AI Sales Agents for Shopify: Turning Store Traffic into Revenue (Zipchat vs Gorgias)

Introduction

AI Sales Agents for Shopify (Zipchat vs Gorgias)

You work hard to bring people to your store. You spend a lot of money on ads. You spend hours creating social media posts. You optimize your site for search engines. But then something painful happens. Most of those visitors leave without buying a single thing. It feels like pouring water into a bucket with a hole in the bottom.

This is the biggest problem in online retail today. Store owners focus on getting traffic but forget about closing the sale. For a long time we thought the answer was better customer support. We thought that if we answered emails faster we would make more money. That is only half the story. Support waits for a problem to happen. Sales go out and find the opportunity.

We are now seeing a new type of tool that fixes this. We are moving beyond simple chatbots that just answer questions. We are entering the era of AI Sales Agents. These smart tools act like a friendly shop assistant in a physical store. They walk up to a customer who looks confused and ask if they need help. They answer questions instantly. They recommend products. They close the deal.

This report will look deep into two major players in this space. One is Zipchat, a specialized AI sales agent built to drive revenue aggressively. The other is Gorgias, the famous customer support platform that is now adding powerful sales features. We will compare every detail. We will look at the price. We will look at the features. We will see which one puts more money in your pocket.

Key Takeaways

• The Goal Has Changed: You must stop thinking about “ticket deflection” and start thinking about “conversation conversion” because every chat is a chance to sell.¹
• Zipchat is for Sales: This tool is built to be a 24/7 sales representative that installs in minutes and proactively hunts for sales using behavioral triggers.³
• Gorgias is for Management: This platform is the gold standard for organizing support tickets across many channels and uses AI to automate routine tasks while offering sales campaigns as an add-on.¹
• Proactive Chat Wins: The biggest revenue gains come from tools that start the conversation based on what the user is doing like lingering on a product page or scrolling deep into reviews.⁶
• AI is Cheaper than Humans: A human support interaction can cost your business over $6.00 while an automated AI interaction costs only cents which radically improves your margins.²

The Paradigm Shift: From Support to Sales

Why is the Old Way of Customer Support Failing?

Traditional customer support is reactive and often too slow to save a sale. It waits for a customer to have a problem before engaging. By the time a customer asks a question they might already be frustrated or ready to leave. This approach treats customers as tickets to be closed rather than opportunities to be nurtured.⁸

The Problem with Being Reactive

Think about the last time you walked into a busy clothing store. You saw a shirt you liked but you couldn’t find your size. You looked around for help. The staff were all busy behind the counter folding clothes or talking on the phone. You waited for a minute. Then you got annoyed and walked out.

This is what happens on thousands of Shopify stores every day.

Merchants have treated their online stores like vending machines. They put the products on the shelf and hope the customer figures it out. If the customer gets stuck they have to find a “Contact Us” button. They have to write an email. They have to wait 24 hours for a reply.

In the fast world of the internet 24 hours is a lifetime. That customer is gone. They bought from Amazon instead.

For years the main metric for success in ecommerce was “Response Time.” Store owners felt good if they replied in under an hour. But even an hour is too long when a customer is staring at the checkout button with a credit card in hand. The old way focuses on “deflection.” This means trying to stop customers from talking to you so you can save money on support staff.

The Rise of Conversational Commerce

We are seeing a massive shift. The new metric is not response time. It is Conversion Rate.

Store owners are realizing that a conversation is not a cost. It is an investment.

When a customer asks “Does this fit true to size?” they are telling you “I want to buy this.”

If you answer that question instantly and confidently you win the sale.

If you answer it three hours later the moment has passed.

This is where AI comes in. Large Language Models (LLMs) have changed the game. Old chatbots were dumb. They looked for keywords. If you typed “shipping” they pasted a link to the shipping policy. They could not understand nuance. They could not sell.

Modern AI agents act like the best salesperson in your store. They understand context. They can read your entire catalog. They can say “Yes that shirt fits true to size but if you prefer a loose fit you should size up. Also it looks great with these pants.” This is Conversational Commerce. It is the art of selling through chat. It turns a static website into a dynamic experience where the store talks back to the customer.¹⁰

What is an AI Sales Agent?

