Summary This post explains why Target Media Citation Alignment (TMCA) is a critical addition to PR measurement in the age of generative search. It shows how AI engines often cite sources outside of a brand’s priority media list, which can weaken narrative control and distort reputation. The post breaks down a clear process for tracking […] The post Target Media Citation Alignment: Earned Media Strategy Must Influence AI appeared first on Michael Brito.| Michael Brito
Summary This post explains how the Model Interpretation Risk Index helps brands measure and manage reputation inside AI-driven search results. It shows why traditional monitoring is no longer enough and introduces a structured scoring system to track how engines like ChatGPT, Perplexity, and Google AI Overviews amplify or distort risk. By weighting frequency of negative […] The post Model Interpretation Risk Index: Tracking AI’s Impact on Brand Reputation appeared first on Michael Brito.| Michael Brito
Summary This post introduces the Model Sentiment Consistency Score as a way to measure how evenly AI engines frame a brand’s reputation. It explains why consistency across models matters for credibility and trust, and how volatility signals weak narratives that can quickly become reputational risks. The post also outlines how to measure and interpret this […] The post Model Sentiment Consistency Score: Getting Alignment Across AI Engines appeared first on Michael Brito.| Michael Brito
Summary This post introduces the Competitor Comparison Sentiment Gap, a critical metric for understanding how AI search engines frame your brand against rivals. It shows that visibility alone is not enough. The real risk lies in how models like ChatGPT, Perplexity, and Google AI Overviews assign credibility, authority, and trust across competing brands. A neutral […] The post Competitor Comparison Sentiment Gap: The Hidden Reputation Risk appeared first on Michael Brito.| Michael Brito
Measure Reputational Risk Surface Area in AI search to identify the number of negative issues shaping your brand’s reputation profile.| Michael Brito
The voice of the customer (VoC) is the collective narrative of how your customers feel about your products, brand, and all you offer.| Michael Brito
Brand Trust Signal density Summary This post explains how to measure and improve Brand Trust Signal Density, a metric that tracks how often AI search results include credibility markers such as awards, certifications, analyst mentions, and high-profile partnerships. It outlines the importance of defining trust signals, making them accessible to AI models, and testing them […] The post Brand Trust Signal Density: How to Amplify Credibility in AI Search appeared first on Michael Brito.| Michael Brito
Summary This post explains how to use the Brand Sentiment Volatility Index (BSVI) to monitor week-to-week shifts in how AI platforms describe your brand. It shows how to select prompts, score sentiment, calculate volatility, and benchmark results against competitors. The Voltura example illustrates how outdated sources and viral content can trigger sharp swings, and how […] The post The AI Brand Sentiment Volatility Index: Early Warning Signals appeared first on Michael Brito.| Michael Brito
Track brand reputation in AI search using citation sentiment, source trust, narrative alignment, and entity pairing to influence how AI search engines describe you.| Michael Brito
Learn how to get customer pain points using Reddit, product reviews, and AI prompts. No paid tools required. Just hustle, scraping, and strategy.| Michael Brito