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AI Visibility Audits
AI Communications

AI Visibility Audits

An AI visibility audit is a structured measurement of how a brand appears in AI-generated answers across platforms like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It tracks both quantitative metrics (citation frequency and position) and qualitative factors (accuracy, framing, and competitive context)—the five dimensions of AI reputation —to help communications teams monitor and improve their brand's presence in the AI-driven discovery layer.

EPR Editorial Team ·
The Five Dimensions of AI Reputation: Accuracy, Sentiment, Completeness, Consistency, Control
AI Reputation

The Five Dimensions of AI Reputation: Accuracy, Sentiment, Completeness, Consistency, Control

AI reputation isn't a single score; it's a composite of five independent dimensions: accuracy, sentiment, completeness, consistency, and control. Understanding each dimension is crucial for auditing and managing a brand's AI-held reputation across major AI engines like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Each dimension reveals different challenges and demands specific fixes, from rectifying out-of-date training data to shaping future answers through earned media and owned content. This article breaks down how these dimensions combine to give a directional view of your brand's AI standing and provides a repair plan for any identified issues.

EPR Editorial Team ·
AI Communications for Healthcare
Healthcare

AI Communications for Healthcare

Healthcare communications are undergoing a rapid and profound transformation due to AI. This article explores how AI engines are becoming the primary intermediaries for information discovery in healthcare, impacting everything from patient discovery to crisis response. Learn about the seven dimensions of AI communications for healthcare and what leading organizations are doing to adapt.

EPR Editorial Team ·
Who AI Engines Already Name When You Ask About Sportsbooks
Gambling

Who AI Engines Already Name When You Ask About Sportsbooks

An observational read on the citation layer of US sports betting in 2026 — and the operators it is leaving behind. Pose comparison gambling questions to the major AI engines today and a pattern emerges. The same handful of names show up. Repeatedly. Across queries, across engines, across phrasing. That pattern is the citation layer of US sports betting in 2026. It is not a ranking. It is not paid placement. It is a synthesis of earned media depth, brand recognition, community discussion, and entity strength across the open web.

Ronn Torossian ·
AI Reputation Management — The Era 3 Primer
Reputation Management

AI Reputation Management — The Era 3 Primer

The buyer's first conversation about your brand no longer happens with a salesperson, a search engine, or a journalist. It often happens with ChatGPT. With Claude. With Perplexity, Gemini, and Google AI Overviews. What those engines say about you is part of your reputation now. Not just what Google indexes. Not just what The Wall Street Journal prints. Not just what your investor deck claims. The answer inside the chatbox. AI Reputation Management is the discipline of measuring, defending, and shaping what AI engines say about a company, a founder, or a product — across the five engines that now mediate a growing share of buyer research. It is not online reputation management with a new label. It is a different surface, with different inputs, different decay curves, and different repair playbooks.

EPR Editorial Team ·