Google AI Overviews share of voice tracking
Share of voice on AI Overviews is the share of samples in which a brand appears against its competitor set, returned with a 95% interval. At n=30 on a moderately volatile prompt that interval is typically around ±16 points.
How it renders
Derived across the sample set from mentions and citations combined.
Sampling
This is the field where n matters most. At n=1 the metric is noise; at n=30 the interval is typically tight enough to defend in a client report.
Gotcha
What the API returns
A single collection call against Google AI Overviews for the share of voice field, sampled n times and returned as one object per prompt.
{
"engine": "google_ai_overviews",
"field": "share_of_voice",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"share_of_voice": [
{
"brand": "Nostimates",
"share": 0.34,
"ci95": {
"low": 0.2,
"high": 0.52
},
"n": 30
},
{
"brand": "Competitor",
"share": 0.21,
"ci95": {
"low": 0.1,
"high": 0.38
},
"n": 30
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| brand | string | Brand from the configured competitor set. |
| share | float | Point estimate across the sample set. |
| ci95 | object | 95% Wilson interval as { low, high }. |
| n | integer | Samples behind the estimate. |
| delta_prior | float | null | Change against the previous run of the same prompt set. |
What it costs
Derived at no extra credit cost, but it scales with n — the interval is bought with samples.
See credit pricing →Google AI Overviews share of voice FAQ
- How many samples do I need for a defensible AI Overview share?
- Thirty is our default and gets most prompts inside ±16 points. The volatility field tells you which prompts need more.
- Does share of voice include unlinked mentions?
- Yes, and you can split it by linked and unlinked if your client reports on citations only.
Report AI Overview share with an interval attached
We'll size the sampling for your prompt set so the number you put in a deck survives being questioned.
Other Google AI Overviews data
Across every engine
Compare how share of voice behaves on every engine we track.
Share of voice across all engines →