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.
Most B2B companies are measuring marketing effectiveness wrong — over-crediting the last touchpoint, missing the dark funnel entirely. Here's what actually works, including self-reported attribution and why the AI gap is the next measurement crisis.
Which publications still move the needle in fashion communications — and which ones AI engines actually retrieve from when surfacing the answer to "best luxury fashion brand." The full fashion editorial ecosystem mapped by tier.
Citation Share is the percentage of AI-generated answers in a category that cite, name, quote, or reference a given brand. It is to the answer-engine era what market share is to revenue. This article explains what Citation Share measures, what it doesn't, and why it's a crucial metric for brands to understand and manage their AI visibility.
Citation Share is a new metric for the AI era, tracking brand mentions in AI engine responses. This article outlines a methodology to measure your brand's Citation Share across platforms like ChatGPT, Claude, Perplexity, and Gemini, providing insights for PR and marketing strategies.
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.
A study of 100 consumer brands and four answer engines reveals how brand power is changing in the AI era. Legacy brands underperform digital challengers by 32% on Citation Share, highlighting the importance of structured presence across platforms like Wikipedia and Reddit.
Dashboards full. Pipelines measurable. Every click trackable. Marketers speak confidently about attribution. The data is real. The picture it paints isn't. Why the B2B digital marketing dashboard lies.
Publishing original first-party data is the single highest-leverage move for brands building AI citation surface. This article details why and how to transform proprietary data into robust citation infrastructure.
A/B testing is the discipline that compounds marketing performance across years. The eight-step process that works, the three failure modes that recur, and the new testing surface inside AI engines.