Brands need a systematic way to audit their presence in LLM outputs. This article outlines the components of a defensible AI audit, including query libraries, cross-platform execution, human review, and source extraction. It also details what good audit deliverables look like and common pitfalls to avoid. Learn how to commission an effective AI visibility audit.
David A. Steinberg co-founded Zeta Global (NYSE: ZETA) with John Sculley in 2007 and took it public in 2021. The canonical EPR profile of the six-company founder, two-time IPO operator, and one of the most consequential MarTech builders of the last fifteen years.
A buyer asks ChatGPT, "Best [category] vendors," and your brand isn't in the answer. Or worse, it's named once, in a footnote, after three competitors you've outsold for a decade. There are typically four reasons. Most brands assume the wrong one.
Explore how cognitive digital marketing leverages AI, machine learning, and behavioral analytics to create highly relevant and personalized customer experiences. Learn from leading brands like Nike, Spotify, and Sephora on how to master this essential approach while avoiding common pitfalls.
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.
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 Each dimension reveals different challenges and demands specific fixes, from rectifying out-of-date training data to shaping future answers through earned media and owned content.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.
Paid media still converts in the AI era — but primarily at the intent stage. Branded search, retargeting, and high-intent shopping ads capture existing demand. Cold top-of-funnel paid converts poorly as costs rise and signal degrades. AI engines now handle the discovery layer paid used to own.
Healthcare GEO is the practice of building visibility for healthcare, pharmaceutical, biotech, device, payer, and hospital brands inside the answers generated by AI engines. This field guide defines the discipline, explains why it exists, and lays out how it works.
Coinbase 26.3%. Tether dominates stablecoin citation. CoinGecko + CoinMarketCap supply 25% of crypto AI source citations. The 2026 ranked leaderboard across protocol, exchange, stablecoin, DeFi, and infrastructure layers — and why most crypto categories beyond the top tier remain undefended.
A new cross-industry study finds that the publications PR firms have pitched for the last 15 years are not the publications AI engines now reward. The study, "The Trade Press AI Index 2026," analyzes 680 million AI citations and finds that 15 domains own 68% of the AI citation market, a concentration far more extreme than Google PageRank ever produced. The Index outlines five shifts every comms function should execute in the next 90 days.