Free agent readiness checker

What the agent readiness checker tests

GetVisus scores your page across six agent-readiness pillars: agent access (can AI crawlers and agents reach your content), machine-actionable schema, answer extractability, trust and identity signals, transaction integrity, and protocol interoperability (llms.txt and AGENTS.md).

This is different from classic SEO and even from AI citation checks. The question is not only whether an AI will mention you - it is whether an autonomous agent, acting for a real customer, can complete a task on your site without getting stuck or mistrusting your information.

Why agent readiness matters now

Agentic browsers - Perplexity Comet, and ChatGPT’s agent mode - can fill forms, compare options, and start checkouts for their users. As those agents pick which businesses to act on, sites that expose clear, machine-actionable signals win the task; sites that do not are skipped silently.

Most businesses have optimised for humans and, more recently, for AI answers. Almost none have prepared for AI agents. That gap is the opportunity: get agent-ready before your competitors and you become the default option an agent can safely act on.

What you get from the free check

You get a 0-100 Agent Readiness score, a per-pillar breakdown, and your highest-priority gaps in plain English. Where you are missing an AGENTS.md file, GetVisus generates one for you from your own site signals, ready to publish.

If you need the full implementation assets - schema, llms.txt, AGENTS.md, and answer-ready copy - the Fix Pack gives exact copy-paste fixes for one website. Visibility Monitor then tracks whether your readiness and citations move over time.

How to use this checker

Run the free audit on your homepage or your most important commercial page - the one an agent would land on for a ready-to-buy customer. Fix the pillars in order: access first (agents must reach you), then schema and answer structure, then trust and transaction signals.

Publish the generated AGENTS.md and llms.txt at your site root, add Offer schema with real prices and availability, and make sure your key facts are in machine-readable structured data, not just prose an agent has to guess at.

What this checker cannot promise

No checker can guarantee that a specific agent will choose or transact with your business. Agent behaviour varies by model, task, and the other options available at the moment of the request.

GetVisus gives directional evidence and concrete fixes. It makes your site easier for agents to access, parse, trust, and act on - it does not sell guaranteed agent transactions.

Frequently asked questions

• What is agent readiness?

  Agent readiness is how prepared your website is for autonomous AI agents - like ChatGPT agent mode or Perplexity Comet - to access, understand, trust, and act on it when completing a task for a user. It spans crawler access, machine-actionable schema, answer-ready content, trust signals, transaction integrity, and files like llms.txt and AGENTS.md.

• What is AGENTS.md?

  AGENTS.md is an emerging plain-text file, hosted at your site root, that tells AI agents how to interact with your site: the key entry points, the actions available, how to verify your identity, and how to make contact. It is the companion to llms.txt - where llms.txt summarises your site for indexing, AGENTS.md guides agents that take actions.

• How is agent readiness different from AI visibility or LLM SEO?

  AI visibility and LLM SEO focus on whether AI systems mention or cite you in answers. Agent readiness focuses on whether an autonomous agent can complete a task on your site - reaching it, parsing it, trusting it, and acting on it. The two overlap but agent readiness adds transaction and machine-action signals.

• Is the agent readiness checker free?

  Yes. The free audit gives a 0-100 score, a per-pillar breakdown, and your main gaps, plus a generated AGENTS.md where one is missing. Paid options unlock the full fix library or monthly monitoring.

• What should I do after the free check?

  Fix access first (make sure AI crawlers and agents are allowed), then add machine-actionable schema and answer-ready content, then publish llms.txt and AGENTS.md, and finally add Offer schema with real prices so buying agents can act with confidence.