AI tools can be helpful for SEO, but I’m not fully comfortable treating their recommendations as final decisions. I’ve seen AI suggest things like new title tags, extra content sections, FAQs, schema updates, internal links, and keyword changes. Some suggestions make sense, but others can feel too generic or disconnected from the actual page, search intent, business model, or competitive landscape. Before applying anything, I usually try to validate it with actual data. That means checking GSC, GA4, current SERPs, competitor pages, keyword intent, the page’s purpose, and whether the change would make the content more useful for real users. I’m also careful with technical recommendations because AI can sound confident even when it misses important context. Things like canonical tags, indexing issues, crawlability, internal linking, and schema markup still need manual review before making changes. For those using AI in SEO, what does your review process look like?…