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Territory and quota planning · November 2026 Edition

Everstage vs QuotaPath

Zero of fourteen models named Everstage first on the direct prompt; zero named QuotaPath. Everstage was named by ten of the fourteen models and QuotaPath by eleven and Everstage carries 10 labels and QuotaPath 25, so the shares are not directly comparable.

Everstage

accepted challenger

Named in three categories this edition.

QuotaPath

accepted challenger

Named in four categories this edition.

First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 13; printed, not drawn.
Labels1025A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Everstage reading right to left. Rank and label count are printed, not drawn.CaptivateIQ Planning was named alongside these two in fourteen of the fourteen direct answers. CaptivateIQ Planning vs Everstage · CaptivateIQ Planning vs QuotaPath · Everstage vs Fullcast Plan

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen models made each the first choice, per way of asking, and how many argued against it.
EverstageFirst choices, of fourteen modelsQuotaPath
Direct00
Paraphrase40
Comparative00
Budget-constrained01
Scale-constrained00
Negative003 against QuotaPath
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Everstage and QuotaPath were named in the same answer seventy-two times, of the 134 answers naming Everstage and the 190 naming QuotaPath. In those answers QuotaPath took the first choice twenty-two times and Everstage ten.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Everstage and QuotaPath stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Everstage QuotaPath first choice named as an alternative argued againstblank: not namedEach cell is one answer, Everstage on the left and QuotaPath on the right.

The direct prompt

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

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarCaptivateIQ Planning alternatives: Fullcast Plan, Pigment, QuotaPath
Grok 4.20CaptivateIQ Planning alternatives: Fullcast Plan, QuotaPath
Qwen 3.7 FlashCaptivateIQ Planning alternatives: Fullcast Plan, QuotaPath, Visdum, Xactly
Kimi K2CaptivateIQ Planning alternatives: QuotaPath, Visdum
GLM 4.7 FlashXCaptivateIQ Planning, Fullcast Plan alternatives: QuotaPath, Salesforce Sales Planning
MiniMax M2.5CaptivateIQ Planning alternatives: QuotaPath, Vena, Xactly
Muse Glimmer 30BCaptivateIQ Planning alternatives: QuotaPath

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5CaptivateIQ Planning alternatives: Maptive, Pipedrive, Salesforce Maps, Salesforce Sales Planning, eSpatial
GPT-5.4 miniAnaplan Territory & Quota Planning alternatives: CaptivateIQ Planning, Vena
Gemini 3.5 FlashFullcast Plan alternatives: CaptivateIQ Planning, Pigment, Salesforce Maps, Salesforce Sales Planning, Xactly, Xactly AlignStar
Mistral SmallCaptivateIQ Planning, Lative alternatives: Fullcast Plan, Xactly, ZoomInfo
DeepSeek V4 FlashCaptivateIQ Planning alternatives: Fullcast Plan, Pigment
Llama 4 MaverickCaptivateIQ Planning
GPT-6 LunaFullcast Plan alternatives: CaptivateIQ Planning, Salesforce Sales Planning

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
QuotaPath leads by eleven points.
QuotaPath13%#2 of 16
Everstage2%#– of 16
The full small business standing →
Mid-marketThe figures above
The order flips: Everstage leads at mid-market.
Everstage8%#2 of 13
QuotaPath2%#5 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Everstage0%#– of 9
QuotaPath0%#– of 9
The full enterprise standing →

What the models said about Everstage

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

“CaptivateIQ, Everstage, and Performio offer strong capability with faster deployment cycles and more competitive pricing” Claude Haiku 4.5 · paraphrase prompt · first choice

What the models said about QuotaPath

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

“Tools such as CaptivateIQ, QuotaPath, and similar products may calculate payouts well but can be lighter on territory design and scenario modeling.” Perplexity Sonar · negative prompt · soft negative
“Be Cautious With: SMB-Specific Tools (e.g., QuotaPath) ... reviews indicate specific friction points regarding integration and complexity” GLM 4.7 FlashX · negative prompt · soft negative
“If your main goal is setting quotas and tracking payouts, start a free trial with QuotaPath.” Gemini 3.5 Flash · budget prompt · first choice
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.