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ADWEEK to Debut the Super Bowl AI Influence Index
AI visibility startup Emberos will reveal which brands are getting the most LLM traction during the Super Bowl
YouTube Overtakes Reddit as Go-To Citation Source on AI Search
YouTube has eclipsed Reddit as the leading social source for large language models—brands need to rethink their approach to AI visibility.
How the Super Bowl AI Influence Index Works
Ranking individual Super Bowl commercials by how they appear, persist, and move inside AI-gernerated answers in real time.
AI Visibility Startup Emberos Raises $1.2M in Pre-Seed Funding
Founded by former Googler Justin Inman, Emberos aims to help brands understand and shape how they appear in AI searches
Hiring For Critical AI Roles? 20 Factors To Consider When Starting
As AI becomes core to business operations, the key hiring decision isn’t about job titles, but about solving the right problems. Forbes Business Council members share what roles matter most for turning AI into real business impact.
How AI Has Rewritten The Rules For Brand Visibility
As AI rapidly replaces traditional search, brands can no longer rely on SEO alone to stay visible. AI discovery now depends on “share-of-prompt,” entity authority and cross-platform validation, not just rankings and keywords. This article explains why the rules of brand visibility have changed—and what companies must do in the next 90 days to stay competitive.
AI Model Predicted 'Wicked: For Good' Opening Weekend With 92% Accuracy
A new case study suggests AI assistants are already shaping real-world sales. Startup Emberos claims it predicted the box office performance of Wicked: For Good with 92% accuracy using only AI visibility signals, pointing to a future where “share of prompt” inside AI-generated answers becomes a key driver of marketing performance and demand forecasting.
Wicked: For Good
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.
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