Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 43 → 19 of 45
2 categories · RankedPeople Data Labs
30Judge labels
1First choices
1Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in Enrichment for enterprise buyers
Rank 12 of 50 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 9% of its 11 labels there were negative.
What the models named instead of People Data Labs →By buyer segmentRead the same way at every buyer size.
Small business16 of 49
0%3 labels
under the label threshold
Mid-market12 of 50
0%11 labels
accepted challenger
Enterprise6 of 53
2%11 labels
accepted challenger
In enrichment · 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 People Data Labs 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 |
|---|---|---|---|---|---|---|---|
| Data enrichment | GTM data and infrastructure | 0% | 12 of 50 | 9% | 11 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Sales engagement platforms | Sales | 0% | 56 of 66 | 0% | 1 | under 10 labels · led by Apollo.io at 35% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, People Data Labs held within the floor in all two categories: no change cleared 11 points.
Best category · Enrichment · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 15 → 12 of 48
Enterprise=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 9 → 6 of 46
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Enrichment | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 15 → 12 of 50 |
| Sales engagement | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 56 of 66, 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 11 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 People Data Labs 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 People Data Labs 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 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 4 | 0 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| 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
Direct4 labelsNone
Paraphrase2 labelsNone
Comparative12 labelsNone
Budget-constrained7 labels1
Scale-constrained2 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative30 labels in all, every segment counted; 1 of the 1 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.
“Building enrichment into an application or data pipeline: compare People Data Labs” GPT-6 Luna · Enrichment · comparative prompt · alternative
“Choose People Data Labs if you need an API-first, custom-built solution.” GPT-5.4 mini · Enrichment · comparative prompt · alternative
“Pure API‑first approach, ideal for custom integrations and technical teams.” GLM 4.7 FlashX · Enrichment · comparative prompt · alternative
“Best for developers: People Data Labs” DeepSeek V4 Flash · Enrichment · comparative 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.
“concerns about data accuracy and compliance, with some users reporting high credit consumption for low match rates” Mistral Small · Enrichment · negative prompt · hard negative
Named alongside
The products named in the same answers as People Data Labs, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and People Data Labs was named but was not.ShowHide
Named alongside
The products named in the same answers as People Data Labs, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and People Data Labs 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 People Data Labs. 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 30 of the 30 answers that named People Data Labs and are not a share of its labels.
Domains cited
demandbase.com13
amplemarket.com10
autobound.ai10
cleanlist.ai10
clay.com9
pipeline.zoominfo.com8
prospeo.io8
revoscale.io8
11x.ai7
cognism.com7
Ninety of the ninety domain citations in answers naming People Data Labs came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
peopledatalabs.com is not in Google's top ten for any of the category's searches. In the answers, People Data Labs takes 0% of first choices and Apollo.io takes 73%.ShowHide
Search and answers
peopledatalabs.com is not in Google's top ten for any of the category's searches. In the answers, People Data Labs takes 0% of first choices and Apollo.io takes 73%.
ShowHideIn search
Google, US estimatesPosition for “b2b data enrichment tool”
–
not in the top ten
Position for “best b2b data enrichment tool”
–
not in the top ten
- Searches for its name, Google
- 3,600 a month (“people data labs”)
- AI search demand for its name, est.
- 70 a month
- Organic visits to its site
- about 2,093 a month
- Searches its site ranks for
- 330 · 41 in the top three
- Sites linking to it
- 1,645
- Paid Google search
- 2 searches its ads show for, about 44 clicks and $1,962 a month (estimate)
In answers
This editionShare of first choices
0%
rank 12 of 50 in enrichment
Segment leader
73%
Apollo.io
- First choices
- 1 across its categories
- Named in
- 30 answers
- Its own site cited
- in 30 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 peopledatalabs.com
424
subdomains included
Content
68
counted in the table below
Documentation
289
Product · Integration
3 · 7
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 45 | undated | Enrichment | ||
| Case study | 8 | undated | |||
| Webinar or virtual event | 8 | undated | |||
| Glossary or explainer | 5 | undated | |||
| Comparison | 2 | undated |
How it is countedHide how it is counted
Every page peopledatalabs.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 People Data Labs
What the judge wrote, as written, with how often. The vendor table decides that these count as People Data Labs; a claim can dispute any of them.
People Data Labs (PDL) 3
Follow People Data Labs
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
People Data Labs is its own company.ShowHide
The company
People Data Labs is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- B2B Data Provider for Industry Leading Platforms
- For
- industry leading platforms
- Price stated
- free, Starting at $98/mo, Custom pricing peopledatalabs.com/pricing/person
- Starting price
- 98 peopledatalabs.com/pricing/person
- Free plan or trial
- Try for Free peopledatalabs.com
- Certifications
- ISO 27001SOC 2 Type 2ISO & SOC 2 Type 2 compliantISO & SOC 2 Type 2SOC 2 Type IIISO 27001:2013EU-U.S. DPFGDPR
- Hosting
- USA
- Customers named
- Credit PulseRisk XUnearthMadison LogicFraud XOld Well LabsEquiam
- Not stated on the pages read
- Integrations
What People Data Labs's own pages state, read October 5, 2026: peopledatalabs.com, peopledatalabs.com/pricing/person, trust.peopledatalabs.com, peopledatalabs.com/use-cases/hr-tech, peopledatalabs.com/data-lab/customer-stories. 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 People Data Labs'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 People Data Labs, 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 People Data Labs by email, built from the raw record of the edition. It shows:
- where People Data Labs 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 People Data Labs, 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.