How to audit whether ChatGPT recommends your dev tool over competitors (step-by-step, 2026)

A practical, step-by-step audit for dev tool makers: build the right prompt set, run clean tests, map citations, benchmark competitors, and avoid the platform-change traps that make audits lie.

Key takeaways {#key-takeaways} - ChatGPT cites roughly 5 sources per web-search-enabled response, so a recommendation audit measures who occupies a very short list. Your Google rankings tell you almost nothing about it: only about 12% of URLs cited by ChatGPT, Gemini, and Copilot also rank in Google's top 10 for the same prompt (Ahrefs). - Audit in fresh, logged-out sessions. ChatGPT's memory and chat history can bias which competitors appear, and only about 46% of queries even trigger a live web search. - Record four things per prompt: whether you're mentioned, where in the answer, the sentiment, and which sources got cited. The cited sources are your entire action plan. - Before concluding you lost visibility, check the calendar. The GPT-5.3 rollout (March 4, 2026) cut average citations per ChatGPT response by about 27%, and Reddit's citation share collapsed from ~3.8% to 0.5% in mid-August 2026. Both are platform changes, not competitive losses. - Manual audits work fine quarterly. For ongoing tracking, tools like Promptwatch, Otterly.AI, Profound, and Peec AI automate the same methodology across models. --- Developers ask ChatGPT which tools to use now. That's the whole reason this audit exists. Someone on your team types

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