Word Counter AI Detector
Professional-grade AI content verification integrated with world-class word counting metrics.
Enterprise-grade linguistic analysis to distinguish between human-authored and synthetic AI-generated content with 98% accuracy.
The AI Content Detector by SEOToolsAA leverages advanced Natural Language Processing (NLP) and machine learning models to analyze the predictability and structural patterns of text. Built for the 2026 digital landscape, it goes beyond simple pattern matching by evaluating 'Perplexity' and 'Burstiness'—two core metrics that differentiate human cognitive variance from the consistent probability distributions of LLMs like GPT-4o, Claude 3.5, and Gemini Ultra. The tool's architecture employs a multi-layered neural network trained on a massive corpus of both human-written and AI-generated datasets to identify subtle markers such as repetitive syntax and lack of semantic nuance. For SEO professionals, this tool provides a critical safety net against search engine penalties associated with low-quality, automated content. Its 2026 iteration includes deep-scan capabilities that can detect 'humanized' AI content—text that has been run through paraphrasing tools. By providing a granular, sentence-level heatmap of probability, it allows editors to pinpoint exactly which sections of a document feel synthetic, enabling rapid high-value human intervention. The platform is optimized for high-volume workflows with API support and bulk processing features.
Measures the randomness of text relative to known LLM patterns.
Professional-grade AI content verification integrated with world-class word counting metrics.
Enterprise-grade linguistic analysis for identifying LLM-generated content across multi-model architectures.
Professional-grade linguistic analysis to distinguish between human-authored and LLM-generated content with high-granularity scoring.
Enterprise-grade forensic engine for high-precision AI content verification and linguistic integrity.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Evaluates the variation in sentence length and structure.
A recursive engine designed to catch content modified by tools like Quillbot.
Cross-references text against fingerprint databases of specific models like Claude, Gemini, and Llama 3.
Visual representation of AI probability per word and sentence.
Accepts a list of URLs and scans the body content of each page.
Encrypted storage of all previous scans for verification tracking.
Ensuring freelance writers are not submitting 100% AI-generated articles.
Registry Updated:2/7/2026
Identifying low-quality AI content that might be suppressing search rankings.
Educational institutions checking student submissions for LLM usage.