LLM SEO to get your site cited by AI search

LLM SEO is the practice of optimizing a website so large language models — and the AI search products built on them, like ChatGPT, Gemini, Perplexity, and Google AI Overviews — surface and cite it. It blends classic SEO fundamentals with AI-specific tactics: answer-first content engines can extract, clear entities and structure, quotable evidence, and topical authority that earns the model's trust.

Regular SEO optimizes to rank in a list of links a person clicks. LLM SEO optimizes to be the source a language model quotes when it answers directly. The surface is a synthesized answer with a few citations, not ten blue links, and the success metric shifts from ranking to being extracted and cited. The fundamentals overlap, but LLM SEO adds answer-first structure and topical depth tuned for extraction.

Language models draw on two things: what they absorbed in training data, and what they retrieve and ground against at answer time. To be cited you need both — broad references across the web so the model knows you, and clean, machine-readable pages it can pull and quote. A recurring finding is that topical authority (deep, consistent coverage of one subject) often beats raw domain authority.

Yes. Meev is an LLM-SEO platform that tracks where you're cited across the major AI search surfaces, turns the gaps into a prioritized action plan, and publishes answer-first content built for topical depth and extraction. It also includes free LLM-SEO tools — an AI SEO audit, llms.txt generator, crawler simulator, and query fan-out generator — with no signup required.

No. LLM SEO complements traditional SEO rather than replacing it. Classic search still drives a large share of discovery, and the topical authority, entities, and quality signals that help you rank also help language models trust and cite you. LLM SEO adds an AI-search layer on top of the SEO fundamentals you already need.