GEO (Generative Engine Optimization)
Optimizing technical infrastructure, entity graphs, and content extractability so AI platforms (ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity) cite and recommend your brand.
12 Technical Layers (264 Checkpoints)
Brian Ho’s bottom-up engineering audit stack spanning DNS/TLS (L1-2), WAF/Bot Access (L3), robots.txt (L5), Edge SSR (L8), Schema/Entities (L10), llms.txt (L11), and MCP (L12).
7-Step AI Search Funnel
The 7 sequential gates every URL must pass to earn AI visibility: Discover -> Crawl -> Index -> Retrieve -> Ground -> Cite -> Mention.
Query Fanout & safe_urls
When a user submits a complex prompt, ChatGPT expands it into multi-hop sub-queries (Find -> Hone) and filters candidates down to ~6.7 safe_urls that drive 99.86% of citations.
EEAT-A & Internal Wikipedia
Extending Google’s E-E-A-T with Algorithmic/Agentic Verifiability and structuring first-party documentation as a high-density reference graph.
BHM-MCP (Model Context Protocol)
Brian Ho Marketing’s Model Context Protocol server (mcp.brianhomarketing.com) equipping Claude, ChatGPT, and Cursor with 28 specialized SEO/GEO engineering skills.
Reverse Thinking (Inversion / Via Negativa in GEO)
Brian Ho Marketing’s Inversion methodology: Instead of only asking "How do we rank?", we first eliminate the 4 structural failure modes that cause 90% of brands to be skipped by AI crawlers and excluded from ChatGPT safe_urls.