Small business▲+9Since September 2026: 32% → 41%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
41%from 32% in September 2026
Inside the floor by 2 pointsRank 1 of 69, unchanged
8 categories · RankedStackAdapt
388Judge labels
130First choices
30Negative labels
14 / 14Models named it
8Categories
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
48% in Programmatic for mid-market buyers
Rank 1 of 92 in the mid-market standingendorsed leader
11 of 14 models made it the first choice on the direct prompt; 10% of its 60 labels there were negative.
What the models named instead of StackAdapt →By buyer segmentStrongest at mid-market.
Small business1 of 71
43%60 labels
endorsed leader
Mid-market1 of 92
48%60 labels
endorsed leader
Enterprise4 of 64
6%33 labels
accepted challenger
In programmatic · 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 StackAdapt 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 |
|---|---|---|---|---|---|---|---|
| Programmatic and display advertising | Marketing | 48% | 1 of 92 | 10% | 60 | endorsed leader | ▼−17Since September 2026: 61% → 44%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Native and content advertising | Marketing | 41% | 1 of 86 | 0% | 41 | endorsed leader | ▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Video advertising | Marketing | 32% | 1 of 114 | 0% | 36 | endorsed leader | ▲+9Since September 2026: 24% → 33%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Audio and podcast advertising | Marketing | 20% | 2 of 101 | 0% | 19 | accepted challenger | |
| Retail media platforms | Marketing | 4% | 8 of 121 | 0% | 2 | under 10 labels · led by Amazon Ads at 33% | |
| Account-based marketing platforms | Marketing | 0% | 71 of 71 | 100% | 2 | under 10 labels · led by AdRoll ABM at 53% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Search and social advertising platforms | Marketing | 0% | 62 of 113 | 0% | 2 | under 10 labels · led by Google Ads at 13% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Retail, proximity and IoT marketing | Marketing | 0% | 73 of 130 | 0% | 1 | under 10 labels · led by Foursquare Proximity at 15% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, StackAdapt moved past the floor in two of eight categories: Native ads, +21 points to 44%; Programmatic, −17 points to 44%. It held within the floor in the other six.
Best category · Programmatic · by segment
Mid-market▼−17Since September 2026: 61% → 44%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.
44%from 61% in September 2026
Cleared the floor by 6 pointsRank 1 of 86, unchanged
Enterprise▼−4Since September 2026: 9% → 4%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 9% in September 2026
Inside the floor by 7 pointsRank 3 → 4 of 60
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Native ads | 23% | 44% | ▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 of 86, unchanged |
| Audio advertising | 0% | 21% | newNew since September 2026: not ranked then, 21% now. | New this edition | Rank 2 of 101, unchanged |
| Programmatic | 61% | 44% | ▼−17Since September 2026: 61% → 44%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 of 92, unchanged |
| Video ads | 24% | 33% | ▲+9Since September 2026: 24% → 33%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 114, unchanged |
| Retail media | 0% | 4% | newNew since September 2026: not ranked then, 4% now. | New this edition | Rank 8 of 121, unchanged |
| Proximity | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 73 of 130 |
| Paid ads | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 19 → 62 of 113 |
| ABM | 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 69 → 71 of 71 |
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 StackAdapt 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 StackAdapt 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 | 8 | 2 | 3 | 1 | 14 |
| GPT-5.4 mini | 2 | 1 | 1 | 2 | 6 |
| Gemini 3.5 Flash | 9 | 4 | 1 | 0 | 14 |
| Perplexity Sonar | 5 | 5 | 0 | 1 | 11 |
| Grok 4.20 | 7 | 2 | 4 | 0 | 13 |
| Mistral Small | 7 | 1 | 4 | 0 | 12 |
| DeepSeek V4 Flash | 6 | 7 | 2 | 1 | 16 |
| Llama 4 Maverick | 3 | 2 | 8 | 0 | 13 |
| Qwen 3.7 Flash | 7 | 2 | 1 | 0 | 10 |
| Kimi K2 | 6 | 5 | 1 | 1 | 13 |
| GLM 4.7 FlashX | 5 | 2 | 2 | 2 | 11 |
| MiniMax M2.5 | 5 | 5 | 1 | 0 | 11 |
| GPT-6 Luna | 5 | 2 | 1 | 0 | 8 |
| Muse Glimmer 30B | 5 | 5 | 1 | 0 | 11 |
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
Direct114 labels57
Paraphrase76 labels46
Comparative87 labels10not counted in share
Budget-constrained42 labels12
Scale-constrained39 labels15
Negative30 labels6not counted in share
First choiceAlternativeMentionNegative388 labels in all, every segment counted; 130 of the 146 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.
“1. StackAdapt – Best for Programmatic & Multi-Channel Reach ... Designed specifically for advertisers who need programmatic sophistication without enterprise-level complexity or costs.” Qwen 3.7 Flash · Video ads · direct prompt · first choice
“This programmatic advertising platform is highly regarded for mid-market advertisers, offering strong video capabilities and a user-friendly interface.” Mistral Small · Video ads · direct prompt · first choice
“the best retail media advertising platform is usually StackAdapt if your priority is self-serve ease, mid-market fit, and B2B-friendly workflows” Perplexity Sonar · Retail media · direct prompt · first choice
“StackAdapt is frequently used by mid-market teams that want programmatic reach without the operational complexity of enterprise DSPs” Claude Haiku 4.5 · Retail media · direct 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.
