Make your site an always-on support and sales channel.
GrowBit Convo is an AI website assistant powered by LLMs and grounded in your docs, FAQs, product pages, and approved sales answers. It helps visitors quickly, captures qualified leads, and routes serious buying intent to your team.
Hi there! I'm Maya from GrowBit Convo at GrowBitLabs. How can I help you today?
I am looking for a coding agent for my team of 10 devs.
Sounds like you're looking for a coding agent for your team of 10 developers. We have just that. StemCode is our local-first AI coding agent that works right inside your repo through the terminal, desktop, VS Code, Visual Studio, JetBrains, and CI workflows.
Day-to-day coding help.
Great. For day-to-day coding help, StemCode is a strong fit. Your developers can use it in VS Code, JetBrains, Visual Studio, or the terminal, and it works locally in the repo so they stay in control of what runs.
Managed credit-based access.
Thanks. Since StemCode is pay for coding power, not another seat, one credit package covers your whole team. For 10 developers, Pro or Max is a solid starting point depending on workload. If you want, I can collect an email and pass the demo request to our team.
Would you like me to get that started for you?
Support automation with real lead-generation logic.
This is not a generic chat bubble. GrowBit Convo is a tailored AI support and sales assistant designed around your content, qualification flow, escalation rules, and conversion goals.
Resolve common questions in real time.
Answer product, policy, onboarding, and troubleshooting questions with grounded responses pulled from your approved content.
- FAQ and docs grounding
- Always-on website coverage
- Lower repetitive ticket volume
Capture interest before visitors bounce.
Turn high-intent conversations into structured lead data with contact capture, context from the chat, and a clear next step.
- Name, email, and company capture
- Conversation-aware qualification
- Lead routing to your team
Route qualified buyers to the right people.
When the assistant detects buying intent, pricing questions, or enterprise fit, it can move visitors toward a demo or sales conversation.
- Demo CTA at the right moment
- Intent-based escalation
- Sales-ready summaries
Use the model setup that fits your stack.
Run on hosted providers, private endpoints, or local infrastructure depending on privacy, latency, and cost requirements.
- OpenAI-compatible routing
- Private deployment options
- Model and prompt control
Keep answers aligned with your business.
Train the experience around product pages, docs, pricing guidance, implementation notes, and approved sales messaging.
- Content ingestion pipelines
- Prompt and response guardrails
- Human-reviewed source updates
Measure what the assistant is doing.
Track common intents, unresolved questions, captured leads, and handoff volume so the system improves over time.
- Conversation analytics
- Gap detection
- Support and pipeline reporting
Answers that help visitors and move revenue conversations forward.
The assistant can solve routine questions, spot buying intent, and ask the right follow-up questions before handing the visitor to your sales team.
That means fewer dead-end chats, better support coverage, and a cleaner stream of sales-ready conversations.
Detect requests around plans, demos, enterprise scope, and commercial fit.
Capture team size, workflow, support volume, and deployment needs.
Trigger contact capture and route high-intent chats into your sales process.
Escalate unclear cases to a human instead of bluffing through the answer.
How GrowBitLabs builds the system.
We scope the use case, ground the assistant in the right knowledge, define conversion logic, and launch with the operational controls needed for a public website experience.
Map the customer journey
Define the support topics, qualification questions, and buying signals that matter on your site.
Ground the assistant
Connect docs, FAQs, pricing material, product copy, and approved sales answers to the chat experience.
Launch with guardrails
Set prompts, escalation rules, lead capture logic, and fallback behavior before traffic hits the assistant.
Improve from live conversations
Review chat transcripts, unanswered questions, and lead quality signals to tighten the system over time.
