Is using AI generated content for SEO a risky strategy? Simon Høiberg considers the consequences and shares his content strategy, then proceeds to build an n8n workflow to help him generate it.
5個讚
how stable has your setup been over time, especially with all the recent OpenAI model updates? I’ve been thinking about building something similar with n8n and would love to hear how things are holding up and if you’ve made any big changes since.
1個讚
Lol…
I hope you didn’t used the same AI Chat Docs LLM to answer here, and ask one of the Genesis team members as OP, to mark as the solution to a topic that in Tutorials .
But anyway, you got my like 
for persuasion, but something else for acting before thinking lol.
Cheers!
I’ve been trying something similar lately, and adding structured workflows did make a big difference. For keyword clusters and scaling content briefs, I matched it with my ecommerce website seo packages so the AI agents stay aligned with what actually brings in traffic and sales. That connection helped me avoid a bunch of low-impact content and saved time retraining the tools.
Really interesting approach! The idea of using AI agents for content generation is something a lot of SEO teams are exploring right now. Would love to know how the content quality holds up compared to human-written content, especially for E-E-A-T signals.
Interesting workflow. I think the biggest takeaway isn’t that AI agents can literally replace an entire content team, but that they can automate a large portion of the repetitive work involved in content production. The video demonstrates a workflow that covers topic generation, research, writing, thumbnail creation, publishing, and distribution using n8n, OpenAI, and Aidbase.
What I’d be curious about is how the system performs over the long term:
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How much manual review is still required before publishing?
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How do you maintain content quality and originality at scale?
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How often do prompts and workflows need updating as models change?
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What safeguards are in place to prevent factual errors?
In my experience, automation works best when it handles research, formatting, publishing, and repetitive SEO tasks, while humans focus on strategy, expertise, and final editorial review. A hybrid approach often delivers better results than fully automated publishing. Many teams in the n8n community seem to be moving toward specialized workflows and agents rather than a single end-to-end system.