# GoodHire vs BackgroundChecks.com: which do AI models recommend for background screening, October 2026

HR AI Recommendation Index, October 2026 Edition, Background screening. One of fourteen models named GoodHire first on the direct prompt; zero named BackgroundChecks.com. Page: https://hr-ai-index.com/talent/background-screening/goodhire-vs-backgroundchecks-com/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| GoodHire | 16% | #2 of 12 | 0% | 42 | 13 of 14 |
| BackgroundChecks.com | 11% | #3 of 12 | 10% | 20 | 12 of 14 |

## The direct prompt, model by model

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

## What the models said about GoodHire

- "If you want a platform that automates the complex legal disclosures and adverse action forms to protect you from lawsuits: Go with GoodHire ($29.99)." (Gemini 3.5 Flash, budget prompt, first choice)
- "Best Value for Small Businesses: GoodHire offers affordable background checks for small businesses starting at $29.99." (Claude Haiku 4.5, budget prompt, first choice)
- "Start with GoodHire for the best mix of price transparency and user experience." (Qwen 3.7 Flash, paraphrase prompt, first choice)

## What the models said about BackgroundChecks.com

- "multiple customer reviews label it a "scam," citing canceled accounts after payment without delivering reports" (Grok 4.1 Fast, negative prompt, hard negative)
- "Complaints about randomly locking users out of accounts" (MiniMax M2.5, negative prompt, soft negative)
- "For the tightest budget, BackgroundChecks.com appears to offer the lowest entry point at $24.99 per basic report with no contracts or fees." (MiniMax M2.5, budget prompt, first choice)
- "The best background check provider for a company with a limited budget is BackgroundChecks.com, which offers a pay-as-you-go screening service" (Llama 4 Maverick, budget prompt, first choice)
- "BackgroundChecks.com, Certn, and HireShield are recommended for lighter, pay-as-you-go needs" (Mistral Small, budget prompt, first choice)

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.
