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Bundled "SEO Optimization per post" workflow #880

@jeffpaul

Description

@jeffpaul

Is your enhancement related to a problem? Please describe.

Description

This feature proposes creating a unified “SEO Optimization per post” experience that allows an author or editor to trigger a single AI-powered workflow for SEO enhancements, rather than invoking individual features one at a time across the editor interface.

This workflow would leverage existing functionality and integrate with relevant roadmap items, allowing a user to request, review, and accept/edit/reject all suggested SEO optimizations in a single interface.

Motivation

  • Streamlined Workflow: Reduces friction by enabling content creators to optimize posts for SEO from one place, rather than separately managing title generation, excerpts, keywords, internal links, etc.
  • Better adoption of features: Bundling the features into a single call-to-action increases discoverability and usage of underutilized SEO tools already built into the plugin.
  • Improved Editorial Experience: Editors can make decisions faster with all suggestions surfaced in a single review screen, reducing the need for back-and-forth across various sidebar panels or modals.

Benefits

  • Makes AI-powered SEO enhancements more accessible and actionable
  • Increases the value of ClassifAI as an editorial assistant, not just a collection of AI microfeatures
  • Unifies plugin functionality into a compelling, task-driven user experience

Proposed Workflow

  1. User clicks “Optimize for SEO” button (e.g., as a dedicated sidebar panel, as a top toolbar button, as a block toolbar item).
  2. AI services are triggered to generate:
  3. All results are presented together in a modal interface for:
    • Reviewing
    • Editing AI suggestions before Accepting
    • Accepting/Rejecting individual recommendations
  4. Upon confirmation, all accepted AI recommendations are applied to the post content, media, meta, taxonomies, etc.

Next Steps

  • Define the UI/UX for displaying SEO suggestions in a single interface
  • Determine which ClassifAI services can be reused vs. need refinement
  • Consider adding a fallback or loading indicator for async processing
  • Identify if block editor integration or a modal-based overlay makes more sense for this workflow

Designs

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Describe alternatives you've considered

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Code of Conduct

  • I agree to follow this project's Code of Conduct

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