Backed by measurable writing signals

State of AI Detection (2026)

Detector behavior, tradeoffs, and current limits.

★★★★★ 4.9/5 rating·5,000+ users·Free to start

Program Overview

Research Dataset Scope

Report positioning includes a large scan dataset with trend analysis across major detector ecosystems.

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.

Cohort Timeline

  1. 1. Read baseline

    Review detector rates and tool-level comparisons.

  2. 2. Analyze changes

    Inspect before/after humanization outcome shifts.

  3. 3. Apply workflow

    Use findings to tune real revision and validation operations.

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