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v1.1.0 · 2026-04-05

AVR Framework

AI Visibility Readiness — a transparent, tiered audit methodology for measuring whether your site is readable, recommendable, and citeable by traditional and AI-powered search systems. Every check ships with an evidence label.

Evidence tiers

We do not invent scores for things we cannot measure. Every check in the framework is tagged with how much you can trust the result.

[VERIFIED]

Objective, reproducible, backed by a free API or CLI tool. Anyone can run the check and get the same result.

[BEST-EFFORT]

Measurable in a point-in-time sample but varies by session, query phrasing, and platform state. Confidence labelled explicitly.

Four sections

§1

SEO Foundation

[VERIFIABLE]

The baseline AI search systems depend on. If organic search cannot find you, AI search never sees you.

  • Core Web Vitals
  • Technical Crawlability
  • Schema Validation
  • E-E-A-T Signals
  • Content Depth
  • Internal Link Graph
§2

AI Infrastructure

[VERIFIABLE]

The AI-specific files that declare your intent to crawlers: llms.txt, ai.txt, .well-known/llms.json, AI-crawler allowlist in robots.txt.

  • robots.txt (9 AI agents)
  • llms.txt
  • ai.txt
  • .well-known/llms.json
  • Organization + Person schema
  • Open Graph images
§3

Citation Monitoring

[BEST-EFFORT]

Does AI link to your URL when asked about your topics? 20 queries across ChatGPT, Perplexity, Claude. Single rounds are LOW confidence.

  • 5 brand queries
  • 5 topic queries
  • 5 long-tail queries
  • 5 competitor queries
  • Citation rate per platform
  • Trend over rounds
§4

AI Visibility

[BEST-EFFORT]

Does AI know you exist and recommend you? Brand recognition + concept attribution + recommendation signals.

  • Brand recognition (17 queries)
  • Concept attribution
  • Recommendation rate
  • Invisible vs barely-visible gap

Three-band verdict

The framework collapses into one of three tiers. No fake composite score — just the honest read on where the site lives today.

AI-READY

Section 1 PASS + Section 2 PASS + measurable citations (>0% per round)

FOUNDATION-READY

Section 1 PASS + Section 2 PARTIAL. Infrastructure mostly in place; gaps in llms.txt or schema.

NOT-READY

Section 1 FAIL or Section 2 FAIL. AI infrastructure is upstream; foundation must come first.

Example output

chudi.dev's own AVR run at the time of writing — shared publicly because transparency is the point.

chudi.dev — AVR v1.1.0
Section 1: SEO Foundation 6/6
Section 2: AI Infrastructure 9/9
Section 3: Citations (round 1) 0/20
Section 4: Visibility 5/17
> Verdict AI-READY (stretch)

Why this exists

After spending 106 hours and $10K on AEO infrastructure that produced zero AI citations, the lesson was clear: the infrastructure was correct — the SEO foundation underneath it did not exist.

The framework enforces the right order: foundation first, then AI readiness, then live AI testing. Running visibility tests before the foundation is in place is premature.

Run the framework

The tool powering citability.dev runs AVR against any URL. Free scan = 12 infrastructure checks. Full audit = 4 sections.