An AI Sales Agent is a software program that uses advanced artificial intelligence to actively engage website visitors and guide them toward a purchase. Unlike a support bot that waits for questions a sales agent initiates conversations based on user behavior and uses persuasion techniques to close sales.⁶

Beyond the Chat Bubble

You might think this is just a fancy name for a chatbot. It is not. The difference lies in the Goal and the Behavior.

The Goal:

• Support Bot: The goal is to close the ticket. The measure of success is efficiency.
• Sales Agent: The goal is to open the wallet. The measure of success is revenue.

The Behavior:

• Support Bot: It sits in the corner and waits. It is passive.
• Sales Agent: It watches the user. It sees that the user has been reading the reviews for two minutes. It sees that the user added an item to the cart and then went back to the homepage. It acts. It pops up a message saying “I see you are looking at the Runner’s Watch. It has a great battery life. Do you have any questions about the GPS features?”

This is “Agentic” behavior. The software has agency. It makes decisions. Snippet ⁸ highlights that the best AI agents can take actions. They don’t just talk. They can look up an order status. They can check inventory levels in real time. They can generate a discount code on the fly to push a hesitant buyer over the line.

They are connected to the brain of your business. They know your policies. They know your stock levels. They know your brand voice. They work 24 hours a day. They never get tired. They never get grumpy. They treat the 1,000th customer of the day with the same enthusiasm as the first.²

Zipchat AI: The Dedicated Sales Hunter

What Makes Zipchat Different?

Zipchat is built from the ground up as a sales tool rather than a support tool. Its primary differentiation is its ability to scrape your website to train itself instantly and its focus on aggressive proactive engagement triggers that target hesitant buyers to maximize conversion rates.¹

A Focus on Revenue

Zipchat positions itself as an “AI Sales Agent.” This is a crucial distinction. Many apps on the Shopify store call themselves helpdesks. Zipchat calls itself a sales rep.

The user interface and the features are designed to make money.

When you log into Zipchat you do not just see a list of tickets. You see “Sales Generated.” You see “Conversion Rate.” You see the ROI of the bot.

This aligns the tool with your marketing goals rather than your operations goals.

The “Agentic” Capabilities Zipchat uses the term “Agentic Commerce.” This refers to the AI’s ability to perform tasks. It is not just a text generator. It is a worker. For example imagine a customer asks “Where is my order?” A basic bot might just send a link to a tracking page.

Zipchat can connect to the Shopify backend. It can pull the specific order details for that customer. It can say “Your package is currently in Chicago and is estimated to arrive on Tuesday.” It can also create discount codes. If a customer is hesitating on price the AI can be authorized to offer a small discount to close the deal right there in the chat. This mimics what a human manager might do in a store.¹⁴

How Does Zipchat Install and Learn?

Zipchat uses a “scrape-to-learn” technology that allows it to read your entire website including product pages and policies in just a few minutes. This eliminates the need for manual data entry and allows the bot to go live and start selling almost immediately after installation.⁴

The 3-Minute Setup

One of the biggest barriers to adopting AI is the setup time. Store owners are busy. They do not have time to write hundreds of FAQs. They do not have time to build complex decision trees.

Zipchat solves this with scraping.

When you install the app on Shopify it asks for your URL.

It then sends “crawlers” to your site. These crawlers read every page.

• They read your product descriptions to understand what you sell.
• They read your return policy to understand your rules.
• They read your shipping info to know your delivery times.
• They read your “About Us” page to learn your brand story.

In under three minutes the AI has built a “Knowledge Base.” It is ready to answer questions immediately. Snippet ⁴ notes that Zipchat stands out for this “live setup in under 3 minutes.” This is a massive advantage for small teams who need to move fast. You do not need a developer. You do not need an IT guy. You just need your URL.

