AI/LLMs Data Research

NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility

The Problem: For the last few years, companies have been investing inordinate sums into AI tracking and AI visibility for their brands and products. $100M+/yr is already estimated to be spent on this new version of search analytics and yet, I could find absolutely no research showing whether AI tools are consistent enough, when prompted

How to Overcome the “Link in Comments” Problem on LinkedIn and Other Social Platforms

Those pesky, anti-link, pro-native-content social platforms are at it again, muzzling the visibility of links anywhere and everywhere they can. Sure, they occasionally let something especially high-performing through, but as we learned when Twitter open-sourced its algo, these systems intentionally and consistently demote content with links… But… Amanda and I have been working on ways

The 5 Big Trends that Will Dominate Marketing in 2026

I find most end-of-year prediction and crystal ball-gazing listicles to be trash. They don’t prove their assertions, use anecdotes rather than data at scale to back up their prognostications, and, worst of all, fail to grade their previous predictions (how the #$%@ else do you know if you can trust their current ones?!). And yes,

Never Ask an AI Tool How It Came Up with That Answer

This post on LinkedIn by Britney Muller is, IMHO, the most important short piece on AI you’ll read this year. It’s so critical to understand what she’s saying here that I’ve focused this week’s 5-Minute Whiteboard on explaining and demonstrating exactly the problem she’s so succinctly captured. If you’ve ever asked ChatGPT, Claude, Perplexity, Gemini,