13 Website Chatbot Examples From Top Brands (2026)
Most businesses know they need a chatbot on their website. The harder question is what it should actually look like and do. Should it greet visitors with a question? Offer product recommendations? Handle support tickets?
The best way to answer that is to look at real website chatbot examples from brands that are getting it right. We analyzed 13 AI chatbot examples across customer support, e-commerce, lead generation, and more. Each example includes what the chatbot does, why it works, and the key takeaway you can apply to your own site.
For a broader comparison of chatbot platforms, see our roundup of the best website chatbot options. If you're ready to build one, jump to our guide on how to create a chatbot.
Here are the best chatbot examples organized by use case:
| Brand | Industry | Chatbot Type | What It Does Well |
|---|---|---|---|
| Klarna | Fintech | AI Support Agent | Resolves issues in 2 minutes vs. 11 with humans |
| KLM BlueBot | Airlines | Customer Support | Handles 10,000+ conversations daily |
| HubSpot | SaaS | Support + Sales | Combines help docs with lead qualification |
| Sephora | Beauty Retail | Virtual Artist | AR-powered product try-on |
| LEGO Ralph | Toys | Gift Finder | Guided product recommendations |
| H&M | Fashion | Style Assistant | Outfit recommendations by preference |
| Domino's Dom | Food Delivery | Order Bot | Full ordering through chat |
| Intercom Fin | SaaS | AI Support Agent | Resolution-focused with knowledge base |
| Shopify Help | E-commerce Platform | Knowledge Base | AI-powered help center search |
| Denser.ai | AI/SaaS | Knowledge Base Bot | Trains on your website content automatically |
| Ada Health | Healthcare | Symptom Checker | AI-powered medical assessment |
| Bank of America Erica | Banking | Financial Assistant | 2 billion+ interactions since launch |
| Target Store Companion | Retail | Internal Ops | Employee training and policy support |
Customer Support Chatbot Examples#
Customer support remains the most common chatbot use case. These chatbot examples for customer service show how leading brands handle high volumes of repetitive questions while keeping satisfaction scores high.
1. Klarna AI Assistant#
Klarna, the Swedish fintech company, built an AI assistant in collaboration with OpenAI to manage customer service at scale. The chatbot handles refunds, returns, payment issues, and invoice discrepancies directly through chat.
What makes it effective: Klarna's bot resolves issues in under two minutes, compared to 11 minutes with human agents. It supports 35 languages across 23 countries and handles two-thirds of all customer inquiries without human involvement.
Key takeaway: A well-trained AI chatbot can handle the majority of support volume. The key is connecting it to your actual business systems (orders, payments, accounts) so it can take action, not just answer questions. If you're receiving repetitive inquiries, a customer service chatbot can cut resolution time dramatically.
2. KLM Royal Dutch Airlines, BlueBot#
KLM introduced BlueBot (BB) to manage growing customer inquiries across its website, Facebook Messenger, Twitter, and WhatsApp. The chatbot assists with booking flights, delivering boarding passes, answering FAQs, and providing real-time flight status updates.
BlueBot handles up to 10,000 conversations per day. Human agents focus on complex rebooking situations and complaints that require personal attention.
Key takeaway: High-volume industries like travel benefit most from chatbots that handle the predictable questions (flight status, baggage policy, check-in times) and route everything else to humans. The chatbot becomes a filter, not a replacement.
3. HubSpot#
HubSpot uses its own chatbot builder across its website for both customer support and lead qualification. The bot appears on pricing pages, help docs, and product pages with different conversation flows depending on the context.
On support pages, it searches the knowledge base and returns relevant help articles. On product pages, it qualifies visitors by asking about team size, goals, and timeline before routing them to sales.
Key takeaway: Your chatbot doesn't need to do one thing everywhere. Use different conversation flows for different pages. Support-focused on help pages, sales-focused on pricing pages. This is how smart lead generation chatbots work in practice.
