Get your detailed report
Receive a personalized report with actionable insights for improving your website's AI agent readiness.
- Detailed score breakdown per category
- Prioritized improvement recommendations
- Step-by-step implementation guide