generative engine optimization: how to dominate ai search — search2

Comprehensive cross-graph analysis of generative engine optimization: how to dominate ai search. Key facts, corroborated claims, sources from 9 knowledge graphs, knowledge gaps, and cross-graph signals.

Data Sources

Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).

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