Continuous Learning The scraping is not a one-time event. The AI continues to learn. If you update a product price on Shopify the AI knows. If you change your shipping policy the AI updates its answers. You can also manually train it. If the AI gives an answer you don’t like you can “correct” it. You can go into the dashboard see the chat history and click “Improve this answer.” You type in what it should have said. The AI adds this to its brain and will not make that mistake again. This feedback loop makes the agent smarter every single day.¹⁴

The Power of Proactive Triggers

Zipchat utilizes behavioral triggers to initiate conversations with visitors who show signs of hesitation. These triggers include time-based prompts, scroll-depth activation, and exit-intent detection which allows the AI to intervene at the critical moment before a customer leaves the site.⁶

Reading the Digital Body Language

In a physical store a good salesperson reads body language. They see you holding a product and looking at the price tag with a frown. They know that is the moment to step in.

Online we do not have body language. But we have “Digital Body Language.”

Zipchat tracks the user’s mouse and behavior to guess their mindset.

Time-Based Triggers:

You can tell Zipchat: “If a user is on a product page for more than 45 seconds pop up.”

Why 45 seconds? Because if they bounce instantly they were not interested. If they stay for 45 seconds they are reading. They are thinking. They are interested but something is stopping them.

The bot pops up: “Hi there! I see you are checking out the Summer Collection. Do you have any questions about the fabric?”

This small nudge can be the difference between a bounce and a sale.

Scroll-Based Triggers:

You can set a trigger for when a user scrolls 50% down the page.

This usually means they are looking for details. They might be looking for reviews or sizing charts.

The bot can appear right then: “Looking for sizing help? I can tell you exactly how this fits based on your measurements.”

Exit Intent: This is the “Hail Mary” pass. The AI watches the mouse cursor. If the cursor moves quickly toward the “X” button to close the tab or toward the back button the AI triggers. “Wait! Before you go do you have any questions I can answer? I might have a special offer for you.” This captures the traffic that was about to be lost forever. Snippet ⁶ describes this scenario perfectly: “The customer feels pleasantly surprised by this proactive approach as it saves them the effort of searching for assistance themselves.”

Pricing and ROI: The Math of Zipchat

Zipchat operates on a tiered subscription model starting at $49/month for 500 replies. The pricing scales based on usage making it accessible for small stores while offering robust plans for larger enterprises. The Return on Investment (ROI) is driven by increasing the conversion rate of existing traffic.³

The Cost Breakdown Let’s look at the specific numbers from Snippet ¹⁴ and.³

• Starter Plan: $49 per month. You get 500 AI replies.
• Growth Plan: $129 per month. You get 1,500 AI replies.
• Pro Plan: $249 per month. You get 3,000 AI replies.
• Scale Plan: $499 per month. You get 6,000 AI replies.

Is 500 Replies Enough?

A “reply” is one message from the bot. A typical conversation might have 5 to 10 replies. So 500 replies might cover 50 to 100 conversations.

For a small store this is plenty.

For a larger store you will need the Growth or Pro plan.

Calculating the ROI Snippet ² gives us a crucial benchmark: A human agent costs about $6.00 per minute. Let’s assume a conversation takes 5 minutes. That is a $30.00 cost for a human to handle one complex sale chat. With Zipchat on the Starter plan you pay $49 for 500 replies. Even if a conversation takes 10 replies that is 50 conversations for $49. That is roughly $1.00 per conversation.

The AI is 30 times cheaper than the human. But the real value is in the sales. IntegroPet ²⁹ saw a 16% Chat-to-Sale Conversion Rate. If you have 50 conversations and 16% buy that is 8 sales. If your Average Order Value (AOV) is $50 those 8 sales bring in $400. You spent $49 to make $400. That is an 8x Return on Investment. This math is why AI agents are becoming so popular. They pay for themselves very quickly.

The “Hidden” Cost of Humans

It is not just about the hourly wage. Humans need sleep. Humans get sick. Humans cannot answer 50 people at the exact same second.

An AI agent scales infinitely.

If you run a Super Bowl ad and get 10,000 visitors in one hour the AI handles it.

A human team would crash.

This scalability protects your revenue during your busiest times.

Gorgias: The Customer Experience Powerhouse

The Heritage of Helpdesk

Gorgias established itself as the premier helpdesk for Shopify by centralizing all customer communications into a single dashboard. Its strength lies in its deep integration with Shopify data allowing support agents to edit orders and issue refunds without leaving the chat window.¹

Central Command for Support

To understand Gorgias you have to understand the problem it solved first.

