Learn how we built a GEO benchmark tool by polling LLMs at scale to measure brand visibility across AI assistants like ChatGPT, Claude, and Gemini.

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Prismic built an internal tool to measure brand visibility across AI assistants like ChatGPT, Claude, and Gemini by polling LLMs at scale. The approach involves running identical prompts multiple times across different models using Vercel's AI SDK to get statistical patterns of brand mentions. Key learnings include avoiding structured output in favor of natural prompts for accuracy, handling provider-specific quirks, and understanding cost tradeoffs. The tool evolved from a marketing experiment into a sales enablement resource, generating prospect-specific GEO benchmarks before calls at roughly $0.50-1.00 per 120-prompt run.

Building a GEO Benchmark Tool by Polling LLMs at Scale

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