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.