 Chatbase is a popular no-code platform for creating AI chatbots trained on your own content, praised for its easy setup and solid integrations, but held back by billing issues, scaling costs, and uneven support.

Below, we cover everything from its pricing, key features, pros, cons, add-ons, customer reviews, scaling challenges, and the best alternatives for both ready-made and fully custom AI agents.

Chatbase is a platform for building custom AI chatbots powered by your own data.

It lets you upload files, connect sources like websites or Notion, and in minutes, your chatbot can answer questions using that information.

Chatbase is great for delivering fast, easy-to-deploy, no-code support chatbots with solid analytics and flexible pricing.

It’s best suited for SMBs needing basic to mid-level AI-powered customer support. However, enterprises requiring robust customization or top-tier support may find its capabilities and service to be uneven.

Plans are limited and can quickly get expensive. And answer quality tends to vary. Chatbase customers can consider 

 as the top alternative to Chatbase in 2025.

: 4.3 / 5 from 73 reviews—high marks for ease of use and value, though some cite occasional support/documentation issues.

: Just 2.1 / 5 based on 12 reviews, with major complaints around billing, refunds, and unresponsive support.

: Setting up chatbots for customer support, FAQs, knowledge base queries, document-driven automation, and no-code AI interactions.

: Quick, intuitive onboarding; broad integration support; analytics; and multilingual/crawling capabilities on higher plans.

 (SaaS, e-commerce, services) seeking an affordable, no-code support bot.

A variety of roles: entrepreneurs, marketing/product teams, support leads, consultants—across industries like wellness, travel, education, and software development.

, including recognizable enterprises like 

Testimonials from leaders at OpenAI, Google, Pinecone, and OfferMarket.

Strong analytics and integrations with Slack, WhatsApp, WordPress, Zapier, APIs.

Supports fast access to GPT, Anthropic, Gemini, Cohere. Even image-based support with advanced plans.

Mixed customer support quality (some praise; others report unresponsiveness or billing issues).

Limited advanced customization (e.g., multilingual flows, live-chat handoffs, deeper automation).

Some users mention accuracy issues and a lack of structured conversation flows.

: Fast models are available for free plans, upgradable to GPT -4 Mini, Anthropic, Cohere, or Google Gemini for enhanced performance, particularly in complex and multilingual scenarios.

: Instruct the AI chatbot to trigger workflows based on chat conversations automatically.

: Dashboards tracking chat volume, topic trends, escalations, and agent hand-offs.

The main way you’ll build a bot is through Chatbase’s AI Agent section ⤵️

Once you click New AI agent, it’s time to add knowledge to train your chatbot ⤵️

Once your chatbot has been trained on your own data and you set the correct settings, you can immediately start talking to it in the Playground ⤵️

. Sign up with your email, Google, or GitHub.

 and choose a name like "Support Assistant."

 Upload PDFs, paste text, or add website URLs so Chatbase can learn your FAQs and support info.

 Pick from GPT-4o Mini, Anthropic, Gemini, and others depending on your plan and needs.

 Set instructions like “Be friendly” or “Use only uploaded content.” Add fallback messages for when the bot is unsure.

 Use the built-in tester to ask real questions and review responses. Adjust your content or instructions as needed.

 Embed it on your website with a code snippet or connect it to Slack, WhatsApp, WordPress, or Zapier.

 tab to see usage, unanswered questions, and refine your content over time.

 that users consistently praise, based on forum feedback and real reviews:

 Provides insightful metrics—chat volume, top queries, fallback rate, lead captures. Users on G2 say it "makes it easy to identify trends, optimize responses, and improve interactions". Teams use analytics reports weekly to detect conversation gaps efficiently .

 Allows training bots on your PDFs, docs, URLs. A Capterra user noted its power to "summarize thousands of pages and help find relevant information in simple and quick ways”. A Product Hunt review called it "plenty of options for training it on your content".

 Small triggers, like routing complex questions to humans or sending Slack notifications, are highly valued. On AppSumo users praised "actions" as a recent and useful addition. Workflows can automate tasks: “search websites, send notifications, route issues” .

