A synthesis of four research papers from the Unusual.ai research series—37,000+ survey questions against ChatGPT and Claude—and what they imply for established brands marketing into AI commerce.

This guide is the deep dive on how to measure whether AI is making your prospects more likely to convert (advocate) or less likely to convert (detractor).

This week, Google released personal shopping assistants designed to help shoppers "find exactly what they need at exactly the right moment." Here's how that changes marketing.

Brand strategy is changing. The audience is changing; the discipline is maturing around it.

This playbook is for marketing, growth, and revenue operations teams who need to measure AI's effect on their pipeline. It assumes a world in which AI is actively shaping opinions across every channel you run, and increasingly making purchasing decisions directly on behalf of your buyers.

Marketing teams should avoid solutions built on prompt volume data. It's attractive at first glance, but unethical, misleading, and useless.

Marketers are watching their website's referrals from AI models like ChatGPT grow. This makes it easy to think of AI models as an emerging channel. Unfortunately, this view of AI blinds marketing teams from the full impact of AI on their funnel. AI is much closer to a new audience for brands rather than a new channel.

Dev Finley is a career brand strategist and brand marketing expert. In this guest article, he discusses the shortcomings of Generative Engine Optimization and picks AI Brand Alignment as the holistic solution brands need.

Introducing a free and open-source web analytics tool for measuring when AI Agents visit your site.