Small businessgoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 13 pointsNot ranked
2 categories · Named, not rankedNoon
12Judge labels
1First choices
0Negative labels
6 / 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. Noon was named 3 times in Recruiting CRM and 1 other category, where Gem led with 15%. 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-market35 of 111
0%2 labels
under the label threshold
Enterprise26 of 78
0%4 labels
under the label threshold
In recruiting crm · 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 Noon 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 |
|---|---|---|---|---|---|---|---|
| Recruiting CRM and sourcing | Talent acquisition | 0% | 35 of 111 | 0% | 2 | under 10 labels · led by Gem at 15% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| AI recruiting assistants | Talent acquisition | 0% | 67 of 90 | 0% | 1 | under 10 labels · led by Manatal at 31% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Noon held within the floor in all two categories: no change cleared 13 points.
Best category · Recruiting CRM · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 66 → 34 of 108
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 11 pointsRank 13 → 22 of 72
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Recruiting CRM | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 66 → 35 of 111 |
| AI recruiting assistants | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 36 → 67 of 90 |
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 Noon 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 Noon 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 | 1 | 0 | 0 | 0 | 1 |
| 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 | 2 | 0 | 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 | 0 | 0 |
| 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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative2 labels1not counted in share
Budget-constrained5 labels1
Scale-constrained4 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative12 labels in all, every segment counted; 1 of the 2 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.
“Noon is best for end-to-end autonomous sourcing” Claude Haiku 4.5 · Recruiting CRM · comparative 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.
No model argued against it.
Named alongside
The products named in the same answers as Noon, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Noon was named but was not.ShowHide
Named alongside
The products named in the same answers as Noon, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Noon 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 Noon. 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 12 of the 12 answers that named Noon and are not a share of its labels.
Domains cited
noon.aiYour site12
pin.com11
metaview.ai6
peoplemanagingpeople.com5
lever.co4
resources.rework.com4
intervue.io3
leonar.app3
sapia.ai3
selectsoftwarereviews.com3
Forty-two of the fifty-four domain citations in answers naming Noon came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on noon.ai
1,236
subdomains included
Content
385
counted in the table below
Documentation
0
Product · Integration
9 · 46
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 273 | 99 | 2026-09-28 | ||
| Comparison | 103 | undated | |||
| Report or ebook | 4 | 0 | 2026-05-27 | ||
| Template or tool | 2 | 0 | 2026-05-13 | ||
| Webinar or virtual event | 1 | 0 | 2026-04-02 | ||
| Conference or event | 1 | 1 | 2026-08-10 | ||
| Glossary or explainer | 1 | 0 | 2026-03-19 |
Most recent
- 2026-09-28325 recruiters spend all day on manual sourcing blog
- 2026-09-28324 spark hire pricing 2026 blog
- 2026-09-27323 talentlyft pricing 2026 blog
- 2026-09-27322 homerun pricing 2026 blog
- 2026-09-26321 jobadder pricing 2026 blog
- 2026-09-26320 vincere pricing 2026 blog
How it is countedHide how it is counted
Every page noon.ai 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 September 29, 2026.
Names read as Noon
What the judge wrote, as written, with how often. The vendor table decides that these count as Noon; a claim can dispute any of them.
Noon AI 1
Follow Noon
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
Noon is its own company.ShowHide
The company
Noon is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- the autonomous AI recruiter that sources, screens, and reaches out to qualified candidates
- For
- recruiting teams
- Price stated
- Subscription noon.ai
- Free plan or trial
- Start free noon.ai
- Integrations claimed
- 20 noon.ai/pricing
- Certifications
- SOC 2 Type IISOC 2 Type II CertifiedGDPR CompliantGDPR
- Customers named
- MercorHandshakeCounsel HealthOrumTuringAnrokPlaygroundTogether AI
- Not stated on the pages read
- Starting price, hosting
What Noon's own pages state, read October 6, 2026: noon.ai, noon.ai, noon.ai/pricing, noon.ai/security, noon.ai/product/ai-sourcer. A claimed page can correct any of them.
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 Noon'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 Noon, 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 Noon by email, built from the raw record of the edition. It shows:
- where Noon 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 Noon, 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.