 Users love how fast it is to train and deploy. Reddit users describe it as "great for quick setups" though one noted customization limits. AppSumo reviewers said it's "one of the easiest to get up and running".

 Built-in confidence scoring helps assess answer reliability. While not always front-page, users appreciate the ability to “revise answers” and enhance phrasing which boosts trust over time .

 Lets the bot send messages or alerts directly into Slack channels. Teams can get notified about customer queries or escalate conversations to human agents.

 Enables customer chats on WhatsApp to be handled by the bot. Helps businesses offer automated support on a channel many customers already use.

 Provides an easy plugin or embed option to add the chatbot to your WordPress site. Visitors can get automated answers without leaving the page.

 Connects Chatbase to thousands of other apps. Allows workflows like adding new leads to a CRM or sending email alerts when specific questions are asked.

 Lets the bot help users schedule appointments directly in chat. Automates booking without manual back-and-forth.

 Enables advanced integrations with your own systems. Lets businesses send or receive data, trigger custom actions, and tailor the bot’s behavior to specific needs.

: 4.3 / 5 (73 reviews), high for usability but lower for support (3.8)

: 2.1 / 5 (12 reviews), mostly 1-star due to billing and support issues

: Mixed reviews praising interface and ease of use but noting support and stability problems

: Around 4 / 5 average, with praise for core functionality but complaints about model access, pricing, and unmet promises

Users consistently praise the intuitive interface that lets non-technical people set up chatbots quickly and effectively. One Capterra review said:

“Non-technical professionals can now tailor their own AI chatbot without a line of code.”

Chatbase supports training on websites, files, and Q&A docs, and integrates with WhatsApp, Instagram, Slack, Zapier, and CRMs. This makes it versatile for many use cases.

Many report that it boosts engagement and handles repetitive customer questions well, saving time and improving user experience.

Paid tiers unlock chat analytics and action triggers like scheduling meetings. Users appreciate seeing regular updates and new features.

Many users report unresponsive support, slow replies, and unauthorized charges even after canceling. For example, one Trustpilot review said:

“They continued to charge my card ... reaching out to support was useless ... feels like deliberate tactic.”

There is a free tier, but credit limits feel restrictive. Paid plans at $40–$500/month are seen as expensive or unclear for small businesses.

Technical stability issues & answer quality

Users mention system crashes, slow loading, API errors, and blank screens, making it less reliable at times.

Some complain about missing features like multi-language support, live chat handoff, SSO, bulk Q&A import, and needing to pay extra for whitelabel branding.

Full breakdown of Chatbase’s pricing here 

Chatbase prices its AI chatbot platform using a tiered subscription model based on the number of bots, monthly valid chats, and access to specific features.

Chatbase Review (2025): Key Features, Pricing & Insights

AI chatbots enhance business operations by automating customer support, boosting sales through conversational commerce, qualifying leads, providing 24/7 self-service, managing internal helpdesks, and personalizing customer engagement across various channels.

What Are the Top Use Cases for AI Chatbots in Business?

AI chatbots have evolved from novelty add-ons to mission-critical tools for modern companies. Businesses across industries use chatbots to improve customer experience, reduce operational costs, and boost revenue.

Below are the most impactful, real-world use cases that we hear from Big Sur AI customers for chatbots today:

AI chatbots can instantly answer frequently asked questions (FAQs), guide users through troubleshooting steps, and reduce support wait times dramatically. Instead of needing to expand human support teams around the clock, businesses can deploy chatbots to handle thousands of simultaneous queries 24/7.

For example, an e-commerce store might use a bot to process return requests, track orders, and answer sizing questions → all without human intervention.

In Big Sur AI, you can set automated actions for your AI chatbot to perform when the conversation meets specific criteria ⤵️

Sales teams often struggle to qualify leads quickly and efficiently. Chatbots solve this by asking visitors targeted questions in real-time, collecting essential details such as budget, timeline, and use case.

