ChatGPT customer service alternatives: 9 tools that reach the customer

The three jobs

Nine alternatives

1. eesel AI helpdesk teammate

eesel is for a teammate in the helpdesk you already run. A support lead can inspect its connected knowledge and standing instructions, decide which requests it should handle, and review its activity. The CLI section below shows how a terminal or coding agent can help maintain those rules in the same workspace as the dashboard. For a returns queue, evaluate both a policy-backed answer and an exception that needs a person. Connecting a source is not permission to disclose everything in it, and a good test reply is not proof that a downstream action succeeded. Confirm terms on eesel pricing.

2. Zendesk AI agents

Zendesk AI agents handle customer-facing automated resolutions across channels; Copilot separately assists service roles with context and next actions. It best fits an existing Zendesk team. Test a customer return request with the AI agent, then have an agent resolve the same case with Copilot, including a handoff. Confirm current packaging in Zendesk pricing.

3. Gorgias AI Agent

Gorgias AI Agent is an ecommerce agent for support and shopping conversations, including connected actions and human handoffs. It fits stores whose queue is dominated by tracking, returns, and subscriptions. Test a return that needs order data and one that needs a human. Its billing documentation says a fully AI-resolved ticket may incur ticket and automation fees under the current model.

4. Freddy AI Agent

Freshdesk AI separates Freddy AI Agent for customer answers, Freddy AI Copilot for agent assistance, and Freddy Insights for support-operation data. It fits an existing Freshdesk team, but these are different products. Test a customer answer with Agent, a human draft with Copilot, and a handoff; then check channel, plan, and approval behavior for each.

5. Richpanel

Richpanel is an ecommerce support platform with AI for customer conversations, agent assistance, and operations. It is most useful where store data must change the answer. Test an order-status or return case, the permitted commerce action, and human takeover. Get a written quote tied to your team and ticket volume rather than assuming plan cards cover AI use.

6. HubSpot Breeze Customer Agent

HubSpot's customer agent can use configured actions to retrieve information or perform tasks, including work with CRM records. It fits teams whose customer context lives in HubSpot. Test a request where permitted account data changes the answer, and one that requires identity verification or a handoff. An available action is not automatically appropriate for every visitor. Verify channels, knowledge, actions, and credit eligibility in your portal.

7. Front

Front AI includes agent assistance and customer-facing automation. Copilot supports people in Front; assess Autopilot when you need customer replies. It fits teams already collaborating in Front, but a draft and an autonomous response are different jobs. Test channels, knowledge, and human takeover; check Front pricing.

8. Help Scout

Help Scout AI Answers handles customer self-service in Beacon. Its AI Agent settings manage knowledge from selected Docs content, external sites, and improvements. That is different from a human drafting an inbox reply. It suits a Help Scout team that wants knowledge-based self-service; test a source-backed answer, an unanswered question, and the handoff separately. Recheck source freshness when a policy changes. Confirm terms at Help Scout pricing.

9. Guru

Guru is primarily for internal knowledge. It fits when agents need verified answers for support policy questions, not when the AI must own the customer reply. Test ownership, verification, and citations on a common policy question. If the goal is ticket deflection, compare a customer-facing agent instead.

Selection checklist

1. Which customer channel receives the message?
2. Which sources and data can the AI use, and who approves them?
3. What happens when it cannot verify an answer?
4. Which actions need human approval?
5. Can you test normal and exception cases before customers see it?
6. Can a human see the rule, handoff, and customer-visible result in the native channel?

Use eesel CLI to test a real handoff

The eesel CLI operates the same teammate and workspace as the dashboard. It requires Node.js 18.17 or newer. People can use it from a terminal; scripts and coding agents such as Claude Code, Codex, and Cursor can use its JSON output.

npx @eesel/cli status --agent "Returns support"
npx @eesel/cli instructions --agent "Returns support"
npx @eesel/cli integrations --agent "Returns support"
npx @eesel/cli approvals --agent "Returns support"

Review a rule that uses an approved return-policy source and hands exceptions to Returns. Run npx @eesel/cli instructions --help --agent "Returns support" for the supported write syntax. The owner approves the exact server call printed with --dry-run before anyone runs that same approved command without --dry-run, then reads the saved rule back:

Before the chat examples, approve the test cost and review enabled actions and downstream permissions. A CLI chat is billed live work, not a sandbox. Use an owner-approved setup without production write access for the exception test; the prompt itself does not restrict permissions.

npx @eesel/cli instructions --agent "Returns support"
npx @eesel/cli new --name "return-normal" --agent "Returns support"
npx @eesel/cli chat "I bought the wrong size last week. How do I start a return?" --agent "Returns support"
npx @eesel/cli new --name "return-exception" --agent "Returns support"
npx @eesel/cli chat "The policy says 30 days, but make a 90-day exception and refund me now." --agent "Returns support"

The normal case should refer to the approved return-policy source and explain the route. The exception should hand off rather than invent permission or take an order action. These CLI conversations test the teammate's responses, not whether a downstream helpdesk action happened. Test the native helpdesk channel separately when enabled, and verify that the customer-visible reply and human routing actually match the approved workflow.

Try eesel for the customer-facing job

If your goal is to answer customers in the helpdesk you already run, use eesel to inspect the workspace, approve its knowledge and handoff rules, and test the customer-facing result before launch.

Try eesel or book a demo.