“"A DSP pretending to be ABM"... Not a true ABM platform” GLM 4.7 FlashX · ABM · negative prompt · hard negative
“Good self-serve option too, but it's generally positioned more as an advanced multichannel DSP with custom usage-based pricing rather than an obviously low-entry-budget tool.” GPT-5.4 mini · Programmatic · budget prompt · soft negative
“often considered by smaller teams, but I'd want to verify your exact use case before recommending it over The Trade Desk or Demandbase” GPT-5.4 mini · Programmatic · direct prompt · soft negative
“strong for smaller agencies, but the budget guidance in the results suggests it is better once spend is a bit higher” Perplexity Sonar · Programmatic · budget prompt · soft negative
Named alongside
The products named in the same answers as StackAdapt, over the 388 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and StackAdapt was named but was not.ShowHide
Named alongside
The products named in the same answers as StackAdapt, over the 388 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and StackAdapt 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 StackAdapt. 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 376 of the 388 answers that named StackAdapt and are not a share of its labels.
Domains cited
madgicx.com149
demandbase.com135
heysid.com128
aidigital.com119
improvado.io119
pipeline.zoominfo.com116
guideflow.com114
g2.com110
stackadapt.comYour site101
vibe.co83
1,073 of the 1,174 domain citations in answers naming StackAdapt came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where StackAdapt stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where StackAdapt stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimatesPosition for “programmatic advertising platform”
3
Position for “best programmatic advertising platform”
–
not in the top ten
- Searches for its name, Google
- 8,100 a month (“stackadapt”)
- AI search demand for its name, est.
- 167 a month
- Organic visits to its site
- about 26,512 a month
- Searches its site ranks for
- 4,144 · 394 in the top three
- Sites linking to it
- 6,236
- Paid Google search
- 2 searches its ads show for, about 577 clicks and $18,665 a month (estimate)
In answers
This editionShare of first choices
48%
rank 1 of 92 in programmatic
First choices
130
across its categories
- Named in
- 388 answers
- Its own site cited
- in 376 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 stackadapt.com
1,982
subdomains included
Content
1,661
counted in the table below
Documentation
0
Product · Integration
3 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 725 | 3 | 2026-08-14 | Video ads, CDP | |
| Blog | 551 | 7 | 2026-09-21 | Video ads, CRM | |
| Case study | 146 | 5 | 2026-09-01 | ABM | |
| Webinar or virtual event | 128 | 3 | 2026-09-16 | ABM | |
| Podcast or video | 82 | 0 | 2026-05-20 | ||
| Conference or event | 14 | 6 | 2026-11-12 | ||
| Comparison | 9 | 0 | 2026-03-30 | ||
| Template or tool | 4 | undated | |||
| News or press | 2 | 0 | 2025-06-18 |
Most recent
- 2026-11-12Stackadapt connect london 2026 conference or event
- 2026-10-19Stackadapt connect dallas 2026 conference or event
- 2026-09-30B2bnow barcelona 2026 conference or event
- 2026-09-30Asia pacific innovation forum 2026 conference or event
- 2026-09-30Emea innovation forum 2026 conference or event
- 2026-09-29Innovation forum 2026 conference or event
Events in person
Upcoming
- November 12, 2026StackAdapt Connect London, UKThe Nobel Rooms at the Conduit, London, UK · hosts
Last twelve months
- October 19, 2026StackAdapt Connect DallasHotel Drover · hosted
As the event pages on stackadapt.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page stackadapt.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 StackAdapt
What the judge wrote, as written, with how often. The vendor table decides that these count as StackAdapt; a claim can dispute any of them.
Stackadapt 1
Follow StackAdapt
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
StackAdapt is its own company.ShowHide
The company
StackAdapt is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI Advertising Platform; StackAdapt is the AI advertising platform that helps marketers orchestrate audiences, creative, channels, and measurement from one platform with AI built into every stage of advertising.
- For
- marketers
- Price stated
- there are no hidden tech fees stackadapt.com/plans-and-packages
- Customers named
- SentinelOneHyatt Hotels CorporationSanofiPopeyes UKHong Kong Tourism BoardDigital WillowHyatt Asia PacificLas Vegas Sphere
- Not stated on the pages read
- Starting price, free plan or trial, integrations, certifications, hosting
What StackAdapt's own pages state, read September 28, 2026: stackadapt.com, stackadapt.com/plans-and-packages, stackadapt.com/platform, stackadapt.com/case-studies. 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 StackAdapt'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 StackAdapt, 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 StackAdapt by email, built from the raw record of the edition. It shows:
- where StackAdapt 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 StackAdapt, 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.
Badges
Wins only: a badge exists where StackAdapt is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where StackAdapt is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideProgrammatic and display advertising
AI models recommend StackAdapt first in Programmatic and display advertising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Native and content advertising
AI models recommend StackAdapt first in Native and content advertising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Video advertising
AI models recommend StackAdapt first in Video advertising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Audio and podcast advertising
StackAdapt is among the products AI models recommend first in Audio and podcast advertising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.