How does user context influence AI recommendations?

Imagine two buyers asking ChatGPT the same question about the best CRM software.

One manages a startup with five employees and needs affordable software with a simple setup. The other works at a large enterprise that needs advanced reporting, security controls, and integrations with existing systems.

Even when both buyers ask the same initial question, their recommendations can differ if ChatGPT has access to these details through the conversation or available personalization settings.

This has an interesting implication for brands. Visibility can depend on how closely a product matches the requirements of the person asking.

A CRM provider might be recommended frequently for startups while another appears more often for enterprise buyers. Both could have strong visibility within their target markets.

When measuring AI search performance, should brands track recommendations separately for each customer segment?