Early Lock
Based purely on AI visibility signals (SoP, SSI, PDI, sentiment, media velocity).
Forecast: $143M
AI visibility stabilized ~12 days earlier than tracking models.
10 Days Before Results
Wicked: For Good

Emberos conducted a first-of-its-kind test to evaluate whether AI visibility, what LLMs surface in response to user prompts, could forecast theatrical revenue.
We privately froze our forecast on November 14 using a timestamped, hashed protocol. After box-office results were published, the model landed within 0.8% of actual opening-weekend gross. This case study outlines the signals, methodology, findings, and opportunities for future optimization.
This study tested a simple question:
Can AI visibility, what LLMs surface in response to user prompts, forecast real-world behavior before search, social, or presales move?
Lock #1 sets the early prediction; Lock #2 validates after reviews.
Based purely on AI visibility signals (SoP, SSI, PDI, sentiment, media velocity).
Forecast: $143M
AI visibility stabilized ~12 days earlier than tracking models.
10 Days Before Results
Track changes in SoP, sentiment, PDI, and media references post-embargo.
Capture pre- vs. post-review movement to measure convergence.
Opening Day Update
Uses only AI visibility + public review data (no box-office numbers).
Shows convergence or variance relative to Lock #1.
Confirms whether early AI signals held.
Verified Results
Domestic Opening Forecast
Model stabilized early; variance tightened post-reviews
SOP Lift
AI visibility held steady through review window
Early Signal Lead Time
Inflection detected before tracking shift
Visibility-Driven Uplift
Estimated incremental demand captured via AI visibility
across 300 titles
validation for 2 additional titles released
with mean 7% error
on domestic weekend
Wicked: For Good’s Share-of-Prompt curve stabilized by Nov 14, demonstrating the model's ability to detect the inflection 10–12 days earlier than traditional tracking.
AI visibility movements correlated with opening-weekend demand ahead of reviews and pre-sales, supporting the viability of LLM-based forecasting.
AI visibility surged well before traditional indicators updated, establishing SoP as a forward-looking demand signal.
The model locked onto its final range ~12 days earlier, and reviews confirmed, not reshaped, the forecast.
Traditional tracking sees what already happened.
AI visibility showed what was about to happen.
Simulation runs show that a +2–3 point lift in SoP during the final ten-day window could have translated to $2–3M in incremental opening-weekend revenue—opportunities future marketing teams could unlock using emberos' predictive optimization loop. This represents the next phase of GEO: moving outcomes, not just predicting them.
Lead Time Advantage
Forecast Error
"When AI systems start surfacing a title, audiences start showing up."
Why This Matters
AI visibility has become the earliest measurable signal of audience intent. For Wicked: For Good, AI systems began surfacing Wicked content 10–12 days before traditional tracking curves moved. This marks one of the first cases where LLM reasoning stabilized the forecast ahead of social velocity, ticketing data, or critic reviews.
Top Query Themes Leading Up to Release
Track SoP, SSI, PDI, CCI across AI platforms
Multi-model prediction with confidence intervals
Real-time feedback loop for strategic adjustments
Resources
Supporting materials