Index › Vendors › Favor · September 2026 Edition

2 categories · Named, not ranked

Favor

2Judge labels

0First choices

2Negative labels

2 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Favor was named 2 times in Compensation management and 1 other category, where Pave led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market156 of 189

under the label threshold

Enterprisenot named

No model named it for this buyer.

In compensation 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 Favor 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Compensation management	Compensation and total rewards	0%	156 of 189	100%	1	under 10 labels · led by Pave at 18%
Contingent workforce management	Workforce planning and analytics	0%	72 of 97	100%	1	under 10 labels · led by SimpleVMS at 35%

Movement

This is the first edition on this tier, so no move can be computed for Favor 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 Favor across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative2 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.

No positive label carried a quote.

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.

“Uber, Lyft, DoorDash, Instacart, Shipt, Favor, and Amazon Flex” DeepSeek V4 Flash · Contingent workforce man · negative prompt · hard negative

“Gig Economy Platforms with Documented Issues” Kimi K2 · Compensation management · negative prompt · hard negative

Named alongside

The products named in the same answers as Favor, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Favor was named but was not.

ProductSame answerTook the first choice insteadHead to head

Amazon Flex2 of 20Not in the top three

DoorDash2 of 20Not in the top three

Instacart2 of 20Not in the top three

Lyft2 of 20Not in the top three

Shipt2 of 20Not in the top three

Uber2 of 20Not in the top three

Advanced-HR's Option Impact1 of 20Not in the top three

Alignerr1 of 20Not in the top three

Fiverr1 of 20Not in the top three

Freelancer.com1 of 20Not 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 Favor. 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 2 of the 2 answers that named Favor and are not a share of its labels.

Domains cited

bbb.org2

hrw.org2

linkedin.com2

ainvest.com1

allpaidstudies.com1

blog.petpooja.com1

businessinsider.com1

cfotech.co.uk1

compens.ai1

complaintsboard.com1

No domain is on file for Favor, so its own site is not marked.

Pages cited

hrw.org/report/2025/05/12/the-gig-trap/algorithmic-wage-and-labor-exploitation-in-platform2

ainvest.com/news/uber-1-09-billion-share-volume-ranks-56th-15m-seattle-settlement-labor-la1

allpaidstudies.com/sites-to-avoid-in-your-quest-for-paid-online-opportunities1

bbb.org/article/news-releases/27988-bbb-tip-surveys-for-money-what-to-know-before-signing-1

bbb.org/us/ca/san-francisco/profile/employment-agencies/instawork-1116-907006/customer-rev1

bbb.org/us/ca/san-francisco/profile/recruitment-services/wonolo-inc-1116-547163/complaints1

bbb.org/us/ca/san-francisco/profile/recruitment-services/wonolo-inc-1116-547163/customer-r1

blog.petpooja.com/people-payroll/payroll-software-red-flags-indian-smes1

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 Favor'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 Favor, 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 the vendor's own domain 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.