SEO people: what would you automate after finding a page’s biggest problems?

I’m interested in the gap between an SEO audit and actually fixing the site.

It’s easy to produce a list of recommendations. Someone still has to prioritise them, rewrite pages, implement technical changes, create supporting content and measure whether anything improved.

I’m not claiming the AI replaces a technical SEO audit or guarantees rankings. I want to understand where this workflow could save professionals real time.

If you work in SEO, what would you want an AI-generated fix list to include before you’d hand it to a developer or client?

Would you prioritise:

• Evidence and affected URLs
  
• Impact and effort estimates
  
• Specific implementation instructions
  
• Ready-to-edit content
  
• A developer-ready ticket
  
• A way to get the fix implemented and reviewed

Practical criticism from people who do SEO for clients is exactly what I’m after.

 

I’d want the exact URLs, clear priorities, and dev-ready instructions first. Also, if you're testing updated content before organic traffic picks up, platforms like MGID can be another way to get it in front of people, just keep paid and organic results separate when measuring the impact

 

+1 on the URLs. audits that just say "fix meta descriptions" without listing the pages are pretty useless when you're learning on your own sites