AI Features 

Purpose 

Assign different AI providers per task type. Use a fast cheap model for bulk SEO work and a premium model for important pages.

Path: AI Foundation > AI Features

AI Features cards for extension-level AI settings

AI Features — extension cards for per-feature settings and provider overrides.

Feature types 

  • SEO — Meta data, keywords, schema-related tasks
  • Pages — Page creation and structure
  • Content — Text generation and rewriting
  • Translation — Language conversion

Resolution order 

When an AI request runs, AI Foundation picks the provider in this order:

  1. Provider chosen in the UI modal (if the editor selected one)
  2. Feature default from this page
  3. Global default provider from AI Providers

When to use per-feature providers 

Small team — Leave feature defaults empty. Use the global default only.

Large team — Cheap model for bulk tasks; premium model for key landing pages.

Multilingual site — Strong German model for Translation; fast model for SEO meta fields.

Example setup 

  • SEO — Fast, cost-effective model (for example Gemini Flash or GPT-4o-mini)
  • Pages — Premium model (for example Claude Sonnet or GPT-4o)
  • Content — Balanced model for everyday editing
  • Translation — Model strong in German and English

Why this matters for cost 

Without per-feature settings, every task uses the most expensive default. Routing SEO meta generation to a smaller model can cut monthly spend significantly while keeping premium quality where it counts.

How to configure 

  1. Open AI Foundation > AI Features
  2. For each feature row, select a provider (or leave empty for global default)
  3. Save
  4. Test one request per feature type from a connected extension
  5. Review token usage in AI Usage & Logs

Scenario: agency with dev and live keys 

Use global default for staging. On production, set SEO to a fast model and Pages to premium. Dev team keeps separate provider rows in AI Providers with dev API keys.