ChatBees VS Hiver
Compare ChatBees VS Hiver, what is the difference between ChatBees and Hiver?
You may like
Summarize
ChatBees summarize
Chat across your data sources, PDFs/CSVs, Websites, GDrive, Notion, Confluence and more. Best quality, score 4.6 vs OpenAI Assistant 3.4, to 10x Efficient customer support and employee onboarding.
ChatBees Landing Page
Hiver summarize
Hiver Landing Page
Compare Details
ChatBees details
| Categories | AI Customer Service, AI Agent, AI Chatbot, AI Knowledge Graph, AI Copilot, Large Language Models (LLMs) |
| ChatBees Website | https://www.chatbees.ai?utm_source=toolify |
| Added Time | May 11 2024 |
| ChatBees Pricing | -- |
Hiver details
| Categories | AI Customer Service, AI Chatbot |
| Hiver Website | https://hiverhq.com?utm_source=toolify |
| Added Time | June 24 2026 |
| Hiver Pricing | -- |
Comparison of usage
How to use ChatBees?
To use ChatBees, you can build knowledge graphs from your tickets, train a private AI on your knowledge base (PDFs/DOCs, Web Help Center, Notion, Confluence, and Google Drive), and then ChatBees will automatically analyze and research incoming tickets, providing actionable insights directly in your ticket system and copilot the support agent to resolve the ticket quickly and efficiently.
How to use Hiver?
Sorry, there are no data
Compare Pros between ChatBees and Hiver
Core features of ChatBees
- AI Ticket Agent
- AI Chat for Confluence
- Conversational AI Chatbot
- Enterprise Search Engine
- RAG as a Service
- Knowledge Graph Generation
- AI-powered ticket categorization
- Actionable insights for support agents
Core features of Hiver
- AI Agents: Most AI in customer support software handles the requests it has seen before. It leaves untouched the ones that are too specific, too cross-functional, or too dependent on external systems to fit a standard pattern. Hiver AI Agents handle those. They independently resolve complex customer conversations end to end, pulling context from multiple systems, executing multi-step workflows, and making judgment calls based on account-specific information. When a request exceeds what an AI Agent can resolve, it hands off the full context to a human so nothing gets repeated and nothing gets lost.
- AI Autopilot: Before an agent opens a ticket, Autopilot has already done the groundwork. It categorises incoming conversations, detects customer sentiment, triggers the right workflows, and assigns to the right support agent. By the time an agent steps in, the ticket is ready to work.
- AI Copilot: Once an agent is in a conversation, Copilot works alongside them. It surfaces relevant context from past interactions and company knowledge, drafts replies based on the full conversation history, and reviews responses for tone and completeness before they go out. For global teams, it handles translation across languages without breaking the flow.
- AI QA: Most teams review a small sample of conversations and make quality decisions based on incomplete data. AI QA changes that. Every agent response is automatically audited against quality parameters you define such as tone, accuracy, completeness, process adherence. Managers get a consistent, data-driven view of where quality is strong, where it is slipping, and which agents need coaching.
- AI Insights: Support leaders spend a lot of time pulling reports to understand what is happening across their operation. AI Insights does that continuously in the background. It surfaces what customers are asking about most, where sentiment is trending, which workflows are creating bottlenecks, and where knowledge gaps are driving repeat escalations. The result is a live view of the operation that tells you where to focus, without anyone having to go looking for it.
