🔍 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗺𝗼𝗿𝗲 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝘄𝗵𝗲𝗻 𝗼𝘁𝗵𝗲𝗿𝘀 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝗼𝗻 𝗶𝘁. Over the past few weeks, we’ve been analyzing ChatGPT’s retrieval system to better understand what happens between a prompt and the sources that end up in an answer. Metehan Yeşilyurt discovered a retrieval leak that gave us access to new information about this process. We used the data to identify 𝘁𝗵𝗲 𝘀𝗲𝗮𝗿𝗰𝗵 𝗲𝗻𝗴𝗶𝗻𝗲𝘀 𝗯𝗲𝗵𝗶𝗻𝗱 𝗖𝗵𝗮𝘁𝗚𝗣𝗧. 🔎 The data contains internal engines, external providers, and dozens of Labrador variants for areas including Reddit, news, finance, legal, medical, local search, images, and more. We’re making the full list available for everyone to explore. 🌍 As the GEO Research Team at Peec AI, we want to make these systems easier to understand, share what we learn, and give others data they can test and build on. There are still many unknowns in the data. Some engines don’t have a clear purpose yet. We’re also continuing to test which engines are triggered for different types of queries and how frequently they are used. This is where more people looking at the data can help. 🧩 If you can identify one of the unknown engines, reproduce when a specific engine is triggered, or find something we missed, let us know. 𝗧𝗵𝗲 𝗳𝘂𝗹𝗹 𝗹𝗶𝘀𝘁 𝗶𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗯𝗲𝗹𝗼𝘄. 👉 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗳𝗶𝗻𝗱. Tomek Rudzki · Metehan Yeşilyurt · Jan Ehrlinspiel · Malte Landwehr GEO Research Team @ Peec AI linkedin.com/pulse/complete-…