| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Compensation benchmarking data | Compensation and total rewards | 19% | 1 of 148 | 4% | 27 | accepted challenger | =heldSince September 2026: 20% → 20%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Compensation management | Compensation and total rewards | 18% | 1 of 140 | 6% | 34 | accepted challenger | =heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Pay equity | Compensation and total rewards | 5% | 8 of 73 | 19% | 16 | accepted challenger | ▼−3Since September 2026: 10% → 7%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Flexible benefits and lifestyle spending accounts | Compensation and total rewards | 0% | 45 of 90 | 0% | 1 | under 10 labels · led by Compt at 40% | newNew since September 2026: not ranked then, 0% now. |
| HRIS and HCM platforms | Core HR and payroll | 0% | 44 of 66 | 0% | 1 | under 10 labels · led by Rippling at 26% | newNew since September 2026: not ranked then, 0% now. |
| Internal talent marketplace | Performance and talent management | 0% | 47 of 102 | 0% | 1 | under 10 labels · led by Fuel50 at 47% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Pay equity | 10% | 7% | ▼−3Since September 2026: 10% → 7%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 8 of 73 |
| Compensation management | 18% | 18% | =heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 140, unchanged |
| Compensation benchmarkin | 20% | 20% | =heldSince September 2026: 20% → 20%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 1 of 148 |
| Flexible benefits | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 45 of 90, unchanged |
| HRIS and HCM platforms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 44 of 66, unchanged |
| Internal talent marketpl | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 47 of 102, 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 | 1 | 2 | 1 | 0 | 4 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 9 | 1 | 1 | 0 | 11 |
| Perplexity Sonar | 2 | 1 | 1 | 0 | 4 |
| Grok 4.1 Fast | 2 | 2 | 0 | 2 | 6 |
| Mistral Small | 1 | 2 | 0 | 2 | 5 |
| DeepSeek V4 Flash | 4 | 3 | 2 | 1 | 10 |
| Llama 4 Maverick | 1 | 1 | 1 | 0 | 3 |
| Qwen 3.7 Flash | 2 | 4 | 0 | 0 | 6 |
| Kimi K2 | 3 | 5 | 1 | 0 | 9 |
| GLM 4.7 FlashX | 2 | 4 | 1 | 0 | 7 |
| MiniMax M2.5 | 0 | 4 | 1 | 0 | 5 |
| GPT-6 Luna | 2 | 2 | 0 | 0 | 4 |
| Muse Glimmer 30B | 0 | 3 | 1 | 1 | 5 |
Verbatim evidence the judge attached to positive labels.
“Pave (Best for Modern B2B & Tech Companies) ... Mid-market companies find the sweet spot in platforms like CaptivateIQ (for sales) and Pave or HiBob” Gemini 3.5 Flash · Compensation management · direct prompt · first choice
“If you need real-time tech benchmarking and want to heavily recruit with transparent visual equity breakdowns, Pave is a frontrunner.” Gemini 3.5 Flash · Compensation management · comparative prompt · first choice
“Pave is the most practical choice for many early-stage companies because it is explicitly called out as a free benchmarking option” Perplexity Sonar · Compensation benchmarkin · budget prompt · first choice
“Best for: real-time market pricing + modern comp planning ... Best for modern comp teams wanting speed and analytics: Pave” GPT-5.4 mini · Compensation management · comparative 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.
“smaller/low-cost options like Barley, Deel basic tiers, Pave, or Equity.com basic... "avoid for scale"” Grok 4.1 Fast · Pay equity · negative prompt · hard negative
“"Examples to Avoid: Pave, Barley, Equity.com (basic tiers)."” Muse Glimmer 30B · Pay equity · negative prompt · hard negative
“well-known platforms (e.g., Pave, Equity.com) may have basic tiers that are not suitable for comprehensive pay equity analysis” Mistral Small · Pay equity · negative prompt · soft negative
“These are generally considered "comp-only" tools and are better suited for companies with fewer than 1,000 employees.” Mistral Small · Compensation management · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 213 of the 219 answers that named Pave and are not a share of its labels.
746 of the 810 domain citations in answers naming Pave 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 |
|---|---|---|---|---|---|
| Blog | 384 | 9 | 2026-09-23 | Compensation management, Pay equity | |
| Case study | 22 | 0 | 2026-06-22 | ||
| Glossary or explainer | 17 | 0 | 2026-05-22 | Pay equity | |
| Comparison | 12 | 0 | 2026-06-10 | Pay equity | |
| Webinar or virtual event | 4 | 0 | 2025-05-16 | ||
| Conference or event | 1 | 1 | 2026-09-11 | ||
| Report or ebook | 1 | 0 | 2022-03-23 | ||
| Podcast or video | 1 | 0 | 2022-10-25 | ||
| News or press | 1 | undated |
As the event pages on pave.com state them, read September 28, 2026.
Every page pave.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 Pave's own pages state, read September 28, 2026: pave.com, pave.com/pricing, trust.pave.com, pave.com/products/api, pave.com/customers. 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 Pave'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 Pave, 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 Pave by email, built from the raw record of the edition. It shows:
AI models recommend Pave first in Compensation benchmarking data 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.
AI models recommend Pave first in Compensation management 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.