Show HN: Reverse engineering user queries for ChatGPT/Gemini (github.com)

An innovative open-source tool has been developed to reverse engineer user queries for ChatGPT, Gemini, and Google AI to help e-commerce brands gauge their visibility in AI-driven shopping. As AI assistants increasingly drive consumer purchasing decisions, this tool provides crucial insights by revealing how a brand performs in response to common high-intent queries, such as “best running shoes for flat feet” or “where to buy an espresso machine under $500.” It generates a client-ready PDF report detailing key performance indicators, competitor analysis, and actionable recommendations regarding what queries brands are missing and how they can improve their standing. This tool is particularly significant for the AI/ML community as it addresses a growing need for brands to understand their position within the AI-assisted shopping landscape. It offers an accessible audit feature that integrates easily with various e-commerce platforms and includes advanced capabilities such as sentiment analysis and a dashboard for real-time visibility. By making it simple for brands to identify their relevance across different AI platforms and to see which competitors are being favored, this tool empowers retailers to strategically enhance their online visibility and optimize their product recommendations in an increasingly AI-centric market.