LLM Marketing: How to Get Your Brand Recommended by AI Assistants in 2026

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How should you get mentioned by ChatGPT and other AI assistants?

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What do you want to know or change?

Just see if AI assistants talk about my businessFollow it over time against my competitorsBe mentioned more often, starting now

LLM marketing starts from a simple change in buying habits: people now ask an assistant for a shortlist before they visit any website. The NBER working paper "How People Use ChatGPT" (September 2025) estimates that ChatGPT had been adopted by around 10% of the world's adult population by July 2025, and that non-work messages grew from 53% to more than 70% of usage. A brand that is absent from those answers is absent from a growing part of the consideration stage. If you need a refresher on the technology itself, see our definition of an LLM.

What is LLM marketing?

LLM marketing is a brand discipline: shaping what language models know and say about your company, so that you appear in their answers on the questions your buyers ask. It borrows from SEO, content, PR and brand management, and adds one new task: checking the answers of the models themselves. The phrase is ambiguous, so it helps to separate the two meanings.

The second meaning is covered in our guide to AI marketing. LLM marketing is also close to two other practices: GEO marketing, which frames the same goal around generative engine optimization, and LLM SEO, which focuses on the technical and on-page side (crawling, page structure, citations). LLM marketing takes the brand angle: what the model believes about you, how it describes you, and whether it recommends you over a competitor.

Why does LLM marketing matter now?

Because the answer increasingly replaces the click. In a study of 900 US adults, the Pew Research Center (July 2025) found that users clicked a traditional search result on 8% of visits when Google showed an AI summary, against 15% without one, and clicked a link inside the summary on only 1% of visits. When a buyer reads a shortlist of three tools or three suppliers inside the answer, being on that list matters more than ranking fifth below it.

Three consequences for a marketing team follow:

• The shortlist moves upstream. Buyers arrive on your site already convinced, or never arrive at all.
• The description is no longer yours. The model summarizes your brand from many sources, some outdated, some written by competitors.
• Traditional reports miss it. A mention without a click leaves no trace in your analytics, so you need a separate measure.

Sectors differ widely in how often AI answers name brands and which sources they quote; our study of AI citations in marketing shows the pattern for the marketing category itself.

How do LLMs decide which brands to mention?

A model draws on two sources of knowledge, and LLM marketing works on both.

In both cases, the model favors brands that appear often, consistently and in context: your name next to the category, the use case and the attributes buyers ask about. One mention on your own homepage weighs little against twenty independent reviews and comparison pages that say the same thing. Pages that are easy to parse also get quoted more readily; you can test a page with our free LLM readability checker.

How to build an LLM marketing strategy in 6 steps

1. Map the buyer questions that matter

List 25 to 100 questions your buyers would type into an assistant: category questions ("best accounting software for freelancers"), comparison questions ("Brand A vs Brand B"), problem questions ("how to reduce churn in a SaaS") and brand questions ("is Brand A reliable?"). Ask them in ChatGPT, Gemini, Claude and Perplexity and note who is mentioned, in what order, and which pages are cited. This panel becomes your baseline.

2. Fix your brand facts everywhere

Write one canonical description of your brand: what you are, for whom, your main use cases, price range, location and founding facts. Use it on your site, your social profiles, directories, marketplaces and partner pages. On your site, add Organization structured data with sameAs links to your official profiles, which Google documents as a way to understand your organization's details. Our guide to structured data for AI search explains which markup helps and which does not.

3. Publish content a model can quote

Models quote passages that answer a question in a few self-contained sentences. Put the answer first under each heading, define terms, add tables for comparisons and cite sources for figures. The research paper GEO: Generative Engine Optimization (KDD 2024) measured visibility gains of up to 40% in generative answers when content added citations, quotations and statistics. Prioritize the pages that match your question panel: comparison pages, "best X for Y" pages, pricing explanations and use-case guides.

4. Earn mentions on the sites models read

This is the heart of LLM marketing, and the part most brands neglect. Look at the pages cited in your baseline answers: review platforms, industry media, "best of" lists, forums, Reddit threads, YouTube videos. Then work to appear there with digital PR, review requests to real customers, expert contributions and partnerships. Our guide to LLM seeding details how to place your brand on those sources without spamming them.

5. Give journalists and models something new

Original data travels further than opinions. A yearly survey, a benchmark built from your product data or a public index gives media a reason to cite you, and each citation adds your name next to your category in sources models trust. Keep the methodology on a dedicated page so it can be quoted with its context.

6. Measure, correct and repeat

Re-run your question panel every week or month, on the same assistants, and track the trend. When a model describes you wrongly, find the source of the error (an old review, an outdated directory listing, a competitor's comparison) and correct it at the source. The next section details the metrics.

How do you measure LLM marketing results?

Measure on a fixed panel of questions, so that changes reflect your work and not a different sample. Five metrics cover most needs:

A quick check on a single page is possible with our free LLM citation checker. For a recurring process, our guide on how to track brand mentions in AI explains how to build the panel and the reporting. Sorank's AI mention tracking runs this panel automatically: 25 to 150 questions depending on the plan, on ChatGPT, Claude and Gemini (plus Perplexity and Grok from the Pro plan), with the brands cited in your place.

What are the most common LLM marketing mistakes?

• Optimizing only your own site. Models weigh what others say about you; a perfect website with no independent mentions rarely gets recommended.
• Inconsistent brand facts. Three different taglines and two price ranges across profiles produce vague or wrong descriptions.
• Fake reviews and planted forum posts. Platforms remove them, and the trace that remains can hurt how the brand is described.
• Blocking AI crawlers by accident. A robots.txt rule or a firewall setting can stop assistants from reading the pages you want quoted.
• Measuring once. A single screenshot of a ChatGPT answer says little; a tracked panel says a lot.

How does LLM marketing fit with SEO and GEO?

They reinforce each other. Assistants that search the web rely largely on pages that are indexed and rank well, so classic SEO remains the base. GEO adds the formatting and citation work that makes those pages quotable. LLM marketing adds the brand layer on top: consistent facts, third-party presence and measurement of what models say. In practice, one team can own all three with a shared question panel; see how marketing teams use Sorank to combine articles, backlinks and AI tracking in one place.

LLM marketing comes down to being described correctly and often, by your site and by others, on the questions your buyers ask. Start with a panel of 25 questions and one canonical brand description, then build mentions and measure every month. Sorank, an SEO and GEO software that runs on autopilot, writes the articles, obtains natural backlinks and tracks your AI mentions; you can start with a 3-day free trial.