HR AI Index
Index Vendors › Google Meet · September 2026 Edition
2 categories · Named, not ranked

Google Meet

14Judge labels
1First choices
6Negative labels
10 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, 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 Video interviewing and 1 other category, where Spark Hire led with 55%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In video interviewing · 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Video interviewingTalent acquisition0%14 of 4029%7under 10 labels · led by Spark Hire at 55%
Frontline employee appsOnboarding and employee experience0%80 of 97100%1under 10 labels · led by Connecteam at 56%

Movement

This is the first edition on this tier, so no move can be computed for Google Meet yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Google Meet across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash10001
Perplexity Sonar00011
Grok 4.1 Fast01001
Mistral Small00011
DeepSeek V4 Flash02002
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.500000

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 label1
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained3 labelsNone
Scale-constrained0 labelsNone
Negative7 labels1not counted in share
First choiceAlternativeMentionNegative14 labels in all, every segment counted; 1 of the 2 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.

“Two-Way or Live Video (e.g., Zoom, Microsoft Teams, Google Meet)” Gemini 3.5 Flash · Video interviewing · negative prompt · first choice
“Low | Live video interview tools (Zoom, Microsoft Teams, Google Meet) | Generally safe” DeepSeek V4 Flash · Video interviewing · negative prompt · alternative
“Google Meet or Zoom (Completely Free for Live Interviews)” Grok 4.1 Fast · Video interviewing · budget prompt · alternative
“you can use Google Meet for live interviews” DeepSeek V4 Flash · Video interviewing · 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.

“Google Meet – Harvests 21 data types” GLM 4.7 FlashX · Frontline employee apps · negative prompt · hard negative
“General-purpose video tools sometimes used for interviews, but lack specialized hiring features.” Mistral Small · Video interviewing · comparative prompt · soft negative
“they are weaker choices as the *primary* platform because they lack hiring-specific workflows” Perplexity Sonar · Video interviewing · negative prompt · soft negative

Named alongside

The products named in the same answers as Google Meet, over the 14 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.
ProductSame answerTook the first choice insteadHead to head
Zoom11 of 140Not in the top three
HireVue10 of 140Not in the top three
Spark Hire9 of 141Not in the top three
Microsoft Teams9 of 140Not in the top three
Willo7 of 140Not in the top three
VidCruiter6 of 141Not in the top three
myInterview5 of 141Not in the top three
Hireflix5 of 140Not in the top three
EasyHire.me3 of 140Not in the top three
Skype3 of 140Not in the top three
A head-to-head page exists where both products are in a category's top three. 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, four of the twelve in this edition, so these counts come from 12 of the 14 answers that named Google Meet and are not a share of its labels.

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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at google.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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