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Landing page analyzing agent

Rakin JakariaRakin Jakaria
807 views
2/3/2026
Google SheetsAutomationData SyncSalesforceCRM
Official Page

Use Cases Analyze e-commerce product pages for conversion optimization, audit SaaS landing pages for signup improvements, or evaluate marketing campaign pages for better lead generation.

Good to know

  • At time of writing, Google Gemini API calls have usage costs. See Google AI Pricing for current rates.
  • The workflow analyzes publicly accessible pages only - pages behind login walls or with restricted access won't work.
  • Analysis quality depends on page content structure - heavily image-based pages may receive limited text-based recommendations.

How it works

  • User submits a landing page URL through the form trigger interface.
  • The HTTP Request node fetches the complete HTML content from the target landing page.
  • Content is converted from HTML to markdown format for cleaner AI processing and better text extraction.
  • Google Gemini 2.5 Flash analyzes the page using expert CRO knowledge and 2024 conversion best practices.
  • The AI generates specific, actionable recommendations based on actual page content rather than generic advice.
  • Information Extractor processes the analysis into 5 prioritized improvement tips with relevant visual indicators.
  • Results are delivered through a completion form showing concrete steps to improve conversion rates.

How to use

  • The form trigger is configured for direct URL submission but can be replaced with webhook triggers for integration into existing websites or apps.
  • Multiple pages can be analyzed sequentially, though each requires a separate workflow execution.
  • Recommendations focus on high-impact changes that don't require heavy development work.

Requirements

  • Google Gemini (PaLM) API account for AI-powered analysis
  • Publicly accessible landing pages for analysis
  • N8N instance with proper webhook configuration

Customizing this workflow

  • CRO analysis can be tailored for specific industries by modifying the AI system prompt - try focusing on e-commerce checkout flows, SaaS trial conversions, or local business lead capture forms.
  • Add competitive analysis by incorporating multiple URL inputs and comparative recommendations.

n8n Landing Page Analyzing Agent

This n8n workflow acts as an intelligent agent to analyze landing page content submitted via a form. It leverages AI to extract key information and provide a structured summary, making it easier to process and understand landing page data.

What it does

This workflow automates the analysis of landing page content through the following steps:

  1. Receives Landing Page URL: It starts by presenting an n8n form where a user can submit a landing page URL.
  2. Fetches Landing Page Content: An HTTP Request node then fetches the content of the submitted URL.
  3. Extracts Key Information: An AI Agent, powered by a Google Gemini Chat Model, is used to extract structured information from the fetched landing page content. This agent is configured as an "Information Extractor".
  4. Formats Output: The extracted information is then formatted into a readable Markdown output.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Gemini API Key: Credentials for the Google Gemini Chat Model.
  • Internet Access: The n8n instance needs internet access to fetch landing page URLs.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Google Gemini Chat Model: Configure the "Google Gemini Chat Model" node with your Google Gemini API credentials.
  3. Activate the Workflow: Enable the workflow.
  4. Access the Form: The "n8n Form Trigger" node will provide a public URL for the form. Access this URL in your browser.
  5. Submit URL: Enter the landing page URL you wish to analyze into the form and submit it.
  6. View Results: The workflow will execute, and the "Markdown" node will output the structured analysis of the landing page content. You can view this output in the workflow execution logs.

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