Resource Submission Guidelines
Our content policy ensures every resource in our library maintains the highest standards of quality, relevance, and authority.
DrewIs.org curates a library of authoritative resources on AI citation, Wikipedia gatekeeping, and entity authority. We accept submissions from community members who discover valuable content that advances understanding in these areas. All submissions undergo human review to ensure quality and relevance.
Approval Criteria
Content must directly address one or more of these topics:
- • AI citation and source selection
- • Wikipedia/Wikidata gatekeeping issues
- • Entity authority and verification
- • Knowledge graph optimization
- • AEO/GEO/Zero-Click strategies
- • Schema markup and structured data
Sources must demonstrate credibility through:
- • Academic publications (peer-reviewed)
- • Industry thought leadership
- • Original research with data
- • Established publication venues
- • Expert author credentials
- • Verifiable citations
Content must meet these standards:
- • Well-researched and fact-based
- • Clear, professional writing
- • Substantive analysis (not superficial)
- • Properly cited sources
- • Free of major errors
- • Accessible (not paywalled)
Submissions should offer unique value:
- • Not already in our library
- • Provides new insights or data
- • Unique perspective or approach
- • Advances the conversation
- • Complements existing resources
- • Timely and current
Common Rejection Reasons
Resources that don't directly address AI citation, Wikipedia gatekeeping, entity authority, or related topics. General SEO/marketing content without specific focus on AI searchability will be rejected.
Thin content, listicles without analysis, poorly researched articles, or content with factual errors. We prioritize depth over breadth—short blog posts without substantive insights will be rejected.
Content primarily designed to promote a product, service, or company rather than educate. Case studies are acceptable if they provide genuine insights, but pure marketing material will be rejected.
Resources that cover the same ground as existing library entries without adding new value. Check our Resources page before submitting to avoid duplicates.
Content that violates copyright, reproduces others' work without attribution, or misrepresents authorship. All submissions must link to original sources with proper credit.
Links to malware, phishing sites, or spam domains. Submissions with excessive affiliate links or deceptive practices will be rejected immediately.
Review Process
1. Submission
Submit your resource through our form with complete information (title, URL, author, publication, description, category).
2. Human Review
Our team manually reviews each submission against our approval criteria. We evaluate relevance, authority, quality, and originality.
3. Decision
You'll receive an email notification within 3-5 business days with our decision. Approved resources appear immediately on our Resources page.
4. Rejection Feedback
If rejected, we provide specific reasons so you can improve future submissions. You may resubmit after addressing the issues.