SplitOut Automate

Used in SplitOut, this automated workflow generates and cleans SEO keywords in real-time, enhancing your content strategy. Triggered by webhooks, it efficiently aggregates and formats keyword suggestions, saving time and improving search visibility.

7/8/2025
9 nodes
Medium
webhookmediumsplitoutaggregatesticky noterespondtowebhookintegrationapidataparsing
Categories:
Webhook TriggeredMedium Workflow
Integrations:
SplitOutAggregateSticky NoteRespondToWebhook

Target Audience

This workflow is ideal for:
- Digital Marketers looking to enhance their SEO strategies with automated keyword generation.
- Content Creators who need relevant keywords to optimize their articles or blogs.
- Businesses aiming to improve their online visibility through effective keyword research and integration.
- Developers who want to integrate keyword generation into their applications using webhooks.

Problem Solved

This workflow addresses the challenge of manually generating and aggregating relevant keywords for SEO purposes. By automating the process, users can save time and ensure they are utilizing the most effective keywords to drive traffic to their websites.

Workflow Steps

  • Receive Keyword: The workflow is triggered by a webhook that receives a keyword query.
    2. Autogenerate Keywords: It sends a request to Google to autogenerate keywords based on the input query.
    3. Format Keywords: The response from Google is formatted to extract the relevant keyword suggestions.
    4. Split Out: The formatted keywords are split into separate entries for easier processing.
    5. Clean Keywords: The workflow cleans the keywords to ensure they are in the desired format.
    6. Aggregate: The cleaned keywords are aggregated to provide a comprehensive list of suggestions.
    7. Return Keywords: Finally, the aggregated keywords are sent back as a response to the webhook request.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the webhook URL to match their specific endpoint requirements.
    - Changing the query parameter in the Autogenerate Keywords step to target different types of keywords.
    - Adjusting the fieldsToAggregate in the Aggregate node to focus on different keyword metrics.
    - Adding or removing nodes to tailor the workflow to specific needs, such as integrating additional data sources or processing steps.