GTM AI Index

Index › Vendors › Quota Queue · September 2026 Edition

1 category · Named, not ranked

Quota Queue

4Judge labels

2First choices

0Negative labels

2 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. Quota Queue was named 1 time in Territory planning, where CaptivateIQ led with 30%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business23 of 121

under the label threshold

Mid-market74 of 103

under the label threshold

Enterprisenot named

No model named it for this buyer.

In territory planning · 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 Quota Queue 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
Territory and quota planning	Revenue operations	0%	74 of 103	0%	1	under 10 labels · led by CaptivateIQ at 30%

Movement

This is the first edition on this tier, so no move can be computed for Quota Queue 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 Quota Queue 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	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
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

Comparative0 labelsNone

Budget-constrained4 labels2

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative4 labels in all, every segment counted; 2 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.

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 Quota Queue, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Quota Queue was named but was not.

ProductSame answerTook the first choice insteadHead to head

Xactly4 of 40Not in the top three

QuotaPath3 of 40Not in the top three

Anaplan2 of 40Not in the top three

CaptivateIQ2 of 40Not in the top three

Salesforce Spiff2 of 40Not in the top three

Varicent2 of 40Not in the top three

HubSpot CRM1 of 41Not in the top three

Sales Cookie1 of 41Not in the top three

Zoho CRM1 of 41Not in the top three

ACE Commission Engine1 of 40Not 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.

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 Quota Queue'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 Quota Queue, 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 quota.training 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.