Category: Guides

LLM SEO (also called LLMO, Large Language Model Optimization) is optimizing content so large language models like ChatGPT and Perplexity surface and cite it. Here’s what the terms mean, how they relate to GEO and AEO, and why they’re the same discipline under a new label.

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Answer Engine Optimization (AEO) is structuring your content so answer engines — featured snippets, AI Overviews, ChatGPT, Perplexity, voice assistants — extract and surface your answer directly. Here’s what AEO is, how it differs from SEO and GEO, and how to do it.

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llms.txt is a Markdown file at your site’s root that maps your key pages for AI models — a “robots.txt for AI.” Here’s what it is, what it looks like, and whether AI search engines actually read it, backed by 2026 data.

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The best GEO tools in 2026 by size — start free with Bing Webmaster Tools, then Otterly.AI, Peec AI, SE Ranking, and Profound for enterprise. An honest, hands-on comparison with free options first.

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Build a GA4 view that isolates referrals from ChatGPT, Perplexity, Gemini, and Copilot — turning GEO from a guess into a measurable channel.

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Expect meaningful GEO results in about 2 to 6 months. Here’s a realistic month-by-month timeline and what makes it faster or slower.

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For most online-discovered brands, GEO is worth it as search shifts to AI answers. Here’s an honest framework for whether and when to invest.

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AI engines don’t count backlinks like old PageRank — but links still shape citations through ranking, authority, and corroboration. Here’s the nuance.

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