Editorial guidelines

ViralHookAnalyzer is an independent creator intelligence platform. These guidelines describe how we approach the analysis, articles, and AI-assisted content published here, so creators can read with clear expectations.

What we publish

Long-form Insights, short analyses, and tool outputs focused on viral hooks, retention, thumbnails, and creator psychology. We try to publish things creators can actually use, not commentary for its own sake.

How AI is used

We use AI to assist research, drafting, and analysis. AI helps us move faster and spot patterns across large amounts of content. It does not replace judgment.

Human oversight helps shape editorial content whenever appropriate. We refine and review published pieces for clarity, accuracy, and usefulness before they go out.

Principles we try to keep

• Clarity over hype. We avoid words that sound smart but mean little.
• Usefulness over vanity metrics. The goal is to make creators better, not to chase impressions.
• Transparent AI. We are honest about what is automated and what is reviewed.
• Creator trust. We treat readers like the intelligent professionals they are.
• Independent thinking. We do not parrot the loudest creator opinions of the week.

Sourcing

Where useful, we cite primary sources, link to the original videos or creators, and credit work that influenced an analysis. Direct quotes are kept short and contextual.

Independence

Editorial decisions are independent of any advertising, affiliate, or partnership relationship. Sponsored content, when it appears, is clearly labeled. Affiliate relationships never influence scoring or recommendations.

Corrections

If we get something wrong, we fix it. Substantive corrections are noted at the bottom of the affected article. Spot something off, tell us through the contact page.

What we will not do

We will not publish unedited AI output as commentary, fabricate creator quotes, invent statistics, or accept payment in exchange for favorable coverage.

Fact-checking

Every numerical claim is traced back to a query against our analyzer dataset or a named public source. Statistics that cannot be reproduced from the dataset are either reframed as qualitative observations or removed before publish.

Content review process

1. Draft by the assigned researcher with linked data queries and source URLs.
2. Senior editor review for accuracy, framing, citations and tone.
3. Methodology sign-off when the article cites Viral IQ, Hook or Retention scores.
4. Final publish with visible "Last updated" date and author byline.
5. Quarterly re-check; substantive changes are noted in the article footer.

Corrections policy

Confirmed factual errors are corrected as soon as they are verified, with a note appended to the article. Significant changes that alter a conclusion are flagged at the top of the page. Report corrections via /contact or contact@viralhookanalyzer.com.

AI usage policy

We use AI to assist research, drafting and analysis. All AI-assisted drafts are reviewed by a human editor before publish. We do not publish unedited AI output as editorial commentary. AI-generated illustrative examples are clearly labeled as examples, not as real creator data.

Transparency principles

• Visible author bylines and a verified founder profile.
• Public methodology for every score we cite.
• Last-updated dates on every article and report.
• Clear separation between editorial, sponsored and affiliate content.
• Open invitation to challenge any claim via the contact page.