# HubSpot Breeze Intelligence vs Lusha: which do AI models recommend for enrichment, October 2026

GTM AI Recommendation Index, October 2026 Edition, Data enrichment. One of fourteen models named HubSpot Breeze Intelligence first on the direct prompt; zero named Lusha. Page: https://gtm-ai-index.com/gtm-data/data-enrichment/hubspot-breeze-intelligence-vs-lusha/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| HubSpot Breeze Intelligence | 4% | #4 of 12 | 19% | 52 | 14 of 14 |
| Lusha | 2% | #6 of 12 | 16% | 45 | 14 of 14 |

## The direct prompt, model by model

- MiniMax M2.5: hubspot breeze intelligence first (first choices: Apollo.io, HubSpot Breeze Intelligence) (alternatives: ZoomInfo)
- GPT-5.4 mini: neither first, one named (first choices: Apollo.io) (alternatives: Lusha, ZoomInfo)
- Gemini 3.5 Flash: neither first, one named (first choices: Clay) (alternatives: Apollo.io, Cognism, HubSpot Breeze Intelligence, ZoomInfo)
- Mistral Small: neither first, one named (first choices: ZoomInfo) (alternatives: Clay, HubSpot Breeze Intelligence, UpLead)
- DeepSeek V4 Flash: neither first, one named (first choices: Apollo.io) (alternatives: Cleanlist, Cognism, HubSpot Breeze Intelligence, Lusha)
- Llama 4 Maverick: neither first, one named (first choices: Apollo.io) (alternatives: HubSpot Breeze Intelligence, UpLead)
- Qwen 3.7 Flash: neither first, one named (first choices: UpLead) (alternatives: Apollo.io, HubSpot Breeze Intelligence)
- Kimi K2: neither first, one named (first choices: Apollo.io) (alternatives: Clay, HubSpot Breeze Intelligence)
- GLM 4.7 FlashX: neither first, one named (first choices: Apollo.io) (alternatives: Clay, Cognism, HubSpot Breeze Intelligence)
- GPT-6 Luna: neither first, one named (first choices: Apollo.io) (alternatives: Clay, Cognism, HubSpot Breeze Intelligence)
- Claude Haiku 4.5: neither named (first choices: Apollo.io) (alternatives: Cleanlist, Cognism, ZoomInfo)
- Perplexity Sonar: neither named (first choices: Apollo.io) (alternatives: Cognism, UpLead)
- Grok 4.1 Fast: neither named (first choices: Apollo.io) (alternatives: Cognism, UpLead)
- Muse Glimmer 30B: neither named (first choices: Apollo.io) (alternatives: Cognism, HubSpot Sales Hub)

## What the models said about HubSpot Breeze Intelligence

- "Users report a loss of functionality and flexibility, making it less reliable for those who previously relied on Clearbit's standalone features." (Mistral Small, negative prompt, hard negative)
- "Reduced functionality: Some features are no longer available or are locked behind HubSpot's ecosystem." (Mistral Small, negative prompt, hard negative)
- "HubSpot says Breeze does not provide contact email addresses or phone numbers—so it isn’t a replacement for a contact-finding database" (GPT-6 Luna, comparative prompt, soft negative)
- "If I had to pick one default recommendation for a mid-sized B2B company, it would be Clearbit/Breeze Intelligence" (GPT-5.4 mini, paraphrase prompt, first choice)

## What the models said about Lusha

- "Low email accuracy: Independent checks suggest only about 68% email return at roughly 82% accuracy, which is below industry standards." (Mistral Small, negative prompt, hard negative)
- "Tools that have faced regulatory actions (e.g., Lusha's Italy fine) should be avoided in sensitive jurisdictions." (GLM 4.7 FlashX, negative prompt, hard negative)
- "Some users report issues with outdated contact information and relatively high pricing for infrequent use." (Claude Haiku 4.5, negative prompt, soft negative)
- "Safer bets from reviews: Tools like Lusha (98% email accuracy, free tier)" (Grok 4.1 Fast, negative prompt, first choice)
- "Apollo.io or Lusha are the right entry points. Both offer free tiers" (Claude Haiku 4.5, 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.