Audit & generate JSON-LD schema markup for SEO with GPT-4.1-mini + Gmail
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs when someone submits an n8n form. Along the way it connects Gmail, OpenRouter Chat Model and HTTP Request.
How it runs
Trigger: When someone submits an n8n form.
- Schema Markup Agent (AI Agent): runs an AI agent, with model: OpenRouter; 2 tools (Code, HTTP Request); output parser: Auto-fixing Output Parser
- Send to your email (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Schema Markup Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Schema Markup Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Gmail
n8n-nodes-base.gmail - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Code Tool
@n8n/n8n-nodes-langchain.toolCode - n8n Form Trigger
n8n-nodes-base.formTrigger - Http Request Tool
n8n-nodes-base.httpRequestTool - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
Schema Markup Generator Automatically audit and optimize your site’s JSON-LD structured data and email a step-by-step implementation guide. --- What It Does Collects a website URL & email via form Extracts existing JSON-LD, identifies gaps Generates optimized…