E-commerce and Sales Chatbot Examples#
The best chatbot examples for e-commerce go beyond answering questions. These bots actively help visitors find products, make purchase decisions, and complete orders.
4. Sephora Virtual Artist#
Sephora implemented AI chatbots to personalize the online shopping experience. The Virtual Artist, built with ModiFace, uses augmented reality to let customers try makeup products virtually. Users upload a photo or use their camera to see how different products look on their face in real time.
Beyond AR try-on, Sephora's chatbot handles product recommendations based on skin type, preferences, and past purchases. It turns browsing into a guided shopping experience.
Key takeaway: The strongest e-commerce chatbots reduce decision fatigue. Instead of browsing hundreds of products, customers answer a few questions and get personalized suggestions. If your store has a large catalog, a chatbot that narrows choices beats better search filters every time.
5. LEGO Ralph#
LEGO created Ralph, an AI chatbot designed to help shoppers find the right LEGO set, especially during the holiday season. Ralph asks simple questions: Who is the gift for? What age? What are their interests (superheroes, vehicles, animals)? What's the budget?
Based on the answers, Ralph suggests matching LEGO sets with images and purchase links. Originally deployed through Facebook Messenger, the conversational approach drove higher engagement than static product grids.
Key takeaway: Gift-finding chatbots work because they replicate the experience of asking a knowledgeable store employee for help. If your products require any kind of matching (size, compatibility, preference), a guided recommendation bot can increase conversion rates significantly.
6. H&M Style Assistant#
H&M deployed a chatbot that acts as a personal stylist. Visitors answer questions about their style preferences, occasions they're shopping for, and favorite looks. The bot responds with outfit recommendations pulled from H&M's current inventory.
The chatbot also handles common support questions about sizing, returns, and order tracking, combining sales assistance with customer service in one interface.
Key takeaway: Fashion and apparel chatbots work best when they combine product discovery with practical support. A visitor might start asking about outfit ideas and end up checking their order status. Let the bot handle both without forcing the user to switch channels.
7. Domino's Dom#
Domino's built Dom, a chatbot that lets customers place full pizza orders through conversation. Customers can reorder their favorites, customize new pizzas, track deliveries, and find deals, all without leaving the chat interface.
Dom works across Domino's website, mobile app, and several messaging platforms. The bot integrates directly with the ordering system, so everything from customization to payment happens within the conversation.
Key takeaway: If your product has a straightforward ordering process, letting customers complete the entire purchase through chat removes friction. The fewer screens between "I want this" and "order confirmed," the better your conversion rate.
Lead Generation Chatbot Examples#
These chatbot examples for lead generation focus on capturing and qualifying leads through conversation instead of static forms.
8. Intercom Fin#
Intercom's Fin is an AI agent that combines customer support with lead qualification. On the support side, Fin resolves questions using the company's knowledge base, help docs, and past conversation data. On the sales side, it identifies buying signals and routes high-intent visitors to the sales team.
Fin's resolution-first approach means it tries to answer the question before asking the visitor to fill out any forms. This builds trust and results in higher-quality lead captures.
Key takeaway: The most effective lead generation happens when the chatbot helps first and sells second. Answer the visitor's question, then ask if they'd like to learn more. This approach converts better than leading with qualification questions.
AI-Powered Knowledge Base Chatbots#
These chatbots are trained on specific content, such as help docs, product pages, or internal wikis, and retrieve accurate answers with source citations.
9. Shopify Help Center#
Shopify's help center uses an AI chatbot that searches across their entire documentation library. Merchants type questions in natural language ("how do I set up shipping rates for Canada?") and get relevant answers pulled from Shopify's help docs, community forums, and developer documentation.
The chatbot understands context, so follow-up questions work naturally. If it can't resolve the issue, it creates a support ticket with the conversation history attached.
Key takeaway: If you have extensive documentation, an AI chatbot that searches your content is more effective than a traditional search bar. Users ask questions in their own words instead of guessing the right keywords. This is exactly what an AI chatbot for website does well.
