| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Earned wage access | Compensation and total rewards | 9% | 3 of 54 | 21% | 58 | accepted challenger | ▲+3Since September 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Financial wellness platforms | Compensation and total rewards | 0% | 21 of 117 | 21% | 14 | accepted challenger |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Earned wage access | 7% | 10% | ▲+3Since September 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 3 of 54 |
| Financial wellness | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 21 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 1 | 3 |
| GPT-5.4 mini | 2 | 4 | 0 | 0 | 6 |
| Gemini 3.5 Flash | 2 | 1 | 0 | 1 | 4 |
| Perplexity Sonar | 1 | 0 | 1 | 0 | 2 |
| Grok 4.1 Fast | 1 | 2 | 1 | 4 | 8 |
| Mistral Small | 2 | 0 | 3 | 0 | 5 |
| DeepSeek V4 Flash | 2 | 1 | 2 | 2 | 7 |
| Llama 4 Maverick | 0 | 1 | 3 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 3 | 1 | 2 | 7 |
| Kimi K2 | 2 | 3 | 0 | 2 | 7 |
| GLM 4.7 FlashX | 1 | 2 | 1 | 1 | 5 |
| MiniMax M2.5 | 1 | 1 | 1 | 1 | 4 |
| GPT-6 Luna | 0 | 3 | 1 | 1 | 5 |
| Muse Glimmer 30B | 2 | 2 | 1 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“Real-time access up to full earned pay; deep payroll integrations (ADP, UKG)... High adoption (1,200+ employers, millions of users). | Large enterprises needing scale & engagement.” Grok 4.1 Fast · Earned wage access · comparative prompt · first choice
“DailyPay is the strongest overall pick for large enterprises already running ADP, Workday, or UKG. It has the deepest payroll integration bench of any provider on the list.” Muse Glimmer 30B · Earned wage access · comparative prompt · first choice
“If your employer offers a reputable, integrated EWA program (such as DailyPay or Payactiv), it is generally safer than direct-to-consumer apps” Gemini 3.5 Flash · Earned wage access · negative prompt · first choice
“stick with employer‑integrated options (e.g., DailyPay, Payactiv, Branch Core) that tend to be more transparent and cheaper” MiniMax M2.5 · Earned wage access · negative prompt · first choice
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.
“The New York Attorney General has sued DailyPay, alleging the "on-demand pay" product functions as an illegal loan with high fees.” DeepSeek V4 Flash · Earned wage access · negative prompt · hard negative
“DailyPay is a named defendant in an active New York Attorney General lawsuit over alleged illegal lending.” Claude Haiku 4.5 · Earned wage access · negative prompt · hard negative
“High fee extraction: New York Attorney General found DailyPay extracts over $300/year on average” Kimi K2 · Financial wellness · negative prompt · hard negative
“Sued by NY AG in 2025 for allegedly operating as an illegal payday lender” Grok 4.1 Fast · Earned wage access · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 205 of the 209 answers that named DailyPay and are not a share of its labels.
682 of the 779 domain citations in answers naming DailyPay came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| News or press | 532 | 7 | 2026-09-17 | Earned wage access | |
| Blog | 210 | 4 | 2026-08-19 | Earned wage access | |
| Podcast or video | 117 | 0 | 2025-11-18 | Earned wage access | |
| Webinar or virtual event | 90 | 2 | 2026-07-07 | Earned wage access | |
| Case study | 49 | 0 | 2026-06-12 | Earned wage access | |
| Conference or event | 36 | 0 | 2026-05-20 | ||
| Glossary or explainer | 15 | 1 | 2026-08-14 | Earned wage access | |
| Report or ebook | 14 | undated | Earned wage access | ||
| Comparison | 9 | 1 | 2026-07-23 | Earned wage access | |
| Template or tool | 6 | 0 | 2026-01-22 | Employee onboarding |
Every page dailypay.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.
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.
What DailyPay's own pages state, read September 28, 2026: dailypay.com, trust.dailypay.com, dailypay.com/platform, dailypay.com/resource-center/case-studies, dailypay.com/marketplace. A claimed page can correct any of them.
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 DailyPay'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 DailyPay, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for DailyPay by email, built from the raw record of the edition. It shows:
DailyPay is among the products AI models recommend first in Earned wage access 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.
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.