Every category where a model named Causal 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
Financial modeling and scenario planning	Planning and analysis	0%	40 of 114	33%	3	under 10 labels · led by Datarails at 19%
FP&A platforms	Planning and analysis	0%	24 of 52	0%	2	under 10 labels · led by Vena at 15%

Movement

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

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

Direct5 labelsNone

Paraphrase3 labelsNone

Comparative3 labelsNone

Budget-constrained8 labels1

Scale-constrained4 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative27 labels in all, every segment counted; 1 of the 1 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.

“Causal (now part of LucaNet) has a modern, modular design that replaces traditional cell-based spreadsheets” Gemini 3.5 Flash · Financial modeling · budget prompt · alternative

“Consider Causal or LiveFlow when you outgrow spreadsheets” Kimi K2 · Financial modeling · budget prompt · alternative

“Causal or Budgyt add more modeling flexibility” DeepSeek V4 Flash · FP&A platforms · 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.

“Can be more expensive than pure spreadsheet tools, so check pricing carefully” GPT-5.4 mini · Financial modeling · budget prompt · soft negative

Named alongside

The products named in the same answers as Causal, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Causal was named but was not.

ProductSame answerTook the first choice insteadHead to head

Jirav15 of 271Not in the top three

Clockwork13 of 277Not in the top three

Fathom13 of 273Not in the top three

Cube12 of 272Not in the top three

Anaplan12 of 271Not in the top three

Workday Adaptive Planning11 of 271Not in the top three

Datarails10 of 272Not in the top three

LiveFlow8 of 271Not in the top three

Runway8 of 271Not in the top three

Vena7 of 271Not 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 Causal. 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 13 of the 27 answers that named Causal and are not a share of its labels.

Domains cited

drivetrain.ai10

cubesoftware.com8

golimelight.com6

fathomhq.com5

datarails.com4

farseer.com4

learn.g2.com4

adlega.com3

capterra.com3

clockwork.ai3

Fifty of the fifty domain citations in answers naming Causal came from somebody else's page.

Pages cited

drivetrain.ai/solutions/financial-modeling-software5

fathomhq.com/blog/the-6-best-financial-modelling-software-tools5

golimelight.com/blog/fpa-software-for-small-business5

cubesoftware.com/blog/best-fpa-software-tools4

datarails.com/best-financial-modeling-software4

farseer.com/blog/financial-modeling-tools4

golimelight.com/financial-planning-analysis-fpa/software-pricing4

adlega.com/compare/best-saas-financial-modeling-software3

Pages are listed as the models cited them.

Names read as Causal

What the judge wrote, as written, with how often. The vendor table decides that these count as Causal; a claim can dispute any of them.

Float / Causal 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 Causal'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 Causal, 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 causal.app 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.