Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow automates AI powered search insights by combining SE Ranking AI Search data with OpenAI summarization. It starts with a manual trigger and fetches the time series AI visibility data v...
n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.code, n8n-nodes-base.readwritefile, n8n-nodes-base.function
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.
Original n8n.io sourceThis workflow automates AI-powered search insights by combining SE Ranking AI Search data with OpenAI summarization. It starts with a manual trigger and fetches the time-series AI visibility data via the SE Ranking API. The response is summarized using OpenAI to produce both detailed and concise insights.
The workflow enriches the original metrics with these AI-generated summaries and exports the final structured JSON to disk, making it ready for reporting, analytics, or further automation.
This workflow is designed for:
SE Ranking’s AI Search API provides rich but highly technical time-series data. While powerful, this data:
This workflow solves that by automatically transforming raw AI search metrics into clear, structured summaries, saving time and reducing analysis friction.
At a high level, the workflow:
Accepts input parameters such as target domain, AI engine, and region
Fetches AI search visibility time-series data from SE Ranking
Uses OpenAI GPT-4.1-mini to generate:
Enriches the original dataset with AI-generated insights
Exports the final structured JSON to disk for:
If you are new to SE Ranking, please signup on seranking.com
Import the workflow JSON into n8n
Configure credentials:
Open Set the Input Fields and update:
target_site (e.g., your domain)engine (e.g., ai-overview)source (e.g., us, uk, in)Verify the file path in Write File to Disk
Click Execute Workflow
You can easily extend or tailor this workflow:
Change analysis scope
Modify AI outputs
Replace storage
Send output to:
Automate monitoring
This workflow turns raw SE Ranking AI Search data into clear, executive-ready insights using OpenAI GPT-4.1-mini.
By combining automated data collection with AI summarization, it enables faster decision-making, better reporting, and scalable SEO intelligence without manual analysis.
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 | Summarize SE Ranking AI search visibility using OpenAI GPT-4.1-mini |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Market Research, AI Summarization |
| Author | Ranjan Dailata |
| Published | 30 Dec 2025 |
Use the JSON export at /data/workflows/12291/12291.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 workflow automates AI powered search insights by combining SE Ranking AI Search data with OpenAI summarization. It starts with a manual trigger and fetches the time series AI visibility data v...
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.