Conversational Meta Ads Reporting & Management with GPT-5

This n8n workflow leverages the power of AI agents to provide conversational reporting and management capabilities for Meta Ads. It allows users to interact with their Meta Ads data using natural language, enabling dynamic queries, analysis, and potentially even ad management actions.

What it does

This workflow acts as a sophisticated AI assistant for Meta Ads, offering the following capabilities:

1. Listens for Chat Messages: Initiates when a new chat message is received, likely from a user interacting with the AI assistant.
2. Initializes AI Agent: Sets up a conversational AI agent (powered by LangChain) to process the incoming message.
3. Provides Conversational Memory: The AI agent maintains a simple memory of the conversation, allowing for more coherent and context-aware interactions.
4. Utilizes OpenAI Chat Model: Employs an OpenAI Chat Model (likely GPT-5 based on the directory name) as the core language model for understanding user queries and generating responses.
5. Enables Calculation Tool: Equips the AI agent with a calculator tool, allowing it to perform mathematical operations if required by user queries (e.g., "What's the average CTR?").
6. Integrates with n8n Workflows as Tools: Crucially, the AI agent can call other n8n workflows as tools. This allows it to:
   • Interact with Facebook Graph API: Fetch Meta Ads data (e.g., campaign performance, ad spend, impressions, clicks) to answer reporting questions.
   • Execute Management Actions: Potentially trigger other n8n workflows to perform actions on Meta Ads (e.g., pause a campaign, adjust a budget), although the specific actions are not detailed in this JSON.
7. Processes and Responds: The AI agent processes the user's query, utilizes its tools to gather information or perform actions, and then generates a natural language response.
8. Handles Workflow Execution: The Execute Workflow Trigger node suggests that this workflow can be called as a sub-workflow or tool by another workflow, making it modular and reusable.
9. Manages Data Flow: Uses Merge, Edit Fields (Set), and Switch nodes to efficiently handle and route data within the workflow, ensuring the correct information is passed to and from the AI agent and its tools.

Prerequisites/Requirements

• n8n Instance: A running n8n instance to host and execute the workflow.
• OpenAI API Key: Required for the OpenAI Chat Model to function.
• Facebook Graph API Credentials: Necessary for the Facebook Graph API node to access Meta Ads data.
• LangChain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance.

Setup/Usage

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Credentials:
   • Set up your OpenAI API Key credential for the OpenAI Chat Model node.
   • Set up your Facebook Graph API credential for the Facebook Graph API node.
3. Configure AI Agent: Review the AI Agent node settings, including the prompt and any specific instructions for the agent.
4. Configure Call n8n Workflow Tool: If the Call n8n Workflow Tool is intended to trigger specific Meta Ads management or reporting workflows, ensure those workflows exist and are configured correctly with the necessary parameters for the AI agent to call them.
5. Activate the Workflow: Once configured, activate the workflow to start listening for chat messages.
6. Interact: Begin interacting with the AI agent through the configured chat trigger. You can ask questions like:
   • "What was my ad spend last week?"
   • "How many clicks did Campaign X get yesterday?"
   • "What's the CTR for Ad Set Y?"
   • (Potentially) "Pause Campaign Z." (if management actions are implemented)