AI Share of Voice

AI share of voice is the percentage of AI-generated answers in your category that include your brand, measured against the competitors who appear in the same answers. It reframes visibility as a competitive share: not just whether you show up, but how big your slice is versus everyone else.

Why it matters

A rising mention rate can still mean falling ground if competitors are rising faster. Share of voice captures the competitive reality a raw mention count misses, and it maps cleanly to the question executives actually ask: are we winning or losing the AI channel against our rivals?

How to measure it

You measure AI share of voice by running category prompts across each engine, counting how often your brand appears versus each competitor, and expressing yours as a percentage of the total. Tracking it per model and over time shows where your slice is growing or shrinking.

Share of voice %
Your slice of category mentions.
Head-to-head win rate
You versus each rival.
Per-engine share
SoV broken down by model.
Trend
Whether your slice is growing.

Example prompts

Best [category] tools
Top [category] software for [audience]
Most popular [category] platforms
Recommended [category] tools in 2026

How Rankry helps

Rankry computes your AI share of voice against the specific competitors who keep appearing in your answers.

  • Head-to-head win rate against up to five named rivals
  • Share of voice broken down per engine and trended weekly
  • Pinpoints the prompts where your slice is smallest
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Related

FAQ

AI share of voice questions

How is AI share of voice calculated?
Count how often your brand appears across a set of category prompts, count how often each competitor appears in the same answers, and express yours as a percentage of the total brand mentions. Track it per engine and over time.
Why use share of voice instead of mention rate?
Mention rate can rise while you still lose ground if competitors rise faster. Share of voice is relative, so it reflects the competitive picture that a standalone count hides.
Can I track share of voice per AI model?
Yes, and you should. Your slice can be large on one engine and small on another, so a per-model breakdown shows exactly where to focus.