AI Is Reshaping How Buyers Choose Vendors. We Decoded Exactly How.
We continuously run structured buying evaluations across ChatGPT, Gemini, and Perplexity to find the statistically significant patterns that shape which vendors get recommended, and which get overlooked.
The prevailing approach treats AI models like search engines: target specific prompts, create content that ranks. This addresses the wrong problem. The bottleneck with large language models isn't reach, it's persuasion. They've already read everything and they reason critically about what they've read. The challenge is convincing an intelligent system with infinite attention to recommend your product. We focus on understanding what evidence actually drives a model's perception of you and helping you adjust your strategy to speak to that.
Language models produce variable outputs by design. Asking the same question repeatedly won't reveal why one vendor gets recommended over another. Our methodology is built around statistical rigor: when perceptions shift, you can measure it and know what drove it.
Will Jack, Co-founder & CEO
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