GTM AI Index
Index Vendors › Varicent · September 2026 Edition
2 categories · Ranked

Varicent

173Judge labels
27First choices
66Negative labels
12 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
35% in Territory planning for enterprise buyers
Rank 22 of 103 in the mid-market standingcriticized challenger
0 of 12 models made it the first choice on the direct prompt; 44% of its 36 labels there were negative.
By buyer segmentAn enterprise product: leader at enterprise, not named at small business.
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 Varicent 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
Territory and quota planningRevenue operations2%22 of 10344%36criticized challenger
Sales commissions and incentive compensationRevenue operations0%43 of 5147%17criticized challenger

Movement

This is the first edition on this tier, so no move can be computed for Varicent 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 Varicent across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510001
GPT-5.4 mini04015
Gemini 3.5 Flash01179
Perplexity Sonar02114
Grok 4.1 Fast02147
Mistral Small12003
DeepSeek V4 Flash02068
Llama 4 Maverick01102
Qwen 3.7 Flash01001
Kimi K202147
GLM 4.7 FlashX01113
MiniMax M2.501203

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
Direct29 labels6
Paraphrase31 labels15
Comparative39 labels6not counted in share
Budget-constrained20 labels1
Scale-constrained25 labels5
Negative29 labels1not counted in share
First choiceAlternativeMentionNegative173 labels in all, every segment counted; 27 of the 34 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.

“Varicent Territory Sales Planning supports complex territory modeling, robust scenario modeling, and AI-assisted planning” Claude Haiku 4.5 · Territory planning · comparative prompt · first choice
“Varicent - Strongest for complex orgs needing linked territory/quota planning with AI insights” Mistral Small · Territory planning · scale prompt · first choice
“if you have very sophisticated incentive operations and a team that can handle a more heavyweight enterprise platform” GPT-5.4 mini · Commissions · paraphrase prompt · alternative
“Best for: Enterprises linking territory/quota to incentive compensation (ICM), with AI whitespace analysis.” Grok 4.1 Fast · Territory planning · 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.

“What to avoid for mid-market ... Varicent / Xactly / Oracle SPM — Full sales-performance suites costing $50K–$100K+/year” DeepSeek V4 Flash · Territory planning · direct prompt · hard negative
“Avoid enterprise-tier platforms like Oracle SPM, Xactly Incent, Varicent, and Anaplan” DeepSeek V4 Flash · Commissions · negative prompt · hard negative
“these are designed for large organizations with complex needs and budgets to match” Kimi K2 · Commissions · budget prompt · hard negative
“Skip these (too expensive for a limited budget)” DeepSeek V4 Flash · Territory planning · budget prompt · hard negative

Named alongside

The products named in the same answers as Varicent, over the 173 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Varicent was named but was not.
ProductSame answerTook the first choice insteadHead to head
CaptivateIQ132 of 17325Not in the top three
Anaplan98 of 17311Not in the top three
Xactly92 of 1736Not in the top three
Fullcast67 of 17316Not in the top three
QuotaPath64 of 17317Not in the top three
Salesforce Spiff53 of 1733Not in the top three
Everstage41 of 1736Not in the top three
eSpatial40 of 1732Not in the top three
Performio37 of 1734Not in the top three
Maptive34 of 1731Not 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 Varicent. 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 30 of the 173 answers that named Varicent and are not a share of its labels.

Domains cited

captivateiq.com22
guideflow.com15
varicent.comYour site13
pipeline.zoominfo.com11
everstage.com10
worldmetrics.org10
forma.ai9
articsledge.com8
qobra.co8
xactlycorp.com8

101 of the 114 domain citations in answers naming Varicent came from somebody else's page.

Pages cited

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 Varicent'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 Varicent, 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 varicent.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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