| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI accounting assistants | Accounting and close | 9% | 4 of 85 | 7% | 30 | accepted challenger | ▲+3Since September 2026: 7% → 10%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Accounts payable automation | Spend and procurement | 0% | 50 of 54 | 50% | 2 | under 10 labels · led by Ramp at 22% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Account reconciliation | Accounting and close | 0% | 55 of 82 | 0% | 1 | under 10 labels · led by FloQast at 33% | goneNot named this edition; 2% in September 2026. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI accounting assistants | 7% | 10% | ▲+3Since September 2026: 7% → 10%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 of 85, unchanged |
| Account reconciliation | 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 → 55 of 82 |
| Accounts payable automat | 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 38 → 50 of 54 |
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 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 3 | 0 | 0 | 3 |
| Grok 4.1 Fast | 0 | 2 | 1 | 1 | 4 |
| Mistral Small | 1 | 1 | 0 | 1 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 2 | 0 | 3 |
| Llama 4 Maverick | 2 | 0 | 0 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 2 | 0 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“1. Vic.ai - Autonomous AP at real enterprise invoice volume, with invoice coding cost drops from ~$12 to under $2 each.” Llama 4 Maverick · AI accounting assistants · paraphrase prompt · first choice
“Vic.ai is often cited as the best AI-driven tool for bookkeeping, especially for AP automation” Mistral Small · AI accounting assistants · direct prompt · first choice
“I'd recommend Vic.ai as a top choice for a mid-sized B2B company” MiniMax M2.5 · AI accounting assistants · paraphrase prompt · first choice
“The best AI bookkeeping tool for a mid-market B2B company is Vic.ai” Llama 4 Maverick · AI accounting assistants · direct 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.
“Both claim up to 95% autonomy for AP tasks and bookkeeping, but these figures should be treated as marketing claims rather than guarantees.” Mistral Small · AI accounting assistants · negative prompt · soft negative
“marketing that balloons to $25,000-$40,000/year for enterprise tools (Tipalti, AvidXchange, Vic.ai)” Kimi K2 · Accounts payable automat · negative prompt · soft negative
“Overhyped Autonomy Claims (e.g., Booke AI, Vic.ai claiming 95% hands-off)” Grok 4.1 Fast · AI accounting assistants · 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 93 of the 93 answers that named Vic.ai and are not a share of its labels.
342 of the 342 domain citations in answers naming Vic.ai 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 | 170 | 0 | 2026-02-05 | Expense management, Accounts payable automat | |
| News or press | 105 | 1 | 2026-08-06 | Spend management platfor, Accounting software | |
| Case study | 22 | 0 | 2025-06-06 | ||
| Podcast or video | 22 | 0 | 2026-02-20 | ||
| Glossary or explainer | 15 | 0 | 2026-05-27 | ||
| Webinar or virtual event | 4 | 0 | 2025-11-16 | ||
| Template or tool | 3 | 0 | 2024-07-18 | ||
| Comparison | 2 | 0 | 2025-06-17 | ||
| Conference or event | 1 | 0 | 2022-06-08 |
Every page vic.ai 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 Vic.ai's own pages state, read September 28, 2026: vic.ai, vic.ai/solutions/cfo, vic.ai/customers, vic.ai/partners. 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 Vic.ai'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 Vic.ai, 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 Vic.ai by email, built from the raw record of the edition. It shows: