Instagram Chatbot with ChatGPT
Increase your productivity and take your Instagram communication to the next level. Our Chatbot with ChatGPT technology allows you to maximize customer interaction by centralizing everything on one screen with automated interactions that keep you always in touch.
Automate DM's
Contesta automáticamente todos los mensajes directos, ahorra tiempo a tu equipo de trabajo y atienda a tus clientes con respuestas rápidas
Save your team' time
Comment your customers automatically
Send automated follow-up or thank-you responses to your customers' comments. You can schedule a response time to send messages randomly within that period, making it feel natural
Thank comments with natural responses
Automate history mentions
Increase your brand's reach when fans @mention you in their own stories
Reply to mentions and boost your reach
Comments on Instagram Live
You can automate DM replies to users who comment while you're live on Instagram.
Engage during your live sessions
Centralize conversations
Let your team manage all messages from a centralized screen, including Instagram and other social media platforms
Simplify customer service
ChatGPT Artificial Intelligence
Train ChatGPT to automatically answer questions received during times you’re unavailable—or around the clock
ChatGPT replies anytime, even when you can’t
Response frequently answered questions
Provide answers to frequently asked questions to keep the conversation flowing smoothly
Effortless quick responses
Chat from anywhere
Have a real-time conversation through our app
As mobile as you are
CloudChatbot Service
- Free service WhatsApp conversations
- 1 bot included for WhatsApp or other channel
- Unilimited conversations
- 4 Users (agents)
- 1,000 customers using bots
- Access all functions
Additional Services
OpenAI ChatGPT API
You'll pay based on the number of words received and the number of words generated as a response.
ChatGPT splits words into tokens; for reference, the book To Kill a Mockingbird by Harper Lee has around 100,000 words across 310 pages, which would take about 150,000 tokens.