10. Denser.ai#
Denser.ai takes the knowledge base chatbot approach and makes it accessible to any business. You provide your website URL, and the platform crawls your pages, indexes the content, and builds a chatbot that answers visitor questions using your actual data.
Every response includes source citations so visitors can verify answers. The chatbot supports over 80 languages, works with PDFs and documents beyond just web pages, and includes human handoff when the AI can't answer.
Denser.ai offers a free plan that includes one chatbot, 20 queries per month, and up to 100 webpages or 50MB of document storage. No credit card required. Paid plans start at $29/month for higher limits and custom branding.
Key takeaway: You don't need a development team to build a knowledge base chatbot. Platforms like Denser.ai let you deploy one trained on your own content in minutes. The combination of AI-powered answers and source citations builds visitor trust without requiring manual FAQ maintenance.
11. Ada Health#
Ada Health is an AI-powered symptom assessment chatbot used by millions worldwide. Users describe their symptoms through a conversational interface, and Ada asks follow-up questions to narrow down potential conditions.
The chatbot uses a vast medical knowledge base and clinical algorithms to suggest possible conditions and recommend whether to seek professional care. It doesn't replace doctors, but it helps users make informed decisions about when and where to get help.
Key takeaway: Knowledge base chatbots work in specialized fields when they're built on authoritative data and clearly communicate their limitations. Ada succeeds because it guides users through a structured assessment rather than giving open-ended medical advice. For industry-specific chatbots, see our healthcare chatbot solution.
Industry-Specific Chatbots#
Some chatbots serve unique purposes beyond standard customer support or sales.
12. Bank of America, Erica#
Bank of America launched Erica in 2018, and it has since handled over 2 billion interactions. Erica helps users check balances, transfer funds, track spending habits, and receive proactive financial insights through the bank's mobile app.
What sets Erica apart is proactive engagement. It notifies users about potential savings opportunities, unusual spending patterns, and upcoming bills. It also supports Merrill Lynch clients with investment-related queries.
Key takeaway: The best chatbots don't just wait for questions. They proactively surface useful information based on user behavior. If your business has data about customer activity (purchases, usage patterns, account status), your chatbot can deliver insights before the customer even asks.
13. Target Store Companion#
Target introduced Store Companion, a generative AI chatbot for internal use. The chatbot helps store employees with daily operations: answering questions about company policies, explaining the Target Circle rewards program, and troubleshooting issues like restarting a cash register after a power outage.
By providing instant answers on company devices, Store Companion reduces the time employees spend searching for information or waiting for a manager.
Key takeaway: Chatbots aren't just for customers. An internal chatbot trained on company policies, procedures, and product information can help employees get answers faster. This is especially valuable for retail, hospitality, and any business with a large frontline workforce.
What Makes a Great Website Chatbot?#
After reviewing these 13 examples, several patterns emerge. The chatbots that deliver real results share these characteristics:
Purpose clarity. Each chatbot does one or two things well rather than trying to handle everything. Klarna focuses on support resolution. LEGO Ralph focuses on gift recommendations. Define your chatbot's primary job before building it.
Fast, relevant responses. Chatbots reduce customer service costs by up to 30%, but only when they actually resolve questions quickly. Average chatbot response time is under 5 seconds compared to 10+ minutes for human agents. Speed matters.
Personality that matches the brand. LEGO's Ralph is playful and fun. Bank of America's Erica is professional and precise. Your chatbot's tone should match how your brand communicates everywhere else.
Clear escalation to humans. Every successful chatbot knows when to hand off. Chatbots can handle 60-80% of routine queries, but forcing users through an AI loop when they need a human creates frustration. Build in clear escalation paths.
Mobile-friendly design. More than half of website traffic comes from mobile devices. Your chatbot widget needs to work well on small screens with tap-friendly buttons and short message bubbles.
If you're ready to build your own, an AI chatbot builder can help you get started without coding.
