Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 31 of 125, unchanged
1 category · Named, not rankedDelivr.ai
8Judge labels
2First choices
0Negative labels
6 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Delivr.ai was named 6 times in Identity, where Hightouch Adaptive Identity Resolution led with 12%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business33 of 131
0%2 labels
under the label threshold
Mid-market8 of 140
4%6 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In identity · 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 Delivr.ai 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 |
|---|---|---|---|---|---|---|---|
| Identity resolution | GTM data and infrastructure | 4% | 8 of 140 | 0% | 6 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Delivr.ai held within the floor in its one category: no change cleared 11 points.
Best category · Identity · by segment
Mid-market▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 0% in September 2026
Inside the floor by 6 pointsRank 35 → 7 of 131
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Identity | 0% | 5% | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 35 → 8 of 140 |
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 Delivr.ai 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 Delivr.ai 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 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
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
Direct3 labels1
Paraphrase3 labels1
Comparative2 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 2 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.
“specifically highlighted for mid-size businesses... Delivr.ai and Melissa Data are strong starting points” Mistral Small · Identity · paraphrase prompt · first choice
“1. Delivr.ai — Best for Anonymous Traffic Resolution” Qwen 3.7 Flash · Identity · direct prompt · first choice
“often evaluated via vendor-specific visitor ID tools such as Delivr.ai, which is surfaced for mid-size business use” Muse Glimmer 30B · Identity · paraphrase prompt · alternative
“Offers strong anonymous visitor resolution for B2B websites” Mistral Small · Identity · direct 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.
No model argued against it.
Named alongside
The products named in the same answers as Delivr.ai, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Delivr.ai was named but was not.ShowHide
Named alongside
The products named in the same answers as Delivr.ai, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Delivr.ai 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 Delivr.ai. 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 8 of the 8 answers that named Delivr.ai and are not a share of its labels.
Domains cited
sourceforge.net8
oppora.ai6
prospeo.io6
checkthat.ai5
slashdot.org5
tomba.io5
guideflow.com4
scmgalaxy.com4
aboutmartech.com3
delivr.aiYour site3
Forty-six of the forty-nine domain citations in answers naming Delivr.ai 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 delivr.ai
301
subdomains included
Content
57
counted in the table below
Documentation
202
Product · Integration
6 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Comparison | 28 | 5 | 2026-07-01 | ||
| Blog | 25 | 3 | 2026-08-31 | Identity, ABM | |
| Glossary or explainer | 2 | 0 | 2025-10-14 | Identity | |
| Conference or event | 1 | undated | |||
| News or press | 1 | 1 | 2026-08-18 |
Most recent
- 2026-08-31Founder to ceo decision rights blog
- 2026-08-29B2b personalization unifying message blog
- 2026-08-18Delivr ai clay data partner topic intent news or press
- 2026-07-01Delivr vs leadfeeder comparison
- 2026-07-01Delivr vs clearbit comparison
- 2026-07-01Delivr vs factors comparison
How it is countedHide how it is counted
Every page delivr.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.
Follow Delivr.ai
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
Delivr.ai is its own company.ShowHide
The company
Delivr.ai is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Deterministic identity resolution platform for B2B marketers. Identity, intent, buyers journey, and advertising.
- For
- B2B marketers
- Price stated
- Transparent, usage-based plans delivr.ai
- Starting price
- 0 delivr.ai/pricing
- Free plan or trial
- Build on a dev key delivr.ai
- Certifications
- SOC 2 in progressSOC 2 Type II audit in progressGDPR programmeCCPA and CPRA rights
- Hosting
- United States
- Not stated on the pages read
- Integrations, customers
What Delivr.ai's own pages state, read October 5, 2026: delivr.ai, delivr.ai, delivr.ai/pricing, trust.delivr.ai, delivr.ai/platforms. 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 Delivr.ai'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 Delivr.ai, 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 Delivr.ai by email, built from the raw record of the edition. It shows:
- where Delivr.ai 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 Delivr.ai, 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.