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 23 → 66 of 71
Foundry ABM
22Judge labels
0First choices
10Negative labels
10 / 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.
Best standing
0% in ABM for small business buyers
Rank 70 of 71 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 50% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business62 of 74
0%10 labels
criticized challenger
Mid-market70 of 71
0%6 labels
under the label threshold
Enterprise44 of 46
0%5 labels
under the label threshold
In abm · 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 Foundry ABM 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 |
|---|---|---|---|---|---|---|---|
| Account-based marketing platforms | Marketing | 0% | 70 of 71 | 50% | 6 | 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. |
Movement
Since September 2026, Foundry ABM held within the floor in its one category: no change cleared 11 points.
Best category · ABM · 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 21 → 63 of 64
Enterprise=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 19 → 42 of 44
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| 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 21 → 70 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 Foundry ABM 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 Foundry ABM 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 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 | 1 | 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
Direct2 labelsNone
Paraphrase2 labelsNone
Comparative1 labelNone
Budget-constrained1 labelNone
Scale-constrained4 labelsNone
Negative12 labelsNone
First choiceAlternativeMentionNegative22 labels in all, every segment counted; 0 of the 0 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.
No positive label carried a quote.
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.
“It is no longer sold as a standalone, agile platform. Post-acquisition, users have noted a drop-off in customer support” Gemini 3.5 Flash · ABM · negative prompt · hard negative
“session timeouts after inactivity and slow campaign launches, with integrations that sometimes stop working unexpectedly” Claude Haiku 4.5 · ABM · negative prompt · soft negative
“generally liked for analytics, but review snippets still show some learning-curve/interface complaints” GPT-5.4 mini · ABM · negative prompt · soft negative
Named alongside
The products named in the same answers as Foundry ABM, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Foundry ABM was named but was not.ShowHide
Named alongside
The products named in the same answers as Foundry ABM, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Foundry ABM 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 Foundry ABM. 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 20 of the 22 answers that named Foundry ABM and are not a share of its labels.
Domains cited
abmatic.ai13
pipeline.zoominfo.com9
g2.com8
devopsschool.com6
prospeo.io6
warmly.ai6
adtools.org5
blog.hubspot.com5
metadata.io5
tomba.io5
No domain is on file for Foundry ABM, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Foundry ABM stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Foundry ABM stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 20 a month (“foundry abm”)
- AI search demand for its name, est.
- 0 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 70 of 71 in ABM
Segment leader
53%
AdRoll ABM
- First choices
- 0 across its categories
- Named in
- 22 answers
- Its own site cited
- No site on file to match
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.
Names read as Foundry ABM
What the judge wrote, as written, with how often. The vendor table decides that these count as Foundry ABM; a claim can dispute any of them.
Triblio 2Madison Logic / Foundry ABM 1Terminus/Triblio 1Triblio/Foundry ABM 1
Follow Foundry ABM
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.
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 Foundry ABM'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 Foundry ABM, 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 Foundry ABM by email, built from the raw record of the edition. It shows:
- where Foundry ABM 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 Foundry ABM, 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.