Content Generator

Comments

• Sven www.GSA-Online.de

  October 22

  Why not giving GSA Content Generator a try?
• nysportsworld

  October 23

  Will do thx
• spintax Belgrad

  November 9

  nysportsworld said:

  What is the best content generation method for GSA Search Engine Ranker (GSA SER)?
  Trying to create Tier 1 links 
  I have tried chat gpt but articles have unique titles but text is all the same.

  If you'd rather keep the LLM in the loop: "different titles, same text" is what you get when you ask a model for many articles. It rewrites one skeleton over and over. What fixed it for us was letting the LLM write templates, not articles, and rendering those locally in spintax.

  
  

  How we prepare the content:

  - 3-4 templates per campaign, each with its own structure (sections, a checklist, Q&A, an FAQ at the end). Most of the sameness is structure, not wording.

  - Variants at the sentence and paragraph level, not synonyms. Rendering is local, so each article costs nothing.

  - A pool of 1000 articles per campaign, checked before SER sees it: near-duplicates, phrases repeated across too many articles (footprint), and how many articles share one shape. When a pool gets stale, add a new template, since re-rendering an old one doesn't dilute the footprint.

  - SER reads the pool from a folder: the project has one article whose body is %spinfolder-D:\pool\campaign%, and %link% inside the files still resolves. Rebuild the folder and the next submit uses the new pool.

  - Project fields (signature, comments, descriptions) go out with every submit too, so count how many variants they really produce. One of ours had 8.

  
  

  We're putting the whole process into a full guide for the community, from writing templates to verified links on live SER projects, with what we measured along the way. I'll post it here when it's ready.

  
  

  P.S. For writing and checking templates we use Spintax Studio (free, Windows; disclosure: we make it), but any spintax editor works for this.