While Gumshoe avoids introducing any bias that would favor Gumshoe or its customers, the reports are intentionally designed to reflect the same kinds of personalization and biases that users might encounter in everyday interactions with ChatGPT or other LLMs. Here are some reasons why we not only query models in the best way possible, but also do it better than our competition.
- API Connection: Gumshoe establishes a direct connection to each AI model via API, ensuring a controlled testing environment. Every conversation starts fresh with a new persona—no history, cookies, or account data. So results reflect the model’s behavior, not individual user bias.
- Personas: Personas are foundational to Gumshoe and what truly sets us apart. Instead of treating all queries the same, we ask AI models to respond through the lens of distinct customer types. We provide human details that the models would know about their users.
- Ongoing Academic Research: We continue to invest in research and value academic work, including contributions from our own team members. As part of this effort, we also query models through their native interfaces to ensure our results stay consistent with real-world responses.
Gumshoe reveals not just whether your brand is mentioned, but also who AI believes it resonates with, surfacing strengths and blind spots that no other tool can. The results are consistent, reproducible, and free from the inadvertent personalization layer that can be introduced in one-off AI interactions.