SEO is fundamentally important to having good visibility on answer engines. Recently, we analyzed over 100,000 AI prompt responses across five major answer engines: ChatGPT, Google Gemini, Google AI Overviews, Perplexity, and Grok. The brands ranking on the first page of Google were significantly more likely to be mentioned by every major LLM platform we analyzed. Anyone that tells you SEO is dead…is oblivious to how LLMs work 😆. That’s not who you should be listening to when it comes to AEO (GEO, AIO, Answer Engine Optimization or whatever you want to call it)

Want to increase your chance of being cited by ChatGPT/Gemini (or other LLM) responses? Structure content for answer engines. Try using "Atomic Answers." What is an Atomic Answer? A short, standalone block that clearly and completely answers ONE specific question. It doesn't rely on surrounding paragraphs. Everything needed to understand the answer is right there, beneath your heading. The 3 pillars: 1. The Question-Header Match (The “Anchor”) ChatGPT and Google Gemini will perform “Query Fan-Outs”, generating multiple sub-query searches related to the initial prompt. Use content that generates answers for the QFOs (Query Fan-Outs), especially if you can do so in your H2s. 2. High “Information Gain” (The “Signal”) AI models prioritize incremental value. If your content simply repeats what is on Wikipedia, the AI has no reason to cite you. An Atomic Answer ideally provides a unique data point, a proprietary framework, or a specific insight that isn’t found elsewhere. 3. Declarative Density (The “Structure”) Atomic Answers avoid fluff. They use clear, declarative language that states facts directly.