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chudi.dev

AI-Visible Web Architect · Berkeley, CA

Chudi Nnorukam

I build websites that AI systems can read, trust, and cite. Built for technical founders and content teams; chudi.dev is the public working model.

See the work Audit your site Free · No signup · 12-point AVR rubric

● Live self-audit · verified 2026-05-23 (live from /audits/latest_*.json snapshots) · AVR v1.1.0 · this site runs the rubric it sells →

Chudi Nnorukam

§1 · Selected work

Products, a framework, and the receipts.

All products →

Product · citability.dev

The AI-citation benchmark: measure whether ChatGPT, Perplexity, and Claude actually cite your site.

A 7-site audit showed domain authority has zero correlation with AI citations: citability.dev (DA under 10) hit a 15% citation rate while Ahrefs (DA 92) sat at 5%. The tool scores any URL against the same AVR rubric this site is built on.

15%citation rate vs 5% (DA 92)

Framework · AVR

AI Visibility Readiness

The 8-section audit rubric behind everything here. All 5 audited chudi.dev pages moved to EXTRACTABLE in under a day; CI blocks regressions on every deploy.

avr self-audit · chudi.dev
> avr self-audit v1.1.0
seo foundation pass
ai infrastructure pass
agent readiness agent-ready 3/3
fact-block density extractable 100/100
citation decay growing
> verdict AI-READY
How AVR is scored →

§2 · Writing

Three tracks. Pick one, start with its cornerstone.

Browse the blog →

§3 · The idea, in one paragraph

What is AI-visible web architecture?

AI-visible web architecture is the practice of structuring a website so it serves three audiences simultaneously: human readers through editorial design, large language models through machine-readable content surfaces (llms.txt, structured data, FAQ schema), and AI agents through callable tool interfaces (WebMCP, ai.txt). This site is the reference implementation.

Frequently asked questions

How do I run the AVR Framework on my own site?

Clone github.com/ChudiNnorukam/avr-pipeline, install scripts/requirements.txt, and run python3 scripts/run_audit.py YOUR_URL --skip-lighthouse --full-v11. The free audit covers infrastructure plus the three v1.1.0 sections at zero API cost.

Where is the full methodology documented?

The canonical AVR v1.1.0 framework page lives at /framework. It documents all eight audit sections, the three verdict tiers, the example output for chudi.dev, the v1.0 to v1.1.0 changelog, and the verified citation numbers behind every claim.

What is the difference between chudi.dev and citability.dev?

chudi.dev DEMONSTRATES AVR. citability.dev IMPLEMENTS AVR. The framework was authored on this site as a case study; the audit tool that scores any URL against the framework lives at citability.dev. Both sites land AGENT-READY 3 of 3 on Section 6 as of 2026-05-23.

Where do I see chudi.dev's own audit results?

The live JSON snapshot is at /api/webmcp/avr-self-audit?format=full. A walkthrough post sits at /blog/avr-v1-1-0-case-study-audit. The reproducible source files live in the avr-pipeline repo under sample-audits.

Who is the author and what is the operator stack?

Chudi Nnorukam is the AI Visible Web Architect. The operator stack is the AVR Framework on top of an AI-Visible Web Architecture pattern. The full bio with cross-platform sameAs links, affiliations, and Entity Authority Tier signals lives at /about.

Plain-language glossary: AVR, fact-block density, entity graph, crawlability

AVR
AI Visibility Readiness - a score for whether AI tools like ChatGPT or Perplexity recommend your site or skip it. See how it is scored →
Fact-block density
How much of your page is written as direct, citable answers an AI can extract and quote rather than background filler prose.
Entity graph
A structured map of who you are and what you cover, so AI systems can place you in the right knowledge context without guessing.
Crawlability
Whether AI crawlers can access, parse, and trust your content enough to include it in their training and retrieval pools.
Weekly dispatch

Subscribe once. Receive a better-oriented version of the site every week.

The newsletter follows the same editorial product structure as the site: systems for AI builders, security automation notes, and neurodivergent workflow design. The point is signal and continuity, not volume.

  • Claude Code and AI-product operating notes
  • Bug bounty automation architecture and validation lessons
  • ADHD systems design insights that hold up in real work

Segment: editorial-home