Rubric v2.3.0

How the agent-readiness score is measured

Every score is measured from public HTTP responses. Nothing is estimated, bought from a third-party dataset or generated by a language model.

What we score

One 0–100 core score every site is ranked on, plus opt-in packs scored separately

Scored on every website

Machine access: Whether a declared AI client is allowed in and gets the same page a browser gets.
Content legibility: Whether the words, headings and metadata exist in the HTML response itself.
Discovery surface: Whether an agent can enumerate the site and find a machine interface.
Identity & policy: Whether the site says who it is, and on what terms automated clients may use it.
Agent-facing performance: Whether the origin answers fast enough and small enough to be worth fetching.
Agent protocols: Whether the newer agent standards (Markdown negotiation, Content Signals, Web Bot Auth, API catalog, OAuth discovery, Agent Skills, DNS-AID) are in place.

Scored when the pack applies

Catalogue access: Whether the product and category paths themselves are open to crawlers.
Product data legibility: Whether price, availability and identifiers are readable without rendering the page.
Agent-commerce protocols: Whether an agent can transact through a protocol instead of a human filling forms.
Checkout traversability: Whether an agent can get from a product to a payable order.

What the paid AI monitor reports per tracked question and rival

Visibility: Share of measured answers that named your site. Answers are collected per question, model and market; each answer either names you or it does not.
Position: Mean rank among the entities the answer listed, averaged over answers that named you. Lower is better.
Sentiment: Tone of the answer toward your site, read at transcription on a -1 to 1 scale and shown as 0–100. Null when the wording gives no assessable tone.
Contest: How many distinct rival domains the answers to a question name, shown on a 1–5 scale. It is not a search-volume estimate — we do not report search volume.

What each grade band means for an AI agent
Grade	Score	What it means for an agent
A	90–100	Finds, reads and reaches checkout without special handling.
B	75–89	Usable, with gaps that cost you in comparisons.
C	60–74	Can read you, but will struggle to transact.
D	40–59	Significant blockers; most agent journeys fail.
F	below 40	Effectively invisible or closed to agents.

Wrong measurement? Email [email protected] for a re-scan, or remove the page.