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GEO7 min read·

LLM SEO: what it is and how to do it (ChatGPT, Gemini & more)

LLM SEO — also called generative AI SEO or SEO for ChatGPT — is optimizing your brand to appear in AI answers. Here's what it means and how to actually do it.

Northstar Digital

LLM SEO is the umbrella term for optimizing your brand to appear in the answers large language models give — ChatGPT, Gemini, Perplexity and Claude. You will also see it called generative AI SEO or SEO for ChatGPT. Whatever the label, the shift is the same: search is moving from a list of links you rank in to a single answer you need to be cited in. Here is what LLM SEO means and how to actually do it.

What is LLM SEO?

LLM SEO is the practice of making your content and brand easy for a language model to find, trust, and quote when it answers a question. It overlaps heavily with two more precise terms: generative engine optimization (GEO) and answer engine optimization (AEO). “LLM SEO” is simply the phrase most marketers reach for first, because it frames the new work as an evolution of SEO rather than a separate discipline.

How is it different from traditional SEO?

Traditional SEO earns a ranked position in a list of links. LLM SEO earns a citation inside a generated answer, where the user often acts without clicking at all. The foundations overlap — crawlable pages, structured data, real authority — but the target is different. For the full breakdown, see GEO vs SEO.

How LLM SEO works

Models answer from two things: the training data that shapes their baseline view of your category, and the live sources they retrieve at answer time. LLM SEO works on both. The levers are consistent across every engine:

  • Citable content — answer-first pages with clear, attributable claims a model can lift intact.
  • Entity clarity — a consistent representation of your brand and products across the web's reference sources.
  • Third-party trust — mentions on the reviews, forums and publications models weight as proof.

SEO for ChatGPT specifically

ChatGPT is the engine most people mean when they search for “LLM SEO.” Because it both draws on training data and browses live sources, the work is to be the brand it already associates with your category and the source it retrieves when it browses. Our guide to ranking on ChatGPT breaks the steps down in detail.

How to measure LLM SEO

Since there is no single rank, you measure AI Share of Voice: how often each engine mentions and recommends you for your category's questions, the sentiment, and which sources drive those answers. Beacon, our AI visibility tool, tracks this across ChatGPT, Gemini, Perplexity and Claude — plus Google AI Overviews on the audit side. That measurement loop is what turns LLM SEO from a guess into a managed program, delivered through our generative engine optimization services.

Frequently asked

Is LLM SEO the same as GEO and AEO?

Largely, yes — they describe the same shift. LLM SEO is the everyday umbrella term; generative engine optimization (GEO) and answer engine optimization (AEO) are the more precise names for getting cited in generative answers and direct-answer boxes respectively. Most brands run them as one program.

What is SEO for ChatGPT?

It's LLM SEO focused on ChatGPT specifically: making your brand the one ChatGPT associates with your category and the source it retrieves when it browses. It relies on citable content, a clear brand entity, and trusted third-party sources rather than keywords and backlinks alone.

How do you measure LLM SEO results?

By AI Share of Voice — how often ChatGPT, Gemini, Perplexity and Claude (plus Google AI Overviews on the audit side) mention and recommend you for your category's questions, with sentiment and citation sources. Because India search volume for these terms is still emerging, Share of Voice is often a better near-term KPI than Google rank.

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