We often hear the question, "Why do I get different answers in ChatGPT than in my Gumshoe report?" If you type the exact same question from your Visibility Audit (formerly known as a report) into ChatGPT (or another model) and get a different answer, you're not alone, and it's not an error.
The difference comes down to who is asking the question, and is the key reason Gumshoe uses Personas when prompting AI models.
Gumshoe is designed to simulate how your customers experience AI search, not how you experience it. That's why our persona-based testing often produces different results, even for the exact same question.
Your Visibility Audit is not about getting the "right" answer. It's about getting the answer your audience is likely to see.
Do models like ChatGPT have a built-in bias toward me?
When you ask a question in your own ChatGPT window, even in a "new chat," the model has prior knowledge of you as the user. It remembers past interactions, preferences, and behaviors (even if they're subtle).
That means:
- It may try to please or cater to your style, rather than simulate a customer's experience.
- It won't reflect the same biases and needs that your customers have.
- It lacks the controlled setup that Gumshoe provides to remove personal influence.
Why are Gumshoe's prompts persona-based?
Gumshoe doesn't just send generic prompts to AI models. Instead, we simulate real-world searches by assigning each question to a well-defined persona: a fictional but strategically crafted user who reflects your Ideal Customer Profile (ICP).
When a model receives a prompt from a persona, it considers:
- The persona's background, location, and interests
- The tone and intent of their question
- What kinds of brands, products, or services someone like that might trust
This influences how the model ranks answers and which sources it cites, just like it would in real AI-driven search experiences.