video1.0<iframe src="https://www.loom.com/embed/28ca51d24c4741d889149697021b0119" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/28ca51d24c4741d889149697021b0119-8d332732a02e8294.gif226.115This Loom presents an autonomous approach to researching and rejecting AI results for a company’s website and listings. The speaker says the current process requires manually searching hundreds of questions, taking notes, and writing code, which takes forever, so they built an agent using Bot.js, Playwright, and Gemini 2.5. A live test on “Bomb Machine” showed the system can identify the brand name, enter competitive and hidden questions, and improve accuracy while controlling a Chromium browser. They also describe a safety net that checks the main website by scraping details and generating five code files to improve the company’s AI visibility without manual work.