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HookGenie AI

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Editorial Policy and Content Quality

This page explains how we publish and maintain tool pages and blog guides on HookGenie AI. Our goal is practical: help users produce and refine marketing copy with AI tools using clear instructions, predictable outputs, and transparent limitations.

Editorial Mission

We publish content that is useful during real work, not filler content. Tool pages focus on input-output clarity, reference samples, and boundary conditions. Blog articles focus on repeatable workflows, quality checks, and implementation decisions that teams can use immediately.

Quality Standards

  • Every tool page must define expected behavior and include a reference sample.
  • Blog posts must connect to relevant tools and include concrete operational guidance.
  • Claims about features must be verifiable in the current tool implementation.
  • We avoid generic AI-generated filler and remove outdated or duplicate material.
  • We prioritize readability, clear headings, and consistent terminology.

Review Workflow

  1. Draft: scope, user intent, and tool coverage are defined.
  2. Technical review: examples are tested against live widget logic.
  3. SEO review: metadata, canonical, internal links, and schema are validated.
  4. Accessibility review: keyboard flow, labels, and live-region behavior are checked.
  5. Publish and monitor: post-release checks and periodic refresh scheduling.

Technical SEO Governance

  • Canonical URLs are enforced per page.
  • Robots directives follow page intent (indexable guides, controlled utility pages when needed).
  • Structured data is used for organization, website, breadcrumbs, and tool page context.
  • Internal linking is maintained across tools, topic clusters, and supporting posts.
  • Topic clusters are updated when new tools or workflows are added.

Content Freshness and Updates

We review high-traffic pages and cluster pillar guides first. When tool behavior changes, we update reference samples and related blog links. Pages with mismatched examples are queued for correction in our QA backlog.

Trust and Advertising

Ads must not block core functionality or mislead users about tool behavior. Editorial decisions are independent of ad placement. We do not publish sponsored tool rankings disguised as neutral documentation.

Supporting transparency pages are available in the Trust Center, including How We Test Tools, Known Limitations, and Data Handling Summary.

Corrections Policy

If you find incorrect output examples, broken links, or outdated instructions, contact us via the contact page. Confirmed issues are corrected in production and included in our next QA cycle.

Contact

For editorial feedback and quality reports, visit Contact. For data handling details, see Privacy Policy and Terms of Service.