Block 1 - Aggregate
- Type / Role
- n8n-nodes-base.aggregate - aggregate
- Config choices
- Version 1
This weekly workflow automatically discovers new high volume, ranked keywords for your domain on Google with...
n8n-nodes-base.aggregate, n8n-nodes-dataforseo.dataforseolabsapi, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.scheduletrigger, n8n-nodes-base.stickynote, n8n-nodes-base.asana, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by DataForSEO.
Original n8n.io sourceThis weekly workflow automatically discovers new high-volume, ranked keywords for your domain on Google without manual SERP monitoring. On each run, the workflow fetches the latest ranking and search volume data using the DataForSEO Labs API and stores a fresh snapshot in Google Sheets. It then compares this data with the previous run to identify any new keywords your domain started ranking for, focusing on queries with a search volume above 1,000.
All newly ranked keywords that match this rule are added to a dedicated Google Sheet, along with their ranking position and search volume, creating a growing historical log you can use to analyze gains over time. Once new terms are identified, the workflow creates tasks in Asana to help your team act on them quickly, and sends you a Slack summary highlighting the latest changes.
SEO professionals, marketers, and content teams who want an automated way to discover newly ranked, high-volume Google keywords and turn organic ranking gains into actionable content or optimization tasks.
This workflow automatically detects when your domain starts ranking for new high-volume keywords on Google, records them in Google Sheets, creates related tasks in Asana, and sends a weekly summary via Slack.
Runs on a predefined schedule (default: once a week). Reads your keywords and target domains from Google Sheets. Extracts the latest Google results and keyword metrics via DataForSEO API. Compares current data with the previous snapshot. Logs newly ranked keywords to a dedicated Google Sheet. Creates follow-up tasks in Asana for content team. Sends a Slack summary with key changes.
You can easily tailor this workflow to your needs by adjusting the run schedule, changing the minimum search volume threshold, exporting results to other tools (like Looker Studio or BigQuery), and customizing the content of the Asana task or Slack message to match your team’s workflow.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Turn new high-volume ranked keywords into Asana tasks with DataForSEO |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Market Research, AI Summarization |
| Author | DataForSEO |
| Published | 18 Feb 2026 |
Use the JSON export at /data/workflows/13490/13490.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This weekly workflow automatically discovers new high volume, ranked keywords for your domain on Google with...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.