| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Talent intelligence | Performance and talent management | 10% | 3 of 90 | 15% | 27 | accepted challenger | ▲+1Since September 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruiting CRM and sourcing | Talent acquisition | 8% | 4 of 111 | 7% | 27 | accepted challenger | ▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| AI recruiting assistants | Talent acquisition | 0% | 16 of 90 | 6% | 18 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruitment marketing and career sites | Talent acquisition | 0% | 80 of 104 | 33% | 3 | under 10 labels · led by Teamtailor at 23% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| HR AI assistants | Onboarding and employee experience | 0% | 127 of 142 | 100% | 1 | under 10 labels · led by MeBeBot at 21% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Recruiting CRM | 5% | 9% | ▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 → 4 of 111 |
| Talent intelligence | 8% | 9% | ▲+1Since September 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 3 of 90 |
| AI recruiting assistants | 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 19 → 16 of 90 |
| Recruitment marketing | 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 80 of 104, unchanged |
| HR AI assistants | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 127 of 142, 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 | 4 | 0 | 0 | 4 |
| GPT-5.4 mini | 0 | 2 | 0 | 1 | 3 |
| Gemini 3.5 Flash | 0 | 5 | 1 | 2 | 8 |
| Perplexity Sonar | 1 | 2 | 2 | 0 | 5 |
| Grok 4.1 Fast | 4 | 2 | 2 | 1 | 9 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 3 | 0 | 6 |
| Llama 4 Maverick | 0 | 1 | 4 | 0 | 5 |
| Qwen 3.7 Flash | 0 | 3 | 1 | 2 | 6 |
| Kimi K2 | 1 | 1 | 3 | 2 | 7 |
| GLM 4.7 FlashX | 1 | 2 | 1 | 0 | 4 |
| MiniMax M2.5 | 2 | 1 | 2 | 0 | 5 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 5 | 1 | 1 | 8 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend starting with hireEZ or Metaview due to their balance of functionality, mid-market pricing, and B2B relevance” MiniMax M2.5 · Talent intelligence · direct prompt · first choice
“HireEZ is the most frequently recommended talent intelligence / sourcing platform for that segment in 2026 buyer guides.” Muse Glimmer 30B · Talent intelligence · direct prompt · first choice
“Top tools for your size (per 2026 reviews): HireEZ (AI/multi-source), SeekOut (diversity), Gem (ATS-native).” Grok 4.1 Fast · Recruiting CRM · scale prompt · first choice
“the strongest overall candidate sourcing tool is HireEZ if your priority is *dedicated sourcing*” Perplexity Sonar · Recruiting CRM · 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.
“Platforms to Avoid on a Tight Budget: HireEZ - Starts at $494/month” Kimi K2 · Talent intelligence · budget prompt · hard negative
“HireEZ has faced severe backlash regarding privacy and data hygiene.” Qwen 3.7 Flash · Talent intelligence · negative prompt · hard negative
“In recruiting/talent sourcing tools (e.g., LinkedIn Recruiter, HireEZ, SeekOut): Be cautious of platforms with outdated/stale data” Grok 4.1 Fast · Recruiting CRM · negative prompt · soft negative
“the pattern of complaints is why many teams audit consent, data residency and opt-out workflows before using hireEZ for sourcing” Muse Glimmer 30B · Recruitment marketing · 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 185 of the 191 answers that named hireEZ and are not a share of its labels.
625 of the 625 domain citations in answers naming hireEZ 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 | 174 | 3 | 2026-07-09 | ||
| Case study | 31 | 0 | 2023-09-26 | ||
| News or press | 17 | 0 | 2025-11-11 | ||
| Comparison | 15 | undated | |||
| Webinar or virtual event | 7 | undated | |||
| Template or tool | 7 | undated | |||
| Conference or event | 5 | undated | |||
| Glossary or explainer | 3 | 0 | 2022-02-08 | ||
| Report or ebook | 2 | undated | |||
| Podcast or video | 2 | undated |
As the event pages on hireez.com state them, read September 28, 2026.
Every page hireez.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 hireEZ's own pages state, read September 28, 2026: hireez.com, hireez.com/pricing, hireez.com/platform, hireez.com/case-studies, hireez.com/partners. 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 hireEZ'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 hireEZ, 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 hireEZ by email, built from the raw record of the edition. It shows:
hireEZ is among the products AI models recommend first in Talent intelligence 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.