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LLM SEO Optimization — AEO + GEO for AI Search

LLM SEO Optimization — Getting Cited by ChatGPT, Gemini, Claude & Perplexity

LLM SEO (also called AI SEO, AEO, or GEO) is the work of making your brand the answer when someone asks an AI assistant a buying-intent question. It is not a separate channel from traditional SEO — it is the next layer on top of it. SalemGlobal has been doing the SEO half since 1997, and our LLM optimization program is built around the same principle: earn authority, structure information cleanly, and make it easy for machines to extract.

How LLMs Actually Choose Who to Cite

Large language models pull recommendations from two sources: (1) the static training corpus they were trained on, which contains years of web content, books, forums and articles, and (2) live retrieval from the open web at query time (Perplexity, Bing-powered Copilot, Gemini with grounding, ChatGPT with browse). Both pathways reward the same signals: clear entity definitions, consistent brand mentions across many third-party sources, structured content, factual accuracy and freshness. Earn those signals consistently and you become the default answer.

Our LLM Optimization Playbook

Every LLM SEO engagement runs through this checklist:

  • Crawlability for AI bots — allow GPTBot, Google-Extended, ClaudeBot, PerplexityBot, Applebot-Extended, cohere-ai and CCBot in robots.txt (the wrong defaults block them entirely)
  • Structured data on every key page — Organization, Service, Article, FAQPage, HowTo, BreadcrumbList, Product — emitted as JSON-LD so models can extract entities cleanly
  • Answer-formatted content — pose the question in an H2 or H3, then answer it in the first 2-4 sentences in plain prose (no lead-in fluff)
  • Entity disambiguation — sameAs links, consistent NAP, Wikipedia/Wikidata presence where appropriate, and clear founder/team bios
  • A llms.txt file at the root summarizing your site for LLM consumption
  • Citations from authoritative third-party sources — digital PR, podcast appearances, expert roundups, industry directories
  • Topical depth — pillar pages plus 8-15 supporting articles per topic, internally linked, so models treat you as the source on a subject
  • Freshness signals — datePublished and dateModified on every article, regular content refreshes, news-style coverage of industry shifts
  • Reviews and social proof — Google, Clutch, G2, Trustpilot — LLMs read these when forming recommendations
  • Tracked AI prompt monitoring — weekly checks of buyer-intent prompts across ChatGPT, Gemini, Claude, Perplexity, Copilot

AEO vs. GEO vs. LLM SEO — What's the Difference?

AEO (Answer Engine Optimization) focuses on content formatting so it can be lifted into direct answers — featured snippets, voice answers, AI Overviews. GEO (Generative Engine Optimization) focuses on the off-site mention and citation profile that gets your brand named inside generative AI responses. LLM SEO is the umbrella term covering both, plus the technical foundation. In practice they overlap and we run them together.

Measuring What Works

We track a portfolio of buyer-intent prompts that your customers actually ask, run them weekly across ChatGPT, Gemini, Claude, Perplexity and Copilot, and report three things: brand mention rate, sentiment/positioning of the mention, and competitor share-of-voice. Combined with traditional Google rank tracking and organic traffic, this gives a complete picture of search visibility across both classic and AI surfaces.

Get Started

LLM optimization compounds — the brands that start now will dominate AI search by 2027. Read our SEO, AEO & GEO overview, our AI SEO agency page, and our free 2026 digital marketing guide — or call us to talk through your specific situation.

Want to be the brand ChatGPT recommends?

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212-222-3292

Digital Marketing Experts since 1997