How should a communications team prepare for AI-driven media inquiries?

Preparing for AI-driven media inquiries means accepting that the AI engine is now often the first interviewer. A reporter or stakeholder asks ChatGPT or Gemini about a company before contacting the comms team, and the answer they receive frames the entire conversation. Three preparation moves address this, all of them done before an inquiry lands, not after.

1. Build and maintain authoritative response infrastructure

   Clear FAQ pages, current executive bios, and dedicated fact assets give the AI engines accurate, well-structured material to draw on. When that infrastructure is thin or stale, the engines fall back on whatever else is available, which may be hostile, outdated, or simply wrong. The goal is to make the accurate answer the easiest one to assemble.

2. Monitor the AI narrative continuously

   An emerging storyline caught while it is forming is manageable. The same storyline discovered when a reporter quotes it back is a crisis response, not a preparation. Continuous monitoring, AIQ™ tracks what eight major AI engines say about a brand in real time, is what closes that gap between formation and discovery.

3. Pre-empt the predictable questions

   Identify the questions the engines are likely to be asked about the company and make sure the accurate answer is the easiest one for them to assemble. This is proactive framing: shape the AI’s answer before a reporter encounters it, rather than disputing it after. The questions are often predictable, product safety, executive history, competitive positioning, past controversies, and the content that answers them accurately can be structured and published ahead of time.

The throughline is sequence: infrastructure feeds the engines, monitoring catches what the engines are saying, and pre-emption shapes the framing before it hardens. Together they move the comms team from reactive to positioned.