AI Content Strategy

AI-powered content strategy recommendations based on your existing content and EEAT framework.

Features

• Content Gap Analysis: Identifies missing content opportunities
• Authority Topics: Suggests topics for domain expertise
• Expertise Demonstrations: Recommends content formats to showcase knowledge
• Trust Signals: Builds credibility with your audience
• Priority-based Recommendations: High/medium/low prioritization
• Dynamic Idea Generation: "Generate More Ideas" for each recommendation

Requirements

• Drupal 10.2+
• AI module
• Menu UI module (core)

Installation

composer require drupal/ai_content_strategy
drush en ai_content_strategy

Configuration

1. Configure AI provider at /admin/config/ai/providers
2. Set permissions at /admin/people/permissions
3. Configure recommendation categories at /admin/config/ai/content-strategy/categories
4. Customize global AI settings at /admin/config/ai/content-strategy/settings
5. Access recommendations at /admin/reports/ai/content-strategy
6. Click "Generate Recommendations" to analyze your site
7. Use "Generate More Ideas" for specific content suggestions

Customizing Categories

You can customize the recommendation categories to match your content strategy needs:

• Add new categories: Create custom recommendation types
• Modify instructions: Tailor AI analysis per category
• Enable/disable categories: Control which recommendations appear
• Reorder categories: Drag and drop to change display order

Exporting Configuration

Categories are configuration entities and can be exported/imported:

# Export configuration
drush config:export

# Import configuration
drush config:import

The category configs are stored in:

• ai_content_strategy.recommendation_category.*
• ai_content_strategy.settings

Usage

The module analyzes your site structure, navigation, and existing content to recommend:

• Missing content types for comprehensive coverage
• Topics that establish your authority
• Content formats that demonstrate expertise
• Trust-building elements for credibility

Each recommendation includes priority level and specific content ideas.

Development

Running Code Quality Tools

This project uses Docker for running code quality checks:

# Run Drupal coding standards lint
docker compose --profile lint run drupal-lint

# Auto-fix coding standards issues
docker compose --profile lint run drupal-lint-auto-fix

# Run drupal-check for deprecation analysis
docker compose --profile lint run drupal-check

# Run tests
docker compose --profile test run drupal-test