Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 27 → 35 of 37
Brigit
18Judge labels
0First choices
18Negative labels
9 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Brigit was named 9 times in Earned wage access and 1 other category, where Tapcheck led with 38%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business36 of 38
0%3 labels
under the label threshold
Mid-market52 of 54
0%7 labels
under the label threshold
Enterprise52 of 55
0%4 labels
under the label threshold
In earned wage access · 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 Brigit 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 |
|---|---|---|---|---|---|---|---|
| Earned wage access | Compensation and total rewards | 0% | 52 of 54 | 100% | 7 | under 10 labels · led by Tapcheck at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Financial wellness platforms | Compensation and total rewards | 0% | 114 of 117 | 100% | 2 | under 10 labels · led by LearnLux at 24% |
Movement
Since September 2026, Brigit held within the floor in all two categories: no change cleared 13 points.
Best category · Earned wage access · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 58 → 42 of 44
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 33 → 50 of 53
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Earned wage access | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 58 → 52 of 54 |
| Financial wellness | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 114 of 117, 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 13 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 Brigit 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 Brigit 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 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 2 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative18 labelsNone
First choiceAlternativeMentionNegative18 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.
“Avoid "Direct-to-Consumer" Apps ... (which include apps like Dave, Brigit, and Earnin)” GLM 4.7 FlashX · Earned wage access · negative prompt · hard negative
“Previously settled with the FTC for $18 million over deceptive subscription practices” Gemini 3.5 Flash · Earned wage access · negative prompt · hard negative
“In 2023 the FTC lodged a complaint against Brigit alleging deceptive practices” Muse Glimmer 30B · Earned wage access · negative prompt · hard negative
“Named in litigation; courts have found its advances constitute credit” Kimi K2 · Earned wage access · negative prompt · hard negative
Named alongside
The products named in the same answers as Brigit, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Brigit was named but was not.ShowHide
Named alongside
The products named in the same answers as Brigit, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Brigit 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 Brigit. 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 17 of the 18 answers that named Brigit and are not a share of its labels.
Domains cited
g2.com8
congress.gov7
files.consumerfinance.gov7
nclc.org7
consumerfinancemonitor.com6
kansascityfed.org6
responsiblelending.org6
aeaweb.org5
cnbc.com5
ilo.org5
No domain is on file for Brigit, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Brigit stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Brigit stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 60,500 a month (“brigit”)
- AI search demand for its name, est.
- 1,098 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 52 of 54 in earned wage access
Segment leader
38%
Tapcheck
- First choices
- 0 across its categories
- Named in
- 18 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 Brigit
What the judge wrote, as written, with how often. The vendor table decides that these count as Brigit; a claim can dispute any of them.
Brigit (Bridge It, Inc.) 1
Follow Brigit
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 Brigit'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 Brigit, 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 Brigit by email, built from the raw record of the edition. It shows:
- where Brigit 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 Brigit, 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.