This n8n workflow automates the process of analyzing a landing page for conversion rate optimization (CRO). It begins with a user submitting the URL of a landing page through a form trigger. The workflow then scrapes the landing page content using an HTTP request, collecting the webpage data for analysis. An AI-powered agent, based on the LangChain framework, then reviews the scraped content, acting as a CRO expert. It provides a detailed roast of the landing page, highlighting issues in a friendly, unconventional tone, and offers ten specific, impactful recommendations for improving conversions tailored to the page’s content. Additionally, the workflow employs OpenAI’s language model to generate high-quality, actionable insights based on the AI’s analysis. This workflow is particularly useful for digital marketers, CRO specialists, and business owners seeking automated, personalized landing page assessments with strategic improvement tips to increase conversions efficiently.
Conversion Rate Optimization Workflow with AI Analysis
Node Count | 0 – 5 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, formTrigger, httpRequest |
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