If AI agents can't understand your business, they can't recommend it.
AI agents are coming. Agent-Ranking scans your site, measures its readiness, and helps you become discoverable and understandable.
Publish an agents.json file and a discoverable OpenAPI spec so agents can find and use your site.
The shift is already underway.
- MCP is now governed by the Linux Foundation and gives AI agents a standard way to connect to external tools. Learn more
- OpenAI and Anthropic both support agents calling tools and taking action on external systems. Learn more
- Anthropic publishes a live llms.txt file linking hundreds of pages of documentation. See it live
llms.txt is still emerging, not yet a formal standard, but adoption is growing rapidly.
Run a free scan and see how your site looks to an AI agent.
If an agent can't understand your business, it can't recommend it.
Tap Agent on any card to see how AI agents interpret the same website through data, structure, and actions instead of design and visuals.
Persuasion-first hero
A rotating banner, a discount badge, and a "Shop now" button - all communicated visually. An agent can't read a percentage off a graphic, or know what "Shop now" actually does without a link it can already guess.
"name": "Example Electronics Co",
"auth": "api_key",
"actions": [
{ "name": "search_products" },
{ "name": "add_to_cart" },
{ "name": "checkout" }
]
}
agents.json - what an agent can actually do
Not "Shop now" as a button - a callable action with a name.
Price and stock, as an image
Price, discount, and stock level are all real data here - $1800.99, 29% off, 180 in stock - but they're rendered as styled page content, not exposed anywhere an agent could query them directly.
"@type": "Product",
"name": "Wireless Gaming Controller",
"sku": "WGC-2049",
"offers": {
"price": "59.99",
"availability": "InStock"
}
}
Product schema - price and stock as data
The same $59.99 and "in stock" from a product photo, machine-readable.
Categories as pictures
"Free shipping," "secure payment," and a full catalog of categories are all here - but again, as copy and icons. An agent evaluating this business has to guess at capabilities a machine-readable manifest would just state.
Company: Example Electronics Co
Summary: Consumer electronics - audio, smart home, gaming
Docs: https://example.com/docs
Pricing: https://example.com/pricing.json
MCP: https://example.com/.well-known/mcp
llms.txt - a plain-language summary
What the business is, and where to find everything else.
How it works
Submit your website. We analyze it, measure AI readiness, and deliver a plain-English report showing what's working, what's missing, and how to improve.
Scan & analyze
We crawl your site, API, and docs to check for structured data, MCP support, and clear pricing.
Score & report
You get a readiness score broken down by category, with every gap explained in plain terms.
Ready to see where you stand?
Get My Agent Readiness ScoreNot just for SaaS.
Any business that wants to be found and understood by AI agents.
See what a full evaluation looks like.
Browse a sample readiness report, or submit your own site to get started.
Agent-Ranking