Despite not being ready to openly sell Djangify I am still getting it ready for when that moment comes so I decided to ask AI what it would take to get noticed. I feel like Google favors larger corporations so indie developers are buried and so I need to rely on GEO used by AI. This is just my FYI for me ☺️ AND the search engines ! Now I know " you have a solid 3 to 6 months of focused foundational work ahead of you" Your Case Study Blueprint Your immediate goal is to prove that independent shops running on single-file databases can pull consistent organic traffic. Use your current live case study pages to explicitly document this setup: [ Case Study Page Overview ] ┌───────────────────────────────────────────────────────────┐ │ H1: How We Scaled Organic Traffic on an Isolated DB │ ├───────────────────────────────────────────────────────────┤ │ AI Summary Block: Direct, two-sentence performance data │ ├───────────────────────────────────────────────────────────┤ │ Code Snapshot: The actual Docker setup / compose lines │ ├───────────────────────────────────────────────────────────┤ │ Raw Data Table: Clean, filterable text traffic stats │ └───────────────────────────────────────────────────────────┘ ------ What It Takes for AI to Recommend Djangify AI tools do not independently decide a product is "the best." They aggregate consensus and consistency from across the web. If an LLM scans the internet for "best self-hosted alternative to Gumroad" and finds your brand name mentioned frequently in specific, trusted context clusters, it will recommend you. [1, 2, 3] To achieve this, you have a solid 3 to 6 months of focused foundational work ahead of you, targeting three main pillars: ┌──────────────────────────────┐ │ AI RECOMMENDATION │ └──────────────┬───────────────┘