| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Background screening | Talent acquisition | 31% | 1 of 83 | 8% | 48 | endorsed leader | ▼−13Since September 2026: 43% → 30%, −13 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| HR compliance and policy management | Core HR and payroll | 0% | 44 of 97 | 0% | 2 | under 10 labels · led by Rippling at 19% | =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 |
|---|---|---|---|---|---|
| Background screening | 43% | 30% | ▼−13Since September 2026: 43% → 30%, −13 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 83, unchanged |
| HR compliance | 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 29 → 44 of 97 |
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 | 0 | 1 | 1 | 3 |
| GPT-5.4 mini | 4 | 0 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 3 | 0 | 0 | 1 | 4 |
| Perplexity Sonar | 2 | 1 | 1 | 0 | 4 |
| Grok 4.1 Fast | 3 | 2 | 0 | 1 | 6 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 0 | 2 |
| Kimi K2 | 3 | 1 | 1 | 0 | 5 |
| GLM 4.7 FlashX | 1 | 2 | 1 | 0 | 4 |
| MiniMax M2.5 | 1 | 2 | 0 | 1 | 4 |
| GPT-6 Luna | 3 | 0 | 1 | 0 | 4 |
| Muse Glimmer 30B | 1 | 0 | 3 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“Market leader for high-volume / tech and gig hiring. "the best background check tools for recruiters in 2026 are Checkr (market leader with 120,000+ customers and AI-powered workflows)"” Muse Glimmer 30B · Background screening · comparative prompt · first choice
“Checkr excels in speed/tech integrations; ... Fast (AI-powered), scalable for high-volume/gig economy, 200+ ATS integrations” Grok 4.1 Fast · Background screening · comparative prompt · first choice
“API-first architecture — one of the most technically advanced platforms... Checkr for its API-first speed and automation” DeepSeek V4 Flash · Background screening · comparative prompt · first choice
“Checkr is an API-first, tech-forward platform designed for speed and automation. It has some of the best integrations” Gemini 3.5 Flash · Background screening · 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.
“Checkr is the most frequently sued background check company” Claude Haiku 4.5 · Background screening · negative prompt · hard negative
“466 complaints in 3 years ... often about delays, errors, or unresolved issues in employment screening” Grok 4.1 Fast · Background screening · negative prompt · soft negative
“Checkr has faced a sharp spike in CFPB complaints and numerous class-action lawsuits” Gemini 3.5 Flash · Background screening · negative prompt · soft negative
“Has received numerous complaints (466 total in the last 3 years per BBB)” MiniMax M2.5 · Background screening · 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 158 of the 164 answers that named Checkr and are not a share of its labels.
454 of the 570 domain citations in answers naming Checkr 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 | 568 | 38 | 2026-09-24 | ||
| Webinar or virtual event | 174 | 1 | 2026-09-01 | ||
| News or press | 128 | 4 | 2026-08-26 | ||
| Case study | 62 | 3 | 2026-08-31 | ||
| Report or ebook | 26 | 3 | 2026-09-11 | ||
| Comparison | 17 | 4 | 2026-09-14 | ||
| Template or tool | 5 | 1 | 2026-07-17 | ||
| Podcast or video | 4 | 1 | 2026-08-28 | ||
| Glossary or explainer | 3 | 1 | 2026-08-05 | ||
| Conference or event | 2 | 1 | 2026-09-11 |
Every page checkr.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 Checkr's own pages state, read September 28, 2026: checkr.com, checkr.com/pricing, trust.checkr.com, checkr.com/platform, checkr.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 Checkr'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 Checkr, 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 Checkr by email, built from the raw record of the edition. It shows:
AI models recommend Checkr first in Background screening 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.