Small businessgoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked
Sweep
3Judge labels
1First choices
0Negative labels
3 / 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.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Sweep was named 3 times in CRM data quality and 1 other category, where Insycle led with 43%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market10 of 99
2%2 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In crm data quality · 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 Sweep 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 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 2% | 10 of 99 | 0% | 2 | under 10 labels · led by Insycle at 43% | newNew since September 2026: not ranked then, 2% now. |
| AI marketing agents | Marketing | 0% | 118 of 157 | 0% | 1 | under 10 labels · led by HubSpot Breeze at 24% |
Movement
Since September 2026, Sweep held within the floor in all two categories: no change cleared 11 points.
Best category · CRM data quality · by segment
Mid-marketnewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 9 of 90, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 10 of 99, unchanged |
| AI marketing agents | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 118 of 157, 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 Sweep 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 Sweep 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 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| 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
Direct0 labelsNone
Paraphrase1 label1
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative3 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.
“Sweep is more modern and cost-effective” MiniMax M2.5 · CRM data quality · paraphrase prompt · first choice
“Full-stack autonomous campaign management | MarketPilot, OpenAnalyst-tier agents” Qwen 3.7 Flash · AI marketing agents · comparative prompt · alternative
“prefer more agile, visual alternatives like LeanData or Sweep for routing” Gemini 3.5 Flash · CRM data quality · negative 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 Sweep, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sweep was named but was not.ShowHide
Named alongside
The products named in the same answers as Sweep, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sweep 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 Sweep. 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 3 of the 3 answers that named Sweep and are not a share of its labels.
Domains cited
cleanlist.ai2
prospeo.io2
airbyte.com1
ampcome.com1
blog.startupstash.com1
chilipiper.com1
clickup.com1
cognism.com1
crmtdigital.com1
datagroomr.com1
No domain is on file for Sweep, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Sweep stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Sweep stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 33,100 a month (“sweep”)
- AI search demand for its name, est.
- 41,121 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
2%
rank 10 of 99 in CRM data quality
Segment leader
43%
Insycle
- First choices
- 1 across its categories
- Named in
- 3 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 Sweep
What the judge wrote, as written, with how often. The vendor table decides that these count as Sweep; a claim can dispute any of them.
Sweep / MarketPilot 1
Follow Sweep
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 Sweep'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 Sweep, 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 Sweep by email, built from the raw record of the edition. It shows:
- where Sweep 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 Sweep, 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.