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

DebtBook

21Judge labels
0First choices
1Negative labels
8 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
0% in Lease accounting for mid-market buyers
Rank 15 of 60 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 11 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In lease accounting · 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 DebtBook 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
Lease accountingAccounting and close0%15 of 600%11accepted challenger
Treasury management systemsTreasury and cash0%26 of 1240%4under 10 labels · led by Trovata at 18%

Movement

This is the first edition on this tier, so no move can be computed for DebtBook 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 DebtBook 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 Flash01102
Perplexity Sonar00101
Grok 4.1 Fast01203
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00303
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX04004
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
Direct1 labelNone
Paraphrase1 labelNone
Comparative13 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative4 labelsNone
First choiceAlternativeMentionNegative21 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.

“Modern platforms with built‑in ASC 842/IFRS 16 automation, OCR, and ERP integration (e.g., DebtBook, FinQuery/LeaseQuery, Occupier, NetLease).” GLM 4.7 FlashX · Lease accounting · negative prompt · alternative
“Best for organizations needing lease and subscription compliance connected to debt, cash, and investment management” MiniMax M2.5 · Lease accounting · comparative prompt · alternative
“Best For: State & local governments, universities, and hospitals reporting under GASB.” Gemini 3.5 Flash · Lease accounting · comparative prompt · alternative
“Best for: Organizations needing GASB 87, ASC 842, or GASB 96 compliance” GLM 4.7 FlashX · Lease accounting · 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 DebtBook, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DebtBook was named but was not.
ProductSame answerTook the first choice insteadHead to head
Visual Lease16 of 211Not in the top three
FinQuery14 of 217Not in the top three
Trullion12 of 210Not in the top three
NetLease9 of 210Not in the top three
Nakisa Lease Administration8 of 211Not in the top three
Crunchafi8 of 210Not in the top three
EZLease7 of 212Not in the top three
Black Owl Systems7 of 210Not in the top three
LeaseAccelerator6 of 211Not in the top three
MRI ProLease6 of 210Not 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 DebtBook. 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 17 of the 21 answers that named DebtBook and are not a share of its labels.

Domains cited

debtbook.comYour site17
gartner.com10
occupier.com9
softwareadvice.com9
softwareconnect.com9
blackowlsystems.com8
visuallease.com7
acquisition-international.com6
capterra.com6
finantrix.com6

Seventy of the eighty-seven domain citations in answers naming DebtBook 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 DebtBook'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 DebtBook, 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 debtbook.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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