n8n CRO Analyzer: URL Form → HTTP Fetch → OpenAI Roast

Send a landing page URL—get a CRO “roast” plus 10 actionable improvements

This n8n workflow collects a landing page URL from an n8n form, fetches the page HTML, then uses an OpenAI chat model via an AI Agent to generate a conversion-rate optimization (CRO) roast and 10 tailored CRO recommendations based on what it finds.

What this workflow does

• 1) Receives a URL from an n8n Form: A user submits a landing page URL using the form trigger.
• 2) Fetches the page content: The workflow performs an HTTP GET request to retrieve the submitted page HTML.
• 3) Roasts the page with AI: The retrieved HTML is sent to an AI Agent using an OpenAI chat model with detailed instructions to produce a CRO “roast.”
• 4) Returns CRO recommendations: Along with the analysis, the workflow outputs 10 personalized conversion-rate optimization ideas.

Use cases

• For SaaS operators who want fast feedback on landing pages before running new experiments.
• For automation engineers building a CRO feedback loop inside n8n.
• For growth teams that need structured, on-page improvement suggestions without manual audits.
• For anyone testing different URLs and wanting consistent AI-assisted CRO critique.

Technical details

• n8n Form Trigger (expects the landing page field label: "Landing Page Url")
• HTTP Request to fetch landing page content via HTTP GET
• n8n-nodes-langchainagent (AI Agent) and n8nn8n-nodes-langchainlm OpenAI Chat Model
• OpenAI credentials configured for the chat model set to the “o1” model
• Outputs: AI-generated CRO roast + 10 tailored CRO recommendations

Setup notes

Ensure the HTTP Request step can reach the provided URLs and that the target sites allow direct GET requests/scraping. You can optionally adjust the AI Agent instructions to change roast tone, output structure, or recommendation style.