Compare Use Cases
Use cases for ChatBees
- Automating customer support ticket resolution
- Employee onboarding
- Building knowledge graphs from historical tickets
- Integrating support and sales pipelines
- Providing AI chat for Confluence
- Creating conversational AI chatbots
- Implementing enterprise search engines
- Offering RAG as a Service
Use cases for Hiver
- Customer service
- AI email management
- Ticketing
Different Plan between ChatBees and Hiver
ChatBees
Pay-as-you-go + Paid Add-on
Ideal for individual users. Try with $5 Free Credit. Unlimited Collections, Unlimited Characters, Multi Language Search, Neural Reranking, Usage Analytics Retention 14 days, Email Support. Paid Add-on, $25/mo billed annually, or $29/mo: Data Connectors, Website ChatBot with Feedback & Lead, Website ChatBot with Custom Logo, Brand & Message, SlackBot Answers Employees Questions Privately, Auto Periodic Ingestion, Include $20 API Usage, then Pay-as-you-go
$249/mo billed annually, or $269/mo
Auto Generate Answers for your tickets. Try with 14 Day Free Trial. Everything in Flex plan, including add-ons, AI Chat for Confluence App, HubSpot Integration, 200 Tickets per month, One Ticket Pipeline, AI Automatic Reference Resolution, Ticket Copilot, Auto Scan New Tickets, Knowledge Graphs from 3 months Tickets
Contact Us
Minimizes devops and overhead. Talk to Us. Everything in Standard plan, Multiple Ticket Pipelines, Multi-user support, Enterprise Single Sign-On, Role-Based Access Control, Integrate with your workflow, AI Agent Actions, Advanced AI Insight Analytics, Usage Analytics Retention 90 days, Uptime SLA: 99.9%, Premium Support
Hiver
$25 /user/month
Ideal for small teams to deliver effortless, multi-channel support.
$55 /user/month
For teams looking transform their support with advanced features
$85 /user/month
For teams looking transform their support with advanced features
ChatBees's traffic
ChatBees is the one with 2.5K monthly visits and 00:00:00 Avg.visit duration. ChatBees has a Page per visit of 1.10 and a bounce rate of 39.42%.
Visit Over Time
| Monthly Visits | 2.5K |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.10 |
| Bounce Rate | 39.42% |
Hiver's traffic
Hiver is the one with 194.2K monthly visits and 00:03:49 Avg.visit duration. Hiver has a Page per visit of 10.81 and a bounce rate of 39.85%.
Visit Over Time
| Monthly Visits | 194.2K |
| Avg·visit Duration | 00:03:49 |
| Page per Visit | 10.81 |
| Bounce Rate | 39.85% |
Geography
The top 4 countries/regions for ChatBees are:France 45.66%, United States 38.20%, India 11.43%, Germany 4.71%
Top 4 Countries/regions
 | 45.66% |
 | 38.20% |
 | 11.43% |
 | 4.71% |
Geography
The top 5 countries/regions for Hiver are:United States 57.70%, India 4.29%, United Kingdom 2.90%, Mongolia 1.61%, Philippines 1.32%
Top 5 Countries/regions
| 57.70% |
| 4.29% |
 | 2.90% |
 | 1.61% |
 | 1.32% |
Traffic Sources
The 6 main sources of traffic to ChatBees are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Traffic Sources
The 6 main sources of traffic to Hiver are:Direct 68.90%, vs_sourcesSearchOrganic 16.52%, vs_sourcesSocialOrganic 4.64%, Mail 4.45%, Referrals 2.81%, vs_sourcesSearchPaid 0.91%, vs_sourcesDisplayAds 0.84%, vs_sourcesAffiliate 0.68%, vs_sourcesGenAi 0.26%, vs_sourcesSocialPaid 0.00%
Direct | 68.90% |
vs_sourcesSearchOrganic | 16.52% |
vs_sourcesSocialOrganic | 4.64% |
Mail | 4.45% |
Referrals | 2.81% |
vs_sourcesSearchPaid | 0.91% |
vs_sourcesDisplayAds | 0.84% |
vs_sourcesAffiliate | 0.68% |
vs_sourcesGenAi | 0.26% |
vs_sourcesSocialPaid | 0.00% |
Which is better: ChatBees or Hiver?
Hiver might be a bit more popular than ChatBees.As you can see, ChatBees has 2.5K monthly visits, while Hiver has 194.2K monthly visits. So more people choose Hiver. So the odds are that people will recommend Hiver more on social platforms.
ChatBees has an Avg.visit duration of 00:00:00, while Hiver has an Avg.visit duration of 00:03:49. Also, ChatBees has a page per visit of 1.10 and a Bounce Rate of 39.42%. Hiver has a page per visit of 10.81 and a Bounce Rate of 39.85%.
The main users of ChatBees are France, United States, India, Germany, with the following distribution: 45.66%, 38.20%, 11.43%, 4.71%.
The main users of Hiver are United States, India, United Kingdom, Mongolia, Philippines, with the following distribution: 57.70%, 4.29%, 2.90%, 1.61%, 1.32%.
See other comparisons
Featured*
