Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 8 pointsRank 9 → 33 of 79
3 categories · Named, not rankedCausal
27Judge labels
3First choices
7Negative labels
10 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Causal was named 7 times in FP&A platforms and 2 other categories, where Planful led with 20%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business26 of 80
0%7 labels
under the label threshold
Mid-market48 of 74
0%4 labels
under the label threshold
Enterprise37 of 57
0%1 label
under the label threshold
In fp&a platforms · 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 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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| FP&A platforms | Planning and analysis | 0% | 48 of 74 | 25% | 4 | under 10 labels · led by Planful at 20% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Financial modeling and scenario planning | Planning and analysis | 0% | 65 of 77 | 50% | 2 | under 10 labels · led by Microsoft Excel at 14% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Cash flow forecasting | Treasury and cash | 0% | 43 of 101 | 0% | 1 | under 10 labels · led by Agicap at 13% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Causal held within the floor in all three categories: no change cleared 10 points.
Best category · FP&A platforms · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 25 → 58 of 73
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| FP&A platforms | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 25 → 48 of 74 |
| Financial modeling | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 40 → 65 of 77 |
| Cash flow forecasting | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 43 of 101, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Causal across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Causal across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
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
Direct3 labels1
Paraphrase3 labels1
Comparative4 labelsNone
Budget-constrained7 labelsNone
Scale-constrained7 labels1
Negative3 labels1not counted in share
First choiceAlternativeMentionNegative27 labels in all, every segment counted; 3 of the 4 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 offers three pricing tiers starting at $250/month for the Launch tier, making it very budget-friendly.” Claude Haiku 4.5 · FP&A platforms · budget prompt · alternative
“If you need to replace complex, broken spreadsheets with a visual dashboard: Look at Causal.” Qwen 3.7 Flash · Cash flow forecasting · comparative prompt · alternative
“Emerging affordable SaaS: Causal or Cube (~$50+/month entry-level” Grok 4.1 Fast · 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.
“Avoid discontinued tools: Causal, Pry, and Mosaic have been acquired and shut down” Kimi K2 · Financial modeling · budget prompt · hard negative
“Causal (acquired by LucaNet and shifted upmarket)” Gemini 3.5 Flash · FP&A platforms · budget prompt · hard 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.ShowHide
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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 26 of the 27 answers that named Causal and are not a share of its labels.
Domains cited
drivetrain.ai15
cubesoftware.com13
abacum.ai11
clockwork.ai11
g2.com9
learn.g2.com8
datarails.com7
getaleph.com7
centage.com6
coefficient.io6
Ninety-three of the ninety-three domain citations in answers naming Causal came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
lucanet.com is not in Google's top ten for any of the category's searches. In the answers, Causal takes 0% of first choices and Planful takes 20%.ShowHide
Search and answers
lucanet.com is not in Google's top ten for any of the category's searches. In the answers, Causal takes 0% of first choices and Planful takes 20%.
ShowHideIn search
Google, US estimatesPosition for “fp&a software”
–
not in the top ten
Position for “fp&a platforms”
–
not in the top ten
- Searches for its name, Google
- 49,500 a month (“causal”)
- AI search demand for its name, est.
- 3,471 a month
- Organic visits to its site
- about 342 a month
- Searches its site ranks for
- 248 · 9 in the top three
- Sites linking to it
- 1,674
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
0%
rank 48 of 74 in FP&A platforms
Segment leader
20%
Planful
- First choices
- 3 across its categories
- Named in
- 27 answers
- Its own site cited
- in 26 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on lucanet.com
2,532
subdomains included
Content
379
counted in the table below
Documentation
752
Product · Integration
33 · 3
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 163 | 12 | 2026-09-23 | ESG and carbon reporting, Accounting software | |
| Case study | 68 | undated | Financial consolidation | ||
| Report or ebook | 67 | undated | Financial consolidation, Accounting software | ||
| Webinar or virtual event | 48 | 0 | 2025-12-02 | Financial consolidation | |
| News or press | 18 | 1 | 2026-08-11 | ||
| Podcast or video | 7 | undated | |||
| Comparison | 3 | undated | Lease accounting | ||
| Glossary or explainer | 3 | undated | |||
| Conference or event | 2 | 0 | 2025-11-12 |
Most recent
- 2026-09-23Sustainability reporting standard for voluntary use explained blog
- 2026-09-09Finance tool for exit readiness blog
- 2026-09-08Understanding different types of xbrl reports blog
- 2026-09-03Global accounting standards comparison ifrs us gaap blog
- 2026-09-02Intelligence inside 9 automation intelligence redefining budget season blog
- 2026-08-20Modeler agent xpa blog
How it is countedHide how it is counted
Every page lucanet.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Of its titles that name a category, most name financial consolidation (11); 0 name its categories the models place it in. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow Causal
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Causal by email, built from the raw record of the edition. It shows:
- where Causal is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Causal, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.