HR AI Index
Index Core HR and payroll Payroll software › ADP vs Gusto
Payroll software · September 2026 Edition

ADP vs Gusto

One of twelve models named ADP first on the direct prompt; zero named Gusto. ADP was named by eleven of the twelve models and Gusto by twelve and ADP carries 28 labels and Gusto 45, so the shares are not directly comparable.

ADP

criticized challenger

Named in seventeen categories this edition.

Gusto

accepted challenger

Named in eighteen categories this edition.

First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate29%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels2845A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ADP reading right to left. Rank and label count are printed, not drawn.Rippling was named alongside these two in eleven of the twelve direct answers. Rippling vs ADP · Rippling vs Gusto · Patriot Payroll vs ADP

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 payroll software page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ADPFirst choices, of twelve modelsGusto
Direct101 against Gusto
Paraphrase421 against Gusto
Comparative110
Budget-constrained001 against Gusto
Scale-constrained001 against Gusto
Negative028 against ADP · 2 against Gusto
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, ADP and Gusto were named in the same answer 111 times, of the 259 answers naming ADP and the 802 naming Gusto. In those answers Gusto took the first choice forty-six times and ADP nine.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where ADP and Gusto 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
ADP Gusto first choice named as an alternative argued againstblank: not namedEach cell is one answer, ADP on the left and Gusto on the right.

The direct prompt

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

ADP first, Gusto an alternative

1 of 12 modelsGusto was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashADP, Rippling alternatives: BambooHR, Gusto, Zenefits

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 SmallPaycom alternatives: ADP, Gusto, Paylocity, Rippling
Kimi K2Rippling alternatives: ADP Workforce Now, Gusto, Paycom

Neither was named

9 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Rippling alternatives: Paycor, Paylocity
GPT-5.4 miniRippling alternatives: ADP Global Payroll, ADP Workforce Now / ADP Full Service Payroll, Deel, Paycom
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Deel, Paylocity
Perplexity SonarPaylocity, Rippling alternatives: ADP Workforce Now, Paycom
Grok 4.1 FastPaylocity, Rippling alternatives: ADP Workforce Now, Paycom
DeepSeek V4 FlashPaylocity alternatives: ADP Workforce Now, Paycom, Rippling, UKG Pro
Llama 4 Maverickno first choice
GLM 4.7 FlashXPaylocity, Rippling alternatives: ADP Workforce Now, Paycor, UKG Pro, Workday
MiniMax M2.5ADP Workforce Now, Paylocity alternatives: Rippling, UKG Pro

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
Gusto leads by fifty-seven points.
Gusto57%#1 of 10
ADP0%#9 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: ADP leads at mid-market.
ADP11%#4 of 13
Gusto4%#6 of 13
The full mid-market standing →
Enterprise
ADP leads by thirty points.
ADP30%#1 of 13
Gusto0%#– of 13
The full enterprise standing →

What the models said about ADP

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

“legacy/larger enterprise solutions like ADP Workforce Now or standard ADP Payroll Services ... high costs ... poor support accessibility” Qwen 3.7 Flash · negative prompt · hard negative
“Highly recommended for mid-sized companies operating across multiple states... ADP or Paychex are often the top recommendations” Mistral Small · paraphrase prompt · first choice
“Start a demo with ADP if you are risk-averse and prioritize regulatory compliance above all else.” Qwen 3.7 Flash · direct prompt · first choice
“Market Leader: ADP holds the largest market share in the payroll software industry” Mistral Small · comparative prompt · first choice

What the models said about Gusto

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

“Gusto is the most popular all\u2011round choice for small businesses, offering a polished employee experience and built\u2011in HR/benefits.” GLM 4.7 FlashX · comparative prompt · first choice
“the platforms that most consistently earn positive feedback on simplicity and transparent pricing are Gusto (for small businesses)” DeepSeek V4 Flash · negative 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.