I've done a lot of talks and workshops on AI for marketing teams over the past year or so, and I've noticed something about the Q&A portion that I wanted to write about. A couple of years ago the questions were all about tools. What should we be using? Do you have prompt examples? What's company X doing that we're not? To the extent people were worried, they were sort of worried that a competitor was going to figure this stuff out first.

That's not what people ask me anymore. Now the questions are about jobs, and interestingly, they almost never come up during the session itself. They come afterward when nobody else is around. Is my role going to exist in five years? What am I supposed to tell the 24-year-olds on my team? A couple of people have asked me, and they were serious, whether they should tell their kids not to bother with marketing at all.

Every AI visibility study gives a different number, and the honest ones disagree by multiples. Five things that move the number, the reconciled 2026 ranges, and how to pick the figure that applies to you.

The EU adopted its Google decision eleven days early. AI chatbots made the eligibility list, search data starts flowing in January 2027, and the two-track AEO world I sketched in June now has dates on it.

In-chat AI checkout stalled in 2026, and Walmart's data shows why: a third the conversion, twice the new customers. The pattern that won is discover in AI, buy on your own site, and it changes what marketers build.

By July 27 the EU decides whether ChatGPT and Claude can learn from Google's ranking and click data. If they can, the SEO-versus-AI-citation split you've been planning around may partly close, but only in Europe.

AI bots now outnumber humans on the web, and some crawl 11,000 pages for every visitor they send back. Block, allow, or charge is a real decision in 2026. Here's how to make it without going invisible in AI answers.

Google just told the SEO world that GEO tricks like llms.txt and special schema don't work. The data says Google's right, for Google, and the other AI engines are playing an entirely different game.

OpenAI just opened ChatGPT ads to everyone with no minimum spend. What a month of data says about paid placement, organic citations, and where to put your AEO budget before Q4.

There's a take making the rounds on Reddit and LinkedIn that goes about like this. AEO is a con. You can't track citations from a language model, the output is probabilistic, the model won't tell you why it picked anyone, so no amount of optimization work can move your visibility. A lot of them have done SEO for fifteen+ years and they're watching a fresh acronym get sold to clients with the confidence of a timeshare pitch. I get the reflex and they aren't fools for thinking that way.

Two Christmases running, Coca-Cola rebuilt its old "Holidays Are Coming" ad almost entirely with generative AI. The first attempt, in 2024, got called soulless and creepy within hours of going up. McDonald's tried its own AI Christmas spot in 2025 and pulled it within days after people savaged it. The footage in both was clean enough, the production cost was a rounding error next to a real shoot, and the brands had every rational reason to do what they did, but people unanimously hated it anyway. What bothered people had nothing to do with a glitchy hand or an extra finger. The ad felt made by nobody, for nobody, and watching it felt like a small insult.

I went through my own referrer log for the last 30 days and counted the AI-source visits. The picture isn't what the dashboards show. Here's what Claude.ai, Perplexity, NotebookLM, and a newsletter blast taught me about measuring AI search visibility in 2026.

New York's new AI disclosure law (S.8420-A) takes effect June 9, 2026. The compliance story has been covered. The bigger question for marketers is what happens to AI search visibility when "AI-generated" labels enter the visual web at scale.

I watched the Sundar Pichai keynote yesterday morning expecting the usual rhythm. A few model benchmarks, a couple of consumer demos, some developer plumbing, and maybe one feature that would matter for marketers in around eighteen months. That’s been the pattern at Google I/O for a decade, and you take notes, write a quick reaction, and move on. This time, it didn’t fit that pattern at all.

A consulting client walked me through her marketing operation a few weeks ago, and somewhere around minute twenty I realized I was looking at a list of every AI tool that’s been written up in Marketing Week since 2024. The AI-assisted content platform was in there, along with the lead-scoring add-on for the CRM and the new agentic follow-up tool that everybody on LinkedIn keeps posting case studies about. She had the budget for all of it, the team had the training, and her pipeline number was no different than it was eighteen months ago. It’s the same conversation I’ve been having with five other clients this year, which is why I finally decided to write about it.

ChatGPT brand citations dropped 41% in February and came back to 90% by late March. The volume recovered, but the list of who gets cited did not. Why the standard reading of the data is wrong, and what to do about it this quarter.

When you ask ChatGPT or Perplexity a question, how much of the answer is shaped by what the model knows about you? Here's what personalization actually does.

A scam text led me to a fake Oklahoma DPS page. I opened DevTools and found a phishing kit running tighter marketing measurement than most eight-figure programs. Here is what it teaches marketers about the AI search era.

Adobe finished buying Semrush this week and slipped a new acronym into the press release: ASO, agentic search optimization. The shift is real. The framing is partly marketing. Here's the honest read on what's new, what isn't, and what to add to your work if you've already been doing GEO. With sources, numbers, and a six-item readiness checklist.

In March, Ahrefs published an updated study of 863,000 keyword SERPs and roughly 4 million AI Overview URLs. The headline finding? Only 38% of pages cited in Google’s AI Overviews also appeared in the top 10 organic results for that same query. Seven months earlier, the same study had pegged that overlap at 76%.

A separate BrightEdge analysis put the overlap even lower, somewhere around 17%. Methodology differs across the studies, so I wouldn’t bet the house on any single percentage, but the studies all point the same direction, which is what I care about.