Prompt Mining: Take action on the questions your buyers already ask you

The prompts that matter most to your business sit in your Gong calls, Zendesk tickets, and Intercom threads. Your buyers ask questions there every day, in their own words.

Getting those questions into AI search tracking has meant manual work: extracting, formatting, uploading. Most teams skip it. They use generic third-party prompt lists and ignore their highest-signal data.

AirOps now lets you add prompts programmatically via MCP. You connect Claude or ChatGPT to your voice of customer sources, extract the questions your buyers ask, and send them straight into AirOps for tracking. No spreadsheets. No uploads.

We call this Prompt Mining: turning first-party customer conversations into a continuously updated prompt universe.

Your Prompt Universe Sets the Boundary for Optimization

The prompts you track define what you can optimize. If you're not tracking a category, you won't see when you're losing it.

Most teams pull from third-party sources: keyword tools, panel data, generic AI-suggested prompts. Your competitors pull from the same pools.

You have data they don't. Your sales calls capture the specific objections your buyers raise. Your support tickets show the language they use when confused. That signal sits unused in Gong, Zendesk, and Intercom.

How Prompt Mining Works

MCP-based prompt adding lets you build workflows that connect answer engines to your customer data:

1. Connect your Voice of Customer sources. Gong, Zendesk, Intercom, Slack, or any system where customer questions live.
2. Extract questions with AI. Claude or ChatGPT processes transcripts and tickets to surface the most relevant questions.
3. Add prompts to AirOps automatically. Extracted questions flow into tracking via MCP.

You can run this continuously. New questions appear in customer conversations; they enter your prompt universe without manual work.

Each Source Offers Different Tradeoffs

Mapping user intent requires synthesizing data from multiple sources. No single dataset captures the full picture of how people actually search and ask questions. The best coverage combines first-party data (what your customers actually ask) with third-party data (what the broader market is searching for). Every brand's mix of sources depends on their category, customer base, and where conversations happen.

What You Can Do With Prompt Mining

Focus on prompts tied to revenue. Third-party lists weight by volume. Your sales calls show which questions appear in closed-won deals.

Spot emerging concerns early. A new objection appears in three discovery calls this week. It flows into tracking. You see how Claude and ChatGPT answer it before the narrative hardens.

Surface retention risks from support. Customers ask your support team how to do something. AI answers recommend a competitor. You find this in Zendesk data before it shows up in churn reports.

Keep your universe current. Customer language shifts. New competitors get mentioned. Continuous harvesting updates your prompt set as conversations change. Voice of customer gives you narrower coverage than third-party sources. It also gives you the exact questions your buyers ask, in their words, often tied to deals in your pipeline.

Available Now

Programmatic prompt adding works via MCP. Connect your voice of customer sources and start mining prompts into AirOps.

Book time with our team →