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Index › Core HR and payroll › Benefits administration › ADP Workforce Now vs Namely
Benefits administration · October 2026 Edition

ADP Workforce Now vs Namely

Four of fourteen models named ADP Workforce Now first on the direct prompt; zero named Namely. ADP Workforce Now was named by fourteen of the fourteen models and Namely by ten and ADP Workforce Now carries 50 labels and Namely 14, so the shares are not directly comparable.

ADP Workforce Now

accepted challenger

Named in nineteen categories this edition.

Namely

accepted challenger

Named in thirteen categories this edition.

First-choice share18%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%21%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 13; printed, not drawn.
Labels5014A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ADP Workforce Now reading right to left. Rank and label count are printed, not drawn.Rippling was named alongside these two in eight of the fourteen direct answers. Gusto vs ADP Workforce Now · Gusto vs Namely · ADP Workforce Now vs Employee Navigator

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 benefits administration page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ADP Workforce NowFirst choices, of fourteen modelsNamely
Direct401 against Namely
Paraphrase53
Comparative40
Budget-constrained001 against ADP Workforce Now
Scale-constrained00
Negative006 against ADP Workforce Now · 2 against Namely
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 ADP Workforce Now and Namely 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
ADP Workforce Now Namely first choice named as an alternative argued againstblank: not namedEach cell is one answer, ADP Workforce Now on the left and Namely on the right.

The direct prompt

The plain question, one answer per model, grouped by where ADP Workforce Now and Namely stood in it.

ADP Workforce Now first, Namely not the choice

4 of 14 modelsNamely was named in the answer but not as the choice, or not at all.
Perplexity SonarADP Workforce Now alternatives: Forma, Paycor, Paylocity, Rippling
Grok 4.1 FastADP Workforce Now alternatives: Paycor, Paylocity, PlanSource
Mistral SmallADP Workforce Now, Paycor alternatives: Gusto
MiniMax M2.5ADP Workforce Now, BambooHR alternatives: Businessolver

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.
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Employee Navigator, Paycor, Paylocity, PlanSource
DeepSeek V4 FlashRippling alternatives: ADP Workforce Now, PlanSource
Qwen 3.7 FlashPaylocity alternatives: ADP Workforce Now, Dayforce, Rippling
Kimi K2Rippling alternatives: ADP Workforce Now, BambooHR, Gusto
GLM 4.7 FlashXPlanSource alternatives: ADP Workforce Now, Benefitfocus, Employee Navigator, Rippling
GPT-6 LunaEmployee Navigator, Rippling alternatives: ADP Workforce Now, PlanSource
Muse Glimmer 30BPlanSource alternatives: ADP Workforce Now, BambooHR, Businessolver, Employee Navigator, Justworks, Namely, Paycor, Paylocity, Rippling

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniEase, Employee Navigator alternatives: PlanSource, bswift
Llama 4 Maverickno 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.
ADP Workforce Now0%#11 of 14
Namely0%#– of 14
The full small business standing →
Mid-marketThe figures above
ADP Workforce Now leads by twelve points.
ADP Workforce Now18%#2 of 13
Namely6%#6 of 13
The full mid-market standing →
Enterprise
ADP Workforce Now leads by thirty points.
ADP Workforce Now30%#1 of 12
Namely0%#– of 12
The full enterprise standing →

What the models said about ADP Workforce Now

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

“ADP leads the global Benefit Administration software market in 2024 with a 10.3% share, driven by its Workforce Now and enterprise benefits solutions.” Muse Glimmer 30B · comparative prompt · first choice

What the models said about Namely

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

“PlanSource & Namely ... force users to spend excessive time troubleshooting reporting errors” Qwen 3.7 Flash · negative prompt · hard negative
“Namely is repeatedly called out as a mid-size fit when you want benefits enrollment tied to HR records and payroll deductions.” Muse Glimmer 30B · paraphrase prompt · first choice
“Request demos from ADP, Gusto, and Namely (most frequently recommended for your size)” MiniMax M2.5 · paraphrase prompt · first choice
“Namely – Best Overall for Mid-Sized Companies” Kimi K2 · paraphrase 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.