Quality — Structured, Fresh and Self-Demonstrating

The agent-readiness dimension that makes the rest verifiable — structured JSON-LD, freshness, retrievable markdown twins and self-demonstration.

What the quality dimension means

Quality is the agent-readiness dimension that makes everything else machine-verifiable. The other five dimensions tell an agent what you offer; quality is the evidence that the offer is structured, current and real. It is the Agents Welcome extension to the field's scored model — added precisely so a readiness claim is not a checkbox but a fact an agent or the Audit can confirm. Quality covers how structured your data is, how fresh it is, how cheaply it can be retrieved, and whether the site practises what it documents.

Signals and standards it covers

JSON-LD / schema.org — marking up entities so an agent extracts structured facts, including a DefinedTerm pattern that ties terms to their definitions.
Freshness — explicit recency signals such as a last_verified date on each record, so an agent can weigh how current a fact is.
Retrievable structure / markdown twins — keeping the cost of retrieval near zero with clean .md twins and well-formed structure an agent parses without effort.
Self-demonstration — the site implementing every technique it documents, so its own live artifacts are the proof.

How the Agent-Readiness Audit scores it

The Audit scores quality on whether your declarations are structured, dated and provable. The anchor check is quality.json_ld: it passes when a page ships at least one valid schema.org JSON-LD block — ideally an @graph binding the page's entities together. Companion checks confirm a present and recent freshness date, retrievable markdown twins, and consistency between what the site claims and what its live artifacts actually return. The pass criterion is verifiable by parsing the page and refetching the artifacts — the markup validates and the dates and twins are real, or they are not. This site demonstrates the dimension by shipping its own @graph JSON-LD and a published audit score you can verify live before trusting the advice.

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