MMM, MTA, incrementality, clean rooms, walled-garden self-reporting. The single-source-of-truth measurement era is over. Here's how 2026 brand teams are managing the portfolio.
Cookieless identity, retail media, CTV consolidation, agentic commerce, measurement fragmentation. EPR's defended reference on the modern AdTech and MarTech stack.
The internal comms KPIs the CEO actually asks about. Reach, engagement, sentiment, manager cascade, time-to-message. What gets reported. What gets ignored.
Evaluations of AI performance in communications teams should focus on outcomes—such as output quality, time saved, AI visibility, and adherence to controls—rather than mere activity metrics like prompt usage or hours logged. Regular, quarterly assessments are recommended to track trends and ensure the operating model is effective.
Citation Share is the headline metric of GEO — but a program with only Citation Share is a scorecard, not an operating system. The full seven-metric stack: Citation Share, Entity Authority, Retrieval Frequency, Prompt Coverage, Crawl Health, Cross-Engine Variance, Citation Decay Rate.
Citation Share measures how often your brand appears in AI-generated answers across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It's the successor to share of voice — and the most important metric in AI Communications.
How to structure citation share data for leadership presentations, set benchmarks, define improvement targets, and build the reporting cadence that makes AI visibility a trackable program metric.
Likes and follower counts don't move product. Here's what serious brands measure instead — and why the gap between vanity metrics and business impact is where most campaigns fail.
Citation Share is the new metric defining AI Communications, measuring an entity's presence in AI-generated answers. This article explains how It measures a brand's inclusion in AI answers across major engines, why it's replacing traditional market share, and how communications teams can use it to drive strategy and investment.
Marketing Mix Modeling (MMM) is experiencing a resurgence, becoming the fastest-growing measurement category in marketing. However, despite its growth and strong buyer demand, many vendors are not publicly acknowledging or claiming this trend. This creates a significant narrative gap in the industry.