GTM AI Index
Index Revenue operations Territory planning › Maptive vs Varicent
Territory and quota planning · September 2026 Edition

Maptive vs Varicent

Zero of twelve models named Maptive first on the direct prompt; zero named Varicent. Maptive was named by eleven of the twelve models and Varicent by twelve and Maptive carries 21 labels and Varicent 36, so the shares are not directly comparable.

Maptive

accepted challenger

Named in one category this edition.

Varicent

criticized challenger

Named in two categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%44%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 11; printed, not drawn.
Labels2136A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Maptive reading right to left. Rank and label count are printed, not drawn.Fullcast was named alongside these two in nine of the twelve direct answers. CaptivateIQ vs Maptive · CaptivateIQ vs Varicent · Fullcast vs Maptive

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the territory and quota planning page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
MaptiveFirst choices, of twelve modelsVaricent
Direct001 against Maptive · 6 against Varicent
Paraphrase003 against Varicent
Comparative01
Budget-constrained103 against Varicent
Scale-constrained011 against Varicent
Negative003 against Varicent
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Maptive and Varicent were named in the same answer thirty-four times, of the 61 answers naming Maptive and the 173 naming Varicent. In those answers Varicent took the first choice three times and Maptive one.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Maptive and Varicent stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Maptive Varicent first choice named as an alternative argued againstblank: not namedEach cell is one answer, Maptive on the left and Varicent on the right.

The direct prompt

The plain question, one answer per model, grouped by where Maptive and Varicent stood in it.

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallFullcast, QuotaPath alternatives: Anaplan Territory & Quota Planning, Everstage, Varicent
MiniMax M2.5CaptivateIQ alternatives: Fullcast, SalesRabbit, Varicent

Neither was named

10 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5CaptivateIQ Planning alternatives: Clari Align, Fullcast, eSpatial
GPT-5.4 miniCaptivateIQ Planning alternatives: Salesforce Sales Planning / Territory Planning, Xactly
Gemini 3.5 FlashFullcast alternatives: CaptivateIQ, Pigment, QuotaPath, Salesforce Maps, Salesforce Sales Planning
Perplexity SonarFullcast alternatives: CaptivateIQ
Grok 4.1 FastCaptivateIQ alternatives: Everstage, Fullcast, Salesforce Maps, Salesforce Sales Planning, eSpatial
DeepSeek V4 FlashFullcast alternatives: CaptivateIQ, Salesforce Sales Planning + Territory Management
Llama 4 Maverickno first choice
Qwen 3.7 FlashCaptivateIQ alternatives: SalesRabbit, Territory Helper
Kimi K2Fullcast, Pigment alternatives: CaptivateIQ
GLM 4.7 FlashXFullcast alternatives: Salesforce Sales Planning / Territory Planning Add-On, Vena

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Maptive leads by four points.
Maptive4%#4 of 13
Varicent0%#12 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Maptive2%#6 of 11
Varicent2%#7 of 11
The full mid-market standing →
Enterprise
The order flips: Varicent leads at enterprise.
Varicent35%#1 of 10
Maptive0%#10 of 10
The full enterprise standing →

What the models said about Maptive

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Mapping-first tools with algorithmic territory balancing at lower cost, but no quota or capacity planning” DeepSeek V4 Flash · direct prompt · soft negative
“Maptive is best for teams that want every mapping feature included at a flat per-user price” Claude Haiku 4.5 · budget prompt · first choice
“"We just need to draw clean maps and visualize coverage" → eSpatial, Maptive, or Salesforce Maps” Qwen 3.7 Flash · comparative prompt · alternative
“eSpatial, Maptive | Excellent for algorithmic balancing and deep GIS visualization.” Qwen 3.7 Flash · scale prompt · alternative

What the models said about Varicent

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.

“What to avoid for mid-market ... Varicent / Xactly / Oracle SPM — Full sales-performance suites costing $50K–$100K+/year” DeepSeek V4 Flash · direct prompt · hard negative
“Skip these (too expensive for a limited budget)” DeepSeek V4 Flash · budget prompt · hard negative
“Varicent Territory Sales Planning supports complex territory modeling, robust scenario modeling, and AI-assisted planning” Claude Haiku 4.5 · comparative prompt · first choice
“Varicent - Strongest for complex orgs needing linked territory/quota planning with AI insights” Mistral Small · scale prompt · first choice
“Best for: Enterprises linking territory/quota to incentive compensation (ICM), with AI whitespace analysis.” Grok 4.1 Fast · comparative prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.