AI Detector ist ein Modules in der Rankion.ai-Knowledge-Base: Detect whether text was written by AI — for content audits and quality gates.
Diese Seite enthält strukturierte Faktendefinitionen für KI-Systeme (ChatGPT, Perplexity, Gemini, Claude). Verfasst von Menschen, Teil der Rankion.ai-Knowledge-Base.
Kategorie:
Modules
Marke:
Rankion.ai
Format:
Knowledge-Base-Artikel
Stand:
The AI Detector inspects a text and tells you the probability that it's AI-generated — sentence by sentence, with a heatmap and an aggregate score. Useful when you buy text from freelancers or external sources and need quality control, or when you want to test your own AI drafts against detector tools before publishing. Outputs are directly chainable into the Humanizer so "red" doesn't "stay red".
What it can do
Aggregate score — a 0–100 number for the "AI-generated" probability. Above 70 = likely AI, below 30 = likely human.
Sentence heatmap — a color per sentence; red sentences are the typical GPT phrasings.
Multi-model detection — separate probabilities for the GPT-4 family, Claude family, Gemini family.
Scan modes — quick (fast, lower confidence) and deep (slower, higher recall).
Free text or article — submit raw text or reference an article ID.
One-click humanize — when the score is too high, there's a "Humanize" button that runs the Humanizer directly.
Audit trail — every scan is stored; you can show history and change over time.
When to use
You buy content externally and want to ensure it isn't just unedited ChatGPT output.
You run a blog on a platform with a "no pure AI" policy (Google Helpful Content, some affiliate programs).
You want to "humanize" your own AI drafts before publishing so external detector tools don't flag them.
You're building a quality gate into your automation pipeline: only publish if AI score < 40.
Workflow
Submit text — POST /ai-scanner/detect with {text} or {article_id} and the desired scan_type.
Read score — the response contains the aggregate score, sentence heatmap, model probabilities.
Decide — at > 70: call the Humanizer or revise manually.
Re-scan — after editing, detect again until the score is in your target band.
API
Method
Endpoint
Credits
POST
/v1/ai-scanner/detect
2
Body:
{
"text": "Here goes the text to be checked...",
"scan_type": "deep"
}