| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Corporate performance management | Planning and analysis | 2% | 11 of 99 | 0% | 2 | under 10 labels · led by Planful at 22% | =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 | 2% | 14 of 77 | 0% | 10 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| FP&A platforms | Planning and analysis | 0% | 20 of 74 | 20% | 20 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Cash flow forecasting | Treasury and cash | 0% | 28 of 101 | 0% | 11 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Board and investor reporting | Planning and analysis | 0% | 26 of 99 | 0% | 4 | under 10 labels · led by OnBoard at 26% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Financial reporting and dashboards | Planning and analysis | 0% | 69 of 105 | 33% | 3 | under 10 labels · led by Sage Intacct at 33% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| FP&A platforms | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 20 of 74 |
| Financial modeling | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 19 → 14 of 77 |
| Corporate performance ma | 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 26 → 11 of 99 |
| Cash flow forecasting | 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 68 → 28 of 101 |
| Board | 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 37 → 26 of 99 |
| Financial reporting | 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 36 → 69 of 105 |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 6 | 1 | 1 | 8 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.1 Fast | 1 | 4 | 3 | 1 | 9 |
| Mistral Small | 0 | 2 | 3 | 0 | 5 |
| DeepSeek V4 Flash | 0 | 5 | 0 | 1 | 6 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 2 | 2 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 0 | 3 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 1 | 2 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“I'd shortlist Jirav first. It covers core FP&A needs” GPT-6 Luna · Corporate performance ma · budget prompt · first choice
“SaaS/B2B metrics heavy: Jirav or Drivetrain.” Grok 4.1 Fast · Financial modeling · direct prompt · first choice
“Best for growing companies and accounting advisory firms that need structured, out-of-the-box financial models.” Gemini 3.5 Flash · Cash flow forecasting · comparative prompt · alternative
“Jirav provides out-of-the-box templates for driver-based budgeting, cash flows, and SaaS/business metrics.” Gemini 3.5 Flash · Corporate performance ma · budget prompt · alternative
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.
“Be cautious of: Mid-market tools like Jirav or basic tiers of Cube... aren’t architected for complex consolidation” Qwen 3.7 Flash · FP&A platforms · negative prompt · soft negative
“Instead of paying thousands of dollars a year for heavy-duty enterprise FP&A ... platforms like Jirav or Cube” Gemini 3.5 Flash · Financial reporting · budget prompt · soft negative
“Users report UI inconsistencies and difficulty understanding user permission levels.” DeepSeek V4 Flash · FP&A platforms · negative prompt · soft negative
“If you need advanced dimensionality or complex multi-entity modeling” Kimi K2 · FP&A platforms · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 151 of the 156 answers that named Jirav and are not a share of its labels.
513 of the 513 domain citations in answers naming Jirav came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 198 | 7 | 2026-09-04 | ||
| Case study | 29 | undated | |||
| Webinar or virtual event | 12 | undated | |||
| Comparison | 12 | 2 | 2026-09-15 | ||
| Glossary or explainer | 12 | 1 | 2026-09-08 | ||
| Report or ebook | 4 | undated | |||
| News or press | 4 | undated | |||
| Conference or event | 2 | 0 | 2026-05-27 | ||
| Template or tool | 1 | undated | |||
| Podcast or video | 1 | undated |
Every page jirav.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. 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.
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.
What Jirav's own pages state, read September 28, 2026: jirav.com, jirav.com/pricing, jirav.com/product/overview. A claimed page can correct any of them.
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 Jirav'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 Jirav, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Jirav by email, built from the raw record of the edition. It shows: