Practical insights from the front lines of AI-driven marketing. No fluff.
Google Analytics 4 now isolates AI chatbot traffic into its own dedicated channel, making referrals from ChatGPT, Gemini, and Claude measurable for the first time at scale. For brands investing in AI visibility, this changes how you prove the work is paying off.
We released our AI-powered Google Ads management platform as a free, open-source project. It gives you a Claude-powered chat assistant with live access to your Google Ads data - and the ability to make changes on your behalf. Here is why we built it, what it does, and what we learned.
Google has quietly updated its documentation to acknowledge that search terms reports may now show inferred intent rather than the actual query a user typed or spoke. For PPC managers relying on that data to shape match types, negatives, and audience signals, the implications are significant.
Google has expanded vehicle ads beyond Performance Max, making them available in Standard Shopping campaigns for the first time. For automotive advertisers, this reopens a debate that the industry thought was settled: how much control do you actually want over your paid search campaigns?
Research tracking nearly 1,900 pages found that adding schema markup produced almost no meaningful movement in AI citation rates. The gap between cited and non-cited pages tells a more complicated story than the structured data evangelists would have you believe.
There is a striking parallel between how humans and AI models extract meaning from text - and it has direct implications for how brands structure content to earn citations. Getting your writing right at the page level is increasingly where AI visibility is won or lost.
Google is rolling out Smart Bidding Exploration to Performance Max with product feeds and Shopping campaigns, alongside budget pacing for Search and Shopping. The question for advertisers is not whether these tools work - it is what you give up when you let them run.