Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 83 of 84, unchanged
Amazon's AI Recruiting Tool
5Judge labels
0First choices
5Negative labels
2 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Amazon's AI Recruiting Tool was named 3 times in AI recruiting assistants and 1 other category, where Manatal led with 31%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market89 of 90
0%2 labels
under the label threshold
Enterprise69 of 76
0%1 label
under the label threshold
In ai recruiting assistants · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Amazon's AI Recruiting Tool for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI recruiting assistants | Talent acquisition | 0% | 89 of 90 | 100% | 2 | under 10 labels · led by Manatal at 31% | newNew since September 2026: not ranked then, 0% now. |
| HR AI assistants | Onboarding and employee experience | 0% | 129 of 142 | 100% | 1 | under 10 labels · led by MeBeBot at 21% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Amazon's AI Recruiting Tool held within the floor in all two categories: no change cleared 13 points.
Best category · AI recruiting assistants · by segment
EnterprisenewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 66 of 74, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI recruiting assistants | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 89 of 90, unchanged |
| HR AI assistants | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 129 of 142, 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 13 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
By model
How each model treated Amazon's AI Recruiting Tool across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Amazon's AI Recruiting Tool across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | 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 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 2 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative5 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
No positive label carried a quote.
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.
“Why avoid: This is the classic cautionary tale. Amazon built an AI resume screener that systematically downgraded women” DeepSeek V4 Flash · HR AI assistants · negative prompt · hard negative
“Though Amazon scrapped this tool in 2018, it remains the most cited example of AI recruiting gone wrong” DeepSeek V4 Flash · AI recruiting assistants · negative prompt · hard negative
“abandoned in 2018 after discovering it preferred male candidates” MiniMax M2.5 · AI recruiting assistants · negative prompt · hard negative
Named alongside
The products named in the same answers as Amazon's AI Recruiting Tool, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon's AI Recruiting Tool was named but was not.ShowHide
Named alongside
The products named in the same answers as Amazon's AI Recruiting Tool, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon's AI Recruiting Tool was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Amazon's AI Recruiting Tool. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 5 of the 5 answers that named Amazon's AI Recruiting Tool and are not a share of its labels.
Domains cited
reuters.com5
theguardian.com4
publications.lawschool.cornell.edu3
shrm.org3
classaction.org2
everworker.ai2
fisherphillips.com2
forbes.com2
fortune.com2
journals.law.unc.edu2
No domain is on file for Amazon's AI Recruiting Tool, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Names read as Amazon's AI Recruiting Tool
What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon's AI Recruiting Tool; a claim can dispute any of them.
Amazon’s AI recruiting tool 1
Follow Amazon's AI Recruiting Tool
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.
Is this your product?
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 Amazon's AI Recruiting Tool'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 Amazon's AI Recruiting Tool, 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 Amazon's AI Recruiting Tool by email, built from the raw record of the edition. It shows:
- where Amazon's AI Recruiting Tool 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 Amazon's AI Recruiting Tool, 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.