Finance AI Index

Index › Vendors › Alguna · September 2026 Edition

1 category · Named, not ranked

Alguna

10Judge labels

3First choices

0Negative labels

8 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, 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. Alguna was named 2 times in Revenue recognition, where Maxio led with 15%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business25 of 87

under the label threshold

Mid-market30 of 77

under the label threshold

Enterprise11 of 65

under the label threshold

In revenue recognition · 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 Alguna 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
Revenue recognition	Accounting and close	0%	30 of 77	0%	2	under 10 labels · led by Maxio at 15%

Movement

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

Model	Alternative	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	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
GLM 4.7 FlashX	1	1
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

Direct4 labels1

Paraphrase1 label1

Comparative0 labelsNone

Budget-constrained3 labels1

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative10 labels in all, every segment counted; 3 of the 3 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.

“Are SaaS/subscription-heavy | Maxio, Chargebee, Alguna, LedgerUp” Kimi K2 · Revenue recognition · scale prompt · alternative

“If you're AI-driven and usage-based → Alguna.” GLM 4.7 FlashX · Revenue recognition · 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 Alguna, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Alguna was named but was not.

ProductSame answerTook the first choice insteadHead to head

Stripe Revenue Recognition4 of 101Not in the top three

NetSuite Advanced Revenue Management3 of 101Not in the top three

RightRev3 of 101Not in the top three

Maxio3 of 100Not in the top three

QuickBooks Online3 of 100Not in the top three

Xero3 of 100Not in the top three

HighRadius2 of 102Not in the top three

Emagia2 of 101Not in the top three

LedgerUp2 of 101Not in the top three

Chargebee2 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 Alguna. 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 9 of the 10 answers that named Alguna and are not a share of its labels.

Domains cited

blog.alguna.comYour site9

younium.com5

getapp.com4

guideflow.com4

rightrev.com4

zenskar.com4

eleven.run3

pipedrive.com3

capterra.com2

dualentry.com2

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

Pages cited

blog.alguna.com/best-tools-for-saas-revenue-recognition6

guideflow.com/blog/revenue-recognition-software4

rightrev.com/top-revenue-recognition-software-2026-a-comprehensive-buyers-guide4

blog.alguna.com/accounts-receivable-software3

eleven.run/blog/best-revenue-recognition-software3

pipedrive.com/en/blog/best-revenue-recognition-software3

younium.com/blog/accounts-receivable-software3

dualentry.com/blog/best-revenue-recognition-software2

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 Alguna'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 Alguna, 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 alguna.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.