# Sift: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 64 judge labels across 2 categories by 14 of 14 models. Page: https://www.gane.ai/index/finance/vendors/sift

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Ecommerce fraud prevention](https://www.gane.ai/index/finance/receivables/ecommerce-fraud-prevention/index.md) | 9% | 4 | 16% | 50 |
| [Chargeback management](https://www.gane.ai/index/finance/receivables/chargeback-management/index.md) | 0% | 20 | 7% | 14 |

## What the models said for it

- "Kount, Signifyd, or Sift: Strong for fraud prevention and friendly fraud; highly rated for ecommerce." (Grok 4.20, Chargeback management)
- "Sift — *Best Overall for Digital B2B Storefronts & ATO Protection*" (Gemini 3.5 Flash, Ecommerce fraud)
- "I'd recommend requesting demos from ClearSale, Sift, and SEON" (MiniMax M2.5, Ecommerce fraud)
- "A mid-market friendly, deployment-light option is Sift." (Muse Glimmer 30B, Ecommerce fraud)

## And against it

- "Sift – if you don't have a dedicated risk team, due to complexity and false positives." (DeepSeek V4 Flash, Ecommerce fraud)
- "specific complaints focus on the user experience and rule creation" (GLM 4.7 FlashX, Ecommerce fraud)
- "enterprise-focused tools like Signifyd, Riskified, or Sift, which often target mid-market+ businesses and can cost thousands per month" (Grok 4.20, Ecommerce fraud)
- "Platforms like Kount or Sift (when used without tailored plans) can be prohibitively expensive and complex for small merchants" (Qwen 3.7 Flash, Ecommerce fraud)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 1 | 1 | 2 | 1 | 5 |
| Gemini 3.5 Flash | 1 | 2 | 1 | 1 | 5 |
| Perplexity Sonar | 0 | 3 | 0 | 1 | 4 |
| Grok 4.20 | 1 | 6 | 1 | 1 | 9 |
| Mistral Small | 0 | 2 | 2 | 1 | 5 |
| DeepSeek V4 Flash | 0 | 3 | 2 | 1 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 2 | 1 | 1 | 5 |
| Kimi K2 | 0 | 3 | 2 | 0 | 5 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 1 | 1 | 2 | 0 | 4 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 2 | 2 | 1 | 6 |

## Sources returned with these answers

The sites and pages cited by the answers that named Sift, from 166 of the 180 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 97
- hcaptcha.com: 57
- stripe.com: 54
- fraudio.com: 41
- merchantfraudjournal.com: 40
- cside.com: 39
- paymentsandrisk.com: 39
- guideflow.com: 33
- capterra.com: 32
- sourceforge.net: 31

### Pages cited

- https://g2.com/categories/e-commerce-fraud-protection: 61
- https://hcaptcha.com/learning/fraud-prevention/ecommerce-fraud-prevention-software: 57
- https://merchantfraudjournal.com/top-ecommerce-fraud-prevention-solutions: 39
- https://cside.com/blog/ecommerce-fraud-prevention-software: 35
- https://paymentsandrisk.com/docs/fraud/vendors/landscape: 29
- https://fraudio.com/roundups/best-ecommerce-fraud-prevention-software-tools-compared: 28
- https://learn.g2.com/best-e-commerce-fraud-protection-software: 26
- https://stripe.com/resources/more/ecommerce-fraud-prevention-software: 24

## In its own words

What Sift's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Fraud Prevention Platform for Digital Business (https://sift.com/)
- For: Digital business (https://sift.com/)
- Customers named: Hertz, Yelp, Poshmark, Patreon, Paula's Choice, Smartproxy, Turo, Skill Share

## What it publishes

Every page sift.com exposes, read 2026-10-05: 861 addresses. By kind, pages and the last 90 days:

- blog: 528 pages, 15 in the last 90 days, latest 2026-10-02
- case study: 42 pages, 0 in the last 90 days, latest 2025-07-15
- webinar or virtual event: 46 pages, 4 in the last 90 days, latest 2026-09-16
- conference or event: 10 pages, 1 in the last 90 days, latest 2026-09-28
- report or ebook: 33 pages, 1 in the last 90 days, latest 2026-07-31
- comparison: 8 pages, 0 in the last 90 days, latest 2025-03-16
- template or tool: 2 pages, 0 in the last 90 days, latest 2025-09-16
- glossary or explainer: 19 pages, 1 in the last 90 days, latest 2026-09-28
- podcast or video: 28 pages, 0 in the last 90 days, latest 2025-10-02
- news or press: 2 pages, 0 in the last 90 days, latest undated
- Recent: 2026-10-02 blog: Password spraying https://sift.com/blog/password-spraying
- Recent: 2026-09-29 blog: Ai scams are rising https://sift.com/blog/ai-scams-are-rising
- Recent: 2026-09-29 blog: Digital trust index q3 2026 https://sift.com/resources/index-reports/digital-trust-index-q3-2026
- Recent: 2026-09-28 glossary or explainer: What is credential stuffing https://sift.com/blog/what-is-credential-stuffing
- Recent: 2026-09-28 conference or event: Ai scams peak events and the cost of a slow response https://sift.com/events/ai-scams-peak-events-and-the-cost-of-a-slow-response/
- Recent: 2026-09-25 blog: Tokens are works new currency fraud got there first https://sift.com/blog/tokens-are-works-new-currency-fraud-got-there-first

## Record

- Method: https://www.gane.ai/index/finance/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/finance.