GEO
The Three AI Engines: Different Mechanisms
Gemini, Perplexity and Copilot cite content through completely different mechanisms - optimize for each.
🟦 Gemini (Google)
28.81% HK share and rising. Mechanism:
- Google Knowledge Graph + Business Profile
- YouTube captions / Key Moments
- Needs FAQ + Article Schema, E-E-A-T signals
Optimization focus: complete your Google Business Profile, YouTube channel captions, and structured data.
🟪 Perplexity
14.22% HK share; 85% of users are executives/decision-makers. Mechanism:
- Multi-source RAG (academic papers + Reddit + white papers)
- Favours data, long-form content, community signals
Optimization focus: write data-rich long-form content, build presence on academic/industry platforms, get discussed on communities like Reddit.
🟩 Copilot (Microsoft)
9.35% HK share. Mechanism:
- Bing index + Prometheus
- B2B case studies, white papers, PDF
- LinkedIn data integration, Bing Business Profile
Optimization focus: optimize Bing indexing, publish PDF/white papers, complete your LinkedIn company page.
📊 No one-size-fits-all
Each engine works differently, so GEO needs multi-engine distribution:
- Create core content (article/video) once
- Top up per engine: Schema for Gemini, data for Perplexity, PDF for Copilot