Deep dives into the technical logic of GEO and AEO to understand how AI engines discover and cite your brand.
Your GEO rank tracker says you moved from position 4 to position 2 in ChatGPT last week. Nobody on your team can explain why. Nobody can explain how to hold it, either. Run the same prompt again tomorrow and the number may move again, with nothing on your site having changed. Most teams treat that […]
Your brand held position two in ChatGPT’s answer for six weeks straight. Then on a Monday it showed up at position six. Nothing on your side had changed: no content edits, no lost backlinks, no competitor campaign. The obvious next move is to start fixing something. That’s usually the wrong move. The thing that changed […]
Your GEO rank tracker showed your brand at an average position of 4.1 in March and 3.6 in May. Your VP asks what you did to earn that. You scroll back through the changelog: a pricing page rewrite, two comparison posts, a schema fix, one podcast appearance. Any of them could explain it. None of […]
Your keyword report says the category term you own gets 8,000 searches a month, and you’re sitting at position three. Then a buyer opens ChatGPT and types twenty-three words about their team size, their budget, and the tool they already run. Not one of those words appears in your keyword tool. The answer names three […]
Your keyword list has 300 terms in it. Every one earned its place because a tool showed it had volume. Then an AI engine cites one of your pages, and you go looking for which term did it. Nothing matches. The query that surfaced your page was something like “NCLEX pass rates by nursing school,” […]
Your keyword file has thousands of terms in it. It took years to build, and it still predicts what people type into Google with decent accuracy. Then you pull a month of AI referral data and almost none of the phrasings match anything in that file. Depending on the dataset, somewhere between 65% and 85% of […]
You’ve been optimizing for “best project management software” for months. Rankings are solid. Traffic is steady. Then a potential buyer opens ChatGPT and types: “I manage a 12-person remote engineering team and we’re constantly missing sprint deadlines. What should I change about our weekly standups?” Your page doesn’t surface. Neither does your brand. That question […]
You spent months calibrating your brand’s presence in ChatGPT. Structured data, entity signals, citation-worthy content across the pages that mattered. By late June 2026, your mention rate finally looked predictable. Then OpenAI swapped out the model underneath, and for the first time in AI history, the U.S. government decided who got to use it first. […]
Your brand finally started showing up consistently in ChatGPT’s answers. You tuned your schema, built third-party authority, and watched citation rates stabilize over the spring. Then on July 9, 2026, OpenAI replaced the engine underneath. GPT-5.6 Sol now powers ChatGPT’s advanced reasoning stack, and it processes the same prompts with 54% fewer output tokens than its predecessor. […]
Your brand’s AI search visibility just got split into three lanes. On July 9, 2026, OpenAI launched GPT 5.6 as a three-tier model family: Sol, Terra, and Luna. Each tier runs a different depth of reasoning, pulls from different source pools, and cites different domains. The GEO strategy you calibrated against last month’s ChatGPT model […]
Your keyword rankings are solid. Your domain authority sits at 60+. Your content calendar runs like clockwork. Then a prospect asks ChatGPT, “What’s the best platform for [your category]?” and gets a list of five brands. Yours isn’t on it. That disconnect has a name now: AI brand citation. It’s the metric that tells you […]
Your domain authority is 70. Your keyword rankings haven’t budged in the wrong direction for six months. Then your CMO asks, “Why did ChatGPT just recommend three competitors and not us?” and nobody on the team has an answer. The metrics you’ve been tracking for years don’t measure what AI engines actually do when they […]
