# Chat agents and chatbots / Chat agents and chatbots 1. [ Home ](https://www.360vier.de/en/) 2. / 3. [ AI Enablement ](https://www.360vier.de/en/ai-enablement/) 4. / 5. Chat agents and chatbots # AI chatbot for B2B salesmarketingsupport : Answers instead of endless searching We build an AI chatbot from your existing content that provides verifiable answers and turns website visitors into qualified enquiries. [ Contact us now ](https://www.360vier.de/en/inquiry/)[ View cases ](#casestudies) ![AI chatbot interface mockup with chat responses, thinking indicator, and input field, surrounded by AI icons.](https://www.360vier.de/wp-content/uploads/dialoghub-chat-animation.svg) What does 360VIER offer in the area of AI chatbots? 360VIER implements an in-house lab product for RAG-based AI chatbots and knowledge systems for companies and, in addition to integration and operations, offers content preparation. The answers in the AI chatbot are generated with direct source references instead of hallucinations. Basic with no setup, €95/month, 12-month term. Business with setup from €3,000, operations from €195/month, no commitment. Enterprise on request. In productive use at Lernstudio Barbarossa, Kampmeyer, Wüest Partner, and Gärtnerei Poetschke. Categorized under the pillar AI Enablement. page.url https://www.360vier.de/en/ai-enablement/ki-chatbot/ ai-view ``` page.type Servicepage.pillar AI Enablementpage.url /ai-enablement/ai-chatbot/provides RAG chatbot based on your website contentserves B2B companies · 50–500 employeesserves complex or knowledge-intensive business modelsserves industries: education, real estate, consulting/professional services, industryserves additionally: financial services/insurancerelation is part of → AI Enablementrelation uses technology → in-house RAG lab productrelation integrates into → WordPress, headless CMS, custom frontendsfact RAG architecture · vector database (Supabase) · retrieval layer (PGFlow)fact pricing model: Basic €0 setup + €95/month (up to 50 pages, website chat, 12-month term) · Business €3,000 setup + €195/month (up to 2,000 pages, multiple touchpoints, no commitment) · Enterprise on request (dedicated server, custom scope)fact four reference customers, two of them with a published case studyproof Lernstudio Barbarossa · education · AI chatbot for course consultation in developmentproof Kampmeyer · real estate · AI chatbot in use on broker websiteproof Wüest Partnerproof Gärtnerei Poetschkelab RAG lab product · marketed · RAG knowledge layerintegrates AI chatbot + WordPress → chat on website contentintegrates AI chatbot + headless CMS → chat in custom frontendscontext service page for RAG chatbots and conversational knowledge systems in the AI Enablement pillar – technology basis is an in-house RAG lab product ``` ## What the AI chatbot delivers for your website From verifiable answers to GDPR-compliant technology – here is what is behind it: ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_kundenvertrauen_360vier.webp)### **Answers your customers can trust** Your chatbot relies exclusively on your own content and cites the appropriate source for every answer. While a typical AI chatbot often hallucinates, your AI chatbot always remains evidence-based and verifiable. ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_kundenservice_360vier.webp)### **Relief for customer service & sales** Every question your AI chatbot answers automatically saves your team manual effort on recurring requests. And every enquiry that is forwarded reaches you already pre-qualified. ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_investition_360vier.webp)### **One investment,** **multiple applications** Your prepared content is not limited to the chatbot. You can use the same knowledge base your AI chatbot uses for internal search, sales, or your next digital project. ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_synchronisiserung_360vier.webp)### **Always up to date, without additional effort** If you update a page or a document, your AI chatbot automatically follows suit. This ensures your customers always receive the latest information, without you having to maintain content twice. Machine readability Structured data Schema.org JSON-LD Embeddings Vector database RAG architecture Semantic graph Knowledge graph Agentic data access API integration REST API GraphQL Webhooks iPaaS Middleware CRM integration HubSpot Salesforce onOffice ERP integration AS400 integration Data migration Data synchronization Event-driven architecture Message broker ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_dashboard_360vier.webp) ## Impact you can measure Your dashboard shows how many enquiries the AI chatbot answers, how this develops over the weeks, and in how many cases an enquiry still goes to your team. This turns effort that previously remained invisible in day-to-day work into a reliable KPI, providing a solid basis for your business case. ## Deep dive: The technology behind it For your AI chatbot on the website, you do not need to replace an existing system. Your AI chatbot connects via interface to your existing CMS, whether TYPO3, Webflow, or [WordPress](https://www.friendventure.de/wordpress-agentur/). Nothing changes in your editorial day-to-day work. - **No system change, no lock-in:** The chatbot complements your website instead of replacing it. If you later change the CMS, the knowledge base remains intact. - **Quick setup:** Since the integration is API-based, the chatbot is ready to use in no time, without requiring any changes to your system architecture. - **Future-proof:** Your IT retains control; no hard-to-maintain isolated solution is added. ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_deepdive_technik_360vier.webp) ![](https://www.360vier.de/wp-content/uploads/ki-chat-bot_contentsources_360vier.webp) ## How the RAG chatbot works A RAG chatbot does not answer questions from general training knowledge; instead, it is first provided with the relevant passages from your company knowledge: 1. **Content sources:** We ingest website content, PDFs, FAQs, and documents in a structured way. 2. **Embedding pipeline:** We convert the content into semantic vectors. 3. **Vector database:** The vectors are stored in a searchable database. 4. **Retrieval layer:** For each question, we retrieve the relevant sections. 