# How can businesses use chatbots in marketing? AI chatbots are now an established part of customer communication in online marketing. When used effectively, they can advise website visitors in real time, capture and qualify leads and guide potential customers through to an enquiry or purchase. ### Key Takeaways AI chatbots can advise website visitors, capture leads and support customers, but they contribute to marketing goals only with a clear strategy. The key points: - Chatbot marketing: AI-powered conversational systems engage potential customers and support them at different stages of the customer journey. - How AI chat agents work in marketing: they combine large language models with a company-specific knowledge base. - Areas of application: product advice and website navigation, lead capture and lead qualification, support in the sales process, and customer service and customer retention. - Chatbot marketing strategy: define the objective, identify the target audience, prepare the knowledge base, plan the handover to a human representative, and test conversations and optimise continuously. - Measuring success: response rate, lead conversion rate, Customer Satisfaction Score (CSAT), conversion rate, and handover and resolution rate. Chatbot marketing is most effective when purpose, knowledge base, conversation flows and handover processes are clearly defined. ## What is chatbot marketing? In chatbot marketing, businesses use AI-powered conversational systems to engage potential customers automatically, provide guidance and support them at different stages of the customer journey. A [bot](https://www.ionos.com/en-ie/digitalguide/online-marketing/online-sales/what-is-a-bot/) can answer product questions, recommend relevant content, collect contact details or pass an enquiry on to the sales team. AI chatbots differ considerably from traditional rule-based bots. Rather than relying solely on predefined responses triggered by fixed keywords, AI chat agents can **understand the context of a query** and use LLMs to generate suitable answers in natural language. ## How do AI chat agents work in marketing? AI chat agents typically combine large language models with a company-specific knowledge base. This may include website content, product details, FAQ pages and service information. The [AI agent](https://www.ionos.com/en-ie/digitalguide/websites/web-development/ai-agent/) analyses each query, considers the context of the conversation and generates an appropriate response based on the information available. Depending on the solution, the chatbot can **also carry out specific actions**. For example, it may collect contact details, initiate an appointment booking or pass a complex enquiry to a human representative. This transforms chat from a purely informational channel into an integrated part of marketing and sales processes. ## Areas of application for chatbots in marketing AI chatbots can support businesses at **different stages of the customer journey**. In addition to answering straightforward questions, they can guide users towards relevant offers and initiate further marketing or sales activities. The most suitable applications depend primarily on the company’s objectives and the needs of its target audience. ### Product advice and website navigation Chatbots can help website visitors navigate extensive ranges of products, services or information. They answer specific questions, take users’ stated requirements into account and recommend **relevant products, content or subpages**. This reduces the time spent searching and helps users find the information they need to make a decision more quickly. ### Lead capture and lead qualification When users show interest in an offer, a chatbot can collect contact details and initial information about their enquiry, supporting [lead generation](https://www.ionos.com/en-ie/digitalguide/online-marketing/online-sales/the-first-step-lead-generation/). Targeted follow-up questions can also help assess how serious or specific that interest is during the conversation. One example of a ready-to-use solution is the [IONOS AI Chat Assistant](https://www.ionos.co.uk/momentum/ai-chat-assistant "IONOS AI Chat Assistant"). It can engage website visitors in conversation, collect contact details and prepare enquiries for further processing based on the interests they express. ### Support in the sales process Chatbots can also assist website visitors when they are close to making a purchase. They **answer questions about products, prices, services or availability** and help resolve uncertainty or objections immediately. Depending on the solution, they may also guide users through individual ordering steps, initiate an appointment booking or direct them to the appropriate sales contact. ### Customer service and customer retention In customer service, chatbots provide a **fast and always-available first point of contact**. They can answer recurring questions about orders, services, deliveries or contract terms immediately and in line with consistent guidelines. For individual or more complex issues, the chatbot should be able to transfer the conversation to a human representative together with the relevant context. Fast response times and consistent answers can reduce the workload for support teams while also contributing to a positive customer experience and stronger long-term customer relationships. ## How to develop a chatbot marketing strategy For an AI chatbot to contribute meaningfully to your marketing goals rather than simply answer isolated questions, it requires a **clear strategy**. Before launch, decide who it should engage, which tasks it should handle and when the conversation should be passed to a human team member. 