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Google Search Console and analytics analysis with AI optimizations

ŁukaszŁukasz
10584 views
2/3/2026
n8n
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What Is This?

This workflow is a comprehensive solution for automating website audits and optimizations, leveraging advanced technologies to boost SEO effectiveness and overall site performance.

Who Is It For?

Designed for SEO specialists, digital marketers, webmasters, and content teams, this workflow empowers anyone responsible for website performance to automate and scale their audit processes. Agencies managing multiple client sites, in-house SEO teams aiming to save time on routine checks, and developers seeking to integrate data-driven insights into their deployment pipelines will all find this solution invaluable.

By combining your site’s sitemap with Google Search Console and Google Analytics data, then applying AI-powered analysis, the workflow continuously uncovers actionable recommendations to boost search visibility, improve user engagement, and accelerate page performance. Whether you manage a single blog or oversee a sprawling e-commerce platform, this automated pipeline delivers precise, prioritized SEO improvements without manual data wrangling.

How Does It Work?

This end-to-end site analysis automation consists of five main stages:

1. URL Discovery
Processes the sitemap.xml using HTTP Request and XML nodes to extract all site URLs.

2. Search Console Performance Analysis
Uses the Google Search Console API to fetch detailed metrics for each page, including search position, clicks, impressions, and CTR.

3. Analytics Data Collection
Connects to the Google Analytics API to automatically retrieve traffic metrics such as pageviews, average session duration, bounce rate, and conversions.

4. AI Data Processing
Employs OpenAI models to perform in-depth analysis of the collected data. The artificial intelligence engine merges insights from all sources, identifies patterns, and produces detailed optimization recommendations. AI analyses website itsefl aswell. Consider testing different models. I do recommend at least trying out o4-mini.

5. Recommendation Generation
Creates tailored suggestions for each page, in form of HTML table, that is being sent to your email.

How To Set It Up?

Accounts:
An active n8n account or instance, API keys for Google Search Console and Google Analytics, an OpenAI access token.

Enabled Google APIs: You will neeed at least following scopes:

  • Google Search Console API
  • Google Analytics Aadmin API
  • Google Analytics Data API

Scheduling:
The workflow can run manually for ad hoc audits or be scheduled (daily, weekly) for continuous site monitoring.

Testing:
There are two nodes that are optional:

  • "Sort for testing purposes" and
  • "Limit for testing purposes" Together they randomly select items from sitemap and limit them to few so you don't need to run hundreds of sitemap.xml items at once, but you can run just a random batch first.

Globals: There is node called "Globals- CHANGE ME!". You need to set up proper variables in there, which are:

  • sitemap_url - self exlpainatory
  • search_console_selector - for example "sc-domain:sailingbyte.com" but can be URL aswell- depends on how did you set up your search console
  • analysis_start_date and analysis_end_date - date range for analytics, by default last 30 days
  • analytics_selector_id - ID of Google Analytics setup, it is a large integer, you can find it in analytics url preceeded with letter "p", ex (your number is where there are X's): https://analytics.google.com/analytics/web/#/pXXXXXXXXX/reports/intelligenthome
  • report_receiver - email which will receive report

What's More?

That's actually it. I hope that this automation will help your website improvement will be much easier!

Thank you, perfect!

Glad I could help. Visit my profile for other automations for businesses. And if you are looking for dedicated software development, do not hesitate to reach out!

n8n Workflow: Google Search Console and Analytics Analysis with AI Optimizations

This n8n workflow provides a framework for analyzing data from Google Analytics and potentially Google Search Console (though only Google Analytics is present in the provided JSON) with AI-powered optimizations. It demonstrates how to fetch data, process it, and prepare it for further analysis or reporting, including the use of an AI agent for advanced insights.

Note: The provided JSON exclusively contains a Google Analytics node. While the directory name suggests Google Search Console integration, the workflow as defined in the JSON does not include any nodes for Google Search Console.

What it does

This workflow outlines the following steps:

  1. Manual Trigger: Initiates the workflow manually.
  2. Google Analytics Data Fetch: Retrieves data from Google Analytics.
  3. Data Transformation (Set): Edits or sets fields on the incoming data.
  4. Loop Over Items: Processes the data in batches, allowing for iterative operations.
  5. AI Agent Analysis: Utilizes an AI agent (powered by an OpenAI Chat Model) to analyze the data, likely for optimizations or insights.
  6. Data Transformation (Set): Further edits or sets fields after AI processing.
  7. Data Cleaning (Remove Duplicates): Ensures data uniqueness by removing duplicate entries.
  8. Data Splitting (Split Out): Splits out nested data structures into separate items.
  9. Data Sorting (Sort): Sorts the processed data based on specified criteria.
  10. Data Limiting (Limit): Limits the number of items in the dataset.
  11. Data Merging: Combines data streams, potentially after parallel processing or to consolidate results.
  12. HTML Generation: Converts data into an HTML format.
  13. XML Conversion: Converts data into an XML format.
  14. Markdown Generation: Formats data into Markdown.
  15. Email Notification: Sends an email, likely containing the generated reports or insights.
  16. HTTP Request: Makes an HTTP request, potentially to an external API or service.
  17. Wait: Pauses the workflow for a specified duration.
  18. Sticky Note: Provides a placeholder for notes or comments within the workflow.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Analytics Account: With appropriate permissions to access the desired data.
  • Google Analytics Credentials: Configured in n8n (OAuth2 recommended).
  • OpenAI API Key: For the OpenAI Chat Model used by the AI Agent.
  • SMTP Credentials: For sending emails via the "Send Email" node.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Analytics: Set up your Google Analytics OAuth2 credentials.
    • OpenAI: Configure your OpenAI API Key credentials.
    • SMTP: Set up your SMTP credentials for email sending.
  3. Customize Nodes:
    • Google Analytics: Configure the "Google Analytics" node with your desired View ID, metrics, dimensions, and date ranges.
    • AI Agent: Adjust the prompt and configuration of the "AI Agent" node to guide its analysis and optimization suggestions.
    • Edit Fields (Set): Customize these nodes to transform data as needed for your specific analysis.
    • Loop Over Items: Define the batch size and any specific looping logic.
    • Remove Duplicates, Split Out, Sort, Limit: Configure these nodes based on your data cleaning and structuring requirements.
    • HTML, XML, Markdown: Adjust these nodes for the desired output format.
    • Send Email: Configure the recipient, subject, and body of the email.
    • HTTP Request: Set up the URL, method, headers, and body for any external API calls.
  4. Execute Workflow: You can run the workflow manually by clicking "Execute workflow" on the "Manual Trigger" node.

This workflow provides a robust starting point for automating data analysis and leveraging AI for insights from your Google Analytics data. Remember to tailor each node's configuration to your specific use case and data structure.

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