AI Website Analytics Agent for Umami

Unlock Automated SEO Analysis with this AI Agent

This AI-driven workflow acts as your personal data analyst, transforming raw website traffic data from Umami into clear, actionable intelligence. It automatically fetches key metrics, performs a week-over-week comparison of page performance, and uses a Large Language Model (Llama 3.1 via OpenRouter) to generate expert-level SEO analysis and recommendations. The final report is neatly archived in Baserow, creating a historical log of your website's performance and growth.

Key Features & Benefits

• Automated Data Fetching: Automatically pulls summary and detailed page-level stats from your Umami instance on a schedule, saving you from manual data collection.
• AI-Powered Analysis: Leverages the Llama 3.1 model to interpret complex data, providing insights you might otherwise miss.
• Comparative Reporting: Generates a week-over-week performance comparison, highlighting trends, top-performing pages, and potential declines.
• Actionable SEO Suggestions: Delivers concrete, data-driven recommendations to improve your content and search engine ranking.
• Structured Archiving: Saves all generated reports to a Baserow database, giving you a searchable history of your site's analytics.

• An n8n instance (Cloud or self-hosted).
• An Umami instance with API access and your Website ID.
• An OpenRouter API Key for AI analysis.
• A Baserow account, API token, and a pre-configured table with fields for Date, Summary, Top pages, and Blog name.

1. Import the workflow into your n8n instance.
2. Configure the three 'Umami' HTTP Request nodes: update each URL with your Umami instance and website ID, and set up your Umami Header Auth credentials.
3. Configure the two 'Send data to A.I.' nodes: set up your OpenRouter Header Auth credentials. The Authorization header value should be Bearer YOUR_API_KEY.
4. Optional: In the 'Send data to A.I.' nodes, customize the AI prompts or change the LLM model to fit your needs.
5. Configure the 'Save data to Baserow' node: connect your Baserow credentials, select your Database and Table, and map the fields to the corresponding AI-generated outputs from the previous steps.
6. Activate the workflow. It's pre-configured to run weekly, but you can adjust the schedule or trigger it manually.