Generative Engine Optimization vs SEO
Generative engine optimization vs SEO explained as retrieval vs reuse, with a practical model for teams that need rankings, citations, and attribution.
Insights on AI search optimization, content strategy, and citation tracking
Generative engine optimization vs SEO explained as retrieval vs reuse, with a practical model for teams that need rankings, citations, and attribution.

Learn a page-level way to measure citation attribution confidence so you can stop guessing which content changes worked.
A step-by-step workflow to instrument crawler access, citation detection, and AI-origin visits with page-level attribution.

A comparison of Semrush and Inflect for AI citation tracking and page-level attribution.

A practical guide to measuring LLM visibility across crawl activity, citations, AI-origin traffic, and attribution.

A practical workflow for optimizing existing pages so AI search systems can retrieve, cite, and send traffic from them.

A plain-English guide to GEO: what it is, how it differs from SEO, what makes content citable, and how to measure AI-origin traffic.
How Inflect v2.6 treats attribution as a cross-validated inference system, using multiple independent signals to accurately match citations to optimizations through consensus rather than single-signal dominance.