GTM AI Index

Index › Vendors › Whatfix Mirror · September 2026 Edition

1 category · Named, not ranked

Whatfix Mirror

3Judge labels

0First choices

0Negative labels

3 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Whatfix Mirror was named 1 time in Sales coaching, where SalesHood led with 27%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market83 of 124

under the label threshold

Enterprise36 of 97

under the label threshold

In sales coaching · 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 Whatfix Mirror 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
Sales coaching and training	Sales	0%	83 of 124	0%	1	under 10 labels · led by SalesHood at 27%

Movement

This is the first edition on this tier, so no move can be computed for Whatfix Mirror yet. The next is due October 1, 2026. 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 Whatfix Mirror across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	1	1
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative3 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

No model argued against it.

Named alongside

The products named in the same answers as Whatfix Mirror, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Whatfix Mirror was named but was not.

ProductSame answerTook the first choice insteadHead to head

Gong3 of 32Not in the top three

MindTickle3 of 31Not in the top three

Chorus by ZoomInfo3 of 30Not in the top three

Allego2 of 31Not in the top three

Avoma2 of 30Not in the top three

Clari Copilot2 of 30Not in the top three

Hyperbound2 of 30Not in the top three

SalesHood2 of 30Not in the top three

Salesloft2 of 30Not in the top three

Second Nature2 of 30Not 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 Whatfix Mirror. 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 1 of the 3 answers that named Whatfix Mirror and are not a share of its labels.

Domains cited

alpharun.com1

autobound.ai1

cirrusinsight.com1

cloudtalk.io1

continu.com1

docebo.com1

firstsales.io1

hyperbound.ai1

learn.g2.com1

mailshake.com1

Ten of the ten domain citations in answers naming Whatfix Mirror came from somebody else's page.

Pages cited

alpharun.com/blog/sales-coaching-software1

autobound.ai/blog/top-10-real-time-sales-coaching-apps-for-reps-in-2025-your-guide-to-coac1

cirrusinsight.com/blog/ai-sales-coaching1

cloudtalk.io/blog/sales-coaching-software1

continu.com/software/best-sales-training-software1

docebo.com/learning-network/blog/sales-coaching-tools1

firstsales.io/blog/best-sales-coaching-software1

hyperbound.ai/blog/best-enterprise-sales-coaching-platforms1

Pages are listed as the models cited them.

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 Whatfix Mirror'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 Whatfix Mirror, 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 whatfix.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.