The plain-language version of GEO — what it means, why it exists, and what's genuinely in your control right now.
Generative engine optimization (GEO) is the practice of making your brand more likely to be mentioned, cited, or recommended by AI assistants — ChatGPT, Claude, Gemini, Perplexity, and Google's AI Overviews — when someone asks a question your brand is relevant to. Where SEO is about ranking a page in a list of blue links, GEO is about whether an AI system decides your brand is worth naming in its synthesized answer. Search Engine Land frames it as structuring your content and digital presence so AI platforms can retrieve, cite, and recommend your brand when answering user questions.
It exists because buyer behavior changed faster than most marketing teams noticed. A growing share of searches never send a click anywhere: SparkToro's ongoing zero-click research found that in early 2026, 68% of Google searches ended without a click, up from roughly 49% back in 2019 — and the acceleration is tied directly to the growth of AI Overviews and AI-generated answers replacing the list of links. Ahrefs has separately tracked AI Overviews appearing on a fast-growing share of US searches, with the presence of an AI Overview cutting click-through to the top organic result by roughly a third (Ahrefs, GEO guide).
Put simply: buyers increasingly get their answer inside the AI interface, whether that's Google's AI Overview or a direct question to ChatGPT or Claude. If your brand isn't part of that answer, you don't just rank lower — you're often invisible for that entire interaction, because there's no page 2 to scroll to.
The two aren't rivals, but they optimize for different outputs:
Search Engine Land's own summary of this shift is blunt about the overlap: "good SEO is good GEO" — clear, authoritative, well-structured, genuinely useful content still tends to perform in both worlds, because both traditional search engines and AI models are ultimately trying to find and summarize good information.
This is the part where honesty matters more than confidence. Nobody outside Anthropic, OpenAI, or Google has the actual ranking algorithm for what a model chooses to mention — there isn't a public "GEO ranking factors" spec the way there's a rough consensus on SEO factors built over two decades of testing. What we do have is correlational research, which is useful but not the same as causation.
Ahrefs analyzed AI visibility across roughly 75,000 brands and found some patterns worth taking seriously: YouTube mentions showed the strongest correlation with AI visibility of any signal they tested (~0.737), and branded web mentions overall correlated highly too (0.66–0.71) — see Ahrefs' brand visibility correlation study. Separately, reporting on how ChatGPT surfaces recommendations points to third-party validation — press coverage, review consensus, high-authority reference sites like Wikipedia — mattering more than on-page tricks (Profound).
What's genuinely unknown: the exact weighting a specific model uses at a specific moment, how much a single new blog post moves the needle, or whether an update to Claude's or ChatGPT's training/retrieval pipeline will make today's pattern stop working tomorrow. Anyone promising a guaranteed formula is guessing. GEO right now is closer to "improve the signals that plausibly matter and measure your actual outcome" than "follow these 10 steps and rank #1."
That last point is the whole reason Mentioned exists: it asks Claude 5 realistic buyer questions about your category and reports, with real quoted snippets, whether your brand actually showed up — no modeling, no estimate. See the full methodology for exactly how the score is computed.