Deep dives into the technical logic of GEO and AEO to understand how AI engines discover and cite your brand.
A new frontier model drops, and most marketing teams file it under “developer news.” Claude Fable 5 doesn’t fit that box. When a model gets better at reasoning through a question on its own, it changes which brands it names in an answer and which ones it quietly leaves out. That shift happens whether or […]
A frontier AI model usually gets months in the market before anything shakes it. Claude Fable 5 got three days. It launched on June 9, 2026 as Anthropic’s most capable public model, and by June 12 it had disappeared for every user on the planet. Not a bug. Not an outage. A U.S. government order pulled it […]
Your keyword rankings are holding steady. Your domain authority climbed again last quarter. Then you ask ChatGPT for the best tool in your category, and it cites three competitors and a forum thread. Your brand, the one ranking #1 on Google for that exact query, doesn’t show up anywhere in the answer. The rankings dashboard […]
Your brand shows up when someone asks ChatGPT about your category. The name lands in the answer, and it reads like a win. Then you check the sources the model actually linked, and your domain isn’t one of them. A competitor’s page is doing the citing work. Yours is just along for the ride. That […]
Your next enterprise buyer might never visit your website. Not because they found a competitor first, but because they never searched at all. They handed the entire vendor research project to an AI agent, walked away for an hour, and came back to a finished shortlist. If your brand isn’t on that shortlist, you didn’t […]
Your team spent the last year building domain authority and defending page-one rankings. Then on July 9, OpenAI shipped ChatGPT 5.6, and every assumption baked into those rankings quietly reset. A model generation change isn’t a feature update. It’s a reshuffle of which sources get trusted, which brands get named, and which get filtered out […]
You spent months building a stable brand presence in ChatGPT’s answers. Structured data, entity building, content restructuring. By late June, your mention rate finally looked predictable. Then OpenAI swapped out the engine underneath. On July 9, 2026, GPT-5.6 rolled out across ChatGPT, Codex, and the API, replacing the model that generated most of the AI answers […]
Someone asks ChatGPT whether your brand is trustworthy. The answer it gives pulls from a two-year-old Reddit thread, a forum complaint you resolved long ago, and a competitor’s comparison page. Your review scores are strong, your press coverage is clean, and none of it shows up in the response. That’s the uncomfortable reality of 2026: […]
Your team finally ran an AI visibility check. The report came back: 42 out of 100. Now what? Nobody on the team can say whether 42 is bad, why it’s 42 and not 60, or which of next quarter’s content projects would actually move it. Meanwhile, leadership saw the same number and wants a plan […]
Your monthly performance report has a page for organic traffic, a page for keyword rankings, and a page for conversions. It doesn’t have a page for AI search. Meanwhile, Similarweb’s 2026 consumer research found that over 60% of high-intent purchase research now happens inside AI-native interfaces like ChatGPT and Perplexity, not on traditional results pages. […]
Run the same brand through three AI visibility checkers and you’ll get three different numbers. One says 72. Another says 41. A third says 88. None of them explains why, and none of them agrees on what “visible” even means. Your keyword rankings and domain authority won’t help you here, because they weren’t built to […]
Your CMO asks a simple question in the quarterly review: what’s our AI visibility score? You have screenshots of ChatGPT answers. You have a spreadsheet of Perplexity spot-checks from three weeks ago. What you don’t have is a number. That gap isn’t a reporting problem. It’s a measurement problem. AI answers change between sessions, engines, […]
