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Index › Compensation and total rewards › Compensation management › CaptivateIQ vs Paycom
Compensation management · October 2026 Edition

CaptivateIQ vs Paycom

Three of fourteen models named CaptivateIQ first on the direct prompt; one named Paycom. CaptivateIQ was named by eleven of the fourteen models and Paycom by nine and CaptivateIQ carries 18 labels and Paycom 17, so the shares are not directly comparable.

CaptivateIQ

accepted challenger

Named in two categories this edition.

Paycom

accepted challenger

Named in fourteen categories this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 13; printed, not drawn.
Labels1817A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, CaptivateIQ reading right to left. Rank and label count are printed, not drawn.Pave vs CaptivateIQ · Pave vs Paycom · Ravio vs CaptivateIQ

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 compensation management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CaptivateIQFirst choices, of fourteen modelsPaycom
Direct31
Paraphrase01
Comparative10
Budget-constrained001 against CaptivateIQ
Scale-constrained001 against Paycom
Negative001 against Paycom
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where CaptivateIQ and Paycom 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
GPT-6 Luna
Muse Glimmer 30B
CaptivateIQ Paycom first choice named as an alternative argued againstblank: not namedEach cell is one answer, CaptivateIQ on the left and Paycom on the right.

The direct prompt

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

CaptivateIQ first, Paycom not the choice

3 of 14 modelsPaycom was named in the answer but not as the choice, or not at all.
GPT-5.4 miniCaptivateIQ alternatives: Everstage, QuotaPath, Spiff
Gemini 3.5 FlashCaptivateIQ, Pave alternatives: Barley, Everstage, HiBob, QuotaPath, Salesforce Spiff
GPT-6 LunaCaptivateIQ alternatives: Lattice Compensation, Payscale, Performio, Salesforce Spiff

Paycom first, CaptivateIQ not the choice

1 of 14 modelsCaptivateIQ was named in the answer but not as the choice, or not at all.
Grok 4.1 FastPaycom alternatives: Comprehensive.io, HiBob, QuotaPath, Salary.com, Visdum

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarCompport alternatives: CaptivateIQ, CompUp, HiBob, Payscale Ascent, Ravio
DeepSeek V4 FlashComprehensive, Pave alternatives: CaptivateIQ, Lattice Compensation, Payscale Ascent
Kimi K2Comprehensive alternatives: CaptivateIQ, Lattice Compensate, Pave, Ravio
MiniMax M2.5CompUp alternatives: CaptivateIQ, Figures, Paylocity, Pequity

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5HiBob alternatives: Qobra, Salary.com, Visdum, beqom
Mistral SmallRavio alternatives: CompUp, Pave, Payscale, beqom
Llama 4 MaverickCompUp, Paylocity
Qwen 3.7 FlashQuotaPath alternatives: Paylocity, Performio, Ravio, Visdum
GLM 4.7 FlashXPayscale Ascent alternatives: BambooHR Compensation, CompUp, Comprehensive, Figures, Lattice Compensate, Pave, Paycor, Ravio
Muse Glimmer 30Bno first choice

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
Level: the same share of first choices.
CaptivateIQ0%#– of 16
Paycom0%#15 of 16
The full small business standing →
Mid-marketThe figures above
CaptivateIQ leads by two points.
CaptivateIQ5%#5 of 13
Paycom4%#6 of 13
The full mid-market standing →
Enterprise
CaptivateIQ leads by two points.
CaptivateIQ2%#9 of 15
Paycom0%#– of 15
The full enterprise standing →

What the models said about CaptivateIQ

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

“most commission tools (like Spiff or CaptivateIQ) are prohibitively expensive for tight budgets” Gemini 3.5 Flash · budget prompt · soft negative
“CaptivateIQ is built for finance/comp admins who think in spreadsheets and need to model plan changes before rollout” Kimi K2 · comparative prompt · first choice
“CaptivateIQ (Best for Complex Plan Logic) ... The "industry standard" for mid-market to enterprise B2B teams” Gemini 3.5 Flash · direct prompt · first choice
“CaptivateIQ is my best default pick for a mid-market team” GPT-6 Luna · direct prompt · first choice

What the models said about Paycom

No label in this category carried a quote.

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.