Command
Use the Peec MCP to do the following in sequence. First, pull our brand report and identify the prompts in the [topic] category where our visibility is lowest. Second, pull the domain report for those same prompts to see which sources AI currently cites most often. Third, use those findings to write a full blog post that directly addresses the questions where we are invisible, incorporates the structural patterns of the top-cited sources, and is built to earn citations from the models your buyers use. Include a meta description, a suggested URL slug, and 3 recommended internal link targets.
Most content briefs are built on keyword research and search volume estimates.
The result is content optimized for Google rankings that may never register in AI search at all, because the two systems evaluate sources differently. This brief is built on entirely different data: the exact questions where your brand is invisible in AI search, the domains that are currently cited by AI when those questions are asked, and the structural patterns those cited sources share.
The output is not just a well-optimized blog post. It is a post designed to fill a specific, measurable gap in how AI describes your category, engineered from the same data AI uses to decide what to trust.