1. **Define the objective and area of use**: Start with a specific, measurable goal. An AI chatbot might generate more consultation enquiries, capture qualified leads, reduce abandoned purchases or shorten customer service response times. The chosen objective determines where the chat should appear and which tasks it should handle. 2. **Identify the target audience and typical conversation scenarios**: Analyse the questions, needs and expectations visitors are likely to have when they arrive on the website. You can then use these insights to develop suitable conversation starters and response paths. 3. **Prepare the knowledge base and tone of voice**: The quality of the chatbot’s responses depends heavily on the information available to it. Product details, prices, services, availability, opening hours and frequently asked questions should therefore be complete, clear and up to date. You should also define how the chatbot addresses users, which terminology it uses and which topics require non-binding or restricted responses. 4. **Plan the handover to a human representative**: Not every enquiry is suitable for automation. Whether an AI chatbot or [live chat](https://www.ionos.com/en-ie/digitalguide/websites/website-creation/live-chat-the-modern-support-solution/) is more appropriate depends on the situation. For complex, individual or sensitive matters, the chatbot should transfer the conversation, together with the information already collected, to an appropriate team member. Users should also be able to clearly recognise that they are interacting with an AI system. [In a 2026 survey](https://www.invoca.com/uk/reports/b2c-buyer-experience-report-2026 "B2C Buyer Experience Report 2026 by Invoca"), 83 per cent of respondents said this transparency was important to them. As of August 2026, the EU AI Act also requires users to be informed when they are interacting with an AI chatbot. 5. **Test conversations and optimise continuously**: Before launch, test the chatbot with a wide range of questions, phrasings and conversation paths. After it goes live, regularly review real conversations to identify gaps and improve its responses. These strategies can be implemented using the [IONOS AI Chat Assistant](https://www.ionos.co.uk/momentum/ai-chat-assistant "IONOS: AI Chat Assistant"). The assistant is added to the website as a chat widget, answers visitors’ questions in real time and is available around the clock. It can also collect contact details and prepare enquiries for further processing based on the information users provide. Because the assistant uses existing website content as its knowledge base and **can be set up without programming skills**, it is particularly suitable for small and medium-sized businesses that want to integrate a chatbot marketing strategy into their existing website operations quickly. ## How can the success of chatbot marketing be measured? You can use a range of metrics to assess whether an AI chatbot is meeting its marketing goals. The most relevant KPIs depend on whether the chatbot is primarily intended to generate leads, support sales or reduce the workload for customer service teams. - **Response rate:** The response rate indicates how many users respond to a displayed chat message or proactive invitation. A low rate may suggest that the conversation opener is too generic, poorly positioned or insufficiently relevant. - **Lead conversion rate:** This metric compares the number of leads captured through the chat with the number of users who interacted with the chatbot. The evaluation should also consider how many of these contacts meet the criteria for a qualified lead. - **Customer Satisfaction Score (CSAT):** A short rating collected after the conversation can be used to measure the CSAT. It indicates how satisfied users were with the chatbot’s responses and the overall conversation. - **Conversion rate:** For sales-focused chats, businesses can track how many users go on to submit an enquiry, book an appointment or complete a purchase. These insights can also support targeted [conversion optimisation](https://www.ionos.com/en-ie/digitalguide/online-marketing/online-sales/what-is-conversion-rate-optimisation/). - **Handover and resolution rate:** The handover rate shows how often the chatbot needs to transfer a conversation to a human representative. The resolution rate measures how many enquiries the AI chat agent resolves without additional support. Tip To keep the results meaningful, businesses should monitor these metrics **over an extended period** and evaluate them by use case, landing page or target audience. Changes to conversation openers, the knowledge base or the position of the chat widget can then be tested systematically. ## How to make chatbot marketing successful AI chatbots in online marketing are most effective when their purpose, knowledge base, conversation flows and handover processes are clearly defined. Businesses should therefore start with a specific use case, choose appropriate metrics and regularly review chatbot conversations. When used strategically, an AI chat agent can go beyond answering questions by capturing qualified leads, supporting purchasing decisions and improving communication with potential customers. This is a markdown version of: [https://www.ionos.com/en-ie/digitalguide/online-marketing/online-sales/how-chatbots-are-revolutionizing-online-marketing/](https://www.ionos.com/en-ie/digitalguide/online-marketing/online-sales/how-chatbots-are-revolutionizing-online-marketing/) for AI/LLM consumption.