Search engine optimization is constant work. That’s why many startups hire dedicated SEO experts to analyze, streamline, and audit on-page performance. But auditing and fixing technical and on-page issues takes serious time, budget, and internal coordination. From crawl errors and broken internal links to metadata gaps, duplicate content, and page speed bottlenecks, the process is resource-intensive and often reactive instead of strategic.
AI has made a lot of work easier for startups, helping them cut costs, save time, and often get better results with fewer resources. So it makes sense to use AI for technical SEO, too. In our case, we use Claude to quickly spot and understand the issues that might be hurting your visibility and slowing down your brand’s growth online.
Whatever you do to improve on-page SEO, the depth of the audit conducted by an AI service can give you insights into areas that were casually overlooked by human experts. It’s like seeing the reality unfold in front of you. AI digs deep - deeper than where a human can go. We are not advocating the use of AI to write SEO articles or anything like that. We are advocating a technical SEO audit that might put your page in the top 10 search results.
In this tutorial, we will show you exactly how to use Claude to conduct a site-wide audit to find and fix technical SEO issues that are holding your page down in the dark depths of search engine-indexed results. We’ll show you how to use Claude to crawl errors, find broken internal links, identify metadata gaps, and page speed bottlenecks.
By the end of this tutorial, you’ll be able to:
Find crawl errors in your webpages
Find broken internal links
Identify metadata gaps
Conduct page speed tests to identify bottlenecks
Let’s get started!

