Methodology

How a site's Agent Readiness tier reflects the experience an AI assistant encounters.

Last updated: 4 October 2026

We assess whether your site can be discovered, understood and used by AI assistants. The method observes what an agent can actually find from the outside: it does not reward a promise, or an intention declared in an internal document.

A four-dimensional reading

  • Visibility — is your business presented clearly when an assistant arrives? We look for a summary, capabilities and understandable entry points.
  • Connection — can an assistant establish a reliable relationship with your services? We verify access and identity guidance, not just a displayed link.
  • Understanding — can your content be interpreted without ambiguity? We check whether useful information can be read without relying entirely on layout.
  • Access — can authorised assistants actually reach what you make available? Declared rules are compared with the response actually received.

What we measure

An audit makes 27 independent HTTP observations of the domain. Each observation answers one precise question — is an element present, readable, reachable or verifiable? — and keeps its result and context. A finding that is absent is therefore not confused with a page that could not be loaded.

  • 14 counted observations contribute to the tier because they currently provide genuinely discriminating information.
  • 12 diagnostic observations are measured and shown, but do not affect the tier: they add context without manufacturing easy points.
  • 1 control observation makes a small adjustment when AI crawler access rules are explicit, in either direction.

From finding to tier

Weights are not chosen because a standard is fashionable. They reflect a signal's measured ability to distinguish sites from one another. We also favour breadth: four clues concentrated on one axis are worth less than coverage spread across several dimensions.

A method calibrated on the real web
The boundaries were tested on a sample of 1,000 domains, then replicated on a second independent sample. Only eight domains reached the two highest tiers in the first panel: the top is deliberately demanding, not a box everyone ends up in.

The four tiers

TierWhat it means
Not readyYour site remains difficult for an assistant to discover or use.
Almost readyOne first element is in place, but the experience is incomplete.
Agent ReadySeveral dimensions are covered: the site is beginning to work for an assistant.
Fully optimisedThe experience is coherent across all assessed dimensions.

Why some findings remain diagnostic

  • A very common element cannot separate sites: counting it would give almost everyone an artificial floor.
  • An emerging element should not receive a weight before it has been observed often enough to be interpretable.
  • An ambiguous match is not proof: when a name can belong to several actors, we show the signal without turning it into a certification.

A measurement, not a promise

The tier is calculated from repeatable observations that can be compared across sites. It describes a technical surface at a point in time, not the quality of your business, and does not guarantee that an agent will complete every business journey. Commerce and performance are therefore measured in separate pillars.

Why the 0–100 score stays internal
We calculate a continuous measure to track fine-grained changes over time, but we do not show it yet. It has not reached the same validation level as the tiers and would suggest false precision. The published tier is clearer, more stable and more honest about what we actually know.

The limits we accept

  • An audit is still a snapshot: the measurement point, site availability and changing standards can affect the result.
  • Few sites currently reach the top; we do not claim to derive a universal law from them.
  • Thresholds and weights will be reassessed on a new panel as adoption of these conventions grows.

Method v1 is the current comparison baseline. Every important change should be documented, tested on real data and dated — so that a tier change remains explainable.

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