Research Dataset Scope
Report positioning includes a large scan dataset with trend analysis across major detector ecosystems.
Backed by measurable writing signals
State of AI Detection (2026)
Detector behavior, tradeoffs, and current limits.
A practical review of how detector outputs should be interpreted in real workflows.
- 33-signal writing analysis
- 5 supported languages
- Free plan — 2,000 words/month
Highlights
Detector Coverage
Benchmarks include multiple detectors and comparative behavior under different text conditions.
Humanization Effectiveness Tracking
Compares pre- and post-humanization outcomes with practical interpretation of success rates.
Content-Type Distribution
Breaks down findings by academic, blog, marketing, and technical content categories.
Citation-Ready Publication
Includes citation details for researchers and teams referencing the report in external work.
Operational Insights
Connects detector trend data to practical workflow recommendations for writing teams.
Key steps
1. Read baseline
Review detector rates and tool-level comparisons.
2. Analyze changes
Inspect before/after humanization outcome shifts.
3. Apply workflow
Use findings to tune real revision and validation operations.
Ready to run the full workflow?
Start with the free path, then scale to pro throughput when usage increases.