Hub page

Agent readiness for public websites

Agent readiness means AI agents can find your canonical public pages, understand what matters, and move toward the next action without guessing. Use this hub to go from concept to concrete fixes.

Primary jobs
Discover, understand, act
Best next pages
Guide, compare, checklist
Product action
Run a live scan

Concept

What good agent readiness looks like

A site becomes more agent-ready when its important public pages are stable, linked, and easy to interpret. In practice, that means assistants can find one canonical source, verify trust, and see the next step.

One topic should map to one canonical page, not five overlapping pages competing for the same query.
Discovery files help, but only after the page architecture underneath them is clean.
Pricing, docs, trust, and product actions should be reachable without detouring through campaign or preview URLs.
The win is not only ranking. The win is reliable understanding and action.

Cluster

Move into the first cluster

Pick the page type that matches the question you are trying to answer.

Audit lenses

The four lenses that drive most audit decisions

Discovery signals
Can assistants find the right public entry points quickly?
robots.txt
sitemap.xml
crawlable links
Canonical understanding
Can they tell which page should represent the topic?
canonical tags
hreflang
stable URL families
Trust and proof
Is there enough proof to cite your pages with confidence?
pricing
legal pages
docs clarity
showcases
Action paths
Is the next step obvious once the site is understood?
clear CTA
contact path
product workflow

Related pages

Continue through the cluster

Next step

Turn the concept into a live audit

Do not stop at the concept. Use the guide, comparison, and checklists to sharpen your mental model, then run a fresh scan against the real public surface.