# Verified First vs Sterling: which do AI models recommend for background screening, October 2026

HR AI Recommendation Index, October 2026 Edition, Background screening. One of fourteen models named Verified First first on the direct prompt; one named Sterling. Page: https://hr-ai-index.com/talent/background-screening/verified-first-vs-sterling/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Verified First | 7% | #5 of 12 | 0% | 14 | 10 of 14 |
| Sterling | 2% | #8 of 12 | 32% | 25 | 13 of 14 |

## The direct prompt, model by model

- Muse Glimmer 30B: verified first first (first choices: Bchex, Verified First) (alternatives: Accurate Background, DISA Global Solutions, GoodHire, Mitratech AssureHire, Orange Tree)
- Grok 4.1 Fast: sterling first (first choices: Sterling) (alternatives: Checkr, GoodHire, HireRight)
- Gemini 3.5 Flash: neither first, one named (first choices: Checkr) (alternatives: Accurate Background, Certn, Verified First)
- Mistral Small: neither first, one named (first choices: Mitratech AssureHire) (alternatives: Accurate Background, Sterling)
- Qwen 3.7 Flash: neither first, one named (first choices: GoodHire) (alternatives: Accurate Background, Checkr, CredCheck, Dun & Bradstreet, Sovren, Verified First)
- Claude Haiku 4.5: neither named (first choices: Accurate Background, Checkr) (alternatives: Mitratech AssureHire)
- GPT-5.4 mini: neither named (first choices: Checkr) (alternatives: Atlantic Employee Screening, Certn, Hireology)
- Perplexity Sonar: neither named (first choices: Checkr) (alternatives: Accurate Background, GoodHire, Mitratech AssureHire)
- DeepSeek V4 Flash: neither named (first choices: Accurate Background) (alternatives: Certn, Checkr, GoodHire)
- Llama 4 Maverick: neither named (first choices: Mitratech AssureHire) (alternatives: Accurate Background, BackgroundChecks.com, Certn, GoodHire, HireShield)
- Kimi K2: neither named (first choices: Checkr) (alternatives: Accurate Background, Certn, GoodHire, iprospectcheck)
- GLM 4.7 FlashX: neither named (first choices: Certn, Checkr) (alternatives: Accurate Background, Cisive, GoodHire)
- MiniMax M2.5: neither named (first choices: Checkr, HireRight) (alternatives: Accurate Background, GoodHire, IntelliCorp)
- GPT-6 Luna: neither named (first choices: Checkr) (alternatives: Accurate Background, First Advantage)

## What the models said about Verified First

- "Verified First is the top choice for mid-market and enterprise teams prioritizing integrated efficiency, support, and partnership." (Muse Glimmer 30B, direct prompt, first choice)
- "For mid-market domestic companies (50–2,500 employees), Bchex and Verified First are specifically built for this category" (Claude Haiku 4.5, paraphrase prompt, first choice)
- "I'd recommend Verified First as the top choice for a mid-sized B2B company" (GLM 4.7 FlashX, paraphrase prompt, first choice)

## What the models said about Sterling

- "Trustpilot reviews highlight disorganization, incompetence, extremely slow turnaround times (weeks/months), poor customer support" (GLM 4.7 FlashX, negative prompt, hard negative)
- "$4.75 million FCRA class action settlement for providing outdated information to employers" (DeepSeek V4 Flash, negative prompt, hard negative)
- "Recently sued in 2024 for allegedly falsely reporting criminal history and arrest warrants" (MiniMax M2.5, negative prompt, hard negative)
- "Stick with well-established, accredited providers like Sterling, HireRight, GoodHire, or TransUnion SmartMove" (Mistral Small, negative prompt, first choice)
- "Sterling (now part of First Advantage) \u2013 Strongest fit for mid-market B2B." (Grok 4.1 Fast, direct prompt, first choice)
- "Best for: Large enterprises needing comprehensive health screenings - Limitations: Quote-based pricing" (Kimi K2, comparative prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.