What is agent readiness?
Agent readiness is how reliably AI agents can complete real tasks on your website, such as finding a price, comparing plans, adding a product to the cart or booking a demo, without a person stepping in. It is measured by sending agents to try those tasks and counting how often they succeed.
Why it matters now
More people ask an assistant to do the legwork: shortlist three CRMs, find running shoes under $120, book a cleaner for Friday. The assistant sends an agent to visit sites and act. If your site gets in its way, the agent doesn't complain. It moves on and tells its owner to buy elsewhere.
Readiness is more than files
Files like robots.txt, llms.txt and structured data help agents find and read your content. They are a good start. But readiness is about outcomes. A site can have perfect markup and still lose agents to a cookie wall, a price that only appears after a script runs, or a bot rule that treats every agent as an attacker.
How to measure it
- Pick the journeys that matter: pricing, plans, trial, cart, checkout, quote.
- Send more than one kind of agent, more than once. Agents differ and runs vary.
- Include a cold start, a browser with no cookies or history.
- Record where each agent stopped and what it told its owner.
- Run the same journeys on a competitor so the score has context.
That is what a GhostOwl scan does. The result is an Agent Readiness Score from 0 to 100 for each journey, next to each competitor.
What a good score needs
- Key information, like prices, in the page HTML rather than behind scripts or forms
- Popups and chat widgets that don't cover the content agents need
- Bot rules that let identified agents through
- Clear form errors and a short path to the goal