Finance AI Index
Index Vendors › Double · September 2026 Edition
2 categories · Ranked

Double

23Judge labels
3First choices
0Negative labels
9 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
4% in Financial close manageme for small business buyers
Rank 8 of 68 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 4 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In financial close manageme · 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 Double 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
Financial close managementAccounting and close2%8 of 680%4under 10 labels · led by FloQast at 60%
AI accounting assistantsAccounting and close0%36 of 790%1under 10 labels · led by Sage Intacct at 25%

Movement

This is the first edition on this tier, so no move can be computed for Double 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 Double across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00101
Qwen 3.7 Flash10001
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.501001

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
Direct6 labelsNone
Paraphrase5 labels2
Comparative5 labels5not counted in share
Budget-constrained3 labels1
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative23 labels in all, every segment counted; 3 of the 8 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.

“Start with Double if you need a balanced mix of affordability and automation.” Qwen 3.7 Flash · Financial close manageme · budget prompt · first choice
“Double (formerly Keeper) - $10 per client/month (best for low client counts)” MiniMax M2.5 · AI accounting assistants · budget prompt · alternative
“Double: Starts at roughly $10–$50 per client per month.” GLM 4.7 FlashX · Financial close manageme · budget 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 Double, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Double was named but was not.
ProductSame answerTook the first choice insteadHead to head
Numeric20 of 236Not in the top three
FloQast20 of 231Not in the top three
BlackLine15 of 230Not in the top three
Workiva5 of 230Not in the top three
Easy Month End4 of 230Not in the top three
PivotXL3 of 232Not in the top three
Xero3 of 232Not in the top three
QuickBooks Online3 of 231Not in the top three
Datarails3 of 230Not in the top three
DOKKA Close2 of 232Not 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 Double. 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 19 of the 23 answers that named Double and are not a share of its labels.

Domains cited

numeric.io18
doublehq.comYour site17
dokka.com13
learn.g2.com11
capterra.com6
financial-cents.com6
financecopilothq.com5
floqast.com5
worldmetrics.org5
g2.com4

Seventy-three of the ninety domain citations in answers naming Double came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Double

What the judge wrote, as written, with how often. The vendor table decides that these count as Double; a claim can dispute any of them.
Double (formerly Keeper) 1
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 Double'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 Double, 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 doublehq.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.