Aggregate Stickynote Automate Webhook
This workflow automatically receives user-inputted keywords and utilizes the Ahrefs Keyword Tool API to extract and organize data such as search volume and competition index for the main keywords and their related keywords. It corrects the keywords using the Google Gemini language model to ensure data accuracy, ultimately generating a readable text report. This report helps SEO optimizers, digital marketing teams, and content creators quickly obtain comprehensive keyword analysis, enhancing decision-making efficiency and the scientific formulation of market strategies.
【Workflow Name】
Ahrefs Keyword Research Workflow
【Key Features and Highlights】
This workflow automatically receives user-inputted keyword queries and integrates with the Ahrefs Keyword Tool API to intelligently extract and organize detailed data for the primary keyword and 10 related keywords, including search volume, competition index, and bid price. The results are presented to users in a clear and readable text format. The process incorporates Google Gemini (PaLM) language model to enable intelligent keyword extraction and error correction, ensuring the accuracy of keywords sent to the API. Additionally, it supports flexible adjustment of API request parameters to meet diverse keyword data requirements.
【Core Problems Addressed】
- Precisely extracting effective SEO keywords from complex user inputs automatically
- Correcting keyword spelling errors to improve data query accuracy
- Simplifying the organization and formatting of large-scale keyword data
- Quickly obtaining comprehensive data for primary and related keywords to support SEO decision-making
【Use Cases】
- SEO specialists conducting keyword research and analysis
- Digital marketing teams planning content and advertising strategies
- Content creators seeking high-potential keywords
- Product managers or market analysts performing market demand exploration
【Main Workflow Steps】
- Trigger node receives keyword queries from chat messages
- Google Gemini language model extracts and corrects keywords
- Call Ahrefs Keyword API to obtain global search volume and competition data for primary and related keywords
- Use custom code node to extract and organize core keyword data
- Aggregate keyword data and generate user-friendly text reports via AI formatting node
- Return the organized keyword analysis results to the user
【Involved Systems or Services】
- Ahrefs Keyword Tool API (accessed via RapidAPI)
- Google Gemini (PaLM) language model for keyword extraction and data formatting
- n8n automation platform (webhook triggers, code processing, data aggregation nodes)
【Target Users and Value Proposition】
This workflow is ideal for SEO experts, digital marketers, content operators, and any professionals requiring efficient keyword research and data analysis. By automating the process, it significantly enhances keyword research efficiency, reduces the hassle of manual data organization, and helps users accurately grasp keyword competition dynamics to implement more scientific SEO and marketing strategies.