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Index › Core HR and payroll › Payroll software › Rippling vs Paylocity
Payroll software · October 2026 Edition

Rippling vs Paylocity

Seven of fourteen models named Rippling first on the direct prompt; one named Paylocity. Rippling was named by thirteen of the fourteen models and Paylocity by fourteen and Rippling carries 43 labels and Paylocity 31, so the shares are not directly comparable.

Rippling

accepted challenger

Named in twenty-nine categories this edition.

Paylocity

accepted challenger

Named in twenty categories this edition.

First-choice share20%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 14; printed, not drawn.
Labels4331A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Rippling reading right to left. Rank and label count are printed, not drawn.ADP Workforce Now was named alongside these two in ten of the fourteen direct answers. Rippling vs ADP Workforce Now · Rippling vs Patriot Payroll · Rippling vs ADP

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 payroll software page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RipplingFirst choices, of fourteen modelsPaylocity
Direct71
Paraphrase30
Comparative10
Budget-constrained00
Scale-constrained11
Negative002 against Rippling · 6 against Paylocity
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 October 2026 Edition, Rippling and Paylocity were named in the same answer 165 times, of the 1329 answers naming Rippling and the 282 naming Paylocity. In those answers Paylocity took the first choice six times and Rippling forty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Rippling and Paylocity 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
Rippling Paylocity first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rippling on the left and Paylocity on the right.

The direct prompt

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

Rippling first, Paylocity an alternative

7 of 14 modelsPaylocity was named in the answer but not as the choice, or not at all.
GPT-5.4 miniRippling alternatives: ADP Workforce Now, Deel, Paylocity
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Paycom, Paylocity
Perplexity SonarRippling alternatives: ADP Workforce Now, Paycom, Paylocity
Grok 4.1 FastRippling alternatives: ADP Workforce Now, Deel, Gusto, Paychex Flex, Paycom, Paycor, Paylocity
Mistral SmallADP, Rippling alternatives: Keka, Paylocity
DeepSeek V4 FlashADP Workforce Now, Rippling alternatives: Dayforce, Paycom, Paylocity
Kimi K2Rippling alternatives: ADP Workforce Now, Paycom, Paylocity

Paylocity first, Rippling an alternative

1 of 14 modelsRippling was named in the answer but not as the choice, or not at all.
GPT-6 LunaPaylocity alternatives: ADP Workforce Now, Rippling, UKG Ready

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Paycom alternatives: ADP, Deel, G-P, Namely, Paylocity, Rippling
GLM 4.7 FlashXADP alternatives: Dayforce, Gusto, Paycom, Paycor, Paylocity, Rippling
Muse Glimmer 30Bno first choice alternatives: ADP Workforce Now, Namely, Paychex Flex, Paycor, Paylocity

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
Qwen 3.7 FlashADP Workforce Now alternatives: Dayforce, Gusto, Paycom
MiniMax M2.5ADP Workforce Now, Paycom, Paycor alternatives: QuickBooks Payroll

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
Rippling leads by two points.
Rippling2%#5 of 11
Paylocity0%#– of 11
The full small business standing →
Mid-marketThe figures above
Rippling leads by seventeen points.
Rippling20%#1 of 14
Paylocity4%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Paylocity leads at enterprise.
Paylocity6%#4 of 14
Rippling5%#6 of 14
The full enterprise standing →

What the models said about Rippling

No label in this category carried a quote.

What the models said about Paylocity

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

“Be cautious with these payroll platforms... Paylocity: Frequent complaints about poor customer service, glitchy platform” Grok 4.1 Fast · negative prompt · hard negative
“Paylocity - Some users have reported subpar customer support and technical issues with the platform.” Llama 4 Maverick · negative prompt · hard negative
“Unresponsive customer support ... Glitchy software that's difficult to navigate” DeepSeek V4 Flash · negative prompt · hard negative
“Paylocity: Highly rated for its balance of flexibility, HR tools, and ease of use in the mid-market space.” Qwen 3.7 Flash · scale 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.