AI Content Detection

AI content detection tools analyze writing patterns, perplexity scores, and burstiness metrics to estimate the probability that content was AI-generated. As AI writing tools become ubiquitous, both search engines and publishers increasingly use detection to evaluate content authenticity and quality.

Detection accuracy varies significantly. Current tools achieve roughly 70-90% accuracy on fully AI-generated text but struggle with AI-assisted content where a human has edited and refined the output. False positives remain a concern, especially for technical or formulaic writing styles.

GenGrowth addresses AI detection by ensuring all AI-assisted content passes through human editorial workflows, blending AI efficiency with human expertise and voice. The platform monitors detection scores and flags content that may trigger AI content filters, allowing teams to revise before publishing.