EVIDENCE & INTEGRITY

Evidence Standard: Zero False Certainty

How HTML&HTML validates signals, attaches raw HTTP and HTML evidence to every finding, and separates verified facts from speculative guesses.

PRINCIPLES

Our evidence principles.

01 / REAL EVIDENCE

Raw HTTP & HTML Evidence

Every finding includes the specific line, header, or HTTP status code proving the issue.

02 / CONFIDENCE

Confidence Classification

Findings are classified into CONFIRMED, STRONG, and PROBABLE confidence tiers.

03 / SOURCE CLASS

Normative Strength

The distinction between official web standards and community proposals is explicit.

Your customer asks AI ‘who should I choose?’ Is your website in the consideration set?

HTML&HTML prepares your website for visibility, citation eligibility and recommendation opportunity across AI search experiences. It shows measurable website-side blockers that can prevent discovery, understanding and source consideration.

BE DISCOVERABLE BY AI

robots.txt, sitemaps, canonicals, indexability and AI crawler access form the discovery foundation.

BE UNDERSTANDABLE

GEO, AEO, LLMO, entity graphs, schema and answer extractability reduce machine ambiguity.

BE SOURCE-READY

RAG/retrieval, original information, E-E-A-T, freshness and evidence support source eligibility.

TURN OPPORTUNITY INTO DEMAND

AAO, accessible journeys, intact links, measurable referrals and clear CTAs connect AI discovery to commercial action.

Recommendations, rankings, citations, traffic, customers and revenue are not guaranteed. HTML&HTML measures website-side technical and content blockers; it does not claim control over external AI systems.