They can score leads, push qualified ones to sales reps, or even book meetings automatically. For instance, a SaaS company might use a chatbot on its pricing page to proactively engage visitors, qualify them with a short quiz, and schedule a demo call.

The most sophisticated AI chatbots like Big Sur AI will automatically try to capture and convert leads when the chatbot deems it optimal for both the visitor and the brand ⤵️

Chatbots are reshaping online shopping by delivering personal, real-time shopping assistance. They can help customers choose the right products, provide tailored recommendations based on preferences or past purchases, and even complete transactions within the chat interface.

Retailers like H&M and Sephora use chatbots to recreate an in-store shopping experience online, driving conversions and reducing cart abandonment.

Visitors interacting with an AI chatbot like Big Sur AI can ask any complex question and get a precise answer. The chatbot will also suggest the best next follow-up questions 👇

#4 - Employee Self-Service and IT Helpdesk

Companies often spend huge resources on internal support, whether for IT issues like password resets or HR policy questions. Chatbots can automate these routine tasks, freeing up IT and HR teams to focus on more strategic work.

Employees can reset passwords, look up policies, request equipment, or check PTO balances → all through a chat interface integrated with internal systems. This not only reduces ticket volume but also improves employee satisfaction by delivering faster answers.

#5 - 24/7 Customer Engagement on Multiple Channels

Customers today expect brands to be available wherever they are → websites, social media, messaging apps, or even voice assistants.

Chatbots let businesses maintain a consistent, always-on presence across channels, so customers can get answers any time, anywhere.

For example, a travel company might use the same chatbot to help customers book trips via its website, Facebook Messenger, and WhatsApp, ensuring a seamless experience.

AI chatbots are great for handling small tasks on the spot.

As an example, Service-based businesses like medical clinics, salons, or consultancies use chatbots to automate appointment booking, reducing no-shows and administrative workload.

Instead of calling or emailing, customers can schedule, reschedule, or cancel appointments directly within a chat.

Here’s a summary of the main tasks that AI chatbots handle for businesses today (this list will only grow as chatbots get smarter) 👇

Traditional surveys often have low response rates because they feel tedious. Chatbots make feedback collection conversational and engaging, asking one question at a time and adapting follow-ups based on responses.

Businesses can utilize bots to collect post-purchase feedback, measure the Net Promoter Score (NPS), or even identify pain points in real-time.

For example, after resolving a support ticket, a bot can ask the customer how satisfied they were with the service and escalate issues if necessary.

How Do AI Chatbots Improve Customer Support?

AI chatbots are revolutionizing customer service by delivering faster, more consistent, and more cost-effective support.

24/7 Availability Without Scaling Human Staff

Customers can get help anytime, even during nights and weekends. This always-on support boosts customer satisfaction and reduces the need for expensive human agents on night shifts.

Chatbots can handle common, repetitive questions, such as “What’s your return policy?” or “How do I reset my password?” This frees up human agents to focus on more complex issues.

When a question is too complex, chatbots can hand it off smoothly to a live agent, providing context so the customer doesn’t have to repeat themselves.

Bots always deliver brand-approved answers in the right tone, ensuring customers receive reliable, consistent information.

 IBM reports that businesses can cut customer support costs by up to 30% with well-implemented chatbots. The savings come from reduced staffing requirements and shorter resolution times while maintaining or even improving customer experience.

Chatbots don’t just support customers → they can actively increase revenue.

Bots can ask questions about customer needs and preferences, then recommend the best-fit products, much like a helpful in-store associate.

Instantly Answering Pre-Purchase Questions

Questions about features, shipping times, or payment options can be answered on the spot, reducing buying friction and lowering cart abandonment rates.

By using past purchase data or real-time inputs, chatbots can suggest tailored products or special offers, increasing average order value.

Some bots support end-to-end checkout, letting customers add items to cart and pay directly in the chat window, simplifying the buying process.

Salesforce research shows that 70% of consumers expect brands to deliver conversational experiences. Meeting this expectation can significantly improve conversion rates and customer loyalty.

