I went live today and learned a new way to find out which communities have key words in there about pages and also how to structure the 11 key words for skool's internal search, I'll paste the summery here. If you are running a community on this platform, you need to understand that your digital infrastructure is serving two completely different discovery engines at the same time. The biggest operational leak I see right now is treating Skool's internal algorithm and Google's external index as the same thing. Google crawls the public-facing text on your About page to capture wide-net external leads, while Skool’s internal engine relies on a strict set of backend metadata tags to recommend your group to logged-in users. Optimizing for one does not automatically optimize for the other, which means if you aren't feeding both algorithms what they specifically require, you are actively leaving monthly recurring revenue on the table. To audit the external engine, you can bypass traditional scraping and run a rapid diagnostic using Google's site operator. By typing site:skool.com "your niche" -"missing keyword" into Google, you can instantly x-ray competitor About pages to see who is failing to use high-intent, problem-solving phrases in their public copy. Google needs these long-tail, conversational keywords woven directly into the paragraphs and headlines to index the page for organic web traffic. Finding these keyword gaps in other communities gives you the exact blueprint for what your own public copy should be targeting to capture external search intent. Once the external copy is locked in, you have to capture Skool's internal traffic by properly structuring the 11 backend discovery keywords in your community settings. Do not just type random words or use hashtags; you need to build a structured allocation matrix. Assign your slots logically across Macro identifiers (broad industry terms), Tool/Format identifiers (specific skills or software), High-Intent outcomes (monetization goals), and Proprietary terms (your brand name). When inputting these, you must separate each exact-match phrase with a comma so the system registers it as a distinct tag. Skool's algorithm favors clarity and repetition, so ensuring your highest-value tags from this matrix are also repeated in your group title and short description is the ultimate lever for ranking number one internally.