Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 15 → 16 of 51
Google · 2 categories · Named, not rankedGoogle Meet
21Judge labels
1First choices
8Negative labels
10 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Google Meet was named 8 times in Webinars and 1 other category, where Livestorm led with 25%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business16 of 52
0%6 labels
under the label threshold
Mid-market14 of 67
2%7 labels
under the label threshold
Enterprise50 of 51
0%6 labels
under the label threshold
In webinars · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Google Meet for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Webinar and virtual event platforms | Marketing | 2% | 14 of 67 | 14% | 7 | under 10 labels · led by Livestorm at 25% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer education and LMS | Customer | 0% | 49 of 86 | 0% | 1 | under 10 labels · led by LearnUpon at 26% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Google Meet held within the floor in all two categories: no change cleared 11 points.
Best category · Webinars · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 21 → 12 of 63
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 38 → 43 of 44
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Webinars | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 21 → 14 of 67 |
| Customer education | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 49 of 86, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Google Meet across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Google Meet across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct1 labelNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained9 labels1
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative21 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Zoom, Google Meet, and FreeConferenceCall.com are the most cost-effective for webinars” Mistral Small · Webinars · budget prompt · first choice
“free for users with a Gmail account and offers a feature-rich experience” Claude Haiku 4.5 · Webinars · budget prompt · alternative
“Go with Luma + Google Meet (for up to 100 attendees)” Gemini 3.5 Flash · Webinars · budget prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“it is a video calling tool, not a dedicated webinar platform, with no registration pages” Perplexity Sonar · Webinars · negative prompt · hard negative
Named alongside
The products named in the same answers as Google Meet, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Meet was named but was not.ShowHide
Named alongside
The products named in the same answers as Google Meet, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Meet was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Google Meet. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 20 of the 21 answers that named Google Meet and are not a share of its labels.
Domains cited
easywebinar.com13
livestorm.co12
webinarninja.com8
airmeet.com7
demio.com7
eventify.io7
learn.g2.com7
remo.co7
bizzabo.com6
blog.hubspot.com6
Eighty of the eighty domain citations in answers naming Google Meet came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Google Meet stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Google Meet stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 1,830,000 a month (“google meet”)
- AI search demand for its name, est.
- 14,073 a month
- Its own site
- It sits on Google's site (google.com), so there are no site figures for it alone
In answers
This editionShare of first choices
2%
rank 14 of 67 in webinars
Segment leader
25%
Livestorm
- First choices
- 1 across its categories
- Named in
- 21 answers
- Its own site cited
- in 20 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Follow Google Meet
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Google is the company behind Google Meet.ShowHide
The company
Google is the company behind Google Meet.
ShowHideOn record
Wikidata- Website
- google.com
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Ownership
- Part of Alphabet Inc.
- Also from Google
- Adometry, Attribution 360, BigQuery, Firebase, Google ADH, Google Ad Manager, Google AdMob, Google AdSense and 81 more
Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Google Meet's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Google Meet, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Google Meet by email, built from the raw record of the edition. It shows:
- where Google Meet is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Google Meet, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.