An Intercom alternative that answers the phone too
Intercom is excellent at in-app messaging and has invested heavily in AI resolution. The clearest difference is scope: Gimiq treats phone calls as a first-class channel with the same AI agent and knowledge base behind them, and prices AI usage on resolutions rather than per seat and per feature tier.
- Phone calls handled by the same AI and knowledge base
- Resolution-based AI pricing, not per-seat feature tiers
- Email, WhatsApp, SMS and social in the same queue
What separates them
Both are modern, both automate well. The divergence is in channel coverage and how AI usage is accounted for.
Voice as a first-class channel
Inbound and outbound phone calls run through the same AI agent, knowledge base and reporting as chat — not a bolted-on telephony integration.
One knowledge source
The help centre that serves your customers is the exact store that grounds chat, email and voice answers. There is no separate training step.
Resolution-based accounting
A resolution counts only when the AI closes a conversation and the customer doesn't reopen it within 24 hours. Escalated conversations are never billed as resolutions.
Full omnichannel ticketing
Email, WhatsApp, SMS, Slack and social land in the same queue against the same customer record as in-app chat.
Actions with hard guardrails
Refund ceilings, permitted tool calls, blocked topics and confidence floors are explicit configuration, and every action is audit-logged.
Sales agent included
Lead qualification, meeting booking and CRM sync run on the same platform rather than as a separate product line.
Approach by approach
Two modern platforms with genuinely different centres of gravity.
| Approach | Gimiq | Intercom |
|---|---|---|
| Primary channel focus | Omnichannel from the start — chat, email, messaging and phone all treated as equal citizens. | Messaging-first, with particularly strong in-app and product-led engagement patterns. |
| Voice and phone support | AI call agent included, with warm transfer, transcription and summaries written back to the ticket. | Voice capability is a more recent and separate part of the product rather than the original focus. |
| AI pricing model | Per-resolution accounting with escalations excluded, on top of a per-agent seat price. | Seat pricing plus per-resolution AI charges, with capability spread across plan tiers. |
| In-app engagement | In-app widget with user, plan and screen context; support-focused rather than lifecycle marketing. | Very strong product tours, onboarding flows and lifecycle messaging alongside support. |
| Knowledge management | One store powers the public help centre, internal runbooks and all AI grounding, with a gap report. | Help centre and AI sources are well integrated, with its own content and article tooling. |
| Best suited to | Support teams that need phone coverage alongside chat, with predictable AI cost accounting. | Product-led companies whose centre of gravity is in-app messaging, onboarding and lifecycle engagement. |
Comparisons describe each product's general approach based on publicly available documentation and are reviewed periodically. Vendors change their products and pricing frequently — check the current details with each vendor before making a decision.
When Intercom is the better choice
If your problem is shaped like theirs, they'll serve you better. Worth being straight about that.
- In-app product tours, onboarding checklists and lifecycle messaging are core to your growth motion
- You need marketing automation and support in the same tool and value that integration highly
- Phone support isn't part of your model and you don't expect it to be
- Your team is already deep in their ecosystem with custom apps built on it
- You want the specific engagement and outbound messaging features they've refined over years
Moving from Intercom
Conversations, contacts and help centre articles all import. The widget swap is the only customer-visible moment.
Import conversations and contacts
Conversation history, contacts, companies, tags and custom attributes come across with their timestamps intact.
Bring the help centre over
Articles import with formatting, images and internal links preserved, and old URLs can be redirected automatically.
Rebuild the AI configuration
Set tone, guardrails, permitted actions and confidence thresholds, then replay historical conversations in a sandbox to check answers.
Swap the widget
Replace the snippet, forward your support mailbox, and add phone once the messaging queue is settled.
See what it looks like with phone in the same queue
Import your conversation history, point the agent at your help centre, and try one channel before committing to the rest.
Switching from Intercom
Still deciding? Talk to our team or browse the full FAQ.
What you'd be moving onto
Helpdesk & Ticketing
Omnichannel ticketing with a shared inbox, SLA policies, automations, collision detection and an AI copilot for every agent.
AI Support Agent
An autonomous AI agent that answers across chat, email and messaging, takes real actions in your systems, and escalates with full context.
AI Call Agent
A natural-sounding AI voice agent for inbound and outbound calls, with warm transfers, live transcription and automatic call summaries.