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What is it?

Position measures where your brand appears within an AI Search Engine responses. It answers: “When I am mentioned, how prominently?” In LLM answers, order matters. First position usually means strongest authority. In the SEO world, this is similar to ranking higher in a Google search. The higher you rank, the more likely you’ll be notices.

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How is it calculated?

Average Position = Sum of all ranking positions / Total number of mentions A lower score is better, where a position of 1 would indicate that you’re at the top of the AI Search engine response for that prompt.

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Why Track It?

Because visibility alone is not enough. If your brand always appears third or fourth, you’re being presented as a secondary option, not as the industry leader. High position signals:
  • Higher trust assigned by the AI
  • Stronger authority signals in your documentation or content
  • Better alignment between your messaging and user intent
Low position usually highlights:
  • Poor technical documentation
  • Competitors with stronger content signals
  • Missing entity definitions, schemas, or public data
  • Outdated messaging the AI considers less relevant

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Real Use Cases

1. “Always mentioned but never first”
A productivity tool is mentioned in 80% of responses, but always after two larger competitors. Position data uncovers the brand’s “second-tier” status in LLM reasoning. 2. Tracking category leadership
AI consultants and growth teams measure whether their product moves from average position #3 to #1 after updating docs, PR, or developer content. 3. Drift detection
If an LLM starts ranking a lesser-known competitor above you, that’s a red-flag early signal.