Editorial Policy & Standards
00 Mission Statement
GenRankEngine exists to democratize AI visibility for SaaS founders.
We believe that inclusion and ranking in systems such as ChatGPT, Gemini, Claude, and Perplexity should be driven by:
- verifiable engineering practices
- semantic clarity
- observable retrieval behavior
not undocumented tactics, speculation, or black-box claims.
Our work focuses on measuring, testing, and documenting how modern LLMs surface tools, brands, and answers.
01 Fact-Checking & Verification Standards
1.1 Primary Sources & Authoritative Publications
All factual claims about LLM capabilities, context windows, retrieval mechanisms, API behavior, and model limitations are verified against primary or authoritative sources, including:
- official API documentation
- model release notes
- first-party engineering blogs or vendor technical publications
- vendor technical papers and whitepapers
- first-party changelogs
Independent blogs are cited only when they contain original research or reproducible technical analysis, and their claims can be validated against observable system behavior.
Secondary commentary, opinion pieces, and social media threads are not treated as authoritative sources.
1.2 Evidence-Based Verification
When evaluating tools, platforms, or features, GenRankEngine applies an evidence-based verification process.
Verification may include one or more of the following, depending on feasibility and scope:
- reviewing official documentation and product specifications
- analyzing publicly available product interfaces, demos, or walkthroughs
- executing controlled test queries where access is available
- validating claims against observable behavior in supported environments
We do not rely solely on marketing copy or feature lists.
If a specific capability is stated as supported, it is based on verifiable evidence such as documented functionality, demonstrable interfaces, or observed system behavior. Where direct testing is not performed, this is treated as documented capability, not empirical performance measurement.
Direct account-level testing is performed selectively and is not guaranteed for every product or feature referenced.
1.3 What We Explicitly Do Not Publish
GenRankEngine does not publish:
- speculative ranking factors without evidence
- unverified screenshots or anonymous claims
- “AI prefers X” statements without reproducible signals
- content written solely for backlink acquisition
If a claim cannot be verified, it is excluded.
02 AI Usage Policy (Human-in-the-Loop)
GenRankEngine uses AI systems as assistive tools, not authoritative sources. All content follows a Human-in-the-Loop workflow.
| Stage | AI Role | Human Role |
|---|---|---|
| Research & Outlining | Aggregate sources, suggest structure | Source selection, validation, exclusion |
| Drafting | Generate initial drafts from human-written briefs | Editing, clarity, tone, factual review |
| Final Review | None | Technical accuracy sign-off |
No article is published without human review and approval. AI systems do not make final factual or editorial decisions.
Content attributed to the GenRankEngine Engineering Team reflects work produced within the engineering function and reviewed by the founder.
03 Editorial Review Process
3.1 Technical Review
Every article published on GenRankEngine is technically reviewed by the Founder to ensure alignment with:
- current LLM behavior
- known retrieval constraints
- observed answer-engine patterns
This review focuses on correctness, not marketing tone.
3.2 Guest Content Policy
GenRankEngine accepts guest contributions selectively.
Guest-authored content is considered when it:
- provides original technical insight, data, or analysis related to AI visibility or Generative Engine Optimization (GEO)
- meets the same engineering, sourcing, and verification standards as internally authored content
- is reviewed and approved through the standard editorial process
We do not publish guest content submitted primarily for backlink placement, promotional purposes, or SEO manipulation.
Acceptance of guest content does not imply endorsement of external products or services unless explicitly stated.
04 Corrections, Updates & Versioning
4.1 Corrections
If an error, outdated benchmark, or broken reference is identified, we commit to reviewing correction requests within 48 hours.
Report an Error4.2 Updates
Because LLM behavior evolves rapidly:
- articles may be updated to reflect model changes
- benchmarks may be revised
- conclusions may be refined as new evidence emerges
When substantive updates are made, content is revised rather than silently replaced.
05 Citation Intent
GenRankEngine publishes content with the explicit goal of being:
We structure content to be easily attributable, auditable, and context-preserving when referenced by LLMs or search engines.