Share of voice in AI
What matters is not your presence in absolute terms, but your presence relative to your competitors.
Definition
Share of voice in AI refers to the share of presence, citation and recommendation of a brand, compared to that of its main competitors, across the same set of tracked prompts in AI engine answers.
Key takeaways
- A decent citation rate can hide a low share of voice if competitors are cited far more often.
- Share of voice in AI is best read prompt by prompt and engine by engine, not as a single global figure.
- It is a relative metric: it only makes sense compared to a clearly identified competitor panel.
- Tracking its evolution over time helps detect a gradual substitution by a competitor.
Explanation
The concept is close to the share of voice used in advertising or PR, transposed to AI-generated answers: across a set of strategic prompts, what proportion of mentions and recommendations goes to your brand rather than your competitors?
This metric is particularly useful for detecting a gradual competitive substitution: a brand can remain cited in absolute terms while losing relative ground to a competitor gaining in citation frequency or recommendation quality on the same prompts.
To be usable, share of voice in AI requires a stable competitor panel and identical prompts tracked over time, engine by engine.
Go further
AIglebotBetaAIglebot helps companies track their visibility, reputation and recommendation in ChatGPT, Gemini, Perplexity and Claude.