| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Procure-to-pay | Spend and procurement | 3% | 5 of 87 | 0% | 11 | accepted challenger | =heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Supplier management | Spend and procurement | 2% | 19 of 111 | 0% | 2 | under 10 labels · led by Precoro at 14% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Spend management platforms | Spend and procurement | 0% | 36 of 46 | 0% | 1 | under 10 labels · led by Ramp at 44% | newNew since September 2026: not ranked then, 0% now. |
| Strategic sourcing | Spend and procurement | 0% | 67 of 128 | 0% | 1 | under 10 labels · led by oboloo at 15% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Procure-to-pay | 4% | 4% | =heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 5 of 87 |
| Supplier management | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 14 → 19 of 111 |
| Spend management platfor | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 36 of 46, unchanged |
| Strategic sourcing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 67 of 128, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 1 | 0 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Ramp (free tier) and Spendwise (starting at $9/user/month) are especially attractive for companies with tight budgets” Mistral Small · Procure-to-pay · budget prompt · first choice
“The Absolute Best Value: Spendwise ... most affordable fully-featured P2P platform on the market” GLM 4.7 FlashX · Procure-to-pay · budget prompt · first choice
“includes options like Spendwise, which starts at $9/month/user” Llama 4 Maverick · Supplier management · budget prompt · first choice
“If you have fewer than 10 users and only need POs plus approvals, Spendwise at ~$9/user is unbeatable.” DeepSeek V4 Flash · Procure-to-pay · 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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 42 of the 43 answers that named Spendwise and are not a share of its labels.
197 of the 197 domain citations in answers naming Spendwise 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 | 17 | 4 | 2026-09-21 | ||
| Case study | 10 | undated | |||
| Report or ebook | 1 | undated |
Every page spendwise.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. 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 Spendwise's own pages state, read September 28, 2026: spendwise.com, spendwise.com/pricing, spendwise.com/security, spendwise.com/case-studies. 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 Spendwise'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 Spendwise, 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 Spendwise by email, built from the raw record of the edition. It shows: