
The Earnings Call Communications Playbook
The 21-day pre-call build, the execution framework, and the 72-hour post-call sequence — with the AI retrieval layer integrated at every stage. What Jensen Huang, Lisa Su, and Alex Karp do differently.

The 21-day pre-call build, the execution framework, and the 72-hour post-call sequence — with the AI retrieval layer integrated at every stage. What Jensen Huang, Lisa Su, and Alex Karp do differently.

The S&P 100 scored on whether AI cites the transcript, the 10-Q, the press release, or the analyst note. The CEO's first 90 seconds determine the answer.

Earnings calls are no longer just quarterly events; they have become a permanent input for AI systems. This article explores how the structured nature of earnings call transcripts feeds major AI engines, influencing corporate messaging, legal protections, and a company's "Entity Authority" or "Entity Drift." It also discusses the challenges of "Retrieval Risk" and "forward-looking persistence" in AI summarization, offering insights into how companies can adapt their communication strategies for the AI era to achieve "Citation Dominance."

ChatGPT reads your earnings call. It cuts the caveats. The optimism asymmetry between AI summaries and the actual disclosure — and the credibility tax that follows.