Agent Readiness Checker — User Guide

What is Agent Readiness Checker?

Agent Readiness Checker analyzes how well your website serves AI agents like ChatGPT, Perplexity, Claude, and autonomous systems. The tool scans 7 critical areas and provides a holistic agent readiness score with AI-powered recommendations for improvement.

AI agents read the web differently than humans. They look for llms.txt, AI Plugin Manifest, structured data, markdown content negotiation, and semantic HTML. Without these signals, your content is invisible to the growing agent economy.

Versions

Version	Access	Cost	What you get
Free (Lead Magnet)	`/resources/agent-readiness`	Free (email required)	Basic scan with per-category scores
Paid (Full)	`/app/tools/agent-readiness-checker`	15 credits	Full scan + AI-generated recommendations

How to use the tool

1. Fill in the form

URL: The web address you want to analyze (e.g. "https://example.com")

2. Start the scan

Click "Scan website". The tool runs 7 real HTTP checks:

llms.txt — Checks whether /llms.txt exists (the new standard for telling AI agents what your site offers)
Structured data — Parses HTML for JSON-LD, Schema.org, and OpenGraph metadata
robots.txt AI policy — Analyzes whether AI crawlers (GPTBot, Google-Extended, Anthropic, PerplexityBot) are allowed or blocked
AI Plugin Manifest — Checks whether /.well-known/ai-plugin.json exists
Markdown support — Tests Accept: text/markdown content negotiation
API endpoints — Looks for /api/, OpenAPI/Swagger documentation
Semantic HTML — Evaluates use of <article>, <section>, <nav>, heading hierarchy, and <main>

The scan typically takes 10–30 seconds.

3. Read the results

Overall score

Score: 0–100 points with letter grade A–F
Color indicator: Green (A–B), Yellow (C), Red (D–F)

Category scores

Results are grouped into 4 categories:

Category	Checks
Discovery	llms.txt, AI Plugin Manifest
Structure	JSON-LD, Schema.org, OpenGraph
Content	Markdown support, semantic HTML
Access	API endpoints, robots.txt AI policy

Each category shows:

Passed (green checkmark): Check is OK
Partial (yellow warning): Found, but with gaps
Not found (red cross): Missing entirely

Recommendations (paid version only)

AI-generated, prioritized recommendations to improve agent readiness. Each recommendation includes:

What you should implement
Why it matters for AI agents
Expected impact on visibility

What is llms.txt?

llms.txt is a new standard (similar to robots.txt for search engines) that tells AI agents about your website's capabilities. It contains:

Name and description of the service
Available endpoints and APIs
Content formats and languages
Contact information

Learn more: llmstxt.org

Scoring model

Score	Grade	Meaning
80–100	A	Excellent — site is well prepared for AI agents
60–79	B	Good — some gaps, but solid foundation
40–59	C	Average — several important elements missing
20–39	D	Weak — site is poorly prepared for agents
0–19	F	Critical — AI agents find almost nothing

Tips

Create an llms.txt file at your domain root as the first action
Add JSON-LD structured data to all important pages
Don't block AI crawlers in robots.txt unless you have a good reason
Test markdown content negotiation by returning text/markdown when the Accept header requests it
Re-run the scan after changes to see the improvement

Credits

Free version: No cost (requires email registration)
Paid version: 15 credits per scan (includes AI recommendations)

Technical background

The tool makes 7 real HTTP requests to your domain — no data is simulated. The requests are passive and harmless to your website or server. The paid version uses Gemini AI to generate tailored recommendations based on scan results.

Last updated 2026-04-09

Open the tool