| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Pay equity | Compensation and total rewards | 4% | 10 of 73 | 17% | 12 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Compensation management | Compensation and total rewards | 2% | 15 of 140 | 0% | 8 | under 10 labels · led by Pave at 18% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Workforce planning | Workforce planning and analytics | 0% | 61 of 98 | 0% | 1 | under 10 labels · led by ChartHop at 37% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Compensation management | 6% | 2% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 15 of 140 |
| Pay equity | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 10 of 73, unchanged |
| Workforce planning | 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 33 → 61 of 98 |
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 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 2 | 0 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 1 | 2 | 0 | 3 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 1 | 0 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 2 | 1 | 3 |
Verbatim evidence the judge attached to positive labels.
“I would pick Aeqium for compensation review workflow flexibility, or Ravio if your highest priority is market benchmarking and salary banding” Perplexity Sonar · Compensation management · paraphrase prompt · first choice
“I'd choose Aeqium for the best balance of analysis depth, reporting traceability, and fit for mid-market HR analytics teams” Perplexity Sonar · Pay equity · direct prompt · first choice
“Aeqium being a top choice for its comprehensive features” Mistral Small · Pay equity · direct prompt · first choice
“Aeqium excels at customization and workflow flexibility” Kimi K2 · 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.
“Tools requiring heavy analyst intervention (e.g., certain configurations of Aeqium, Figures)” DeepSeek V4 Flash · Pay equity · negative prompt · soft negative
“are quote-only and do not publish prices” Muse Glimmer 30B · Pay equity · budget 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 42 of the 42 answers that named Aeqium and are not a share of its labels.
202 of the 202 domain citations in answers naming Aeqium 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 | 75 | undated | Compensation management, Pay equity | ||
| Case study | 15 | undated | |||
| Glossary or explainer | 5 | undated | Compensation management | ||
| Comparison | 4 | undated | |||
| Template or tool | 1 | undated |
Every page aeqium.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. 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 Aeqium's own pages state, read September 28, 2026: aeqium.com, aeqium.com/plans, aeqium.com/legal/security, aeqium.com/product/employee-portal, aeqium.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 Aeqium'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 Aeqium, 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 Aeqium by email, built from the raw record of the edition. It shows: