pagergpt Review: How I Built an E-commerce Agent in Minutes

Are you someone who opens your support inbox and instantly feels overwhelmed? Yet, most tools still expect humans to juggle everything manually.

I just finished trying pagergpt, where I built and deployed my own e-commerce assistant. During the process, I learned where it excels, needs improvement, and who it’s truly built for.

In this pagergpt review, I’ll discuss the pros and cons, what it is, who it’s best for, and its key features. Then, I’ll show you how I used it to create an e-commerce assistant in a matter of minutes.

I’ll finish the article by comparing pagergpt with my top three alternatives (Lindy AI, Relevance AI, and Botpress). By the end, you’ll know if pagergpt is right for you!

Verdict

pagergpt delivers fast no-code AI agents with strong integrations, analytics, security, and global language coverage. However, its RAG limits learning, and there are risks of hallucinations. You may also find yourself tweaking prompts for the best results.

What is pagergpt?

pagergpt is a no-code platform for building custom AI agents. These agents handle customer support, sales, and other interactions by being trained on your business data, like websites, documents, or tools such as Notion and Zendesk.

A big selling point for pagergpt is its certifications. It has ISO 27001 and SOC II certification, which is a big deal for enterprise-level security.

How pagergpt Works

pagergpt lets you create intelligent agents that don’t just answer questions. Rather, they perform tasks and take action that would normally require a human to jump in.

For example, let’s say a customer needs to process a return, update their shipping address, and get a discount code for their trouble. Before pagergpt, that would be three separate handoffs to the support team.

But with a pagergpt agent, it handles the entire workflow autonomously. It’ll process the return, update the account, apply the discount, and even follow up two days later to make sure everything arrived okay.

More Than a Chatbot

However, pagergpt is not like a traditional chatbot. These agents need to be permitted to do things, whether that’s processing refunds, scheduling appointments, ot updating account information. Whatever your workflow requires.

Who is pagergpt Best For?

Here’s who pagergpt is best for:

• Customer support teams handling high-volume queries like order tracking, refunds, or FAQs through bots.
• Sales and marketing representatives using lead capture and booking tools integrated with CRMs like HubSpot or Calendly.
• E-commerce businesses automating personalized recommendations, returns, and payments with Shopify/Stripe connectors.

pagergpt Key Features

Here are pagergpt’s features:

• AI Agent Studio: Create and deploy AI agents that have been trained on your data (from URLs, documents, and connected apps) in minutes. Use them for e-commerce, customer support, events, retail, sales, and employee support.
• 90+ Integrations: Effortlessly connect your AI agents to popular tools like Gmail, Calendly, and Shopify.
• Enterprise-Grade Security: ISO 27001, SOC 2, and GDPR compliance so your data is protected.
• Shared Live Chat Inbox: One inbox for AI and human chats across all support channels. Collaborate in real time, respond faster, and deliver better customer support at scale.
• Multilingual Support: Agents handle 95+ languages for global operations.
• Analytics Dashboards: Track resolution rates, sentiment, trends, and AI suggestions for ongoing improvement.
• Action Automation: Agents perform real tasks like ticket creation, refunds, and order tracking via integrations.
• Guardrails & Hallucination Controls: Training and policies prevent off-topic or inaccurate responses.
• No-Code Templates & Fast Setup: Pre-built workflows deploy in hours, even for advanced use cases.

How to Use pagergpt

Here’s how I used pagergpt to create an e-commerce assistant:

1. Sign Up for pagergpt
2. Choose an AI Agent Template
3. Upload Content for Training
4. Train the AI Agent
5. Test the AI Agent
6. Provide a Name & Purpose
7. Add Instructions
8. Configure Actions
9. Connect Calendly
10. Test the Agent
11. Deploy the AI Agent
12. Choose the Host

Step 1: Sign Up for pagergpt

I started by going to pagergpt.ai and selecting “Sign Up” on the top right.

Step 2: Choose an AI Agent Template

After creating my account and answering a few questions, pagergpt asked me which AI agent template I wanted to begin with:

• E-Commerce Assistant
• Customer Support
• Event & Booking Assistant
• Retail Customer Success
• Sales Assistant
• Employee Support
• Create Your Own

I chose E-Commerce Assistant. I wanted to see how well pagergpt could complete e-commerce tasks, such as refunds and order tracking.

Step 3: Upload Content for Training

Next, I added some files to train my bot with my content. I uploaded a PDF of a product catalog, store policies, and some orders.

Step 4: Train the AI Agent

Once uploaded, I trained the AI agent on the content.

Step 5: Test the AI Agent

Once my AI agent was trained, I hit “Start testing.”

Step 6: Provide a Name & Purpose

Immediately, I was taken to the “Agents Studio” where I could customize my AI agent.

The name, purpose, and greeting were already automatically populated by pagergpt. However, I changed these fields to match the PDF I’d uploaded and filled it out with the following:

• Name
  • StellarHome
• Purpose
  • You are a knowledgeable and helpful E-commerce Assistant for StellarHome. Your goal is to help customers find product information, explain shipping and return policies, and provide updates on order statuses (using the Order ID or Customer Name). You must strictly follow the store’s “unused” return policy and accurately calculate shipping costs based on the $50 threshold.
• Greeting
  • Hi {name}! 👋 I’m your StellarHome shopping assistant. I’m here to make your experience seamless and fast. I can help you:
    • Find products by category or features
    • Recommend items based on your preferences or budget
    • Check details on availability and shipping costs
    • Track or return an existing order
    • Share current deals and store promotions
  • What are you looking for today?

Step 7: Add Instructions

Next, I filled out the “Instructions” section with this:

“Role & Tone: You are the StellarHome Shopping Assistant. Your tone is concise, friendly, and professional. You are designed to provide a high-end e-commerce experience.

Handling “How can you help?” When a user asks “how can you help me?”, reply naturally with examples based on StellarHome data: “I can help you find products, track your orders, or explain our policies. For example, try asking: ‘Show me yoga mats under $50’ or ‘Compare the Super-Quiet Blender with other options.’”

Personalization & Context: Always use stored user details (First Name: {first_name}, Last Name: {last_name}, Email: {email}, Location: {location}) to personalize the conversation. If this data is available in the chat context, do not ask for it again.

E-Commerce Actions:

• If the user asks to track an order, reference the “Recent Customer Orders” section in your knowledge base (or trigger the Order Tracking integration if active).
• If the user asks about returns, strictly verify the “unused” requirement from the StellarHome Return Policy.

Knowledge Constraints:

• When no relevant information is found in the StellarHome PDF/Files, politely offer to connect the user with a live agent via the Shared Inbox.
• If a brand or store name in the knowledge source is marked as restricted, replace it with “our store.”

Response Style: Keep responses short and optimized for mobile chat widgets. Use bullet points for product features or multi-step instructions.”

Step 8: Configure Actions

Last but not least was configuring actions. This is where you can connect apps to actually do things (for example, looking up a real tracking number or booking a meeting) instead of just reciting text from the content you trained the AI on. I selected “Configure Action.”

Step 9: Connect Calendly

This opened a new window where I could connect 90+ apps like Gmail, Shopify, and Calendly. I started with Calendly.

I selected “Get Events,” named it “Schedule a Meeting,” and connected my Calendly account.

Step 10: Test the Agent

Once my account was connected, I began testing my agent in the chatbot on the right. I started with a simple “Hello” to see how it would respond.

Its response was exactly what I put in the “Greeting” field. Just make sure to add the right variables in the greeting if you want it to use the user’s specific name, etc.

Next, I asked the agent, “What do you sell?” to see if it would accurately pull the information from my knowledge base (the PDF I uploaded).

Unfortunately, it kept things general when I wanted to know the specific products by responding with:

“Hi! We sell a variety of home and lifestyle products including furniture, kitchen appliances, home decor, bedding, and more. If you want, I can help you find something specific or recommend items based on your preferences. What are you looking for today?”

To fix this, I added these specific instructions:

“CRITICAL RULE: USE KNOWLEDGE BASE ONLY You are the StellarHome Assistant. You are STRICTLY forbidden from using your own general knowledge about what stores typically sell.

1. Inventory Control: If asked “What do you sell?”, you must ONLY list the “Super-Quiet Blender” and “Eco-Friendly Yoga Mat.” Do NOT mention furniture, bedding, or decor.
2. Verification: Before every response, search the uploaded “StellarHome Catalog” PDF. If the information is not there, say: “I’m sorry, we don’t carry that at StellarHome. We currently only offer our signature Blender and Yoga Mat.”
3. Tone: Concise and high-end.”

Updating the knowledge base worked! It was much more specific.

Next, I wanted the AI to send me a Calendly link to book a meeting. I responded with this: “I’d like to book a consultation for the blender.”

Once again, the response was too general.

To fix this, I added the following instructions: “Whenever a user mentions ‘booking,’ ‘scheduling,’ ‘meeting,’ or ‘consultation,’ you must immediately trigger the Calendly Action and show the booking widget.”

I reran the conversation, and overall it worked! While the link wasn’t a widget, and it responded with the Calendly link after I gave it my email, it still did exactly what I wanted.

Step 11: Deploy the AI Agent

Once I was happy with everything, I hit “Deploy” on the top right.

Step 12: Choose the Host

This was where I could choose where to host the AI agent (website, Slack, Microsoft Teams, etc.)

Overall, pagergpt made it surprisingly easy to build, train, and refine a practical e-commerce AI agent without touching code. While it took a bit of instruction tuning to get it working how I wanted, it handled workflows like product queries and scheduling how I wanted.

Top 3 pagergpt Alternatives

Here are the best pagergpt alternatives:

Lindy AI

The first pagergpt alternative I’d recommend is Lindy AI. It helps businesses build a full AI workforce with agents that handle support, sales, marketing, operations, and internal tasks with simple prompts.

Both pagergpt and Lindy AI let you create AI agents without code and connect them to your existing tools. They aim to automate conversations and workflows to save time and scale faster.

However, pagergpt is built specifically for customer communication. It offers AI chat agents, a shared live chat inbox, and workflows that bring AI and human conversations together in one place.

Meanwhile, Lindy AI goes broader. It’s designed to manage many types of AI employees, including voice agents, outbound sales agents, and meeting recorders.

For AI customer support, live chat, and shared inbox collaboration, choose pagergpt. For building and managing a full AI workforce across sales, marketing, operations, and internal teams, choose Lindy AI.

Read my Lindy AI review or visit Lindy AI!

Relevance AI

The next pagergpt alternative I’d recommend is Relevance AI. Relevance AI is built for teams that want to create a full AI workforce, not just chat experiences. Build, customize, and manage multiple autonomous AI agents that handle complex business tasks like sales, marketing, research, and operations.

On the one hand, pagergpt is more focused on customer interactions and support workflows. It comes with a live chat, shared inboxes for AI and human agents, and fast deployment.

On the other hand, Relevance AI goes much deeper into multi-agent systems. Teams can build independent agents, connect them to internal tools and data, and run large-scale workflows that feel like hiring an AI team.

For customer support with AI, live chat, and sales conversations, choose pagergpt. For building a fully customizable AI workforce, choose Relevance AI.

Read my Relevance AI Review or visit Relevance AI!

Botpress

The final pagergpt alternative I’d recommend is Botpress. It’s a powerful AI agent platform built for teams that want deep control, advanced logic, and deployments across channels.

On the one hand, pagergpt is built for speed and simplicity. It shares a live chat inbox that brings AI chats, human chats, and all support channels into one workspace. Setup is fast, collaboration is easy, and it’s best for teams that want results without heavy technical work.

Meanwhile, Botpress was made by developers, for developers. It’s designed for complex workflows, custom logic, and teams that want to build tailored AI agents at scale.

For fast deployment, shared inbox collaboration, and AI customer support, choose pagergpt. For advanced agent logic and custom development, choose Botpress.

Read my Botpress Review or visit Botpress!

pagergpt Review: The Right Tool For You?

Overall, pagergpt impressed me with how quickly I could go from idea to a working e-commerce AI agent.

What stood out most was how easy it was to refine behavior with instructions. Once I tightened the rules around the knowledge base and actions, the agent behaved as I wanted. It handled product questions and triggered real workflows like scheduling without much friction.

However, pagergpt isn’t about building the most complex AI system possible. It’s about building something useful fast. For customer support, sales chat, and e-commerce assistants, it hits a sweet spot.

However, if you want deep custom logic or a full AI workforce across departments, you may outgrow it. If that’s the case, consider these alternatives:

• Lindy AI is best for teams that want a broad AI workforce for sales, marketing, and internal tasks beyond chat.
• Relevance AI is best for advanced teams building multi-agent systems and running complex business workflows.
• Botpress is best for developers who need full control, custom code, and complex agent logic at scale.

Thanks for reading my pagergpt review! I hope you found it helpful.

pagergpt offers a free plan with 25 free test chats. Try it for yourself and see how you like it!