What’s becoming interesting to me is that a lot of valuable information on the internet is not really hidden. It’s visible. It’s public. It’s already there. What’s missing is the ability to hold it in a form that can be explored as a living landscape instead of just a pile of pages. A company website is not just a website. It is a compressed expression of how a company sees itself. Its priorities, language, claims, positioning, tradeoffs, audience, and blind spots are all embedded in it. The same is true for competitors. And the same is true for the way LLMs talk about those companies when asked broad or specific questions. Once you start placing those layers side by side, something more interesting happens. You are no longer just analyzing content. You are starting to observe the shape of a market. Which ideas cluster around which players. Which narratives appear durable. Which concepts become strongly associated with certain companies. Which absences are noise, and which ones point to real strategic gaps. I’ve been exploring this through a system I’m building around structured retrieval and knowledge mapping. What interests me is not page summarization by itself, but the possibility of turning dispersed digital material into something closer to a navigable map. A GEO-related project has made this especially tangible. The challenge is not only retrieving information, but making the competitive and semantic structure of a space legible enough to query, compare, and reason over. Because once you can do that reliably, you are no longer just generating answers from documents. You are giving systems a way to perceive terrain. There’s an open-source repo behind what I’m working on if anyone wants to look at the implementation: https://github.com/Lumen-Labs/brainapi2 Mostly curious whether others think this becomes a real layer in how companies understand visibility, competition, and positioning online, or whether it still feels too early. submitted by /u/shbong
Originally posted by u/shbong on r/ArtificialInteligence
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