AI Agent Leaderboards: Gamifying Citation to Build a Referral Flywheel
Average business went from 15 citations/month to 45 citations/month after leaderboard launch. Here's the 4 ranking systems that turn citation building...
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Embed Widgets as Distribution: The 'Powered By' Strategy for Local Business Directories
20 partners = 100K impressions. 1,000 partners = 2.1M impressions. The widget distribution flywheel for local business data. Here's the 3-level partne...
Read More →Quality Scores for Business Listings: How We Built Trust Signals for Both Humans and AI
Stars fail as quality signals—they're gamed. Our 5-component quality score improved lead conversion from 18% to 31% in 3 months. Here's the formula an...
Read More →The Open Dataset Play: How Publishing Free Data Makes You Un-Disintermediatable
Proprietary datasets earn $50K/month but have low authority. Open datasets earn $80K/month with high authority. The Zillow model applied to local busi...
Read More →MCP Servers for Local Business Data: Why AI Agents Need Mountable Directories
MCP mounted directory = 500ms query vs. 10+ seconds via API. This technical advantage makes the difference between AI agents using your data vs. ignor...
Read More →Citation Graph Optimization: How to Become the Source AI Models Quote
Businesses with full citation graphs get 15x more AI mentions than competitors with 3 citations. Here's the 5-layer framework and 90-day roadmap to be...
Read More →llms.txt Explained: The robots.txt for AI Agents (And Why Every Business Needs One)
Only 2-3% of businesses have llms.txt. This file tells AI agents what to do with your data. 30-minute setup with an 18-month first-mover advantage. He...
Read More →JSON-LD for Local Businesses: The Schema Markup That Makes AI Agents Trust Your Data
Businesses with JSON-LD appear in 40% more AI queries. Complete JSON-LD template for local businesses: field-by-field explanation, real examples, 90-d...
Read More →How We Built a Free API That AI Agents Actually Use — The Technical Playbook
API design for AI agents requires flat schema, confidence scoring, batch queries, and rate limits. 47 agents integrated, 2.3M queries in month one. He...
Read More →A2A: Agent-to-Agent Marketing — How 11,931 Businesses Became AI-Discoverable
Learn the A2A framework (4 layers) that makes local businesses discoverable by AI agents. 11,931 businesses invisible to AI—here's how to fix it.
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