Customer Support WhatsApp Bot with Google Docs Knowledge Base and Gemini AI
VerifiedAI WhatsApp bot answers queries using Google Docs and Gemini.
What this workflow does
This workflow connects WhatsApp Business Cloud to an AI Agent that pulls live knowledge from Google Docs and Sheets, generates responses via Google Gemini Chat Model, and uses Simple Memory for ongoing context.
It suits businesses requiring automated, document-based customer support on WhatsApp such as clubs, restaurants, and agencies.
Who is this for?
Customer support teams and small business owners at clubs, restaurants, agencies, or service businesses who handle repetitive client questions on WhatsApp.
What problem it solves
Manually replying to free-form customer questions on WhatsApp is slow and inconsistent when answers live in scattered policies or FAQs. This workflow gives an always-on AI agent live access to a single Google Doc so responses stay accurate without extra staff.
What it automates
Gym rule queries
Member asks 'What are the gym rules?' and the bot instantly pulls the latest policy from the shared Google Doc.
Restaurant hours and menu
Customer messages 'Are you open today?' or 'Vegan options?' and receives current hours or menu details pulled live from the Doc.
Agency service FAQs
Prospect asks about pricing tiers or turnaround times and the agent answers directly from the maintained services document.
How the workflow works
The 7 nodes in this automation, in order.
- 1Google SheetsgoogleSheets
- 2Google DocsgoogleDocs
- 3WhatsApp Business CloudwhatsApp
- 4Codecode
- 5AI Agent@n8n/n8n-nodes-langchain.agent
- 6Simple Memory@n8n/n8n-nodes-langchain.memoryBufferWindow
- 7Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Apps & integrations used
How to set up Customer Support WhatsApp Bot with Google Docs Knowledge Base and Gemini AI
- 1Add WhatsApp Business Cloud trigger node and connect your business number credentials.
- 2Insert Google Docs node to read the knowledge-base document on each incoming message.
- 3Add AI Agent node, attach Google Gemini Chat Model, and enable Simple Memory for conversation context.
- 4Wire the Docs output into the AI Agent prompt so the model references the live content.
- 5Connect Google Sheets node if you want to log every query and reply for review.
- 6Activate the workflow and test with sample WhatsApp messages.
How to customize this workflow
- →Swap Google Gemini Chat Model for any other supported LLM in the AI Agent node.
- →Add a Google Sheets logging step after the AI Agent to track all conversations.
- →Change the trigger from WhatsApp Business Cloud to another messaging node supported in n8n.
- →Insert a filter node before the AI Agent to route only certain message types.
Customer Support WhatsApp Bot with Google Docs Knowledge Base and Gemini AI: pros & cons
Pros
- +Real-time answers from a single maintained Google Doc
- +24/7 availability on WhatsApp without extra staff
- +Simple Memory keeps context across messages
- +Uses only listed n8n nodes and integrations
Cons
- –Requires WhatsApp Business Cloud account and approved number
- –Answer quality depends entirely on how well the Google Doc is written
- –No built-in human hand-off step included
Frequently asked questions
It connects WhatsApp to an AI agent that reads a Google Doc in real time and answers customer questions automatically.
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