AIBuyerProbe: AI procurement recommendation probe

Helps B2B software vendors see how AI assistants recommend competitors under different buying questions

Problem

More buyers ask AI assistants like 'best help desk for a small business' directly, but answers change depending on question details. A community experiment ran 10 buying questions through 8 AI assistants and found specialist tools only surface when a real requirement is added. Vendors have no idea where their product gets mentioned and where it gets skipped.

Solution

Enter product details and target buyer personas, and the tool generates multiple realistic buying questions, queries AI assistants like ChatGPT, Claude, and Gemini in batches, then parses answers to mark where the product is mentioned, compared, or ignored. It outputs actionable suggestions, such as which feature comparison pages and review content to prioritize.

Users

Marketing and growth leads at B2B SaaS and vertical software companies, especially small teams that cannot afford continuous AI search monitoring.

MVP

20 preset buying question templates; user enters product name and competitors; batch queries via AI APIs; parse and show mention rate, rank, and competitor co-occurrence; weekly email report.

Revenue

Monthly subscription tiered by number of monitored questions and AI calls; one-off competitor comparison report as a paid lead magnet.

Why now

AI assistants are becoming a software buying entry point, but most small teams lack tools to track this new search channel. Indie developers can quickly build a lightweight probe and reporting service on existing AI APIs.