Command
Use the Peec MCP to identify our 3 biggest visibility gaps: the prompts in our tracked categories where our brand visibility is lowest and where competitors are currently being cited. For the highest-priority gap, pull the domain report to understand which sources AI currently trusts for that topic. Then draft a full blog post that directly addresses the question behind that prompt, incorporates the structural patterns of top-cited sources in our category, and is written to earn AI citations. Include a meta title, meta description, and suggested URL slug. Publish directly to WordPress via the API. Schedule this as a weekly Claude task so new content gaps auto-queue for publishing without manual checks.
The gap between identifying a content opportunity and having a live page is usually measured in weeks: a brief is written, a writer is assigned, a draft is reviewed, an edit is made, metadata is added, and someone eventually hits publish. By the time the page is live, the opportunity may have shifted.
This compresses the entire cycle into a single automated workflow: visibility gap identified, post drafted to the structural standard AI trusts in your category, metadata written, and published while you are working on something else.
The result is not just speed. It is content that was built from real AI search data rather than a keyword list.
