

Dashboard — your readiness score plus a first-party log of which AI agents and crawlers fetched your endpoints (no IP logging).
Agentimus makes your site legible to AI agents and crawlers — and shows you which ones actually read it. You get a first-party log of every AI crawler that fetches your content, one-click blocking for the bots you don’t want, and the machine-readable signals search engines and AI tools read today: a clean llms.txt, JSON-LD, markdown delivery, and AI-crawl controls. A one-screen readiness report scores how machine-readable your site is and what’s still missing.
This is AI readiness — sometimes called AI SEO, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization): publishing the machine-readable signals AI systems need to find, read, and correctly represent your site.
Underneath, it ties these together with a single, normalized discovery document at /.well-known/discovery.json — an open, standards-aligned map of your site’s identity, capabilities and APIs, and a reference implementation of that open convention, not a private format. This is more than an llms.txt generator: llms.txt is one signal among several, sitting under a coherent discovery layer rather than being the whole product.
It makes no outbound requests, collects no analytics, and logs no IP addresses. Everything runs on your own site.
Control — who may use your content
/.well-known/acme-challenge/ (SSL renewal) always stays reachable.Visibility — who is reading you
Content — clean, machine-readable output
.md to its URL (or, where your server allows it, with an Accept: text/markdown header).Identity & contact
sameAs) feed llms.txt and JSON-LD — the highest-signal lines for agent retrieval./.well-known/security.txt, so researchers and agents have a machine-readable way to report an issue.Readiness report
Machine discovery (forward-looking)
Agentimus also publishes a single, normalized discovery document, built to the conventions the agent ecosystem is converging on (the .well-known convention, A2A agent cards, MCP-shaped tools). It puts a site’s identity, capabilities and APIs in one predictable place:
.well-known endpoints — an RFC 9727 api-catalog, plus — only when the capability actually exists — an MCP server card and an Agent Skills index. Optional response signing (Web Bot Auth / HTTP Message Signatures, RFC 9421): sign the discovery documents with an Ed25519 key published at /.well-known/http-message-signatures-directory, so agents can verify they came from you. Off by default.What’s read today vs. what it readies you for
Honest framing: the content signals above (JSON-LD, robots, llms.txt, markdown) are read by search engines and AI tools today. The discovery document is forward-looking and standards-aligned — it prepares your site for AI agents as they adopt these conventions, rather than claiming every agent already reads it. The discovery format is an open, openly-licensed convention with a public reference, not a private one, and the plugin works fully whether or not anything consumes that document.
Why it’s useful
Most tools cover one slice — an llms.txt file, an AI-bot blocker, or structured data. Agentimus brings content control, agent-traffic visibility, clean machine-readable output and a forward-looking discovery document together in one coherent, lightweight package — and tells you what’s still missing.
Agentimus does not use, connect to, or send any data to any external or third-party service. Everything runs on your own site: it makes no outbound HTTP requests, loads no remote scripts, fonts or analytics, and stores the agent-activity log in your own database with no IP addresses.
The generated discovery documents contain a $schema value that names the document format (in the same way a schema.org URL identifies a vocabulary). It is a label inside the output only — it is never fetched.
The example URLs in examples/integrate-your-plugin.php (on example.com) are placeholders for documentation; they are not requested by the plugin.
There is no minified-only code. The admin interface is built from Vue 3 source in resources/ with Vite; the source and vite.config.js ship in this package and also live in the public repository at https://github.com/heera/agentimus . Run npm install && npm run build to regenerate assets/admin/ from source.