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Get an instant LLM visibility score and know exactly what to fix.

Compare 2 pages

Analyze two pages simultaneously and see exactly where you win, lose, or tie across every pillar.

Crawl your entire sitemap and get an aggregate LLM visibility score for every page.

Track your scores over time and measure the impact of your optimizations.

What questions people ask

Discover real questions people are asking about any topic, powered by AI.

AI Crawler Tester

Test AI crawlers against your pages and see who is blocked and who gets through.

llms.txt Generator

Generate a compliant llms.txt file that helps AI systems understand your site at a glance.

robots.txt Generator

Control which AI crawlers can access your content with a properly configured robots.txt.

JSON-LD Schema Generator

Build structured data markup that gives LLMs explicit signals about your content's meaning.

Meta Tags Generator

Generate complete, optimized meta tags including Open Graph and canonical for any page.

Connect Claude and other AI agents to the hey-eye analyzer and run visibility checks straight from the chat.

AI visibility insights, optimization strategies, and practical guides for LLM-ready content.

Guides, tutorials, and documentation for hey-eye.

Structural Integrity 30%

Title, headings, canonical, Open Graph, semantic HTML and language attributes.

AI Extractability 35%

JSON-LD schema, paragraph length, lists, date signals, internal links and breadcrumbs.

Content Clarity 15%

Sentence length, heading density and Flesch readability — with Greek language support.

Authority & Trust 20%

Author attribution, social profiles, image alt text, meta robots and robots.txt AI access.

What is Agent Readiness?

Agent readiness is how prepared a website is for autonomous AI agents that need to discover what it can do, not just read what it says.

Published Sep 5, 2026

Definition

Agent readiness is the degree to which a website exposes machine-readable descriptions of its capabilities, so autonomous AI agents can discover and use them without a human in the loop.

AI visibility asks whether a model can read and cite your content. Agent readiness asks something different: can an agent find out what your site can do, and then do it?

Why It Matters for AI Visibility

Crawlers read pages. Agents look for contracts. Before an agent interacts with a site, it checks a handful of well-known locations for structured declarations of endpoints, tools and permissions. A site that publishes none of them is not ranked badly in that layer — it is simply absent from it.

This is early, and most of the web has nothing. That is exactly why it is cheap to be visible now.

Example

hey-eye checks seven agent-readiness signals on every scan:

/.well-known/api-catalog          API catalog (RFC 9727)
/.well-known/mcp.json             MCP server card
/.well-known/agent-skills/        Agent Skills discovery index
/.well-known/webmcp.json          WebMCP declaration
/auth.md                          Authentication notes for agents
Accept: text/markdown             Markdown content negotiation
Link: HTTP headers                Discovery hints on the homepage

Each one is a small static file. Together they turn a readable site into a usable one.