Five years ago support was a mess. You had one tab open for Gmail. One tab for Facebook Messenger. One tab for Instagram DMs. One tab for Shopify.

Agents spent half their day switching tabs.

Gorgias fixed this. It pulls everything into one feed.

When a ticket arrives Gorgias displays a sidebar with all the Shopify data for that customer.

You can see their lifetime spend. You can see their last order. You can see their tracking number.

This context allows agents to be faster and more helpful.

It is a tool built for Efficiency and Organization.

It handles huge volumes. Some brands process thousands of tickets a day through Gorgias.

For a long time Gorgias was purely about support. But recently they realized they needed to join the sales game.

Gorgias Convert: The Sales Layer

Gorgias Convert is a suite of features added on top of the helpdesk designed specifically to drive sales. It allows merchants to create targeted “Campaigns” that display chat messages based on specific criteria like cart value or URL allowing for highly customized sales interventions.¹⁸

Campaigns and Customization

Gorgias Convert works through “Campaigns.” These are similar to Zipchat’s proactive triggers but they are often more rule-based and manual to set up.

You can get very granular.

• URL Trigger: “Show this message only on pages that contain the word ‘boots’.”
• Cart Value Trigger: “Show this message only if the cart value is between $50 and $99.”
• Shopify Tag Trigger: “Show this message only to customers tagged ‘VIP’ in Shopify.”

This deep integration with Shopify tags is a unique strength.

If you know a customer is a VIP you can treat them differently. You can offer them a secret discount.

If you know a customer has bought from you three times before you can say “Welcome back! Ready for your fourth pair?”

This level of personalization requires data and Gorgias has the data.

Campaign Scripts and Examples Gorgias provides templates to help you get started. Snippet ³⁰ and ³¹ give us great examples of how brands use this.

• The “Upsell” Script: “You are so close to free shipping! Add one more item to qualify.” (Used by Manduka).
• The “Education” Script: “Hi! I see you are looking at our bidets. Here is a guide to check if it fits your toilet.” (Used by TUSHY).
• The “Discount” Script: “Welcome to the site! Here is 10% off your first order.” (Used by Glamnetic).
  These campaigns are effective because they are relevant. They appear at the right time with the right message.

The AI Agent: Automating Support

The Gorgias AI Agent is designed to automate repetitive support tasks to free up human agents for high-value conversations. It excels at “ticket deflection” by automatically handling “Where is My Order?” (WISMO) inquiries and returns without human intervention.⁵

Deflection vs. Conversion While Zipchat focuses on getting the sale the Gorgias AI Agent focuses on servicing the sale. A huge percentage of support tickets are simple questions. “Where is my stuff?” “How do I return this?” It is a waste of money to have a human answer these. The Gorgias AI Agent intercepts these tickets. It connects to the Shopify backend.

Customer: “Where is my order?” AI Agent: “I checked your order #12345. It was shipped via FedEx on Monday. Here is the tracking link. It should arrive tomorrow.” The ticket is closed. The human agent never saw it. This is called Deflection. Snippet ³² claims the AI Agent can resolve up to 60% of support inquiries. This saves massive amounts of money on staffing. It also improves the customer experience because the answer is instant. No waiting 24 hours to find out where your package is.

Pricing Complexity: The Gorgias Model

Gorgias uses a usage-based pricing model that combines a base subscription for the platform with additional per-interaction fees for automation. You pay for the helpdesk seat and then pay roughly $0.90 to $1.00 for every ticket resolved by the AI Agent.²¹

Understanding the Layers

Pricing is the biggest difference between the two tools.

With Gorgias you pay for the Infrastructure and the Labor separately.

Layer 1: The Platform (Infrastructure)

You must buy a Gorgias Helpdesk plan.

• Basic: $60/mo (Includes 300 tickets).
• Pro: $360/mo (Includes 2,000 tickets).
• Advanced: $900/mo (Includes 5,000 tickets).
  This pays for the dashboard the integrations and the ability for humans to work.

Layer 2: The Automation (Labor)

The AI Agent is an add-on. You pay for “Automated Resolutions.”

If the AI solves the ticket it costs you money.

