LLM position

What LLM position answers

LLM position answers an important AI search question: when your brand appears in an AI-generated answer, how prominently is it positioned?

Instead of measuring only whether the brand appears, LLM position looks at where the brand is observed within eligible AI responses. This helps teams distinguish between simple presence and stronger positioning within the generated answer.

By analyzing position across prompts, prompt groups, platforms, and time periods, teams can understand where the brand receives stronger placement and where competitors may be appearing more prominently.

What can you learn from LLM position?

LLM position helps you understand the prominence of your brand when it is included in an AI-generated response.

You can use it to compare positioning across different AI platforms, identify prompts where the brand appears earlier or later in an answer, compare performance across groups of related prompts, and monitor how average position changes over time.

Prompt-level and platform-level position remain dimensions of the same LLM position metric rather than separate metrics.

LLM position definition

LLM position is the average observed position of a brand across eligible AI-generated responses in which its position can be evaluated.

The metric focuses on prominence rather than presence. AI visibility tells you whether your brand appears, while LLM position provides additional context about where the brand appears when it is included.

Formula

LLM position = Sum of observed brand positions / Number of eligible responses
Or, more simply:
LLM position = Average observed brand position across eligible responses

Atomic defines the canonical logic as the average observed brand position across eligible responses.

A lower average position generally represents earlier placement within eligible answers, while a higher value indicates that the brand tends to appear later.

Dimensions

LLM position can be analyzed across relevant dimensions without creating separate metric pages for each view.

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Prompt-level LLM position, platform LLM position, and top-result views are treated as dimensions or presentation context of the same canonical metric.

What makes LLM position different?

LLM position measures prominence inside AI-generated answers rather than simply measuring whether your brand appears.

For example, two brands may have similar AI visibility because both appear in a similar percentage of tracked responses. However, one brand may consistently appear earlier or more prominently within those answers.

LLM position helps capture that difference.

This makes it complementary to AI visibility. AI visibility measures frequency of appearance, while LLM position measures observed placement across eligible responses.

How to utilize LLM position in practice?

Use LLM position to understand how prominently your brand is represented when AI systems include it in their answers.

Measure brand prominence

Track average LLM position to understand whether your brand generally appears earlier or later within eligible AI-generated responses.

This adds an additional layer of context to AI visibility by showing not only whether the brand appears, but how it is positioned when present.

Compare AI platforms

Analyze LLM position by AI platform to identify differences in brand prominence across the systems you track.

A brand may appear prominently on one platform while receiving weaker placement on another, even when overall visibility is similar.

Analyze individual prompts

Review LLM position at the prompt level to identify specific questions where your brand receives strong placement and prompts where it appears later in the response.

This can reveal positioning gaps that are hidden inside an overall average.

Compare prompt groups

Group related prompts to understand positioning across broader topics, categories, products, or use cases.

This helps teams determine whether stronger or weaker positioning is concentrated around specific areas of the market.

Track position changes

Compare LLM position over time to understand whether your brand is becoming more or less prominent across tracked AI responses.

Because position change is a trend of the same metric, it remains part of the LLM position page rather than becoming a separate metric.