Deep dives into the technical logic of GEO and AEO to understand how AI engines discover and cite your brand.
Most marketers track Google rankings. A few track ChatGPT mentions. Almost none are watching what Claude does with their brand, even as Claude Opus 4.8 quietly becomes the engine behind more AI-generated answers across the platforms their customers actually use. That gap is getting expensive. What Claude Opus 4.8 Actually Is (and Where It Sits […]
You’ve narrowed your shortlist to three AI search visibility platforms, and on paper they look nearly identical. Each one promises to track how ChatGPT, Perplexity, and Gemini talk about your brand. What none of the sales decks mention is what you hand over to use them: your prompt strategy, your target keywords, your competitive intelligence, […]
Your team spent a year building content, earning links, and climbing Google rankings. Then a buyer in your category opened ChatGPT and asked for the best option. The model named five brands. Yours wasn’t one of them. Nothing in your SEO dashboard explained why, because those metrics were never built to measure what an AI […]
Your AI visibility dashboard shows a score of 62. Last month it was 58. That looks like progress, until you realize the number can’t tell you which customer questions actually surface your brand and which ones hand the answer to a competitor. A single score averages away the one thing that moves pipeline: presence at […]
Your team spent six months building content, earning backlinks, and climbing Google rankings. Then a prospect opened ChatGPT, asked for the best option in your category, and got a tidy list of five names. Yours wasn’t one of them. Nothing in your analytics flagged it, because traditional metrics were never built to measure what AI […]
Your team can tell you exactly how many people clicked through from Google last quarter. You can pull bounce rates, session duration, and conversion paths down to the individual page. But ask a simpler question, what does ChatGPT say about your brand when a buyer asks for a recommendation in your category, and the dashboard […]
You can pull up your SERP rankings in seconds. You know which keywords moved, which pages gained traffic, and where you sit against competitors. Then a buyer opens ChatGPT, asks for the best option in your category, and gets five recommendations. None of them are you. Nothing in your analytics stack flagged it, because those […]
Your team hit page one for the keywords that matter. Rankings are stable, traffic is steady, the dashboard looks healthy. Then a buyer opens ChatGPT, types a plain question about your category, and reads back a confident answer that recommends three competitors and never names you. None of your SEO reports flagged it, because they […]
You ask ChatGPT to recommend a tool in your category. It names five competitors and skips you entirely. You pull up Google’s AI Overview for your own brand and find a description that’s half wrong: outdated pricing, a feature you deprecated last year. None of this shows up in your social listening dashboard or your […]
Your team spent the last year building domain authority, earning backlinks, and climbing keyword rankings. Then your CMO asked, “Are we showing up when people ask ChatGPT for recommendations in our category?” Nobody on the team had an answer. Not because they weren’t paying attention, but because the tools they rely on weren’t built to […]
Your content team published 30 articles last quarter. Organic traffic went up. Google rankings held steady. But when a potential buyer asked ChatGPT for a recommendation in your category, the AI pulled from three sources you’d never heard of, and your brand wasn’t part of the answer. The gap isn’t in your content volume. It’s […]
You’ve probably done it yourself: typed your brand name into ChatGPT, scanned the response, and either felt relief or dread. That manual spot check felt productive. But it told you almost nothing. You didn’t capture what Perplexity said, what Gemini recommended, or how any of those answers changed a week later. The gap between “checking […]
