Finance AI Index
Index Vendors › Paylocity · September 2026 Edition
3 categories · Named, not ranked

Paylocity

10Judge labels
0First choices
1Negative labels
9 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Paylocity was named 8 times in Expense management and 2 other categories, where Ramp led with 34%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In expense management · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Paylocity for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Expense managementSpend and procurement0%15 of 460%5under 10 labels · led by Ramp at 34%
Business bill payTreasury and cash0%34 of 690%2under 10 labels · led by BILL at 35%
Supplier managementSpend and procurement0%42 of 800%1under 10 labels · led by Procurify at 26%

Movement

This is the first edition on this tier, so no move can be computed for Paylocity yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Paylocity across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00101
Llama 4 Maverick01102
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.500101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct5 labelsNone
Paraphrase3 labelsNone
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“supports mid-market teams by combining AI-powered receipt capture, direct card feeds, mileage tracking, and policy automation within one platform” Llama 4 Maverick · Expense management · paraphrase prompt · alternative
“if you want vendor management embedded in a broader HR/finance platform for midsize companies” Perplexity Sonar · Supplier management · paraphrase prompt · alternative
“Companies already using Paylocity for HR and payroll.” GLM 4.7 FlashX · Expense management · direct prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Paylocity, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Paylocity was named but was not.
ProductSame answerTook the first choice insteadHead to head
Ramp7 of 102Not in the top three
Expensify5 of 101Not in the top three
Spendesk4 of 102Not in the top three
Navan4 of 101Not in the top three
SAP Concur4 of 101Not in the top three
Rippling Spend3 of 101Not in the top three
Brex3 of 100Not in the top three
BILL2 of 101Not in the top three
Coupa2 of 101Not in the top three
Airbase2 of 100Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Paylocity. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 10 of the 10 answers that named Paylocity and are not a share of its labels.

Domains cited

gartner.com6
paylocity.comYour site6
ramp.com6
learn.g2.com5
bill.com4
airwallex.com3
navan.com3
technologyadvice.com3
gitnux.org2
ofx.com2

Thirty-four of the forty domain citations in answers naming Paylocity came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Paylocity's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Paylocity, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at paylocity.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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