Building a GEO Benchmark Tool: What We Learned Polling LLMs at Scale
Blog post from Prismic
As language models like ChatGPT increasingly become a primary channel for discovering tools and services, understanding how brands like Prismic are represented in these interactions is crucial. To address this, a tool was developed to benchmark brand visibility in language models by repeatedly prompting multiple AI models and aggregating the results to identify consistent vendor mentions. This effort revealed the complexities of structured output and natural prompts, leading to a shift towards parsing conversational responses for more accurate insights. The tool, initially a curiosity project, evolved into a vital resource for Prismic's sales and marketing teams, offering real-time snapshots of brand positioning and enhancing client interactions by integrating into workflows for strategic conversations. Despite the associated costs, this tool provides valuable, albeit momentary, insights compared to comprehensive GEO tools that offer long-term tracking and trend analysis. The project exemplifies how experimental side projects can transform into essential business tools, highlighting the importance of flexibility and innovation in adapting to the evolving digital landscape.
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