Small business▲+5Since September 2026: 0% → 5%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
5%from 0% in September 2026
Inside the floor by 8 pointsRank 78 → 7 of 100
5 categories · RankedSeekOut
224Judge labels
17First choices
42Negative labels
14 / 14Models named it
5Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
18% in Recruiting CRM for enterprise buyers
Rank 9 of 90 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 10% of its 31 labels there were negative.
What the models named instead of SeekOut →By buyer segmentRead the same way at every buyer size.
Small business8 of 104
4%25 labels
accepted challenger
Mid-market9 of 90
2%31 labels
accepted challenger
Enterprise3 of 68
6%39 labels
accepted challenger
In talent intelligence · 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 SeekOut 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 |
|---|---|---|---|---|---|---|---|
| Talent intelligence | Performance and talent management | 2% | 9 of 90 | 10% | 31 | accepted challenger | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruiting CRM and sourcing | Talent acquisition | 0% | 21 of 111 | 7% | 27 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| AI recruiting assistants | Talent acquisition | 0% | 15 of 90 | 0% | 18 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| People analytics | Workforce planning and analytics | 0% | 78 of 114 | 0% | 1 | under 10 labels · led by Crunchr at 22% | newNew since September 2026: not ranked then, 0% now. |
| Recruitment marketing and career sites | Talent acquisition | 0% | 65 of 104 | 0% | 1 | under 10 labels · led by Teamtailor at 23% | goneNot named this edition; 0% in September 2026. |
Movement
Since September 2026, SeekOut held within the floor in all five categories: no change cleared 13 points.
Best category · Talent intelligence · by segment
Mid-market▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 6% in September 2026
Inside the floor by 9 pointsRank 7 → 8 of 80
Enterprise▲+2Since September 2026: 5% → 7%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
7%from 5% in September 2026
Inside the floor by 11 pointsRank 2 → 3 of 63
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Talent intelligence | 6% | 2% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 9 of 90 |
| AI recruiting assistants | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 15 of 90 |
| Recruiting CRM | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 9 → 21 of 111 |
| People analytics | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 78 of 114, unchanged |
| Recruitment marketing | 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 65 of 104, 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 SeekOut 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 SeekOut 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 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 5 | 1 | 0 | 6 |
| Gemini 3.5 Flash | 0 | 5 | 2 | 0 | 7 |
| Perplexity Sonar | 0 | 4 | 2 | 0 | 6 |
| Grok 4.1 Fast | 0 | 5 | 1 | 2 | 8 |
| Mistral Small | 0 | 3 | 4 | 0 | 7 |
| DeepSeek V4 Flash | 0 | 2 | 3 | 0 | 5 |
| Llama 4 Maverick | 0 | 1 | 3 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 5 | 1 | 0 | 7 |
| Kimi K2 | 1 | 3 | 1 | 2 | 7 |
| GLM 4.7 FlashX | 0 | 2 | 3 | 0 | 5 |
| MiniMax M2.5 | 0 | 3 | 2 | 0 | 5 |
| GPT-6 Luna | 0 | 4 | 0 | 0 | 4 |
| Muse Glimmer 30B | 0 | 3 | 1 | 1 | 5 |
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
Direct57 labels9
Paraphrase5 labelsNone
Comparative80 labels4not counted in share
Budget-constrained35 labels8
Scale-constrained21 labelsNone
Negative26 labels1not counted in share
First choiceAlternativeMentionNegative224 labels in all, every segment counted; 17 of the 22 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.
“Need to fill niche tech roles? Look at SeekOut.” Qwen 3.7 Flash · AI recruiting assistants · comparative prompt · first choice
“SeekOut – Best Overall for Mid-Market” Kimi K2 · Talent intelligence · direct prompt · first choice
“Choose a single-seat SeekOut Recruit Core plan to leverage enterprise-grade search filters without an enterprise contract.” Gemini 3.5 Flash · Talent intelligence · budget prompt · alternative
“Excellent for deep, diverse, and technical talent pools... though pricing has increasingly leaned toward enterprise budgets.” Gemini 3.5 Flash · Talent intelligence · scale prompt · alternative
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.
