| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Recognition and rewards | Onboarding and employee experience | 22% | 2 of 98 | 4% | 45 | accepted challenger | ▲+4Since September 2026: 22% → 26%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Employee wellbeing and mental health | Onboarding and employee experience | 0% | 21 of 111 | 0% | 5 | under 10 labels · led by Wellable at 22% | newNew since September 2026: not ranked then, 0% now. |
| Employee engagement surveys | Onboarding and employee experience | 0% | 50 of 58 | 0% | 1 | under 10 labels · led by Culture Amp at 37% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Recognition and rewards | 22% | 26% | ▲+4Since September 2026: 22% → 26%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 of 98, unchanged |
| Employee wellbeing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 21 of 111, unchanged |
| Employee engagement surv | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 50 of 58, 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 | 3 | 0 | 0 | 3 |
| GPT-5.4 mini | 0 | 3 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 1 | 2 | 1 | 1 | 5 |
| Perplexity Sonar | 1 | 0 | 3 | 0 | 4 |
| Grok 4.1 Fast | 0 | 2 | 4 | 1 | 7 |
| Mistral Small | 1 | 0 | 3 | 0 | 4 |
| DeepSeek V4 Flash | 2 | 2 | 2 | 0 | 6 |
| Llama 4 Maverick | 1 | 0 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 2 | 2 | 1 | 0 | 5 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 0 | 2 |
| MiniMax M2.5 | 2 | 1 | 1 | 0 | 4 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 0 | 3 | 1 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“Nectar - offers a range of features, including automated shoutouts, rewards, and milestone tracking, with pricing starting at $2-$5/user/month.” Llama 4 Maverick · Recognition and rewards · budget prompt · first choice
“1. Nectar: *Best All-Rounder for the Mid-Market* Nectar is specifically designed to hit the sweet spot for mid-sized organizations.” Gemini 3.5 Flash · Recognition and rewards · paraphrase prompt · first choice
“Nectar stands out as the best overall choice due to its comprehensive features, scalability, and strong integrations” Mistral Small · Recognition and rewards · direct prompt · first choice
“Nectar is widely considered the best all-around fit for mid-market B2B companies.” Qwen 3.7 Flash · Recognition and rewards · direct 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.
“~$5–$6/user/month, good for points + Amazon rewards, but pricier starters.” Grok 4.1 Fast · Recognition and rewards · budget prompt · soft negative
“you find major players like Bonusly or Nectar too expensive” Gemini 3.5 Flash · Recognition and rewards · 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 137 of the 138 answers that named Nectar and are not a share of its labels.
538 of the 577 domain citations in answers naming Nectar 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 |
|---|---|---|---|---|---|
| Glossary or explainer | 283 | undated | Pay equity, Workforce planning | ||
| Blog | 235 | undated | Recognition and rewards, Pay equity | ||
| Template or tool | 18 | undated | |||
| Case study | 10 | undated | |||
| Report or ebook | 9 | undated | |||
| Comparison | 8 | undated | |||
| Webinar or virtual event | 4 | undated | |||
| Conference or event | 1 | undated | |||
| Podcast or video | 1 | undated | |||
| News or press | 1 | undated |
Every page nectarhr.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 Nectar's own pages state, read September 28, 2026: nectarhr.com, trust.nectarhr.com, nectarhr.com/solutions/retail, nectarhr.com/resources/case-studies. 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 Nectar'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 Nectar, 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 Nectar by email, built from the raw record of the edition. It shows:
Nectar is among the products AI models recommend first in Recognition and rewards 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.