CCW Vegas

Join us in Las Vegas, June 22–25 for live AI demos, roundtables & 1:1s

Book a 1:1

Table of contents

Reading progress

Summarize this content with AI:

ChatGPTPerplexityGemini

TL;DR

  • Select according to need: Zendesk works for scaling teams, Re: Amaze for Shopify sellers, and Thunai for enterprise voice and AI resolution.
  • Be aware of the cost implications: Ticket-per, seat-per, and resolution-per models will have different implications depending on the volume.
  • There is no migration needed for AI: Solutions such as Thunai can be overlaid over an existing helpdesk and automate support with human escalation.
  • Compare total value: Consider resolution, voice, integrations, reporting, multi-brand support, and real costs before switching.

Is Gorgias becoming harder to scale as your support volume grows? Ticket price hikes, lack of voice functionality, multi-step queries, and high AI expenses may make it hard to keep the process of customer support effective.

When handling different brands or during peak times, a helpdesk should be more sophisticated than just a ticket management system.

Based on Salesforce, 30% of the customer service cases were solved by the use of AI, whereas the service teams set an ambitious goal of reaching 50% in 2027.

Here are 11 Gorgias alternatives that work for you, considering factors such as price, AI resolutions, voice agents, capabilities, integration, scalability, and time to value.

The Short Answer

I work in an AI business whose clients include contact centers. For a living, I study pricing pages.

Whenever my support department asks me to tell them something about competitors to Gorgias, I reply in the same way I would answer my own people. Go for the right solution, not the most vocal homepage.

Here is the short version.

Category Pick Why
Best overall helpdesk Zendesk Deep routing, huge app store, built for large teams
Best for Shopify-only Re: Amaze Flat per-agent price, multi-store inbox
Best for enterprise voice Thunai Built for high call volume across many brands
Best multi-brand CRM Kustomer One timeline per customer, not one ticket per email
Best AI resolution Fin by Intercom You pay per solved ticket, nothing else
Best value at scale Freshdesk Wide feature set, low starting price
Best free tier Help Scout Real free plan for up to five people
Best overall helpdesk
Pick
Zendesk
Why
Deep routing, huge app store, built for large teams
Best for Shopify-only
Pick
Re: Amaze
Why
Flat per-agent price, multi-store inbox
Best for enterprise voice
Pick
Thunai
Why
Built for high call volume across many brands
Best multi-brand CRM
Pick
Kustomer
Why
One timeline per customer, not one ticket per email
Best AI resolution
Pick
Fin by Intercom
Why
You pay per solved ticket, nothing else
Best value at scale
Pick
Freshdesk
Why
Wide feature set, low starting price
Best free tier
Pick
Help Scout
Why
Real free plan for up to five people

Why teams look for a Gorgias alternative

Most teams do not leave Gorgias because they hate it. They leave because the bill grows fastest at the worst possible time.

Gorgias charges by the conversation, not by the seat. A store selling ten times its normal volume on Black Friday pays ten times its normal support bill that same week, right when cash is already tight. 

The pressure is not only on support costs. 85% of CX leaders say customers will leave a brand after an unresolved issue on the first contact. 

This makes AI resolution and effective escalation important when evaluating a Gorgias alternative. 

Previous prices: There are three common complaints about the AI when reading the review:

  • The AI handles simple questions well but stumbles on anything with more than one step.
  • Performance is monitored in terms of activity rather than efficiency, making it difficult to calculate cost per resolved inquiry.
  • Running several brands or storefronts inside one account gets clunky fast.
  • Voice support exists, but it is thin next to tools built for phone-first teams.
Teams look for Gorgias

The pricing model problem, explained properly

Every Gorgias pricing alternative on the market bills you one of three ways.

