EntityMap — Chudi Nnorukam

I build web systems that AI models can read and cite. The skill underneath is attention: I find what an AI assistant sees, or misses, about a site, then close the gap so the right pages get recommended. 5+ products shipped solo, concept to production in days. chudi.dev is the public, measured proof, and the home of AI Visibility Readiness (AVR), the framework I built to measure why AI cites you.

Both implications are codified in the harness-evolution framework I publish at chudi.dev/framework. If you are building a multi-agent substrate, that framework is the recipe.

I run two AI agents on the same work. Bud, a Convex-backed automation agent, handles my LinkedIn scheduling, blog calendar, and overnight browser jobs. Claude Code handles my dev work, content drafting, and codex maintenance. Until this date they had never written to the same place; their decision-histories sat in separate stores, invisible to each other.

AEO (Answer Engine Optimization) is optimizing your content to be found and cited by AI search engines like Perplexity, Claude, ChatGPT, and Google's AI Overview. Not traditional Google Search. The core insight: Google ranks pages by popularity; AI engines cite pages by extractability. Those are different problems requiring different solutions.

citability.dev (DA under 10) achieved 15% citation rate, outperforming Ahrefs at 5%. The three strongest predictors were answer-first content, dateModified schema, and original data.

I used the AI Visibility Readiness (AVR) framework to run infrastructure audits on 7 websites. Each site was checked for 10 signals that AI crawlers use to discover and parse content: robots.txt, sitemap.xml, answer-first content, content freshness, structured data (JSON-LD), meta descriptions, canonical URLs, HTTPS, heading hierarchy, and social sharing readiness.

Perplexity cites roughly 6.6 sources per answer; ChatGPT cites only 2.6. Only 12% of URLs cited by AI engines appear in Google's top 10. These numbers mean your Google ranking strategy and your AI citation strategy are nearly independent problems that require separate solutions.

After enough failed experiments, I started noticing what did work. If I can't see everything in one place, it doesn't exist. Nested folders and pages are where my tasks go to die. The best day I ever had with a task manager was when I kept everything on a single Notion page. No navigation. No "where did I put that?" No clicking through three levels of hierarchy to find my actual work. One screen. Everything visible. That's it.

Based on the audit data and corroborating research, three factors had the strongest predictive power. Pages where the direct answer appears in the first 100 words get extracted more often. Pages with dateModified schema receive 1.8x more AI citations than pages without. Domain authority had zero correlation with AI citation rates.