Making websites AI-ready: Baseline Reference for Routing Evidence Map

Reader Decision: structure

As a baseline reference, Making websites AI-ready should establish the first reader decision and the core vocabulary. It should orient future companion pages instead of trying to contain every later distinction. The public teaching anchor is Making websites AI-ready with the artifact routing evidence map. The reader job is to audit whether agents can discover, negotiate, and crawl public routes without protected access. The first decision is to use structure as the visible problem and ai-ready as the check that keeps the lesson grounded. This page is distinct because it asks the reader to separate WAF friction, content negotiation, AI crawling directives, and llms.txt guidance.

What To Preserve: ai-ready

The strongest source signals are Executive Summary; Audit of UAIX’s Current AI-Readiness Content and Site Structure; Industry Standards and Best Practices; Structured Data and Schema; Agent-Specific Files and Protocols. Those signals are read before routing to public-knowledge/wiki-quality/routing-evidence-map, because category metadata is not allowed to write the article by itself. The specific pattern is: identify uaix, decide whether access changes the claim, and keep structured tied to reader action.

• Source lesson 1: structure sets the reader situation, ai-ready names the review concern, and uaix decides whether the lesson is distinct.
• Source lesson 2: access sets the reader situation, structured names the review concern, and schema decides whether the lesson is distinct.
• Source lesson 3: apis sets the reader situation, accessibility names the review concern, and standards decides whether the lesson is distinct.
• Source lesson 4: summary sets the reader situation, ai-readiness names the review concern, and audit decides whether the lesson is distinct.

Baseline reference test:

• Foundation check: define structure before adding companion distinctions.
• Scope check: use ai-ready to set the first public boundary.
• Orientation check: make uaix understandable without a prior article.
• Vocabulary check: preserve the core terms but leave later deltas for companion pages.
• Entry-point check: the reader should know what decision comes first.

• File role: baseline reference for Making websites AI-ready.
• Reader question: what first decision should a reader make before acting.
• Editorial move: define the initial public claim and remove platform-specific implementation detail.
• Boundary: do not treat the article as proof that the underlying workflow is active.
• Distinct vocabulary: baseline reference framing scope first-pass orientation combines with structure, access, and apis so this page is not interchangeable with a neighboring archive record.

What To Withhold: uaix

• Use structure to name the situation a reader can recognize.
• Use ai-ready to define what evidence belongs in the public article.
• Use uaix to decide whether the page is a new lesson or a duplicate.
• Use access to state what the page does not prove.
• Use structured to remove vague, dramatic, or repetitive wording.
• Use schema to keep the article useful without hidden context.

Reuse Check: public-knowledge/wiki-quality/routing-evidence-map

A good public version helps future contributors act differently: they can recognize the pattern, check the evidence, and avoid overclaiming. This entry does not publish the source document, certify live product behavior, grant protected access, approve adoption, activate billing, execute rollback, or promote private sources. The boundary for this file is: do not treat connectivity planning as proof that every agent route is live. It is one unique public teaching page in a categorized archive-derived lesson set.