Model How it works Fits best Watch out for
Per-ticket You pay for every conversation Small stores, steady volume Bill spikes during sales
Per-seat Flat fee per human agent, each month Growing teams, stable headcount Paying for empty seats
Per-resolution You pay only when AI closes a ticket Teams pushing heavy automation Vendors can blur "deflected" with "resolved"
Per-ticket
How it works
You pay for every conversation
Fits best
Small stores, steady volume
Watch out for
Bill spikes during sales
Per-seat
How it works
Flat fee per human agent, each month
Fits best
Growing teams, stable headcount
Watch out for
Paying for empty seats
Per-resolution
How it works
You pay only when AI closes a ticket
Fits best
Teams pushing heavy automation
Watch out for
Vendors can blur "deflected" with "resolved"

None of these models is wrong. They reward different behavior. Pick the one that matches how your volume moves.

How we evaluated these Alternatives

I judged every tool on the same seven things: pricing predictability, true resolution versus soft deflection, voice and omnichannel strength, Shopify and back-office integration depth, multi-brand handling, reporting quality, and time to value after signing up.

The 11 best Gorgias alternatives

Zendesk - best for scaling multi-department support

Zendesk is the old guard of customer support software, and it still earns that spot. It handles email, chat, voice, and social in one workspace, built for teams that need strict access controls.

Features:

  • Unified communication from email, live chat, phone, and social media into one workspace.
  • Has fine-grained permissions and enterprise access control systems for intricate companies.
  • Includes flexible routing rules and robust reporting analytics.

Pros:

  • Houses the largest app marketplace in the category alongside enterprise-grade routing and reporting tools.

Cons:

  • Requires significant time, technical resources, and effort to properly configure and deploy.

Fin by Intercom - best for AI resolution economics

Fin is Intercom’s dedicated AI support agent designed to resolve customer inquiries autonomously. Rather than merely assisting human agents, it independently handles and closes support tickets end-to-end.

Features:

  • Resolves customer issues independently across more than 50 languages.
  • Operates with a chat-first architecture built for modern digital brands.
  • Automates repetitive tier-one support inquiries without human intervention.

Pros:

  • Delivers predictable high-volume automation without complex or hidden operational tiers.

Cons:

  • Voice capabilities are limited, and it lacks built-in order-editing tools required by retail helpdesks.

Kustomer - best for relationship-centric support

Kustomer drops the ticket queue. Every agent sees one continuous timeline per customer, across every brand and channel.

Features:

  • Consolidates all customer interactions into one continuous timeline per user.
  • Supports complex, multi-brand environments within a single dashboard.
  • Eliminates traditional ticket queues to streamline agent workflows across channels.

Pros:

  • The continuous interaction timeline prevents agents from asking customers the same question twice.

Cons:

  • High seat minimum requirements push the barrier to entry beyond the reach of smaller teams.

Gladly - best for people-centered, high-touch brands

Gladly shares Kustomer's timeline approach but leans harder into voice.

Features:

  • Combines voice, chat, and email into one unified customer conversation view.
  • Emphasizes voice channel capabilities alongside digital chat for high-touch service.
  • Eliminates per-channel messaging friction across customer touchpoints.

Pros:

  • Delivers an exceptionally strong, human-centered phone and chat experience for premium lifestyle brands.

Cons:

  • Targeted strictly at enterprise organizations with high minimum contract requirements.

Freshdesk - best for budget-conscious growing teams

Freshdesk is a classic ticketing tool that scales cleanly from a small inbox to a full omnichannel setup.

Features:

  • Scales cleanly from simple email ticketing up to a multi-channel support hub.
  • Upgrades from Omni that enable live chat, SMS, and WhatsApp to be integrated into the dashboard.
  • Offering simple ticket management workflows.

Pros:

  • Easy to onboard and predictable for mid-market organizations that are growing their channels.

Cons:

  • Advanced AI capabilities require add-on modules, and unused AI session packs expire monthly.

Help Scout - best for simplicity and fast onboarding

Help Scout is a polished shared inbox. It skips the clutter that builds up in older helpdesks.

Features:

  • Operates as a clean shared inbox optimized for personal, human-toned email support.
  • Includes built-in self-service knowledge base tools for customer self-service.
  • Offers straightforward setup processes designed to get small teams up and running quickly.

Pros:

  • Extremely quick to learn and deploy, providing a calm alternative to bloated helpdesks.

Cons:

  • Lacks deep e-commerce API integrations and does not support a native voice channel.

Re: amaze - best for lightweight multi-store ecommerce

Re: amaze, now owned by GoDaddy, brings email, chat, social, and SMS into one dashboard for merchants running several stores.

Features:

  • Emails, live chat, and SMS are all in one inbox.
  • It has built-in integration for e-commerce platforms, including Shopify, WooCommerce, and BigCommerce.
  • It has native functions like SMS and Voice over Internet Protocol (VoIP).

Pros:

  • Offers a powerful multi-store inbox that effectively supports growing multi-brand merchants.

Cons:

  • Reporting features are thin, and order-editing depth is shallower than specialized e-commerce tools.

Tidio - best for chat-first small stores

Tidio pairs a light ticketing system with aggressive live chat and chatbot tools built to catch website visitors before they leave.

Features:

  • Utilizes live chat with triggers to engage visitors.
  • Has a tool for building chatbots where you can create workflows without programming.
  • Features a basic ticketing system for managing customer questions.

Pros:

  • Sets up extremely fast, helping small online store operators capture sales directly through live chat.

Cons:

  • Chatbots struggle with complex nuances, and the system cannot handle multi-team routing logic.

Zoho Desk - best inside an existing Zoho stack

Zoho Desk is a flexible ticketing tool built to plug into the wider Zoho suite.

Features:

  • Plugs natively into the wider Zoho software suite, including CRM, Inventory, and Books.
  • Supports custom API-driven workflows and tailored ticket management rules.
  • Provides flexible channel management across email, chat, and phone.

Pros:

  • Extremely practical and cost-effective for organizations already running their operations on Zoho.

Cons:

  • Features a dated user interface and requires significant manual setup when used standalone with Shopify.

Thunai - best for adding agentic voice and AI resolution over an existing stack

Thunai sits over your current helpdesk or call center optimization and handles voice, chat, and email resolution with agentic AI, plus automated QA on top. 

Features:

  • Deploys agentic AI to automatically resolve complex phone, chat, and email inquiries.
  • Sits directly on top of legacy contact center insights without requiring a complete rebuild.
  • Includes automated Quality Assurance (QA) to monitor interaction standards continuously.

Pros:

  • Handles complex multi-step voice workflows that traditional chat-focused bots cannot manage.

Cons:

  • Excessive and overly complex for small businesses looking for a simple single-store inbox.

Crescendo and Decagon - best for outcome-priced AI CX

Crescendo and Decagon work more like a managed service than software. They own the AI workflow and the human fallback, closer to a BPO than a SaaS tool.

Features:

  • Delivers a fully managed customer support service combining AI automation and human agents.
  • Takes full ownership of building, maintaining, and executing automated support workflows.
  • Provides complete operational coverage without requiring internal software management.

Pros:

  • Ensures you never pay for unused software licenses or idle agent seats.

Cons:

  • Requires giving up direct technical control over your support stack, making future migration difficult.

Full comparison table

Platform Pricing model AI: resolution or deflection Voice Time to value
Gorgias Per-ticket + AI fee Resolution (metered) Add-on Days
Zendesk Per-seat + AI add-on Resolution Native/API Weeks-months
Fin (Intercom) Seat + per outcome Pure resolution Limited Weeks
Kustomer Per-seat, 8 min Deflection/assist Integration Months
Gladly Per-seat, enterprise Resolution Deep native Months
Freshdesk Per-seat Assist Native add-on Days-weeks
Help Scout Per-seat, free tier Deflection/assist Integration Hours-days
Re: amaze Per-seat Deflection/assist Native Days
Tidio Freemium Deflection None Hours
Zoho Desk Per-seat Deflection Integration Weeks
Thunai Custom Pure resolution Enterprise AI Weeks
Crescendo Outcome-based Managed resolution Native Weeks
Gorgias
Pricing model
Per-ticket + AI fee
AI: resolution or deflection
Resolution (metered)
Voice
Add-on
Time to value
Days
Zendesk
Pricing model
Per-seat + AI add-on
AI: resolution or deflection
Resolution
Voice
Native/API
Time to value
Weeks-months
Fin (Intercom)
Pricing model
Seat + per outcome
AI: resolution or deflection
Pure resolution
Voice
Limited
Time to value
Weeks
Kustomer
Pricing model
Per-seat, 8 min
AI: resolution or deflection
Deflection/assist
Voice
Integration
Time to value
Months
Gladly
Pricing model
Per-seat, enterprise
AI: resolution or deflection
Resolution
Voice
Deep native
Time to value
Months
Freshdesk
Pricing model
Per-seat
AI: resolution or deflection
Assist
Voice
Native add-on
Time to value
Days-weeks
Help Scout
Pricing model
Per-seat, free tier
AI: resolution or deflection
Deflection/assist
Voice
Integration
Time to value
Hours-days
Re: amaze
Pricing model
Per-seat
AI: resolution or deflection
Deflection/assist
Voice
Native
Time to value
Days
Tidio
Pricing model
Freemium
AI: resolution or deflection
Deflection
Voice
None
Time to value
Hours
Zoho Desk
Pricing model
Per-seat
AI: resolution or deflection
Deflection
Voice
Integration
Time to value
Weeks
Thunai
Pricing model
Custom
AI: resolution or deflection
Pure resolution
Voice
Enterprise AI
Time to value
Weeks
Crescendo
Pricing model
Outcome-based
AI: resolution or deflection
Managed resolution
Voice
Native
Time to value
Weeks

Two paths: replace the helpdesk, or add an AI layer

Most teams searching for AI customer service for ecommerce assume they must tear out their whole stack. They do not.

A full Gorgias replacement means exporting years of ticket history, retraining agents, and rebuilding every automation rule from zero. 

That path makes sense only when the core system actually blocks the business. It is slow, it takes months, and it is hard to undo.

Adding an AI layer, the way Fin or Thunai work, sits on top of what you already run. The AI catches routine questions and resolves them, then hands anything complex to a human.

Intercom report shows that only 10% of support teams have reached mature AI deployment, where AI is fully integrated into their support operations and working at scale. 

No agent retraining. Value shows up in weeks, and you can turn it off without breaking anything underneath.

The Two paths

How to compare quotes on cost per resolution

A $25-per-seat helpdesk looks cheaper than a $1.50-per-resolution AI agent, until you run the real numbers. 

Comparing cost per resolution support properly means adding seat cost, ticket overage fees, AI fees, and the time your team spends maintaining automation.

Here is a worked example at 10,000 monthly tickets, with AI resolving 4,000 of them.

Category Vendor A: ticket volume + AI fee Vendor B: seat + outcome AI
Base cost $900 for 5,000 tickets $750 for 10 seats at $75
Overage fees $1,800 (5,000 tickets at $0.36) $0, unlimited tickets
AI fees $4,000 (4,000 at $1.00) $3,960 (4,000 at $0.99)
Total $6,700 $4,710
Cost per ticket $0.67 $0.47
Base cost
Vendor A: ticket volume + AI fee
$900 for 5,000 tickets
Vendor B: seat + outcome AI
$750 for 10 seats at $75
Overage fees
Vendor A: ticket volume + AI fee
$1,800 (5,000 tickets at $0.36)
Vendor B: seat + outcome AI
$0, unlimited tickets
AI fees
Vendor A: ticket volume + AI fee
$4,000 (4,000 at $1.00)
Vendor B: seat + outcome AI
$3,960 (4,000 at $0.99)
Total
Vendor A: ticket volume + AI fee
$6,700
Vendor B: seat + outcome AI
$4,710
Cost per ticket
Vendor A: ticket volume + AI fee
$0.67
Vendor B: seat + outcome AI
$0.47

Vendor A looks more integrated on the sales call. Vendor B still comes out 30% cheaper per ticket at this volume. Run your own numbers before signing.

When you should stay on Gorgias

No other source writing on this topic says it so openly. But here is the thing, if you are using Gorgias, have just one Shopify store, the volume of tickets remains constant throughout the year, and the agents mostly spend their time editing orders and making refunds in the chat window.

If you do not require any phone support at all and never use more than one brand, then Gorgias will always remain the best helpdesk for Shopify. Switching would only add friction you do not need.

Migration checklist

If you do decide to move, plan around these steps:

Step What it takes
Export ticket history Gorgias caps API calls at 40 requests per 20 seconds, so pace your export scripts
Rebuild macros Audit old templates, drop the unused ones, rebuild the rest natively
Match your SLAs Recreate first-response and next-reply targets before you go live
Clean up tags Export the tag list, merge duplicates, build a clean hierarchy
Re-authenticate integrations Reconnect Shopify, shipping tools, and marketing webhooks
Run in parallel Route 10% of live traffic to the new tool for five days and set clear rollback rules
Export ticket history
What it takes
Gorgias caps API calls at 40 requests per 20 seconds, so pace your export scripts
Rebuild macros
What it takes
Audit old templates, drop the unused ones, rebuild the rest natively
Match your SLAs
What it takes
Recreate first-response and next-reply targets before you go live
Clean up tags
What it takes
Export the tag list, merge duplicates, build a clean hierarchy
Re-authenticate integrations
What it takes
Reconnect Shopify, shipping tools, and marketing webhooks
Run in parallel
What it takes
Route 10% of live traffic to the new tool for five days and set clear rollback rules

Choose in five minutes

Your situation Go with
High volume, voice-heavy, several brands Thunai, layered over your current stack
Managing dozens of brands, need one customer view Kustomer
Main goal is cheap, reliable AI resolution Fin by Intercom
Small team, tight budget, multiple stores Re: amaze
New store, zero software budget Help Scout
High volume, voice-heavy, several brands
Go with
Thunai, layered over your current stack
Managing dozens of brands, need one customer view
Go with
Kustomer
Main goal is cheap, reliable AI resolution
Go with
Fin by Intercom
Small team, tight budget, multiple stores
Go with
Re: amaze
New store, zero software budget
Go with
Help Scout

Ready to scale customer support with AI? Book a demo to see how Thunai can automate resolutions across voice, chat, and email. 

FAQs on Gorgias Alternatives

Why do ecommerce teams switch from Gorgias? 

Mostly the pricing. Ticket-volume billing rises fastest during peak sales, right when support teams are stretched thin. The AI also struggles with multi-step issues, reports track activity over results, multiple brands get harder to manage, and voice support stays thin.

What is the best Gorgias alternative? 

No single winner exists. Re: Amaze fits Shopify-only simplicity. Fin wins on AI pricing. Kustomer fits multi-brand CRM needs. Thunai fits enterprise contact centre and multi-brand support layered over an existing system.

Is there a cheaper alternative to Gorgias? 

It depends on the pricing model, not the sticker price. Gorgias starts cheap, but overage fees ($0.36 to $0.40 per ticket) and AI fees ($0.90 to $1.50) add up fast at scale. Compare per-seat and per-resolution tools at your real volume before deciding.

Do I have to migrate off my helpdesk to add AI? 

No. An AI layer on top of your current helpdesk catches routine tickets and resolves them, then routes anything complex to your team.

Is Gorgias still worth it in 2026? 

Yes, for the right team: one Shopify store, steady ticket volume, no need for voice, and a small support staff. Add a second brand, real call volume, or seasonal spikes that trigger overage fees, and it stops being the efficient choice.

Aditya Santhanam is a technology entrepreneur and the Co-Founder & CTPO of Thunai AI, Entrans Technologies, and Infisign. A former AWS product leader, he specializes in building advanced agentic AI systems and decentralized cybersecurity architectures.

Let AI Handle the Busywork.

Try Thunai yourself with a 16-day free trial

Get Started for Free
Get Started