AI SEO Content Automation Platform

The problem

The agency's content team could produce well-researched, ranking-ready articles, but the research phase — keyword clustering, competitor gap analysis, search-intent mapping — was eating two to three hours per piece before a single word got written. That research bottleneck capped how many clients the team could take on.

What we built

• Built a pipeline that takes a single topic or target keyword as input and pulls live search data: ranking competitors, related queries, and content gaps.
• Used an LLM to cluster the research into a structured brief — search intent, recommended headings, target word count, internal linking suggestions.
• Generated a full first-draft article from the brief, written to match the client's existing tone of voice from a small style sample.
• Pushed the finished brief, draft, and a summary ranking strategy straight into a Google Doc, formatted and ready for a human editor to review.

The result

What used to take a researcher half a day now takes about five minutes of processing time. The agency's writers go straight to editing instead of researching, and the team took on new retainer clients without hiring additional strategists.