Best 6 AI Chatbots for 2024
Let these AI tools take over client conversations for you.
Written by
Last updated
Lili Marocsik
June 17th, 2024
Place an AI chatbot on your website to help:
Qualify leads
Book meetings
Create support tickets
by sending a series of questions and automated responses to your website visitors.
Use the AI chat automation to gather initial information about the visitor before you or a member of your team takes over the conversation.
With a bit of coding skills, you can also integrate ChatGPT on your website, check out the instructions below.
Also, our review contains a few affiliate marketing links. If you purchase any of the tools, we might receive a small commission.
Lili
who calls ChatGPT her “new best friend”.
Spoiler Alert
Hubspot, chatfuel, and ManyChat offer good AI chatbots for automating communication with swift onboarding and straightforward setup. Chatfuel and ManyChat are more focusing on social media and WhatsApp, but chatfuel has also launched a webchat widget now.
The free plan will likely not be enough for long-term use. For instance, ManyChat restricts comments to specific posts on Facebook, rather than all posts. On the other hand, Dialogflow and Watsonx.ai cater exclusively to enterprises, offering more intricate onboarding and usage processes.
Integrating ChatGPT and all other LLMs requires the expertise of a developer, which is why we rated it so low. Most likely, you will prefer to get a ready-made tool and don’t want to invest much time. If you are great with code, go for it and ignore the one star for setup.
Also, for this AI chatbot comparison, we focused on tools with message automation as a standalone feature. Check out our Large Language model section for more details on that.
Best AI Chatbots of the Day: Our Recommendations
AI Chat Automation Tools Comparison
Text to Image Generation for Beginners: 6 Tips for Better Prompting
Your blueprint for every image prompt should include specific elements such as:
Style + Subject
For more specific requests
+ Background + Color Palette + Additional Elements
Example Structure : Style: "realistic", Subject: "a golden retriever", Background: "in a sunny park", Color Palette: "warm and vibrant", Additional Elements: "with soft shadows and a bright blue sky"
Example Prompt: "Create a realistic image of a golden retriever in a sunny park, using a warm and vibrant color palette, with soft shadows and a bright blue sky."
Consider composition: Mention foreground, perspective, and positioning of elements. Many tools struggle with perspective, we found Flux AI to do this better than most tools.
Include artistic style references: Specify art movements, techniques, or artist names for inspiration. For example add "Bauhaus" instead of only broader styles such as animation or photorealistic.
Recreate styles: If you want to recreate Dall E-generated images, ask for the unique generation ID. For Midjourney this is called sref (style reference).
Recreate characters: To create consitent characters throughout various prompts, you can use the "character consistency feature" of MidJourney.
Prioritize important elements: List the most crucial aspects of your image first.
Now also with web chat function!
1
CHATFUEL
Setup/Onboarding
5
User Experience
4
Tool Performance
5
Use Cases
E-commerce businesses can automate their lead generation, cross and upselling on whatsapp, messenger and instagram.
Support
Chatbot
Key Features
- AI-Powered Assistance
- Interactive Text & Buttons
- Animated Product Images
- Customer Response Storage
- Flow Redirection & Routing
- Live Chat Support
- No Sign-In Required
- Lead Integration with ChatGPT
- Automated messaging to cart abandoners
- Chat support
- Customisable surveys
- Drip campaigns
- Personalised messaging
Pros & Cons
Pros:
- Good value for money
- Good performance
Cons:
- Signup only possible with FB account
- Whatsapp business required
Price Point
Interview with Fedor Pak, CEO of chatfuel:
Do you have any tips, tricks or hacks regarding the use of AI?
Recognize the potential of AI and consider it like a young, inexperienced, yet brilliant employee who can significantly enhance or even replace your entire team. Don't set high expectations immediately, and start utilizing it as soon as possible in areas where it can already be beneficial.
2
HUBSPOT
Setup/Onboarding
4
User Experience
3
Tool Performance
5
Use Cases
This easy to implement chatbot helps qualifying leads, book meetings or create support tickets.
Support
Chatbot on website
Key Features
- Lead qualification
- Customer support
- Appointment scheduling
- Intelligent responses
- Customisation
Pros & Cons
Pros:
- Easy implementation
- All-in-one solution
Cons:
- Chat interface could look more appealing
Price Point
3
MANYCHAT
Setup/Onboarding
4
User Experience
4
Tool Performance
4
Use Cases
Great for all businesses, a seamless chatbot experience across websites, facebook, instagram, whatsapp, telegram and SMS.
