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AI Visibility Engineering
System track

SEO optimizes for rank. Answer engines optimize for citation-worthiness.

This track is the engineering playbook for the second game — entity coherence, schema specificity, originality signals, and the measurement loops that show whether ChatGPT, Perplexity, and Google AI Overviews are actually citing you.

Guided track Machine-readable 16 foundational, tactical, and case-study notes

Why this cluster exists

SEO optimizes for rank. Answer engines optimize for citation-worthiness. This cluster is the engineering playbook for the second game, sized for operators — not enterprise SEO teams.

System object

retrieval lattice

Best for

content engineers and sub-DR-20 operators engineering for AI citations

16 foundational, tactical, and case-study notes

Start here

The best first read in this track.

Open the guide

Core journey

Read these in order if you want the strongest mental model.

Applied / adjacent

Supporting angle

Not every important idea belongs in the main reading path.

Use the supporting pieces to deepen the model, test tradeoffs, and connect adjacent ideas without losing the main narrative.

Recommended next

How to Get Perplexity and ChatGPT to Cite Your Website

Step-by-step guide to make your content visible in AI search engines. Includes robots.txt, structured data, and content format optimization.

Related tools and products

Audit your citability

Run the citability.dev scorer on any page to see what AI engines actually extract, cite, and miss.

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