Emberos proves “Share of Prompt” can forecast sales with 92% accuracy, showing AI visibility beats traditional tracking and may become the next big demand signal.
A new study by the A.I. Brand Orchestration startup Emberos suggests that analyzing signals generated by A.I. assistants is now the most accurate and forward-looking metric for predicting consumer demand and sales.
The company demonstrated that these A.I. signals can predict box office results up to 10 days earlier than traditional tracking tools, arguing that “Share of Prompt” is the next evolution of brand visibility, succeeding decades of reliance on surveys, search, and social media data.
The Predictive Power of the Prompt
Using AI visibility data combined with high-level public presale figures, Emberos predicted the opening weekend box office revenue for the major film “Wicked: For Good” with 92% accuracy. The company replicated this accuracy with other titles, including “Running Man” and “Now You See Me: Now You Don’t.”
This marks the first independently timestamped proof that a brand’s presence within A.I. systems—such as ChatGPT, Gemini, and Perplexity—directly correlates with real-world commercial performance.
“Share of Prompt” measures how often a title or brand appears in A.I.-generated answers when users ask for recommendations, such as “What should I see this weekend?”
Justin Inman, the Chief Executive of Emberos, emphasized that the data reveals demand before it manifests in traditional sales channels. “Optimizing for Share of Prompt is now imperative. If you aren’t optimizing your A.I. visibility, you’re missing out on real revenue,” he stated.
Also Read: GenAI Search Is Rewriting the Shopper’s Playbook
From Clicks to Intent
Inman, who helped brands navigate the last era of brand visibility and Search Engine Optimization (SEO) at Google, positioned A.I. visibility as the next definitive metric.
“Clicks tell you what people did. Prompts tell you what they’re about to do,” Inman said. He noted that for a large film like Wicked, one point of “Share of Prompt” lift correlated to up to $400,000 in opening-weekend revenue.
The findings validate the maturation of Generative Engine Optimization (GEO), the discipline focused on maximizing A.I. visibility. Inman described this shift as moving GEO “from hacks to data science,” creating a stable, predictive signal tied to real outcomes.
While Wicked is the first high-visibility case study, Emberos’ proprietary system is built to apply the “Share of Prompt” metric across any consumer category where people seek recommendations from A.I. systems, including retail, travel, and politics.