• Monthly Plan: ~$1.00 per resolution.
• Annual Plan: ~$0.90 per resolution.

The Math of Resolutions

This can get expensive if you have high volume but it is still cheaper than a human.

If you have 1,000 WISMO tickets a month.

• Human Cost: 1,000 tickets * $5.00/ticket = $5,000.
• AI Cost: 1,000 tickets * $1.00/ticket = $1,000.
  You save $4,000 a month.
  However for smaller stores the combined cost of the platform ($60) plus the automation might be higher than Zipchat’s flat fee.
  You also have to consider Gorgias Convert. Often advanced sales campaign features require you to be on a higher tier plan or pay an additional fee. You must check the fine print of your specific contract.

Head-to-Head Comparison: The Deep Dive

We have looked at them individually. Now let’s put them in the ring together.

1. Installation and Onboarding

Zipchat:

• Method: Scrape-to-Learn.
• Speed: < 10 Minutes.
• Effort: Low.
• Experience: You enter your URL. You wait a few minutes. You test the bot. You paste the code snippet into Shopify. You are live. It is designed for the “DIY” merchant who wants results today.⁴

Gorgias:

• Method: Integration and Configuration.
• Speed: Days to Weeks.
• Effort: High.
• Experience: You install the app. You connect your email. You connect your social accounts. You upload your policies. You write your Macros. You set up your Rules. You configure your Views. It is a professional enterprise tool. It requires a proper implementation phase.

Winner for Speed: Zipchat.

Winner for Control: Gorgias.

2. Proactive Engagement (The Sales Engine)

Zipchat:

• Triggers: Hesitation, Scroll, Time, Exit Intent.
• Style: Fluid and aggressive. It feels like a smart assistant watching you.
• Setup: Pre-configured templates that work out of the box.

Gorgias:

• Triggers: URL, Cart Value, Customer Tags, Order History.
• Style: Rules-based and targeted. It feels like a marketing campaign.
• Setup: You build the logic. “IF this THEN that.”

Winner for Sales Focus: Zipchat. Its hesitation triggers are unique to closing sales.

Winner for Customer Segmentation: Gorgias. Its ability to use Shopify tags (VIP, returning customer) is unmatched.

3. Multilingual Capabilities

Zipchat:

• Native: Supports 95+ languages automatically.
• Mechanism: Detects browser language or input language and switches instantly.
• Benefit: Zero setup for international sales. If a customer speaks French the bot speaks French.⁴

Gorgias:

• Supported: Can handle multiple languages but often requires separate setups or specific rules to route tickets to language-specific teams or macros.
• Benefit: Better for ensuring a native human agent handles the ticket if the AI fails.

Winner: Zipchat is easier for global selling.

4. Integrations and Ecosystem

Zipchat:

• Focus: Shopify, WhatsApp, Instagram (Coming Soon).
• Philosophy: Do a few things perfectly.
• Strength: The WhatsApp integration for abandoned cart recovery is a killer feature. It moves the conversation to a personal channel.⁶

Gorgias:

• Focus: Everything.
• Philosophy: Be the central operating system for support.
• Strength: Integrates with Yotpo (reviews), Klaviyo (email), Recharge (subscriptions), Loop (returns). If you use it Gorgias connects to it.²²

Winner: Gorgias is the undisputed king of integrations.

Summary Comparison Table

Feature	Zipchat AI	Gorgias (Helpdesk + AI + Convert)
Primary DNA	Sales Agent (Revenue Focus)	Support Manager (Efficiency Focus)
Setup Time	Minutes (Scrapes website)	Days/Weeks (Manual configuration)
Pricing Structure	Flat Monthly Fee (Tiered by usage)	Base Fee + Per-Resolution Fee
Entry Price	$49/mo (Starter)	$60/mo (Basic) + AI Usage fees
Proactive Chat	Behavioral (Mouse movement, hesitation)	Logic-Based (Cart value, URL, Tags)
Knowledge Base	Auto-generated from website content	Manually uploaded/Macros
Channels	Web Chat, WhatsApp	Email, Social (IG/FB/TikTok), Chat, SMS
Ideal Merchant	Growth-focused, lean team, needs sales	High volume, large support team, complex stack

Implementation Guide: How to Turn It On and Make Money

You have chosen your tool. Now you need to make it work. Simply installing it is not enough. You must train it to be your best employee.

