SAS AML
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
ComplyAdvantage is first at 29%.
ComplyAdvantage is first at 39%. 0 of 14 models made it the first choice when asked directly.
NICE Actimize is first at 38%.
Why models recommend it
“Best for: Regulated institutions with in-house analytics teams that value statistical rigor”DeepSeek V4 Flash · Comparative question · alternative
What gives them pause
“Legacy vendors like SAS AML, Oracle Mantas, and FICO TONBELLER (Siron): Highlighted in 2025 analyses as outdated for payment processors.”Grok 4.20 · Negative question · warning
“Frequently mentioned in lists of older solutions that can be rigid, difficult to scale, and slow to adapt to modern regulatory changes.”GLM 4.7 FlashX · Negative question · warning
“critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings”Muse Glimmer 30B · Negative question · warning
“widely considered "legacy" options that struggle to meet modern speed requirements”Qwen 3.7 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as SAS AML, over the 30 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 29 | 6 | View → | |
| 21 | 5 | View → | |
| 14 | 0 | View → | |
| 14 | 0 | View → | |
| 14 | 0 | View → | |
| 13 | 0 | View → | |
| 9 | 1 | View → | |
| 8 | 1 | View → | |
| 7 | 0 | View → | |
| 7 | 0 | View → |
What the models named instead of SAS AML →
A side-by-side page exists where both products are among a category's top eight.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 29 of the 30 answers that named SAS AML and are not a share of its labels.
Domains cited
No domain is on file for SAS AML, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 2 | 2 | 4 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |