Tidio's own calculator says $565/month. Same volume on ConnectXeo: $29.
Today I learned something interesting while researching competitors.
I wasn't trying to create a comparison article.
I was simply trying to understand what it would cost a growing Shopify store to run AI-powered customer support.
So I opened Tidio's pricing calculator.
I entered what I consider fairly normal numbers for a Shopify store doing roughly $200K–$500K/month:
• 800 support conversations/month
• 500 AI conversations/month
• 50,000 visitors
The result surprised me.
Tidio's calculator estimated $565/month.
That number wasn't from my spreadsheet.
It wasn't from ChatGPT.
It came directly from their pricing calculator.
Then I compared the same workload against ConnectXeo.
Our Grow plan is $29/month.
That raised an important question:
Why is the difference so large?
After digging deeper, I realized the answer wasn't necessarily that one company is "better."
The pricing models are fundamentally different.
Tidio charges across multiple systems:
• Live chat
• AI agent
• Flows/automation
As usage increases, costs increase across multiple layers.
ConnectXeo takes a different approach.
Merchants bring their own AI provider (OpenAI, Claude, Groq, or Ollama), and we focus on the infrastructure around it:
• Shopify integration
• Agent orchestration
• Knowledge base
• Deployment
• Analytics
• Multi-channel support
That separation lets us keep platform pricing predictable.
The most interesting takeaway wasn't the $565 number.
It was realizing how quickly support software costs can compound as a store grows.
If you're building for e-commerce, I'd recommend running the numbers on your own stack.
You might be surprised where the real costs are hiding.
Has anyone else done a deep pricing breakdown of the tools they use every day?
I'd love to see what you found.
This is a useful breakdown, but I’d be careful with the main lesson.
The strongest angle may not be “Tidio is expensive and ConnectXeo is cheaper.” That can accidentally pull you into a price-comparison fight.
The more important decision is whether you want merchants to see ConnectXeo as a cheaper support tool, or as predictable AI-support infrastructure for stores that are starting to outgrow usage-based support costs.
I would not solve that positioning loosely in the thread because it changes the homepage, pricing story, and which Shopify merchants you should target first.
If you’re open to it, share your email and I’ll put the tighter pricing-positioning angle together properly.
That's a great point, and I agree that positioning is the more important discussion here.
ConnectXeo isn't being built as just another customer support tool. Customer support is simply the first use case.
Our long-term vision is to build AI operators for Shopify stores that can handle a wide range of operational workflows, including product recommendations, order management, customer support, analytics, inventory-related tasks, and other store operations.
The pricing comparison highlighted a problem we noticed with usage-based support platforms, but the bigger opportunity is helping merchants automate operational work across their entire store, not just support conversations.
I'm definitely open to discussing the positioning further. I'd love to hear your thoughts on how you'd frame it.
Exactly, that broader vision is the important part.
But that also makes the positioning decision more sensitive. If you lead with “AI operators for Shopify,” the promise gets bigger, but the first merchant pain has to be much sharper or it can start feeling too broad.
I wouldn’t try to frame that fully in the thread because the wrong first angle can make ConnectXeo sound like a feature bundle instead of a serious store-ops layer.
Send me your email and I’ll put the tighter positioning path together properly.
Sure, why not? You can get the email address from my profile b/c we can't share email directly in chat.
Genuine question
I've been researching ConnectXeo and the BYOK approach is interesting.
Why would a Shopify merchant choose a BYOK solution over a platform that bundles the AI costs into a single subscription?
Is the main advantage lower costs at scale, or are there other benefits I'm missing?
The BYOK (Bring Your Own Key) approach is typically for developers who want to use their own LLM API keys and credentials, manage model costs themselves, and pay only for the deployment and infrastructure layer.
However, many users prefer a fully managed platform. For those users, ConnectXeo can manage the entire AI stack, including model access, infrastructure, deployment, and operational maintenance, so they can focus on running their business instead of managing AI systems.