Sample data. yoursite.com is a fictional brand and every figure below is generated, not measured.

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Sample workspace · yoursite.com · fictional

What the assistants say when someone asks about you

24 questions · 6 engines · 90 days · every figure ships with its readings

The headline

AI Visibility Score

Mirrors/dashboard

Visibility

54/ 100

n = 1,320 readings · 708 named the brand · 53.6% rounded to a whole score · 95% CI 50.9%–56.3%

Change over the window

+12.3

Against the first reading of the 90-day window. Part of this is a model change, annotated on the chart.

Sample size

1,320

24 prompts × 6 engines ≈ 55 readings per prompt. Thin engines are shown thin rather than hidden.

Share of voice · yoursite.com

31.4%

Of every brand named across the same readings. This brand leads the set.

Window: 90 days ending 1 Sep 2026. Interval is a 95% Wilson score interval on the pooled proportion — it stays inside 0–100 where the textbook interval would not, which matters for the thinner engines.

The share of readings in which an assistant named this brand unprompted. Nothing is weighted and nothing is smoothed — add up the table below and you get this number back.

By engine

Six engines, six different answers

Mirrors/dashboard
Mention rate, average position, sentiment and retrieval mode per engine
EngineModeReadingsNamedMention rate95% CIAvg. positionSentiment
ChatGPTGroundedSearches the web before answering24015062.5%56.2%68.4%2.1Positive +0.44
ClaudeFrom memoryAnswers from model knowledge24013656.7%50.3%62.8%2.5Mildly positive +0.34
PerplexityGroundedSearches the web before answering24016870.0%63.9%75.4%1.6Mildly positive +0.28
Google GeminiFrom memoryAnswers from model knowledge24011748.8%42.5%55.0%3.2Mildly positive +0.12
Microsoft CopilotGroundedSearches the web before answering1687444.0%36.8%51.6%3.4Neutral +0.06
Google AI OverviewsRead from the pageRead from the live results page1926332.8%26.6%39.7%4.1Neutral -0.04
PooledAll six1,32070853.6%50.9%56.3%

Average position is the mean rank among the brands named in an answer, over the readings that named this one. Copilot and Google AI Overviews ran fewer readings because their surfaces were unavailable on some days — the count says so rather than the gap being filled in.

An engine that searches before answering is telling you what a buyer sees today. One answering from memory is telling you what it learned months ago. Reporting them as one number is the claim a competitor would attack, so the mode is on every row.

90-day trend

The line, with the model change marked on it

Mirrors/dashboard
0255075100Gemini 3.14 Jun4 Jul2 Aug1 SepVisibility score over 90 days, from 41.7 on 4 Jun 2026 to 54 on 1 Sep 2026, with a model change annotated on 5 Aug 2026.

Model change · 5 Aug 2026 · Gemini 3.1

Gemini shipped a retrieval change on this date. The step is in the data, not in your site — the annotation is there so nobody reads it as a win.

A step in the line is usually an engine changing, not a brand improving. When a model ships, the annotation goes on the chart so a jump is never read as a win you earned.

Share of voice

Against the three brands you actually lose to

Mirrors/competitors
Share of voice against three named competitors
BrandShareShare of voiceMentions
yoursite.comYou31.4%712
Northlake24.8%561
Quantly18.2%412
Beacon Field12.6%286
Everyone else13.0%294

Denominator is every brand mention in the 1,320 readings, not just the four named here. “Everyone else” is the long tail, kept in so the shares add to 100.

Of every brand named across the same readings, this is who got named and how often. The names below are invented for this demo; in a real workspace you choose them.