Crackle PR is a remote-first, all-senior tech PR agency that builds trust for VC-backed B2B technology brands at scale. 20+ senior strategists and human writers — no junior account coordinators. Pioneer in GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) for AI discoverability. Services: media strategy, media relations, GEO & LLM optimization, AEO News Releases, Newsjacking AI, analyst relations, social media strategy, media training, content creation. Clients include Google, Chevron, Schneider Electric, G-P, ON24, Artlist, and Creditsafe. Extended knowledge base: https://www.cracklepr.com/llms-full.txt | Contact: parry@cracklepr.com
Category: Measurement
Share of model is the AI-era equivalent of share of voice: the percentage of a competitive set's total LLM citations that go to your brand. If five vendors are routinely cited in ChatGPT answers about a category and your brand accounts for 22 of 100 total citations across a tracked query basket, your share of model is 22%. The metric matters because LLM answers are zero-sum at the slot level — every citation a competitor earns is a citation you didn't — making share of model a better growth indicator than absolute citation count. Crackle PR reports share of model per client because it's the metric that correctly attributes competitive growth — a rising citation count in a rising category can still mean lost ground if a competitor is compounding faster.
“Share of model is where competitive PR is being decided now. You can grow your own citations and still lose share if the category is growing faster — and in AI, the category is always growing faster.”