WebsiteChat - Ideas on Our Radar
As an AI chat agent platform, WebsiteChat is always evolving – and we’ve been listening to your ideas. In this post, we explore several possible new features inspired by user feedback and internal brainstorming. These aren’t official roadmap items (yet), but rather concepts we’re considering or researching. We invite you to take a peek at what might be on the horizon – and to let us know which you’d love to see next!
Analyzing More Content: Images & New File Formats
One popular suggestion is giving WebsiteChat the ability to understand more than just text. Imagine uploading a document with charts or diagrams and having the chatbot actually see those visuals and answer queries based on that. Today, most chat agents (including ours) focus on text. We’re excited by the prospect of adding eyes to our AI. This could mean asking, “What does this pie chart show?” and getting a meaningful answer instead of an apologetic shrug.
Hand-in-hand with image understanding is support for more file types. Currently, WebsiteChat is great with PDFs and webpages, but your content lives in many forms. From PowerPoint decks and Word docs to Excel spreadsheets, CSV datasets, or Databases – there’s a treasure trove of information beyond PDFs. We’re exploring ways to broaden our file-type palette so you could feed a wider range of documents to your chatbot. Note: This is early in discussion – we want to ensure that if we add new formats, the bot handles them with the same reliability you expect.
Exportable Chat History for Insights
Another idea on our radar: exportable chat transcripts. Some businesses have asked for a way to download their chat agent’s conversation history – whether for compliance audits, analytics, or integration into other systems. We hear you loud and clear.
Why does this matter? For one, industries with regulatory requirements might need to retain communication records. An export feature would give peace of mind that you can always save a copy of what your AI told customers. It also opens the door to deeper analytics – imagine identifying FAQs or trending issues by aggregating chat logs. But there's more to it than just record-keeping. Chat history analysis becomes a goldmine for continuous improvement. By monitoring conversation patterns through analytics tools, you can spot the questions users ask most frequently and identify gaps in your knowledge base. Notice customers repeatedly asking about a specific product feature or policy? That's your cue to add more detailed information or create dedicated content around those topics.
In‑App Chatbot Testing (Try Before You Deploy)
Deploying a new bot can feel a bit like a high-stakes performance – you want everything to go perfectly when it greets real users. Wouldn’t it be nice to test your chatbot in a safe environment before it goes live on your website? We think so too. An in-app chatbot testing sandbox is an idea in early conversation internally. This feature would let you converse with your agent within the WebsiteChat builder interface, simulating user questions and verifying the answers, without exposing the agent to any actual site visitors until it’s ready nor having to embed it in a testing environment to try it out.
We envision a visual “test drive” for WebsiteChat: where you hit a preview button, chat with your AI as if you were a user, and know where to refine the bot’s knowledge immediately. This would streamline the bot-building workflow and boost confidence that your AI is answering correctly. As always, quality is key – any testing tool we add should meaningfully help you catch issues and fine-tune your chatbot’s performance early on.
Prompt Configuration for Knowledge Enhancement
A user recently reached out with an interesting suggestion: the ability to configure prompts to add missing knowledge. We've been thinking about the impact of this feature, and we believe it could be a game-changer for how you manage your chatbot.
Right now, if there's a gap, you'd need to update your documentation or wait for a platform update. This suggested feature would change that entirely.
Do you think this would be useful? We envision letting you add missing knowledge directly through prompt instructions. Spotted your bot giving incomplete answers about your return policy? You could add specific guidance like: "When users ask about returns, always mention our 30-day guarantee, free return shipping, and that exchanges don't count against the return window." Notice customers asking about a new service you just launched? Add it instantly through a prompt rather than rebuilding your knowledge base.
This approach would give you granular control over what your bot knows without requiring technical expertise or lengthy setup processes. Think of it as being able to coach your AI assistant in real-time, filling knowledge gaps as you discover them.
Multilingual Support: Speaking Your Users’ Language
WebsiteChat is currently an English-centric tool, but the internet (and your customer base) speaks many languages. We’re excited about the possibility of multilingual support in the future. What might this look like? Perhaps the chatbot could auto-detect a user’s language and respond accordingly, or you could manually configure multiple language profiles for the bot. In practical terms, a visitor could ask a question in Spanish or French and get an answer in that same language – all while the bot is trained on your content (which might be in English or other languages).
This idea comes straight from user requests. Businesses expanding globally or serving multicultural audiences want their AI assistant to be as versatile as a human representative. It’s a complex challenge (involving translation or multi-language training data), but not impossible – and definitely intriguing. Some state-of-the-art chat solutions highlight multilingual capabilities already which show that polyglot chatbots are not just a fantasy.
For WebsiteChat, we’re exploring what it would take to enable seamless multilingual interactions. There are different angles: auto-detection of the user’s language, a toggle in the chat widget to choose language, and ensuring the AI’s answers stay accurate after translation. It’s early days – we’re gathering information and assessing technical feasibility. But we know one thing: if we get this right, it could be a game-changer for user experience on international sites. No more “Sorry, I only speak English” from your chatbot – it could greet customers with “Hola” or “Bonjour” as needed. 🎉
(Have a language you’d like WebsiteChat to support? Tell us!)
Conclusion: Shaping the Future Together
From giving our chat agent new superpowers (like reading images) to expanding its linguistic repertoire, these ideas represent potential directions for WebsiteChat – all inspired by you, our users. We want to emphasize that these features are being discussed and researched, not officially scheduled for the next release. Our team is carefully evaluating each suggestion for viability, impact, and how it fits with our mission of simple, powerful AI conversations.
What do you think? Which of these ideas excites you the most? Are there other features you feel would take WebsiteChat to the next level? We truly value your input. Feel free to reach out and share your feedback or wish-list.
In the meantime, if you haven’t already, we invite you to try WebsiteChat’s free trial (it’s 15 days, no credit card required!) by visiting websitechat.in. Get a feel for what the current platform can do, and imagine the possibilities of what might come next. Together, let’s shape the future of WebsiteChat – your ideas today could become our features tomorrow. Thank you for being part of the journey, and happy chatting!