Support
Help Center, ManyChat Community
Key Features
- Flow Builder
- Multi-channel integration
- Contact management
- Broadcasts
- Analytics
Pros & Cons
Pros:
- Decent performance
Cons:
- Limited support options
Price Point
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Powerful LLM hacks from AI CEOs Fedor Pak from Chatfuel, Krish Ramineni from Fireflies.AI and many more
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4
Dialogflow (by Google)
Setup/Onboarding
4
User Experience
4
Tool Performance
4
Use Cases
The chatbot of Dialogflow can streamline customer support by providing quick and accurate responses, freeing up human agents to handle more complex issues.
Support
Contact form
Key Features
- Intent recognition
- Contextual understanding
- Voice applications
- Integration with CRM
Pros & Cons
Pros:
- Generous free starter kit
Cons:
- No signup with gmail address
- Credit card required for trial
Price Point
5
Watsonx.ai
Setup/Onboarding
1
User Experience
3
Tool Performance
5
Use Cases
Clients can train, validate, tune & deploy generative AI, foundation models, and machine learning for many use cases such as customer satisfaction surveys or automation of repetitive tasks.
Support
Very responsive email contact
Key Features
- Orchestration pipelines
- Decision optimization
- Visual modeling
- Automated development
- Synthetic data generator
Pros & Cons
Pros:
- Wide range of use cases
Cons:
- For enterprises only
- No signup with gmail address
Price Point
Check out our step-by-step guide below on how to integrate ChatGPT as a chatbot on your website!
6
ChatGPT
Setup/Onboarding
1
User Experience
3
Tool Performance
4
Use Cases
Requires a developer to integrate ChatGPT as a chatbot on a website, requires HTML, Java or web development tools.
Support
Help Center & FAQ
Key Features
- Personalised responses
- Instant answers
- Personalised recommendations
- Context recognition
- Multitasking
- Natural language processing capabilities
Pros & Cons
Pros:
- Advance tool with many data points and info
Cons:
- Developer required to set up as chatbot
Price Point
Continue reading:
Best (Free) AI TEXT GENERATORS - Extensive comparison with 19 (!) tools
The best 5 AI VIDEO GENERATORS in 2024
The ultimate LLM (LARGE LANGUAGE MODEL) comparison with lots of tricks and tips
A Guide to Integrating ChatGPT as a Chatbot on Your Website
Step 1: Get Access to the API
To begin, you'll need access to the chatbots API. You can obtain this access by signing up for an API key from OpenAI. This key will enable you to connect your website to the chat model.
Step 2: Set Up Your Server
Next, you'll need a server to connect to the API. Depending on your web development preferences, you can use technologies like Node.js, Python, or PHP. This server will facilitate communication between your website and the chat model.
Check out our FULL LLM REVIEW
Step 3: Connect to the API
In your server-side code, establish a connection to the chatbot API using your API key. This important step allows your website to communicate with the ChatGPT model and send user queries for processing.
Step 4: Implement the Chatbot Interface
On the front end of your website, create a user-friendly chatbot interface. This can take the form of a chat window or widget that users can interact with. The design should match your website's aesthetics.
Step 5: Send User Queries to the API
When users interact with the chatbot on your website, their queries and messages are sent to your server. Your server, in turn, forwards these messages to the ChatGPT API for processing. This interaction enables the chatbot to understand and respond to user inquiries.
Step 6: Receive and Display Responses
Once the ChatGPT API processes a user's query, it generates a response. Your server should receive this response and send it back to the user interface on your website. Display the response in the chat window, ensuring a seamless user experience.
Step 7: Configure Behavior
Customize your chatbot's behaviour by adjusting parameters such as message length, tone, and more. These settings can be configured through the API to align with your website's goals and user preferences.
Step 8: Testing and Optimization
Before deploying the chatbot on your live website, conduct thorough testing to ensure it functions correctly. Optimize its responses based on user feedback, refining its ability to provide valuable information and support.
Extra tip:
Don’t worry about sounding professional—sound like you. There are over 1.5 billion websites out there, but your story is what will separate this one from the rest. If you read the words back and don’t hear your own voice in your head, that’s a good sign that you still have more work to do.
Be clear, be confident and don’t overthink it. The beauty of your story is that it’s going to continue to evolve and your site can evolve with it. Your goal should be to make it feel right for right now. Later will take care of itself. It always does.