Common Chatbot Design Mistakes to Avoid#
Not every chatbot implementation succeeds. These chatbot design examples show what to avoid:
No human handoff option. Chatbots that trap users in endless loops with no way to reach a person create more frustration than they solve. Always include a clear path to human support.
Overly scripted conversations. Rule-based bots with rigid decision trees frustrate users who phrase questions differently than expected. AI-powered chatbots that understand intent handle the variety of real user language much better.
Ignoring mobile users. A chatbot that works perfectly on desktop but covers the entire screen on mobile (or has tiny tap targets) will get closed immediately. Test on mobile first.
No brand alignment. A chatbot with a generic, robotic tone on an otherwise warm and friendly website feels disconnected. Match the chatbot's personality to your brand voice.
Trying to do everything at launch. Start with one clear use case (support, sales, or lead gen), get it working well, and then expand. The brands in this article didn't build their chatbots overnight.
Build Your Own Website Chatbot#
These website chatbot examples show what's possible. Building your own is the next step. Here's how to get started:
- Pick your primary use case. Based on the categories above, decide whether your chatbot should focus on support, sales, lead capture, or knowledge retrieval.
- Choose a platform. You can build from scratch or use a no-code platform. Denser.ai lets you create a chatbot trained on your website content in minutes with no coding required.
- Train on your data. Upload your help docs, product pages, or FAQs. The chatbot's quality depends directly on the quality of your training data.
- Test and refine. Launch with a small audience, review chat logs, and improve responses before rolling out widely.
- Deploy and extend. Start with your website, then consider adding your chatbot to Slack, Shopify, or other channels where your customers are active.
For a step-by-step walkthrough, see our guide on how to integrate AI in your website. If budget is a concern, check out free chatbot options that let you test without commitment.
Start building your chatbot for free or schedule a demo to see how Denser.ai works with your content.
FAQs About AI Chatbot Examples#
What is a website chatbot?#
A website chatbot is an AI-powered or rule-based tool embedded on a website that communicates with visitors through text conversation. It can answer questions, recommend products, capture leads, or route inquiries to human agents. The examples in this article range from simple FAQ bots to AI assistants handling millions of interactions monthly.
What is the most successful chatbot?#
By scale, Bank of America's Erica leads with over 2 billion interactions since 2018. By efficiency, Klarna's AI assistant resolves support issues in 2 minutes compared to 11 minutes with human agents. For e-commerce, Sephora's Virtual Artist drives conversions through AR product try-on. The "most successful" depends on your definition and industry.
How do I add a chatbot to my website?#
Most chatbot platforms provide an embed code you paste into your website's HTML. With Denser.ai, you enter your website URL, the platform crawls your content, and you get a working chatbot with a single code snippet. For detailed instructions across WordPress, Shopify, and custom sites, see our guide on how to integrate AI in your website.
Are website chatbots worth the investment?#
Yes, when implemented well. Chatbots reduce customer service costs by up to 30%, respond in under 5 seconds versus 10+ minutes for human agents, and 69% of consumers prefer chatbots for quick communication. The key is matching the chatbot to a clear use case rather than deploying one without a strategy.
What makes a chatbot effective?#
Effective chatbots share five traits: they solve a specific problem well, respond quickly with relevant answers, match the brand's personality, escalate to humans when needed, and work smoothly on mobile devices. The most important factor is training quality. A chatbot trained on comprehensive, accurate content will outperform one built on thin or outdated information.
Can small businesses use website chatbots?#
Absolutely. Platforms like Denser.ai offer a free plan that includes an AI chatbot trained on your website content. You don't need a development team or a large budget to get started. Small businesses with 10-20 visitor questions per day often see the biggest relative impact from adding a chatbot, since it frees up time that would otherwise go to repetitive email replies.
How much does a website chatbot cost?#
Costs range from free to hundreds per month depending on conversation volume and features. Many platforms offer free tiers for testing. Denser.ai's free plan includes 20 queries per month. Paid plans typically start between $29 and $50 per month, which is less than an hour of a support agent's time. See our chatbot pricing guide for a full breakdown.