Reverse-engineer what gets cited
Scrape the domains the models trust most and extract a formula you can repeat.
What this play does
Across your citations, the same handful of domains keep appearing. There's a shape to what they publish — length, structure, freshness, format. Extract it and stop guessing.
The loop
- 1
MentionOwl gives your agent the domains most cited on your prompts.
- 2
It scrapes a sample and measures what they have in common.
- 3
It writes up a repeatable content pattern to a sheet.
What you get
- The traits shared by the pages that get cited
- A checklist your writers can follow
- Fewer posts that get ignored
The owl’s part
The MentionOwl data and MCP tools this play leans on.
Example agent prompt
Paste this into any agent with the MentionOwl MCP connected. The owl answers for the MentionOwl parts; your agent handles the rest.
MentionOwl MCP connectedList the domains cited most often across my tracked prompts. Scrape 3 top pages from each, then extract the common pattern — structure, length, format, freshness — and write it up as a repeatable content formula.
