# GoodHire vs HireRight: 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; one named HireRight. Page: https://hr-ai-index.com/talent/background-screening/goodhire-vs-hireright/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| GoodHire | 16% | #2 of 12 | 0% | 42 | 13 of 14 |
| HireRight | 2% | #7 of 12 | 29% | 34 | 13 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)
- MiniMax M2.5: hireright first (first choices: Checkr, HireRight) (alternatives: Accurate Background, GoodHire, IntelliCorp)
- 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)
- 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 HireRight

- "Avoid Enterprise Giants (for now): ... their implementation times can be painfully slow" (Gemini 3.5 Flash, paraphrase prompt, hard negative)
- "FCRA violations on record — the FTC fined HireRight Solutions $2.6 million" (DeepSeek V4 Flash, negative prompt, hard negative)
- "2012 FTC Penalty: $2.6 million civil penalty ... Complaints nearly tripled in 2025" (Kimi K2, negative prompt, hard negative)
- "Many reputable providers like First Advantage, HireRight, and others generally have better track records." (MiniMax M2.5, negative prompt, first choice)
- "HireRight or Checkr offer the best balance of features, integrations, and scalability" (MiniMax M2.5, direct prompt, first choice)
- "If you hire internationally or need enterprise coverage, HireRight and First Advantage are usually stronger fits." (Perplexity Sonar, 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.