Command
Use the Peec MCP to pull the URL report for our tracked prompts and filter for pages classified as LISTICLE. Return the top 10 by retrieval rate. Then use Firecrawl to scrape each one. For each listicle, check: whether our brand is mentioned, what position we appear in the list, how we are described in that specific entry, and whether the language used is positive, neutral, or negative. Return a summary table with columns for: URL, listicle title, our brand position in the list, the exact description used, sentiment rating, and a flag for any listicle where a direct competitor appears but we do not. Export the full summary table to a Google Sheet sorted by retrieval rate.
Listicles have disproportionate power in AI search. They are the page type AI models trust most to answer best-of and top-rated questions, which are often the highest-intent queries in any category. The problem is that most brands have no idea which listicles AI is retrieving, what position they appear in, or what language is being used to describe them. You could be ranked 7th on the listicle AI retrieves most for your category's most competitive query and not know it.
This surfaces the full picture: every high-retrieval listicle, your exact position in each one, the specific language used to describe you, and a flag for every list where a competitor appears but you do not. That last list is your outreach queue.
