Results from different AI content generation methods

This matches what I’ve seen too. AI content itself is not the problem. The problem is when the output has no structure, no unique angle, and no reason for Google to treat it differently from every other article on the same topic. The prompt chain matters because it controls the research layer before the writing layer. I’d rather have AI build from:

- SERP intent
- entity coverage
- real examples
- internal link targets
- product/service context
- a clear page purpose
- a human edit pass before publishing

The worst AI content is usually just “write me 1,500 words about X.” That creates generic filler. The better version is closer to a workflow: outline from SERP gaps, add first-hand context, include specific data/examples, then edit for usefulness. That is probably why two sites with similar stats can perform completely differently.

Couldn't have said it better, I don't do any human edit before I release it though, but the rest I 100% agree with
 
No sorry



The sites make $8000+ in total every month from affiliate marketing, could probably be more if I was added more affiliate links, but I try to not spam - I'm quite sure that could be the downfall of the sites :)
Which affiliate network are you using? Is it Amazon, clickbank, or some other?
 
because im same situation and my ai content keeps removing from serp

if u dont want to dhare what exactly prompts ur using

then you may just give some clue about it

It's not that simple sadly, it's a lot of prompts, different LLMs etc, maybe I'll find a way to share the tool here on the forum with a mod or experienced seller at some point, idk. But it won't have any purpose sharing a few prompts
 
interesting how different AI content generation methodscan produce very different outcomes In my experience the quality often depends less on the tool itself and more on how well the prompts and editing process are handled
 
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