“Do we really trust Chinese models that much?”” Lisa asked that question in the Trust Insights Analytics for Marketers Slack group and the short answer is, “we really trust models under our control that much”, which means open weights models, models we download and run on our own hardware or in trusted inference providers. Here’s…
Summary In today's episode, I walk through how to run an objective AI search visibility audit without letting personal search histories and custom profiles skew the results. Here's what this means for you. You get a practical, low-cost playbook for figuring out what AI models actually know about your brand and what they see when…
Summary In today's episode, I break down how to preserve context and data lineage when moving files between AI tools like SQL generators, CSV cleaners, and analysis dashboards. Here's what this means for you. You'll get a practical framework for making sure the "why" behind your data never disappears, no matter which tool you're using.…
Summary In today's episode, I break down why most AI brand visibility tools are unreliable and what you should actually measure instead. Here's what this means for you. You can stop paying for snake oil dashboards and instead use free, vendor-sourced data to track how AI systems actually interact with your site. You'll also learn…
Summary In today's episode, I tackle a listener's question about measuring the organizational ROI of AI when the primary benefit shows up as unquantifiable individual time savings. Here's what this means for you. You'll discover that struggling to measure AI's impact almost always points to a deeper performance measurement problem your organization has not yet…
Summary In today's episode, I walk through how to decide whether to rebuild or pivot when your main marketing channel collapses. Here's what this means for you. You get a clear framework for evaluating opportunity cost and locating where your audience has actually moved. You'll also learn these concepts: how to survey your audience to…
Summary In today's episode, I answer a question about how to set realistic client expectations for marketing A/B testing timelines using data-driven calculators and confidence intervals. Here's what this means for you. You gain a method to build interactive tools that let stakeholders understand and own the risks of their testing decisions. You'll also learn…
Summary In today's episode, I walk through how to use AI coding tools to run cohort churn analysis on your AI-generated leads. Here's what this means for you. You'll be able to determine whether specific lead sources are actually worth your marketing investment. You'll also learn these concepts: how to set up a coding environment…
Summary In today's episode, I walk through how to compare AI bot visibility against human search traffic using Bing Webmaster Tools and a coding-driven analysis approach. Here's what this means for you. You'll discover that the strategy for AI visibility is largely the same as for human search, so you can focus on creating quality…
Summary In today's episode, I walk through the full setup process for tracking AI bot traffic in Google Analytics using Cloudflare Workers as the gatekeeper. Here's what this means for you. You gain a way to finally distinguish machine visitors from human visitors so your analytics reflect reality instead of inflated numbers. You'll also learn…
