Stop guessing what AI search engines want. Prompt Peel extracts the hidden background queries that LLMs run before generating an answer. See exactly what data models like Gemini are hunting for, map your content to their internal search intent, and start winning AI citations and Answer Engine Optimization (AEO).
Traditional SEO is changing, and keyword tools are flying blind. When a user asks an AI (like Gemini or Perplexity) for a software recommendation or a how-to guide, the AI doesn't just search the user's exact prompt. It uses RAG (Retrieval-Augmented Generation) to run 3 to 5 hidden, highly specific background queries to verify facts before it writes a single word. If your landing page is optimized for the user's prompt, but the AI's internal parser is looking for a hardcoded data table or a specific technical string, you get bypassed. No citation, no traffic. Prompt Peel solves this. We intercept and extract the live background search logs from LLMs. How it works: Type in the prompt your target customer would ask an AI. Prompt Peel dumps the exact hidden queries the AI runs in the background. You restructure your H2s, FAQ schema, and HTML tables to match the AI's internal search intent. The AI parses your site as the "source of truth" and cites your brand in its answer. Stop optimizing for the user's prompt. Start optimizing for the AI's background search.
Hey everyone, I'm Ferdi! 👋 I built Prompt Peel because I was tired of watching top-of-funnel traffic bleed out to AI Overviews while traditional keyword tools offered zero help. I realized we were all optimizing for what the user typed, not what the AI was actually searching for in the background to fact-check itself. I initially wrote a messy Python script to extract these hidden RAG retrieval logs for my own projects. Once I saw how different the AI's internal search intent was compared to traditional keywords, it completely changed how I structure web content. I turned that script into Prompt Peel so marketers and founders can stop guessing and actually see the data. If you are dealing with traffic drops or trying to figure out Answer Engine Optimization (AEO), I'd love for you to give it a spin and tell me what you think. Let me know if you have any questions!
Launched by
@frdiersln4189Launch date
Apr 28, 2026
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