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
LLM citation rate is the percentage of large-language-model-generated answers about a defined query set (typically buyer-intent queries in a brand's category) that cite the brand as a source. It is the central GEO measurement metric — analogous to share of voice in traditional PR or impression share in paid — and is tracked per engine (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews), per query, and over time. A healthy B2B tech program targets steady month-over-month lift on a stable query basket of 25–100 commercial queries. Crackle PR tracks LLM citation rate per client on a stable basket of 25–100 buyer-intent queries per engine (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews), reported monthly — it's the number the program is actually run on, not an add-on report.
“Impressions are vanity. LLM citation rate is the only number that tells you whether the AI layer thinks you exist.”