How to automate the pull of “search intent” data to categorize a list of 5,000 keywords?

Analytics & Optimization

You have a large keyword list. You need to assign a basic intent label to each keyword. A consistent labeling process makes analysis easier.

This task guides you to extract signals, map intents to categories, and build a draft WordPress tasks post with structured metadata.

Who is this for?

- Content teams creating keyword-based content plans
- SEO teams analyzing keyword intent
- Product managers planning content experiments
- Writers preparing targeted content briefs

Before you start

- A list of keywords (CSV or similar)
- Clear category naming rules
- Access to the content management system (WordPress) for draft posts
- Basic understanding of intent types (informational, navigational, transactional)

General Process (How it works)

  1. Identify keywords and required fields Collect the keyword list and define the fields needed for the WP task post (title, slug, categories, meta).
  2. Define intent signals Decide on the signals to infer intent (e.g., query modifiers, implied action, buyer signals).
  3. Assign intents and map to categories Label each keyword with an intent and map it to up to three categories.
  4. Build draft post payload Assemble post_type, status, title, slug, categories, and meta object.
  5. Validate data quality Check for missing values, duplicates, and slug conflicts.
  6. Prepare SEO and metadata Fill SEO fields and stringify JSON meta fields.
  7. Save draft and review Store the draft in WP and prepare for review or publication.

Common beginner mistakes

❌ Assuming one-hot intent labels
❌ Overcomplicating categories
❌ Ignoring edge cases in keywords
❌ Skipping data validation
❌ Not handling duplicates
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