Roast and optimize landing page conversion copy with OpenAI
Needs changesWhat this workflow does
This AI workflow has 4 nodes and runs when someone submits an n8n form (“Conversion Rate Optimizer”). Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When someone submits an n8n form (“Conversion Rate Optimizer”).
- Fetch Landing Page Content (HTTP Request): calls an HTTP API
- Conversion Rate Analyzer (AI Agent): runs an AI agent, with model: OpenAI Chat Support Model
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 Conversion Rate Analyzer (v1.7): 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) Conversion Rate Analyzer (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (4)
- n8n Form Trigger
n8n-nodes-base.formTrigger - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
From the author
Quick overview This workflow automatically collects a landing page URL through a form, fetches the website content, analyzes it with an OpenAI-powered AI Agent, and returns personalized conversion rate optimization recommendations. How it works 1. Receives a…