GTM AI Index

Index › Products › Rippit · October 2026 Edition

1 category · Named, not ranked

Rippit

10Judge labels

1First choices

4Negative labels

2 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Rippit was named 3 times in Contact center QA, where EvaluAgent led with 28%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business68 of 84

under the label threshold

Mid-market52 of 81

under the label threshold

Enterprise16 of 80

under the label threshold

In contact center qa · 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 Rippit 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
Contact center quality assurance	Customer	0%	52 of 81	33%	3	under 10 labels · led by EvaluAgent at 28%

Movement

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

By model

How each model treated Rippit across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	1	2
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	1	0	1
Muse Glimmer 30B	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

Paraphrase2 labels1

Comparative5 labelsNone

Budget-constrained1 labelNone

Scale-constrained1 labelNone

Negative0 labelsNone

First choiceAlternativeMentionNegative10 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.

“Best For: Regulated enterprises and data-centric teams that need deep conversation analytics” Gemini 3.5 Flash · Contact center QA · comparative prompt · alternative

“Teams wanting flexible QA workflows and conversation insights beyond the contact center” GPT-6 Luna · Contact center QA · comparative 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.

“Rippit is moving its core positioning away from traditional QA scorecards toward broader, engineered AI "conversation analytics"” Gemini 3.5 Flash · Contact center QA · scale prompt · soft negative

Named alongside

The products named in the same answers as Rippit, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Rippit was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Zendesk QA9 of 102Not among the top eight

Observe.AI8 of 101Not among the top eight

EvaluAgent6 of 102Not among the top eight

NICE CXone Quality Management6 of 101Not among the top eight

Verint Quality Management5 of 101Not among the top eight

Level AI3 of 101Not among the top eight

Voxjar3 of 101Not among the top eight

MaestroQA3 of 100Not among the top eight

ScorebuddyCX3 of 100Not among the top eight

Cresta2 of 100Not among the top eight

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 Rippit. 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 10 of the 10 answers that named Rippit and are not a share of its labels.

Domains cited

voxjar.com7

alpharun.com6

cxfoundation.com6

learn.g2.com6

maestroqa.com6

oversai.com6

rippit.comYour site6

solidroad.com4

verint.com4

cmswire.com3

Forty-eight of the fifty-four domain citations in answers naming Rippit came from somebody else's page.

Pages cited

voxjar.com/best-call-center-quality-assurance-software-solutions7

alpharun.com/blog/call-center-quality-monitoring-software6

cxfoundation.com/blog/contact-center-quality-management-software6

learn.g2.com/best-contact-center-quality-assurance-software6

oversai.com/news/maestroqa-rebranded-rippit-20266

rippit.com/news/maestroqa-is-now-rippit6

maestroqa.com/5

solidroad.com/resources/best-maestro-qa-alternatives4

Pages are listed as the models cited them.

Names read as Rippit

What the judge wrote, as written, with how often. The vendor table decides that these count as Rippit; a claim can dispute any of them.

Rippit (formerly MaestroQA) 2

Follow Rippit

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.

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 Rippit'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 Rippit, 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 Rippit by email, built from the raw record of the edition. It shows:

where Rippit 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 Rippit, 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.