Measuring Share of Model (SoM): How to Audit Brand Citations Across Generative AI
Market IntelligenceAI Cited

Measuring Share of Model (SoM): How to Audit Brand Citations Across Generative AI

Step-by-step methodology for tracking, measuring, and reporting brand visibility across Perplexity, ChatGPT Search, Claude, and Google AI Overviews.

Insights · MARKET INTELLIGENCE

In traditional marketing, CMOs track Google Search Console impressions and organic keyword rankings. In a zero-click conversational ecosystem where 65% of enterprise research concludes without visiting a website, organic impressions fail to measure brand market share. The metric that governs enterprise growth in 2026 is Share of Model (SoM).

Defining Share of Model (SoM)

Share of Model represents the percentage of synthetic answers generated across frontier AI engines (ChatGPT Search, Perplexity Pro, Claude, Google AI Overviews) that cite your company as a primary authoritative solution for high-intent category prompts.

Share of Model = (Citations Awarded to Brand / Total Citations for Category Prompts) × 100.

Automating Prompt Evaluation Loops

In our live monitoring suite at Strata (/proof), we run automated daily testing matrices across 250 commercial buyer personas. Each test simulates an enterprise buyer evaluating solutions: varying prompt phrasing, geography, and technical constraints: to audit whether AI engines recommend our clients or competitor platforms.

Correcting Algorithmic Hallucinations

When monitoring reveals that an LLM outputs inaccurate pricing or obsolete architecture details about your product, traditional PR cannot fix it. You must publish counter-balancing structured documentation with verifiable cryptographic hashes on-chain, forcing the crawler’s next retrieval loop to update its internal semantic representation.

✦

Executive Reality: Brands with over 35% Share of Model in their category capture over 70% of inbound RFP invitations from Fortune 500 engineering teams.

Signal Delivery · Weekly
Receive the Signal.

One dispatch per week. No noise.