Wicked: For Good

AI Visibility Forecast

Wicked: For Good

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Emberos used real-time AI visibility signals, SoP, SSI, PDI, sentiment, and media velocity, to forecast opening-weekend performance ten days earlier than traditional tracking. This is the first documented case of an AI-visibility-based film forecast.

Wicked’ and all related elements © Universal Pictures. Used under fair use for editorial analysis. No affiliation or endorsement implied.

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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?

Two Lock Forecasting

Lock #1 sets the early prediction; Lock #2 validates after reviews.

Nov 14
Nov 20
Nov 21

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

Reviews Lift

Track changes in SoP, sentiment, PDI, and media references post-embargo.

Capture pre- vs. post-review movement to measure convergence.

Opening Day Update

Final Lock

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

$114.2M → $114.0M

Model stabilized early; variance tightened post-reviews

SOP Lift

+0.2%

AI visibility held steady through review window

Early Signal Lead Time

~14 Days

Inflection detected before tracking shift

Visibility-Driven Uplift

$10M

Estimated incremental demand captured via AI visibility

Forecast Accuracy (Backtested)

4.6% MAE

across 300 titles

2-for-2

validation for 2 additional titles released

with mean 7% error

±$10M CI

on domestic weekend

AI Visibility Trends — Early Signal Advantage

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.

Performance Revenue & Impact

AI visibility movements correlated with opening-weekend demand ahead of reviews and pre-sales, supporting the viability of LLM-based forecasting.

Observed vs Predicted (Domestic Weekend)
0.8% Error
Signal Strength vs Forecast Adjustment
Negative Signal Movement
Positive Signal Movement

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

~14 Days

Forecast Error

0.2%
"When AI systems start surfacing a title, audiences start showing up."
Justin Inman
Justin Inman Founder & CEO

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

  • Cast & character questions
  • Music & song queries
  • Comparisons to other holiday tentpoles
  • Family/holiday positioning
  • Franchise continuity ("Do you need to see Part 1 first?")

Methodology

AI Monitoring

Scout

Track SoP, SSI, PDI, CCI across AI platforms

Predictive lift engine

Pilot

Multi-model prediction with confidence intervals

Predictive Optimization

Flow

Real-time feedback loop for strategic adjustments

Resources

Supporting materials

Legal Notice: "Wicked," "Wicked: For Good," and all related titles, logos, characters, and artwork are trademarks of Universal Pictures. All references are used for commentary and analytical purposes. Emberos is an independent analytics platform and is not affiliated with or endorsed by Universal Pictures
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