| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Revenue recognition | Accounting and close | 14% | 2 of 77 | 13% | 38 | accepted challenger | ▲+1Since September 2026: 15% → 16%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Revenue recognition | 15% | 16% | ▲+1Since September 2026: 15% → 16%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 → 2 of 77 |
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 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 1 | 1 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 2 | 1 | 2 | 6 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 0 | 2 |
| Kimi K2 | 2 | 1 | 0 | 2 | 5 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 2 | 2 | 0 | 4 |
| GPT-6 Luna | 0 | 1 | 1 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Highly popular in the mid-market B2B SaaS and professional services space. It handles ASC 606 compliance natively inside the ledger” Gemini 3.5 Flash · Revenue recognition · direct prompt · first choice
“Top Recommendation: Sage Intacct Revenue Recognition — Best overall for mid-market B2B.” DeepSeek V4 Flash · Revenue recognition · direct prompt · first choice
“Sage Intacct or BillingPlatform — both offer strong mid-market functionality” Kimi K2 · Revenue recognition · paraphrase prompt · first choice
“Sage Intacct (Best overall for mid-market B2B)” DeepSeek V4 Flash · Revenue recognition · paraphrase prompt · first choice
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.
“avoiding expensive enterprise resource planning (ERP) platforms (like NetSuite or Sage Intacct, which can cost $10,000 to over $100,000 annually)” Gemini 3.5 Flash · Revenue recognition · budget prompt · hard negative
“Avoid enterprise-grade solutions (Zuora Revenue, NetSuite ARM, Sage Intacct)” DeepSeek V4 Flash · Revenue recognition · budget prompt · hard negative
“Lacks reconciliation depth for contract modifications and multi-element arrangements ... Verdict: Consider carefully if you have complex subscription models” Kimi K2 · Revenue recognition · negative prompt · soft negative
“Large legacy ERPs often upsell you on their built-in revenue recognition modules... notoriously rigid and difficult to configure” Gemini 3.5 Flash · Revenue recognition · 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 77 of the 80 answers that named Sage Intacct Revenue Recognition and are not a share of its labels.
345 of the 345 domain citations in answers naming Sage Intacct Revenue Recognition 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.
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 Sage Intacct Revenue Recognition's own pages state, read September 28, 2026: hcm.sage.com/sage-intacct-integration, hcm.sage.com/partners/sage-intacct, hcm.sage.com/white-papers/sage-intacct. 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 Sage Intacct Revenue Recognition'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 Sage Intacct Revenue Recognition, 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 Sage Intacct Revenue Recognition by email, built from the raw record of the edition. It shows:
Sage Intacct Revenue Recognition is among the products AI models recommend first in Revenue recognition this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.