“SeekOut, Findem, Beamery: Don't publish pricing (often signals enterprise-level costs)” Kimi K2 · Recruiting CRM · negative prompt · hard negative
“In recruiting/talent sourcing tools (e.g., LinkedIn Recruiter, HireEZ, SeekOut): Be cautious of platforms with outdated/stale data” Grok 4.1 Fast · Recruiting CRM · negative prompt · soft negative
“18% negative sentiment noted. Seat-based model draws complaints on contact data accuracy, pricing, and ROI challenges” Grok 4.1 Fast · Talent intelligence · negative prompt · soft negative
“Users report it's "slower to reach ROI"” Kimi K2 · Talent intelligence · negative prompt · soft negative
Named alongside
The products named in the same answers as SeekOut, over the 224 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SeekOut was named but was not.ShowHide
Named alongside
The products named in the same answers as SeekOut, over the 224 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SeekOut 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 SeekOut. 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 205 of the 224 answers that named SeekOut and are not a share of its labels.
Domains cited
pin.com121
lever.co70
g2.com67
skima.ai65
guideflow.com60
metaview.ai55
noon.ai47
learn.g2.com46
sapia.ai46
selectsoftwarereviews.com46
623 of the 623 domain citations in answers naming SeekOut came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
seekout.com ranks 9 on Google for the category's searches. In the answers, SeekOut takes 2% of first choices and Pin takes 27%.ShowHide
Search and answers
seekout.com ranks 9 on Google for the category's searches. In the answers, SeekOut takes 2% of first choices and Pin takes 27%.
ShowHideIn search
Google, US estimatesPosition for “talent intelligence platform”
–
not in the top ten
Position for “talent intelligence platforms”
9
- Searches for its name, Google
- 6,600 a month (“seekout”)
- AI search demand for its name, est.
- 52 a month
- Organic visits to its site
- about 5,796 a month
- Searches its site ranks for
- 742 · 56 in the top three
- Sites linking to it
- 1,779
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
2%
rank 9 of 90 in talent intelligence
Segment leader
27%
Pin
- First choices
- 17 across its categories
- Named in
- 224 answers
- Its own site cited
- in 205 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
ShowHideAddresses on seekout.com
531
subdomains included
Content
184
counted in the table below
Documentation
254
Product · Integration
9 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 131 | 2 | 2026-09-18 | ||
| Report or ebook | 28 | 0 | 2024-12-17 | ||
| Webinar or virtual event | 15 | 0 | 2025-03-07 | ||
| Comparison | 7 | 1 | 2026-09-01 | ||
| Case study | 1 | 0 | 2024-01-11 | ||
| Conference or event | 1 | 0 | 2024-02-13 | ||
| News or press | 1 | 0 | 2026-03-28 |
Most recent
- 2026-09-18Seekout talent intelligence agent blog
- 2026-09-09Seekout now in microsoft 365 copilot blog
- 2026-09-01X-Ray search vs. SeekOut search | SeekOut Help Center comparison
- 2026-06-24Seekout now an app in chatgpt run your whole recruiting workflow in one chat blog
- 2026-06-16Agentic ai recruiting leveled up with seekout blog
- 2026-06-11Introducing seekout recruit core enterprise grade ai sourcing built for small teams blog
How it is countedHide how it is counted
Every page seekout.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 September 29, 2026.
Names read as SeekOut
What the judge wrote, as written, with how often. The vendor table decides that these count as SeekOut; a claim can dispute any of them.
Beamery / SeekOut 1
Follow SeekOut
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
SeekOut is its own company.ShowHide
The company
SeekOut is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Agentic AI Recruiting Platform
- For
- Recruiters, Sourcers, and TA Leaders
- Price stated
- Plans and packaging for every team size seekout.com
- Starting price
- 149 seekout.com/pricing
- Free plan or trial
- Try free seekout.com
- Certifications
- SOC 2 Type II CertifiedGDPR CompliantEnterprise Ready
- Customers named
- DocuSignSonyThomson ReutersAtlassianRobloxDiscordCanvaSplunk
- Not stated on the pages read
- Integrations, hosting
What SeekOut's own pages state, read September 28, 2026: seekout.com, seekout.com/pricing, trust.seekout.com, seekout.com/solutions, seekout.com/customers. 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 SeekOut'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 SeekOut, 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 SeekOut by email, built from the raw record of the edition. It shows:
- where SeekOut 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 SeekOut, 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.