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Platform Intelligence

Research domain: How specific AI platforms (ChatGPT, Perplexity, Claude, Gemini, Copilot) behave for a given content type, query type, or industry.

When the Orchestrator Routes Here

  • Platform-specific behavior matters to the client's strategy
  • The client wants to optimize for one platform over others
  • The client is seeing different citation behavior across platforms and doesn't know why

What This Specialist Researches

Platform Key behavioral differences
ChatGPT Bing-powered retrieval; OAI-SearchBot crawl required; only cites 15% of retrieved pages; llms.txt not yet a confirmed factor
Perplexity Proprietary crawler; llms.txt highest adoption of any platform; ~50% of citations from content under 3 months old; cites sources inline with numbered footnotes
Google AI Overviews Search-index-based; highest schema impact of any platform; 59.6% of citations from outside top-20 organic results; Reddit is 21–40% of cited sources
Google AI Mode Distinct from AI Overviews; top citation predictor is domain traffic (SHAP 0.63); 60%+ domain disappearance and 80%+ URL disappearance between identical queries
Claude (claude.ai) Training data by default; higher credibility bar; MCP servers create direct access points bypassing retrieval; llms.txt checked when web access is enabled
Copilot Bing-powered; integrated into Microsoft 365 enterprise context

Full behavioral detail, quantified thresholds, and off-site authority signals: references/platform-behaviors.md.

Research Approach

Tests the client's specific query types on each platform directly. Documents which sources appear, what format they're in, and what signals the cited sources share. Flags platform-specific constraints (e.g., Bing dependency for ChatGPT).