How should communications teams prepare for AI-generated journalism?

AI-generated journalism compresses the news cycle and changes what readiness means. Stories are now assembled fast from whatever material is easiest to find, accurate or not. An AI engine or an AI-assisted reporter will pull that material first. The standard for being prepared has shifted: infrastructure must be standing before the story, not assembled after it.

Before the story: build the infrastructure

1. Authoritative content covering the likely angles: If the easiest material for an AI to assemble is accurate, correctly framed corporate content, that becomes the story’s starting point. Thin or stale owned content cedes the framing to whatever else is indexed.
2. AIQ™ monitoring already running, An emerging narrative caught while it is forming is far easier to address than one discovered when a reporter quotes it back. Continuous AI narrative monitoring across all major engines is the early-warning layer.
3. Executives with current bios and statement-ready material: The response window in the AI news cycle is hours, not days. Executives need accurate, up-to-date bios on record and pre-cleared statements for foreseeable scenarios, so the team is not drafting from scratch under deadline pressure.

During and after the story: match AI-cycle speed

• Response cadence built for AI speed, Print timelines no longer apply. The team must be able to move at the pace the cycle now runs, with clear cross-functional ownership (comms, legal, reputation) named in advance.
• Post-story digital record: Coverage leaves a residue in search, Wikipedia, and the AI narrative. After the story, a deliberate rebuild of the digital record is its own workstream; the cycle ends for the press long before it ends for the engines.