Articles Agentic & MCP

Turning Claude, ChatGPT, and Cursor into Technical GEO Specialists with BHM-MCP

Instead of pasting fragmented prompts, Model Context Protocol (MCP) lets your AI assistant dynamically invoke Brian Ho’s verified technical skills and audit checklists.

Brian Ho · Founder & CEO, Brian Ho Marketing · 7 min read

When you ask a generic LLM to "audit my site for GEO", it typically regurgitates surface-level advice scraped from outdated blog posts. Brian Ho Marketing MCP (BHM-MCP) at mcp.brianhomarketing.com solves this at the protocol level.

1. How BHM-MCP Works

Using the Model Context Protocol (MCP) secured with Google OAuth 2.1, your everyday AI assistant connects directly to:

  • 28 Specialized Technical SEO/GEO Skills spanning all 12 technical layers.
  • The technical-geo-audit Orchestrator that guides your AI to diagnose bottom-up with verifiable evidence.
  • The 264-Point Audit Checklist & Knowledge Library distilled from 22 Singapore projects and 6 global markets.

2. Exclusive Benefits for Master GEO Students

Students enrolled in our Master GEO Course receive exclusive activation discounts on BHM-MCP: 50% off (VIP), 40% off (Advanced), and 30% off (Foundation).

Technical GEO · 10 min read

The 12-Layer Technical GEO Stack & 7-Step AI Search Funnel from Discover to Mention: Why You Must Audit Bottom-Up

Many teams rush to publish llms.txt or rewrite content while their WAF silently blocks OAI-SearchBot or critical pages rely on client-side JS. Here is why bottom-up engineering is mandatory.

Bot & WAF · 8 min read

AI Training Bots vs. AI Search Bots: Stop Accidentally Erasing Your Brand from ChatGPT

Many webmasters block all AI user-agents to protect training data, inadvertently blocking OAI-SearchBot and ChatGPT-User and wiping out their live search citations.

GEO Methodology · 9 min read

4-Entity Model, EEAT-A & Internal Wikipedia: Turning Your Site into AI’s Primary Grounding Source

On-page GEO differs fundamentally from classic On-page SEO. Instead of keyword density, you must engineer unambiguous entity graphs and an Internal Wikipedia structure.