Step 1: Feed the Brain (Data Ingestion)

For Zipchat:

Your website is the source of truth. Before you install ensure your Shopify pages are clean.

• Product Descriptions: Are they detailed? Do they answer “Does it fit true to size?” Do they list the materials? The AI reads this. If it’s not there the AI can’t say it.
• Policies: Is your shipping policy clear? “Shipping takes 3-5 days” is better than “Standard shipping applies.”
• Scrape: Run the scraper. Then verify. Ask the bot “Do you ship to Canada?” If it says “I don’t know” check your shipping policy page.

For Gorgias:

You need to build your “Macros.”

• Audit your previous tickets. What are the top 20 questions you get?
• Write the perfect answer. Write it once perfectly.
• Upload to AI. Tell the AI “Use this Macro for shipping questions.”
• Connect Shopify: Ensure the Shopify integration is active so the AI can see order data.

Step 2: Define the Persona (Prompt Engineering)

You do not want a robot. You want a brand ambassador.

You can give “System Instructions” to the AI.

The Prompt:

“You are a friendly, energetic expert on. You love helping customers find the perfect item. You use emojis occasionally but not too much. You never guess. If you are unsure you ask for clarification. You always try to guide the customer back to a product recommendation.”

Tone Tips:

• Simple: “Use Grade 8 English.”
• Active: “Say ‘We can help’ not ‘Assistance is available’.”
• Brand Specific: If you are a skate shop use skate slang. If you are a luxury jeweler use formal elegant language.

Step 3: Activate the “Money Triggers”

Do not wait for them to talk to you. Talk to them.

Strategy A: The Homepage Greeter

• Trigger: Time on Page > 10 seconds.
• Message: “Hi! Welcome to. Are you looking for anything specific today? I can help you find it.”
• Goal: Engagement. Get them talking.

Strategy B: The Product Page Closer

• Trigger: Scroll Depth > 50% OR Time on Page > 45 seconds.
• Message: “I see you are checking out the [Product Name]. It’s one of our favorites. Do you have any questions about the sizing?”
• Goal: Education. Remove the doubt blocking the sale.

Strategy C: The Cart Saver

• Trigger: Exit Intent (Mouse moves to close tab) on Cart Page.
• Message: “Wait! You left some great items in your cart. Is there anything I can do to help you finish your order? Maybe a question about shipping?”
• Goal: Recovery. Save the sale.

Step 4: The Human Safety Net (Escalation)

You must set up a safety net.

AI is smart but it is not human. It lacks empathy in complex emotional situations.

The Rule:

“If the customer uses words like ‘angry’, ‘upset’, ‘broken’, ‘scam’, or ‘refund’, immediately offer to transfer to a human.”

The Handoff:

• Zipchat: Can capture the user’s email and send a transcript to your team.
• Gorgias: Can tag the ticket as “Urgent” and route it to a human agent’s view immediately. This ensures that your VIP customers get white-glove service when things go wrong.²³

Addressing the Risks: Hallucinations and Robots

The Fear of “Lying AI“

AI “hallucinations” occur when the model confidently invents facts because it is predicting the next word based on patterns rather than retrieving verified data. This is a known risk with Large Language Models but can be mitigated through “Grounding” and strict retrieval protocols.²⁵

Why it Happens:

Imagine you ask an AI “What is the battery life of the X-2000?”

If the AI has never read the manual for the X-2000 it might guess. It might say “20 hours” because other similar gadgets have 20-hour batteries.

To the AI this is a “prediction.” To you it is a lie.

How to Stop It:

1. Strict Retrieval: Configure the bot to only use the information in your Knowledge Base. “If it is not in the text provided do not answer.”
2. Uncertainty declarations: Train the bot to say “I am not sure about that detail let me ask a human.” This is better than a fake answer.
3. Data Quality: Snippet ²³ suggests “wiring product truth straight from live systems.” This means connecting the bot to your Shopify API so it pulls the exact specs from the database rather than reading a text description. Zipchat and Gorgias both use these API connections to reduce error.

