What is Share of LLM Presence?
Share of LLM Presence is a measure of how AI models, also called large language models or LLMs, describe, rank, and recommend a brand, on its own and against its competitors. It looks at whether a brand shows up in AI answers, how it's described, and how often it's recommended.
It's the AI-era counterpart to share of search. Share of search shows how often people look for a brand by name. Share of LLM Presence shows how often AI assistants bring a brand up when people ask them for advice.
How is Share of LLM Presence measured?
The general approach is to ask a range of AI models the kinds of questions buyers ask in a category, then record which brands appear, where they rank, and how they're described, repeated over time.
| What is tracked | What it shows |
|---|---|
| Presence | Whether the brand appears in AI answers at all |
| Rank | Where it appears relative to competitors |
| Description | How favorably and accurately it's characterized |
| Change over time | Whether AI visibility is growing or slipping |
What is an example of Share of LLM Presence?
Present in search, missing in AI answers
A brand ranks well in search results for its category. But when people ask AI assistants for the best options in that category, competitors are recommended first and the brand is rarely mentioned.
Tracking Share of LLM Presence reveals the gap, so the team can see where AI visibility lags its search visibility and track whether that changes over time.
Share of LLM Presence vs. share of search
| Share of search | Share of LLM Presence | |
|---|---|---|
| What it measures | A brand's share of category search volume | How AI models describe, rank, and recommend a brand |
| Where demand shows up | Search engines | AI assistants and chat answers |
| What it reflects | Active interest in the brand | How the brand is represented in AI answers |
| Best used | Together, as signals of brand strength | Together, as signals of brand strength |
Why does Share of LLM Presence matter?
People increasingly ask AI assistants what to buy, compare, or trust. If a brand isn't part of those answers, it can lose consideration before a buyer ever visits a search results page.
- A new place demand forms. For some buyers, the AI answer is the shortlist.
- A competitive signal. It shows how a brand stands against competitors in AI answers.
- An early warning. Slipping AI visibility can show up before sales do.
How does Alli do this?
Share of LLM Presence is one of the signals in Alli Brand Equity. It tracks whether your brand appears, where it ranks, and how it's described across a range of AI models, against your competitive set and over time.
Alongside signals like share of search, sentiment, and pricing power, it feeds a weekly brand equity score, viewed both against your competitive set and against your own history.
Explore Alli Brand EquityShare of LLM Presence FAQ
What is an LLM?
An LLM, or large language model, is the type of AI model behind most AI assistants and chatbots. It generates answers to questions in natural language.
Why does brand visibility in AI answers matter?
More buyers now ask AI assistants for recommendations. If a brand isn't mentioned, or is described poorly, it can lose consideration before buyers reach a search engine or website.
Is Share of LLM Presence the same as share of voice?
It's related. Share of voice usually measures a brand's share of advertising or conversation. Share of LLM Presence looks at one place, the answers AI models give, and how a brand is described and recommended there against competitors.
How is Share of LLM Presence different from SEO?
SEO focuses on ranking in search results. Share of LLM Presence measures how AI models represent a brand in their answers, which search rankings alone don't show.
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