I've been building SaaS products for a while now, and one thing that always stood out was how visible the results were from social. Reddit, X, communities, and building in public gave me a clear connection between what I did and what happened. Post something → people see it → users visit → feedback comes in. But SEO and AI visibility always felt different. Sometimes traffic appeared. Sometimes a page performed. Sometimes people found the product through search. But I rarely knew: Where exactly was I visible? Why was I showing up? What was working? What should I do next? That got me thinking about search visibility differently. Because with SEO and AI search, the right actions can compound over time. So I started researching the space. Tools like Ahrefs and Semrush have built incredible SEO platforms, but I realized my problem wasn't only getting more data. The hard part was turning that data into action. I didn't want another dashboard where I spent hours reading reports and then manually deciding what to do. I wanted something that could answer: Where am I losing visibility? What should I improve? What should I create next? That became the idea behind what I'm building now. A platform that combines the analytics layer with an optimization + action layer. The interesting part is that it works where you work. With MCP, the goal is not just letting AI read data. It's letting AI work with that data inside the tools you already use, so AI understands what is happening and can help determine what actions to take next. This also means moving beyond recommendations. With integrations like a headless CMS, you can go from identifying a content opportunity to actually creating and publishing content based on those insights. It can help identify communities, platforms, and places where competitors are already building visibility, so companies know where they should show up and build p...

AI has not replaced my SEO tools, but it has changed how I use them. My main stack still includes Google Search Console, GA4, SEMrush, Ahrefs, Screaming Frog, BrightLocal, and Google Business Profile. I use AI mainly to speed up keyword grouping, content briefs, metadata drafts, schema ideas, reporting, and audit organization. For example, Screaming Frog may identify duplicate titles, missing headings, redirects, or schema issues. Search Console shows which pages already have impressions, while SEMrush helps uncover keyword gaps. I then use AI to organize the findings, prioritize tasks, and turn them into a clearer action plan. The SEO tools provide the data. AI helps me process and communicate it faster. How has AI changed your SEO tool stack? Have you replaced any tools, or are you using AI alongside the tools you already have?

is a breakout Google Trends item related to AI search visibility.