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These recipes show how to combine Promptwatch MCP tools into useful workflows. Copy the prompts directly into your AI assistant, or use them as starting points for your own.
Each recipe assumes you’ve already connected the MCP server to your AI assistant.

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Weekly GEO Briefing

Get a structured overview of your brand’s AI visibility — trends, competitor movements, and citation changes — ready to share with your team. What it does: Pulls visibility trends, competitor rankings, and citation data for the past week, then synthesizes them into a shareable summary. Tools used: getVisibilityTimeSeries, getTopCompetitors, getCitations, getSentimentTimeSeries Prompt:
What to expect: Your assistant will call multiple tools, compare this week against last week, and return a structured summary with highlights and lowlights. Takes about 30 seconds.

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Find and Fix Content Gaps

Go from “where are we missing?” to “here’s a draft” in a single conversation. The MCP identifies prompts where your brand isn’t showing up, then generates optimized content to close the gap. What it does: Scans your monitored prompts for low-visibility areas, pulls specific recommendations, and generates a content piece targeting the gap. Tools used: listContentGapPrompts, getContentGapRecommendations, createContent, getContent Prompt:
What to expect: Your assistant will surface prompts where competitors are visible but you’re not, explain what content would help, and kick off AI content generation. You’ll get a full draft article optimized for the gap. Content generation runs async — the assistant will poll until it’s ready.
Follow up with “Now do the same for the second gap” to work through multiple gaps in one session.

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Investigate a Visibility Drop

When your visibility score drops, use this workflow to trace the cause — is it a crawler access issue, a citation shift, or a competitor gain? What it does: Compares visibility before and after the drop, checks if AI crawlers are still reaching your site, and looks for changes in which sources are being cited. Tools used: getVisibilityTimeSeries, getCrawlerTrend, getCitationRankAnalysis, listResponses Prompt:
What to expect: Your assistant will pull time-series data to pinpoint when the drop happened, cross-reference with crawler activity to rule out access issues, and check citation rankings to see if competitors displaced you. You’ll get a diagnosis with specific prompts and models affected.
If the cause is a citation shift, follow up with “Show me what sources replaced us” to see exactly which competitors or domains gained the citations you lost.