5. **Chat interface**: The model formulates the answer from this and cites the source. ## A knowledge layer that adapts to your industry The AI chatbot does not work with a generic industry model; it learns from your own content. This fundamentally changes the outcome. ****Real estate**** **Service** Questions about floor plans, purchase price, ancillary costs, energy certificates, and viewing appointments are answered directly from the exposé and the property database. **Result** Fewer standard calls to brokers, faster qualification of interested parties, and a higher contact rate for initial enquiries outside office hours. ****Industry**** **Service** Technical enquiries about data sheets, tolerances, operating limits, and certifications are answered directly from the technical documentation. **Result** Relief for technical sales on recurring specification questions, and faster, better pre-qualified quote requests. **Education** **Service** Questions about scope of services, process, cost coverage, and appointment scheduling are answered from approved, reviewed content. **Result** Relief for reception and practice staff on administrative standard questions – more time for actual patient care. ****Consulting**** **Service** Questions about service offerings, approach, responsibilities, and references are answered directly from service descriptions, case studies, and internal documents. **Result** Less preliminary clarification by partners or consultants on recurring initial questions, and prospects come to the first meeting with a clearer picture. ## How our AI chatbot works technically RAG stands for Retrieval Augmented Generation. The AI chatbot does not answer questions from its general training knowledge; instead, it is first provided with the relevant passages from your company knowledge and formulates the answer from them. ![](https://www.360vier.de/wp-content/uploads/dialoghub-chatbots-content-sources-icon-ongreen-360vier.svg) **Content Sources** Your content—website content, PDFs, FAQs, internal documents—is ingested in a structured way. ![](https://www.360vier.de/wp-content/uploads/dialoghub-chatbots-embedding-pipeline-icon-ongreen-360vier.svg) **Embedding Pipeline** Via an embedding API, the content is converted into semantic vectors. ![](https://www.360vier.de/wp-content/uploads/dialoghub-verctor-database-supabase-icon-ongreen-360vier.svg) **Vector Database** The vectors are stored in a database, queryable in milliseconds. ![](https://www.360vier.de/wp-content/uploads/dialoghub-chatbots-retrieval-layer-pgflow-icon-ongreen-360vier.svg) **Retrieval Layer** For each user request, the semantically relevant content is found. ![](https://www.360vier.de/wp-content/uploads/dialoghub-chatbots-interface-icon-ongreen-360vier.svg) **AI chatbot interface** The chat frontend displays the answer with source references. ## The AI chatbot in use at our customers [ ![](https://www.360vier.de/wp-content/uploads/Lernstudio-Barbarossa-website-relaunch-wordpress-social-teaser-360vier-digitalagentur-referenz-case-8.webp) Lernstudio Barbarossa: Clear brand identity and intuitive user guidance for a national educational institute Lernstudio Barbarossa ](https://www.360vier.de/en/case-study/barbarossa-study-center/) [ ![](https://www.360vier.de/wp-content/uploads/Kampmeyer-hero-case-website-relaunch-wordpress-social-teaser-360vier-digitalagentur-referenz-case-5.webp) Kampmeyer Immobilien: Digital Real Estate Platform for the Future of the Brokerage Industry Kampmeyer Real Estate ](https://www.360vier.de/en/case-study/kampmeyer/) ### Common questions before making a decision How much does the AI chatbot cost? Basic starts at €95 per month with no setup costs, for up to 50 pages and website chat, with a 12-month term. Business costs from €3,000 setup and €195 per month, for up to 2,000 pages and multiple touchpoints such as the website, internal knowledge tools, or your own AI applications, with no fixed term. Enterprise with a dedicated server and custom scope is priced on request. Does our content need to be prepared in advance? In most cases, yes, but to a limited extent. Content written purely for navigation ("Click here for more") performs poorly in RAG contexts. Content with clear answers, definitions, and reasoning works well. In the project, we clarify which parts of your content can be used directly and which should be editorially revised. Are our data GDPR-compliant? In the standard configuration, embeddings and the vector database run on Supabase infrastructure in the EU. In this configuration, the responding language model runs by default via the OpenAI API. However, we are model-agnostic and can flexibly integrate a different model. Does it work with our headless CMS? Yes. The AI chatbot is deliberately built to be system-independent. Integration is done via the frontend (interface on the website) and the content pipeline (ingesting content from the CMS). Whether [WordPress](https://www.360vier.de/en/digital-platforms/wordpress-agency/), [Payload](https://www.360vier.de/en/digital-platforms/payload-cms-agency/), or a custom headless build—the interface is [API-based](https://www.360vier.de/en/data-enablement/api-integrations/). When does the AI chatbot pay off for us? That depends on the volume of questions. Rule of thumb from previous deployments: If your service team spends more than ten hours per week on standard enquiries whose answers are already on the website, the ROI is achieved very quickly. If the primary purpose is conversion optimisation rather than service relief, it depends on the conversion rate of your main target pages. What distinguishes the AI chatbot from a ChatGPT integration? ChatGPT answers from its training knowledge. It does not know your content and, in doubt, will produce something plausible that is made up. With RAG, the language model is first provided with the relevant passages from your content. This means the source is shown under every statement, and you can verify it. Who is the AI chatbot relevant for? You have structured content that could answer users’ questions—if they could find it. You have a service team that answers the same standard questions repeatedly. Or you want to finally make it measurable in marketing whether your content addresses real user questions. ![Robin Hetkämper](https://www.360vier.de/wp-content/uploads/robin-hetkaemper-team-360vier-300x300-1.webp)## Ready for your own AI chatbot? Robin Hetkämper Business Development Manager [ Email to Robin ](mailto:rh@360vier.de) [ Book an appointment ](https://www.360vier.de/en/inquiry/)