How do their growth rates compare?

Hiver has a month-over-month growth rate of -28.4%; Stylo has +31.8%.

How does pricing compare?

Hiver: Freemium, Free Trial, Paid, Free. Hiver offers a free tier plus paid plans and a free trial, with pricing typically based on users. Exact plan names and prices are listed on its pricing page. Stylo: Free Trial, Paid. Free plan for the Help Center Scorecard. Paid plans are billed per agent: Basic $15/agent/month ($12.75 yearly), Growth $20 ($17 yearly), Professional $25 ($21.25 yearly). AI usage is metered on top via response credits ($0.35 pay-as-you-go or $0.20 prepaid per response), call summarization and character-based translation. Enterprise pricing is available for teams outside the Zendesk ecosystem.

What are alternatives to Hiver and Stylo?

Other tools in related categories include tawk.to, Intercom, Intercom, Respond.io, Chaport.

Hiver vs Stylo — Traffic (140.33K vs 3.38K), Pricing & Verdict

Open AI Tools

Hiver vs Stylo — Traffic (140.33K vs 3.38K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Hiver	Stylo
Official Domain	hiverhq.com	askstylo.com
Pricing Model	Freemium, Free Trial, Paid, Free	Free Trial, Paid
Monthly Visits	140.33K (140,328)	3.38K (3,381)
MoM Traffic Delta	-55.69K (-28.4%)	+816 (+31.8%)
Primary Market & Share	🇺🇸 United States (51.4%)	🇺🇸 United States (62.6%)
Direct Visits / mo	94.58K	1.34K
User Rating	4.3	4.3
Supported Platforms	Website	Website

Hiver

Agentic customer service platform where teams and AI resolve support together

Unified omnichannel ticketing

Handle email, chat, Slack, Teams, voice, WhatsApp and a help center from one workspace, with shared inboxes for teams that stay in Gmail.

Assist Agent

AI investigates issues across past conversations, docs, connected systems and codebases, then drafts contextual replies and takes action with approval.

Frontline Agent with Skills

Define how AI resolves complex multi-step requests, deploy across every channel, and test performance on real scenarios before going live.

Self-healing knowledge

AI reviews resolved tickets to spot gaps in the help center and turn proven resolutions into new articles, keeping documentation current.