Finance AI Index
Index › Vendors › Forecastr · September 2026 Edition
1 category · Ranked

Forecastr

15Judge labels
3First choices
1Negative labels
7 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.
Best standing
6% in Financial modeling for small business buyers
Rank 24 of 114 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 3 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business8 of 121
6%12 labels
accepted challenger
Mid-market24 of 114
0%3 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In financial modeling · 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 Forecastr 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 modeling and scenario planningPlanning and analysis0%24 of 1140%3under 10 labels · led by Datarails at 19%

Movement

This is the first edition on this tier, so no move can be computed for Forecastr 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 Forecastr 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 Small01001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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 labels3
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained7 labelsNone
Scale-constrained3 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative15 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.

“focuses on straightforward cash flow forecasts, making it ideal for small and medium-sized businesses” Mistral Small · Financial modeling · budget prompt · alternative
“LiveFlow or Forecastr are the best value upgrades without breaking the bank” DeepSeek V4 Flash · Financial modeling · 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 Forecastr, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Forecastr was named but was not.
ProductSame answerTook the first choice insteadHead to head
Finmark8 of 152Not in the top three
Jirav7 of 151Not in the top three
Cube7 of 150Not in the top three
Fathom6 of 151Not in the top three
Datarails6 of 150Not in the top three
Anaplan5 of 150Not in the top three
Vena5 of 150Not in the top three
Excel/Google Sheets4 of 152Not in the top three
LiveFlow3 of 150Not in the top three
Float2 of 152Not 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 Forecastr. 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 15 of the 15 answers that named Forecastr and are not a share of its labels.

Domains cited

productive.io15
fathomhq.com12
datarails.com11
cubesoftware.com8
compassapp.ai6
drivetrain.ai6
farseer.com6
worldmetrics.org5
gitnux.org4
adlega.com3

Seventy-six of the seventy-six domain citations in answers naming Forecastr came from somebody else's page.

Pages cited

productive.io/blog/financial-modeling-software15
fathomhq.com/blog/the-6-best-financial-modelling-software-tools12
datarails.com/best-financial-modeling-software11
cubesoftware.com/blog/financial-modeling-software8
compassapp.ai/compare/best-financial-modelling-software-20266
drivetrain.ai/solutions/financial-modeling-software6
farseer.com/blog/financial-modeling-tools6
gitnux.org/best/financial-modeling-software4

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 Forecastr'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 Forecastr, 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 forecastr.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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