Run AI Search Due Diligence

Full AI visibility profile structured and ready for the deal room.

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Command

Use the Peec MCP to run a full AI visibility audit for [brand or domain]. Pull: (1) brand visibility, sentiment, and share of voice broken down by AI model, (2) which source types AI relies on most when answering questions about this brand, (3) the top cited domains and whether they are owned, editorial, or third-party UGC, and (4) the brand's share of voice vs. their top 3 competitors. Then write a structured due-diligence summary I can include in a pitch deck, with a section flagging any risks: visibility concentrated in one model, heavy reliance on UGC sources, or significant competitor gaps. Share the due-diligence summary to [Slack channel] for the deal team.

What this use case can do for you

AI search visibility is becoming a line item in brand valuation, and most acquisition teams are not yet asking about it. A brand with strong visibility built on owned content and trusted editorial sources is a different asset than one whose presence depends on a handful of Reddit threads or a single AI model's quirks.

This runs the full audit: visibility by model, source quality assessment, competitor comparison, and a structured risk section covering the red flags that matter most to a deal.

The whole output is formatted for a pitch deck and ready in under two minutes, so due diligence includes AI search whether the other party is thinking about it or not.