The Fear of “Robotic” Interactions

Early chatbots failed because they were rigid and rule-based. Modern AI sales agents use Natural Language Processing (NLP) to understand slang, typos, and context, allowing for fluid and human-like conversations. Users often report feeling like they are speaking to a real person which builds trust and increases conversion.¹⁰

The “Human” Touch Snippet ²⁷ shares a Reddit user’s experience: “It was the first time I felt the bot actually understood intent.” This is key. Old Bot: User: “My package is late.” Bot: “Please enter your order number.”

New AI Agent:

User: “My package is late.”

AI Agent: “Oh no! I am so sorry to hear that. That is frustrating. Let me check on that for you right now. Do you have your order number handy?”

The empathy makes the difference. It turns a negative experience into a neutral or positive one.

The Future: Agentic Commerce

We are standing at the beginning of a revolution.

Today we are excited that a bot can answer a question.

Tomorrow the bot will run the store.

This concept is called Agentic Commerce.

The “Agent” is an autonomous worker.

We are moving from “Chat” to “Action.”

What is coming next?

• Negotiation: AI agents will be authorized to negotiate prices. “I can’t give you 20% off but I can give you 10% if you buy two items.”
• Personal Shopping: The agent will remember you. “Hi Sarah! The shoes you bought last year have a new version. Want to see them?”
• Logistics: The agent will handle complex logistics. “I see you need this by Friday. I can upgrade your shipping for $5. Do you want me to do that?”

Zipchat and Gorgias are building the foundation for this. By adopting these tools now you are training the brain of your future automated workforce.²⁸

Conclusion

The decision between Zipchat and Gorgias is not about which tool is “better.” It is about which tool fits your current business model.

Choose Zipchat If:

• You are a growth-focused brand looking for immediate sales lift.
• You want a tool that installs in minutes and requires minimal management.
• You sell internationally and need automatic translation.
• You want to leverage WhatsApp for aggressive marketing and cart recovery.
• You are comfortable with a tool that focuses purely on the sales conversation.

Choose Gorgias If:

• You are an operational-focused brand with high ticket volume.
• You need to centralize email, social, and chat in one place.
• You have a dedicated support team that needs powerful workflow tools.
• You want to build complex, data-driven campaigns based on deep Shopify tagging.
• You are willing to invest time in setup and configuration to get perfect control.

The Final Verdict

The era of the silent store is over.

You cannot afford to let traffic come and go without saying hello.

Your customers are hesitating. They have questions. They want to buy but they need a nudge.

An AI Sales Agent provides that nudge at scale.

It works while you sleep. It speaks every language. It never gets tired.

Whether you choose the agile hunter (Zipchat) or the robust manager (Gorgias) the most important step is to start. Turn on the agent. Open the conversation. Watch your revenue grow.

Action Plan for Today

1. Audit your traffic. How many visitors leave without buying? Write that number down. It represents your opportunity.
2. Pick a trial. Both tools offer free trials.
3. Install it. If you want speed try Zipchat first. If you need organization try Gorgias.
4. Set one trigger. Turn on the “Cart Abandonment” message.
5. Test it. Open an incognito window and chat with your own bot. Does it convince you to buy?

What is the most common question your customers ask before they buy? Imagine if that question was answered instantly for every single visitor. How much would your sales grow? Let me know in the comments.

Works cited

1. The Top 15 Shopify Live Chat Apps for 2025 | Zipchat AI for Ecommerce, accessed January 22, 2026, https://www.zipchat.ai/post/top-shopify-live-chat-apps
2. AI Agent vs. Live Chat: The ROI & Cost Breakdown for Shopify | Debales AI, accessed January 22, 2026, https://debales.ai/blog/live-chat-vs-ai-agent-cost
3. Zipchat AI Chat & AI Chatbot – AI Chatbot+ AI Chat to Automate Sales, Cart Recovery &… | Shopify App Store, accessed January 22, 2026, https://apps.shopify.com/zipchat
4. E-commerce Chatbots: Which Works Best for Online Shopping? | Zipchat AI for Ecommerce, accessed January 22, 2026, https://www.zipchat.ai/post/ecommerce-chatbot-which-works-best-for-online-shopping
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