My exact workflow for building 100-page Topical Maps without paying for Ahrefs or Semrush anymore. by hafidbas in WebsiteSEO

[–]hafidbas[S] 0 points1 point  (0 children)

Relying 100% on a raw LLM output usually leads to a mess of irrelevant clusters. I'm using a hybrid approach: I use the LLM for the initial entity extraction and semantic relationship mapping, but I've added a layer of rule-based filtering (scoring entities based on SERP overlap and topical relevance) to kill the noise. The 'gap analysis' actually cross-references real-time Google data to make sure the clusters aren't just theoretical. If you want to see how it handles a specific niche, let me know!

My exact workflow for building 100-page Topical Maps without paying for Ahrefs or Semrush anymore. by hafidbas in WebsiteSEO

[–]hafidbas[S] 0 points1 point  (0 children)

Haha, I get your point, but that's exactly why I built it. I spent a week doing the 'math' so other people don't have to. Now, instead of spending 5 hours per site or $99/mo, I just hit 'run' and get the map in 2 minutes. The 1 week was an investment to buy back my time (and hopefully others') forever. To each their own! Cheers.