GTM AI Index
Index Vendors › Pigment · September 2026 Edition
2 categories · Named, not ranked

Pigment

21Judge labels
2First choices
10Negative labels
8 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.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Pigment was named 9 times in Territory planning and 1 other category, where CaptivateIQ led with 30%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 Pigment 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 operations4%8 of 10338%8under 10 labels · led by CaptivateIQ at 30%
Revenue intelligence and forecastingSales0%74 of 75100%1under 10 labels · led by Avoma at 20%

Movement

This is the first edition on this tier, so no move can be computed for Pigment 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 Pigment 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 Flash12014
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00033
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K210001
GLM 4.7 FlashX00000
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
Direct6 labels1
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained2 labelsNone
Scale-constrained5 labels1
Negative6 labels1not counted in share
First choiceAlternativeMentionNegative21 labels in all, every segment counted; 2 of the 3 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.

“Modern GTM / Connected Planning Platforms (Highly Recommended): Examples: Pigment, Fullcast, or Abacum” Gemini 3.5 Flash · Territory planning · scale prompt · first choice
“Top Pick for Broader Business Planning: Pigment” Kimi K2 · Territory planning · direct prompt · first choice
“Choose Pigment (modern/agile) or Anaplan (large enterprise).” Gemini 3.5 Flash · Territory planning · comparative prompt · alternative
“Pigment is the leading modern alternative to legacy tools” Gemini 3.5 Flash · Territory planning · direct 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.

“Pigment — Good connected planning, but more enterprise-oriented.” DeepSeek V4 Flash · Territory planning · direct prompt · hard negative
“Pigment \u2014 $50K+/year” DeepSeek V4 Flash · Revenue intel · budget prompt · hard negative
“Enterprise-level tools (like Anaplan, Varicent, or Pigment) handle both but cost tens of thousands of dollars” Gemini 3.5 Flash · Territory planning · budget prompt · soft negative
“Enterprise planning (Anaplan, Pigment) | ~$50–150K+/yr | 3–6 months, heavy build” DeepSeek V4 Flash · Territory planning · scale prompt · soft negative

Named alongside

The products named in the same answers as Pigment, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Pigment was named but was not.
ProductSame answerTook the first choice insteadHead to head
Anaplan21 of 214Not in the top three
Varicent18 of 212Not in the top three
CaptivateIQ14 of 211Not in the top three
Fullcast13 of 212Not in the top three
Xactly9 of 210Not in the top three
Salesforce Maps8 of 210Not in the top three
eSpatial8 of 210Not in the top three
QuotaPath7 of 210Not in the top three
Everstage5 of 210Not in the top three
Maptive5 of 210Not 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 Pigment. 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 2 of the 21 answers that named Pigment 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 Pigment'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 Pigment, 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 pigment.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.