Fetch keyword ideas from SE Ranking, merge results from four sources, score opportunities, classify intent, and export the enriched data to Google Sheets.
The AI Agent automatically collects keyword data from SE Ranking across four sources: Longtail, Questions, Similar, and Related. It deduplicates results, scores opportunities using a weighted algorithm, and classifies search intent. It exports the enriched dataset to Google Sheets with 17 columns for immediate content planning and reporting.
End-to-end keyword research and export workflow in one AI Agent.
Fetches keyword data from SE Ranking across four sources.
Merges and deduplicates results into a single keyword list.
Scores each keyword using the defined weights for volume, difficulty, and CPC.
Classifies search intent and suggests content types.
Exports the enriched dataset to Google Sheets with 17 columns.
Provides on-demand re-runs and updates when needed.
Before the agent, teams wrestle with fragmented keyword sources, manual deduplication, and inconsistent scoring. After adopting the AI Agent, you get a unified keyword list, consistent opportunity scores, clear intent and content type guidance, trend and traffic estimates, and an automatic Sheets export.
A simple 3-step flow for non-technical users.
Retrieve four keyword sets (longtail, questions, similar, related) via SE Ranking and standardize formats.
Apply the custom scoring formula, assign opportunity scores, and determine search intent and content type.
Export enriched data to Google Sheets with 17 columns and ready-to-use dashboards.
One realistic scenario that demonstrates time and outcomes.
A marketing team wants to surface 50 high-potential keywords for the next quarter. The agent pulls data from SE Ranking across four sources, deduplicates results, scores each keyword, classifies search intent, suggests content types, and exports the enriched dataset to a Google Sheet. In about 90 minutes, the sheet is ready for editorial planning with 17 columns including volume, CPC, trend, and priority.
Roles that gain practical value from automated keyword research and export.
Need data-driven keyword ideas for content calendars.
Require a unified view of opportunities with scoring across sources.
Want clear intent and recommended content formats.
Need shareable reports and dashboards for planning.
Seek a repeatable, end-to-end keyword workflow.
Can standardize keyword research across multiple clients.
Connects SE Ranking data and Google Sheets for seamless workflows.
Fetch keyword data from SE Ranking and feed into the agent’s workflow.
Export 17 columns of enriched keyword data for reporting and planning.
Practical scenarios where the agent adds value.
Practical answers to common setup and usage questions.
The agent retrieves four keyword sets from SE Ranking: Longtail, Questions, Similar, and Related. It normalizes data, deduplicates across sources, and applies a consistent scoring model before exporting. The data comes in a single, deduplicated dataset ready for analysis. If any source returns incomplete results, the agent logs the fallback values and continues with the rest. This ensures a stable workflow even when a source is temporarily unavailable.
Yes. The current formula weights volume 40%, difficulty 40%, and CPC 20%. You can adjust these weights and thresholds in the Code node to align with your business goals. Changes apply to all keywords in the export, ensuring consistent scoring across campaigns. After updating, you can re-run the pipeline to refresh scores and rankings. This gives you a tailored view of opportunities based on your criteria.
The source parameter supports up to 1000 keywords per source, giving a broad view of opportunities. The overall export includes 17 columns per keyword, covering volume, difficulty, CPC, trend, intent, and more. You can adjust the 'limit' to fetch more or fewer keywords as needed. Large exports may require multiple sheets or a larger sheet capacity. The agent ensures clean column alignment for downstream reporting.
Yes. The AI Agent can be configured to run on a schedule or triggered manually. Scheduling ensures fresh data for weekly or monthly reporting without manual intervention. Logs are kept for each run, including data pulls, deduplication results, and export status. You can adjust frequency to balance data freshness with API usage limits.
The 17 exported columns include keyword, volume, difficulty, CPC, trend, market intent, content type, priority, and SERP features, among others. Each row represents a keyword with metadata that supports content planning and SEO analysis. The exact column names map to the fields produced by the processing pipeline. The sheet is designed for straightforward sorting, filtering, and dashboarding.
No coding is required. The agent runs within a low-code workflow (n8n) and uses a SE Ranking community node plus Google Sheets integration. You configure API credentials, seeds, and sheet destinations, then run the pipeline. Minimal configuration is enough to activate the full end-to-end process. Advanced users can tweak the scoring and detection patterns if needed.
Data handling adheres to standard security practices. Access controls govern who can view or edit the Google Sheet, and sensitive credentials are stored securely in the workflow runtime. The agent processes data in your own SE Ranking account and Google Sheets, without exposing information to third parties. If you need stricter controls, you can limit export to a private sheet with restricted sharing.
Fetch keyword ideas from SE Ranking, merge results from four sources, score opportunities, classify intent, and export the enriched data to Google Sheets.
