Command
Use the Peec MCP to pull the domain report for all our tracked prompts. Filter results to show only editorial and institutional source classifications. Rank by retrieval rate. Then cross-reference every domain in that list against our owned domains and any domain that has already cited our brand. Return only the high-retrieval editorial domains that have zero mentions of us. For each one include: domain name, retrieval rate, which of our tracked prompts it appears for most often, and a brief note on the type of content they publish. This is my prioritized PR outreach list. Export the full list to a Google Sheet sorted by retrieval rate. Share the top 5 targets to [Slack channel] for the PR team to action.
Traditional media lists are built on circulation data, domain authority scores, and editorial tier rankings. Those signals measure influence in human-read media. AI search has its own hierarchy of trusted sources, and it is often very different. A niche industry publication that barely registers in standard media databases might be one of the most-retrieved domains in your category.
This finds those outlets, ranked by actual AI retrieval frequency, and returns only the ones that have never covered your brand.
That is your highest-leverage PR target list: not the loudest publications, but the ones AI is already listening to.
