About & editorial standards
Top Detection AI is an informational site focused on independent comparison frameworks for AI content detectors. The primary audience is publishers, SEO teams, agencies, and site owners. Educator guidance is secondary credibility content.
Mission
Reduce confusion in a market full of absolute claims. We publish decision frameworks and, when ready, documented comparisons that foreground limitations—especially that detector scores are probabilistic and not proof of misconduct.
What “independent” means here
- Evaluation criteria are defined editorially, not by vendors.
- We do not invent results, rankings, ratings, reviews, traffic, user counts, certifications, quotes, or testimonials.
- We do not present affiliate links or approval claims on this initial launch. See the affiliate disclosure.
- If commercial relationships exist in the future, they will be disclosed and will not silently rewrite methodology.
Editorial standards
- Evidence over aesthetics. Prefer boring, checkable claims.
- Label uncertainty. If something is planned, unfinished, or unknown, say so in plain language.
- No fake interactivity. This static site does not pretend to run live detector tests in the browser.
- Audience honesty. Publisher needs come first; educator content is clearly marked as secondary.
- Accessible presentation. Semantic HTML, readable contrast, keyboard-friendly navigation.
Corrections policy
Factual errors will be corrected with a dated note on the affected page when practical. To request a correction, use the details on the contact page once they are filled in.
Current publication state
Site inventory
- Live Frameworks, methodology outline, standards, privacy, disclosure
- Not live Named-tool comparison results and rankings
Ownership note
Operator and contact identity fields are placeholders until the owner publishes them on the contact page. This about page does not invent biographies, team photos, or institutional affiliations.