How Do Companies Use Chatbots for Internal Support?

Internal-facing chatbots help companies save time and reduce operational costs by automating employee support.

Bots can guide employees through secure, automated password resets without waiting for IT staff.

Employees can ask about benefits, leave policies, or expense procedures and get instant, consistent answers.

New employees can use chatbots to navigate orientation tasks, access training materials, and understand company processes.

Chatbots can triage IT or HR requests, directing them to the right teams or systems automatically.

Microsoft Azure’s bot service notes that these use cases reduce internal support workload while improving response times, making employee experiences smoother and more productive.

Lead generation is one of the most valuable use cases for chatbots, delivering significant ROI. Here’s how they help:

Bots can ask visitors qualifying questions while they’re most engaged on the site, identifying high-quality leads automatically.

Rather than relying on static forms, chatbots capture information in a more conversational, less intrusive way.

Instead of passively hoping visitors fill out a form, bots proactively engage them before they leave, turning more visits into opportunities.

HubSpot research shows that companies using chatbots can see substantial increases in lead capture rates, making them a powerful tool for modern digital marketing strategies.

Need an AI chatbot that converts website visitors?

 chatbot assistant, personalization engine, and content marketer for websites.

Designed as AI-native from the ground up, our agents deliver deep personalization by syncing your website’s unique content and proprietary data in real time.

They interact naturally with visitors anywhere on your site, providing relevant, helpful answers that guide users toward their goals → whether that’s making a decision, finding information, or completing an action.

All you need to do is type in your URL, and your AI agent can be live in under 5 minutes ⤵️

 Big Sur AI will automatically analyze your site content.

 Set up specific AI actions and decide where the AI agent will appear on your site.

 Your AI agent will be live in minutes, and you can track performance with real-time analytics.

Try Big Sur AI on your site in minutes by clicking the image below 👇

7  Use Cases to delegate to AI Chatbots right now (July 2025 Review)

AI voice agents are automated systems that can hold real-time conversations over the phone or via voice interfaces. Instead of relying on human agents to answer every call, a voice agent uses speech-to-text, large language models, and text-to-speech to interpret what callers say, figure out the right response, and speak it back naturally.

These agents can greet customers, answer FAQs, schedule appointments, take orders, qualify leads, and even handle support workflows, all without a human in the loop.

Think of an AI voice agent as running through a 

, with each stage handling a specific job. Here's a simple, step-by-step flow you can imagine like a relay race:

Listen (ASR) → Understand (LLM/NLU) → Decide & Act (Dialog Manager) → Speak (TTS)

You ask → System transcribes → AI understands → Finds answer → Speaks back.

Step-by-step instructions (so you can build yours) ⤵️

You speak your question or request, e.g., “What time does the bank close?”

 your voice into text using Automatic Speech Recognition (ASR). ✅ Example Output: "what time does the bank close"

Step 3: Language Understanding (NLU / LLM)

The text is sent to an AI language model that 

 Understands what you're trying to do → 

Step 4: Decision & Action (Dialog Management)

Calls external APIs or databases if needed (e.g., fetch today's closing time).

 answer → "The bank closes at 5 PM today."

The agent is ready for your next question, maintaining context in real-time.

 Your virtual agent can take calls any time, even at night or on holidays.

 Reduce staffing costs by automating routine conversations.

 Every caller gets a professional, on-brand interaction.

 AI can pull in CRM data to customize greetings and answers.

 Easily handle 10 or 10,000 calls without hiring new agents.

 Automatically record and analyze conversations to improve service.

5 Ways to Set Up an AI Voice Agent (Detailed & Tactical)

1️⃣ Use a Prebuilt Voice Agent Platform

Platforms like Retell AI, Talkdesk, or Kore.ai offer out-of-the-box voice agent builders.

 Fastest way to get live. Often includes telephony, STT, TTS, LLM, call logs in one place.

Customize your greeting, prompts, and fallback messages.

