To pass user context into a chatbot, decide what information you really need, store it in your backend, and send only minimal identifiers or attributes on each request. With CustomGPT.ai, use custom_context and Logged-In User Awareness to personalize safely. Scope: […]
You make a chatbot recognize product codes by: defining the exact code formats, detecting codes with regex or entities, validating them against your product catalog or API, and—if you use CustomGPT.ai—feeding it your catalog and passing the detected code into […]
A chatbot can schedule customer calls by connecting it to a calendar tool (like Calendly or HubSpot Meetings), adding a “book meeting” step to your bot flow, collecting key details and qualifications first, then routing qualified visitors to the right […]
To create an AI chatbot for e-commerce that converts, train it on your store content, embed it on high-intent pages like product and cart, and continuously improve its messages, CTAs, and targeting using analytics and A/B testing, ideally with a […]
To improve AI chatbot website conversions, define a clear conversion goal, train the bot on persuasive content, and place it on high-intent pages. With CustomGPT.ai, you can set this up no-code by crawling your site, enabling Lead Capture, and embedding […]
You can use a chatbot to capture leads automatically by showing it on high-intent pages, asking a short sequence of qualification questions, storing contact details, and syncing those leads into your CRM or email tool. With CustomGPT.ai, you can enable […]
To add AI search to a website, choose an AI provider to crawl and index your existing content, then integrate the interface using a Javascript snippet or API. Using a tool like CustomGPT.ai, you can automate this by training an […]
To build a page-aware chatbot, pass page URL/metadata from the browser (or data layer) into the widget, use your platform’s URL targeting rules, and enable Webpage Awareness plus optional custom context in CustomGPT.ai when you embed the agent. Scope: Last […]
A document analysis chatbot lets users upload files and ask questions about them. You build it by combining file uploads, retrieval-augmented generation (RAG), and a chat UI; tools like CustomGPT.ai let you create a document analysis chatbot with no-code setup. […]
To set up internal AI search, define your team’s use cases, choose an architecture (SaaS, chat assistant, or custom RAG), connect and index your internal content with existing permissions, then deploy a secure chat/search interface—such as a CustomGPT.ai agent—into the […]
