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
I will also want the tool to group issues by their root cause. If 40 pages have duplicate title tags because of one CMS template, that's potentially just one fix. A useful report could show a few affected URLs, identify the shared problem, suggest the change and explain how to verify it after deployment, which would save a lot more time than generating another long list of SEO warnings.
triage, remediation workflows, and continuous monitoring rather than trying to fix everything manually.
I'd automate the verification step after a fix. Recrawl the changed URLs, confirm status code, canonical, title and indexability actually changed, then drop an annotation with the date so you can compare 28 days before and after in GSC. Most audits die because nobody can prove the fix did anything.
The one thing I wouldn't automate is the actual content fix. I'd happily let a tool find the pages, group them by root cause and tell me exactly what to change, but when it comes to rewriting a page I still want a person deciding what the page should actually say, otherwise you end up with a lot of polished pages that all sound the same and say nothing new. For me the fix list is most useful when it flags what needs a human rewrite and what is just a technical change I can push through quickly, and keeps those two separate.
Fair point. Finding and grouping is where a tool saves hours, the rewrite still needs someone who knows what the page is for. I would add one more manual step: checking the fix a few weeks later to see if it actually moved anything.