Connect your phone number (often via Twilio or the platform’s built-in numbers).

Test by calling your number and refining your conversation flow.

 Pick a platform that supports barge-in so users can interrupt naturally.

2️⃣ Use No-Code Workflow Automation Tools

 let you design call flows without writing code.

 Flexible integration with your existing systems.

Get a telephony provider like Twilio or Telnyx. Buy a number.

Use their Voice API to capture calls and get audio streams.

Integrate STT (e.g., OpenAI Whisper API) to convert caller speech to text.

Add a step in n8n that sends this text to GPT-4o or another LLM to generate a reply.

Send the reply to a TTS service (e.g., ElevenLabs, Azure TTS) to generate audio.

Return the audio to the telephony provider to play back to the caller.

Use n8n to push call logs, transcripts, or lead data into your CRM.

 In n8n, create a workflow with Twilio trigger → STT node → GPT node → TTS node → CRM webhook.

This is the setup demonstrated in the YouTube video you shared. It’s practical and powerful:

 handles the real-time voice loop: STT, TTS, barge-in, low latency.

 controls the logic: memory, API calls, CRM integrations.

Import their starter agent template in n8n.

Customize the system prompt to define your bot’s personality and domain knowledge.

Add steps in n8n for CRM integration (e.g., create lead in HubSpot).

Connect your telephony (Twilio/Telnyx) to Retell to get a live number.

Test by calling your number. Watch logs to fine-tune responses and flow.

 Use Retell’s low-latency mode and barge-in for a more human-like experience.

📚 Find all the Resources, Blueprints, and Community Here 👉 https://www.skool.com/aiworkshop

Sign up for a Free n8n  cloud account!  👉 https://n8n.partnerlinks.io/39tj2ld0gxo6

Sign up for a Free Retell AI account!  👉  https://dashboard.retellai.com/?ref=aiworkshop

Work with us to integrate AI automation into your business 👉 https://aiworkshop.me/contact

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📌 Timestamps:

0:00  Intro
0:56  Demo
5:03  Build Retell Voice Agent
15:58  Setup n8n AI Agent 
23:26  Final thoughts and next steps 

#n8n #voiceai #ai #aiagents #nocode #artificialintelligence #aiautomation #automation #openai #chatgpt #linkedinautomation #n8naiagent #retellai #vapi #n8ntutorial

This AI Voice Agent Can Handle EVERYTHING! (No-Code Tutorial)

 Full customization, optimal latency, no vendor lock-in.

Use Twilio/Telnyx APIs to receive calls and stream audio.

Integrate STT (e.g., OpenAI Whisper, Google STT).

Process text with an LLM (e.g., OpenAI GPT-4, Anthropic Claude).

Convert response to audio with TTS (e.g., ElevenLabs, Azure).

Send audio back via telephony API to play to caller.

Log calls, store transcripts, trigger CRM updates.

 Use websocket streams for low-latency audio exchange.

5️⃣ Use Telephony Provider Studio Flows

Providers like Twilio Studio or Telnyx Call Control offer drag-and-drop flow builders.

 Good for simple call routing + partial automation.

Create a flow with triggers like “Incoming Call.”

Add IVR menus, call forwarding, or webhook calls to your own STT/LLM/TTS services.

 Best for hybrid models (some automation, easy transfer to humans).

What are voice agents + how to build one in under 10 minutes

 is designed for simple, often scripted, question-answer interactions, while an AI 

 is more autonomous, goal-driven, and capable of taking actions, making decisions, or performing tasks on your behalf.

 is a conversational interface designed to simulate human-like interactions through text or voice. It utilizes artificial intelligence, particularly Natural Language Processing (NLP), to understand and respond to user inputs in natural language.

 Its main role is to communicate clearly, answering questions and guiding users through information.

 It uses machine learning models to interpret a wide variety of user questions—even when phrased in different ways.

Blog

Chatbase Review (2025): Key Features, Pricing & Insights

7 Use Cases to delegate to AI Chatbots right now (July 2025 Review)