3 categories · RankedSift
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Ecommerce fraud prevention | Receivables and billing | 4% | 8 of 70 | 16% | 44 | accepted challenger | |
| Chargeback management | Receivables and billing | 0% | 18 of 81 | 0% | 7 | under 10 labels · led by Chargeflow at 24% | |
| AML and transaction monitoring | Tax and compliance | 0% | 59 of 108 | 0% | 1 | under 10 labels · led by ComplyAdvantage at 33% |
Movement
By model
How each model treated Sift across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 1 | 3 |
| GPT-5.4 mini | 1 | 3 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 1 | 4 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.1 Fast | 2 | 1 | 1 | 1 | 5 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 1 | 4 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 1 | 3 |
| Kimi K2 | 0 | 5 | 1 | 1 | 7 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 0 | 3 |
| MiniMax M2.5 | 0 | 3 | 2 | 0 | 5 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 1 | 1 | 1 | 1 | 4 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Start with Sift for most mid-market B2B ecommerce—it's consistently #1 in G2 rankings for balanced performance without overkill.” Grok 4.1 Fast · Ecommerce fraud · direct prompt · first choice
“Sift maintains #1 position across all fraud prevention categories in G2's Fall 2025 Reports” Muse Glimmer 30B · Ecommerce fraud · comparative prompt · first choice
“Sift - Top-rated on G2 for real-time detection.” Grok 4.1 Fast · Ecommerce fraud · comparative prompt · first choice
“the best all-around choice is usually Sift” GPT-5.4 mini · Ecommerce fraud · direct prompt · first choice
And against it
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.
“Can be complex to configure; occasional false positives requiring manual review. Not ideal for very small teams due to setup overhead.” Grok 4.1 Fast · Ecommerce fraud · negative prompt · soft negative
“Unlike consumer-focused tools (like Sift or Stripe Radar), these are specifically designed for B2B payment workflows” Kimi K2 · Ecommerce fraud · paraphrase prompt · soft negative
“Some users note that the system can occasionally generate false positives, which may require additional review time.” Claude Haiku 4.5 · Ecommerce fraud · negative prompt · soft negative
“Sift has received significant criticism from users regarding inaccuracy and false positives” Qwen 3.7 Flash · Ecommerce fraud · negative prompt · soft negative
Named alongside
The products named in the same answers as Sift, over the 161 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sift was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 153 of the 161 answers that named Sift and are not a share of its labels.
Domains cited
609 of the 609 domain citations in answers naming Sift came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
sift.com ranks first on Google for the category's searches. In the answers, Sift takes 4% of first choices and SEON takes 16%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 27,100 a month (“sift”)
- AI search demand for its name, est.
- 5,273 a month
- Organic visits to its site
- about 16,711 a month
- Searches its site ranks for
- 1,146 · 129 in the top three
- Sites linking to it
- 5,940
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This edition- First choices
- 10 across its categories
- Named in
- 161 answers
- Its own site cited
- in 153 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 528 | 15 | 2026-10-02 | Ecommerce fraud | |
| Webinar or virtual event | 46 | 4 | 2026-09-16 | ||
| Case study | 42 | 0 | 2025-07-15 | ||
| Report or ebook | 33 | 1 | 2026-07-31 | Ecommerce fraud | |
| Podcast or video | 28 | 0 | 2025-10-02 | ||
| Glossary or explainer | 19 | 1 | 2026-09-28 | ||
| Conference or event | 10 | 1 | 2026-09-28 | ||
| Comparison | 8 | 0 | 2025-03-16 | ||
| Template or tool | 2 | 0 | 2025-09-16 | ||
| News or press | 2 | undated |
Most recent
- 2026-10-02Password spraying blog
- 2026-09-29Ai scams are rising blog
- 2026-09-29Digital trust index q3 2026 blog
- 2026-09-28What is credential stuffing glossary or explainer
- 2026-09-28Ai scams peak events and the cost of a slow response conference or event
- 2026-09-25Tokens are works new currency fraud got there first blog
How it is countedHide how it is counted
Every page sift.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. 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 October 5, 2026.
Names read as Sift
Follow Sift
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.
The company
Sift is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- Fraud Prevention Platform for Digital Business
- For
- Digital business
- Certifications
- CPFPP Certification
- Customers named
- HertzYelpPoshmarkPatreonPaula's ChoiceSmartproxyTuroSkill Share
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, hosting
What Sift's own pages state, read October 5, 2026: sift.com, sift.com/platform, sift.com/resources/case-studies. A claimed page can correct any of them.
Claim this page
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 Sift'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 Sift, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Sift by email, built from the raw record of the edition. It shows:
- where Sift is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Sift, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.