Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.

Advanced linguistic analysis for high-precision human-vs-AI text differentiation.
The AI Content Detector by SEOTools2 is a sophisticated linguistic analysis engine designed to evaluate the origin of textual data by measuring two primary metrics: Perplexity and Burstiness. Operating in the 2026 market landscape, where AI-generated content has become increasingly indistinguishable from human prose, this tool utilizes advanced LLM fingerprinting to identify patterns typical of models like GPT-4, Claude 3.5, and Gemini Ultra. The technical architecture relies on a large-scale probability matrix that calculates the likelihood of the next token in a sequence; high predictability correlates with machine generation. Positioned as a mission-critical utility for SEO professionals, the tool helps maintain search engine compliance by ensuring content meets E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) standards. It provides a sentence-by-sentence breakdown, allowing editors to pinpoint specific sections that require humanization. Unlike basic detectors, SEOTools2 integrates a feedback loop that updates its detection algorithms as new LLM versions are released, maintaining a competitive edge in accuracy and reducing false positives in creative or technical writing.
Measures the randomness of text; AI models aim for low perplexity, while human writing is typically more complex.
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Forensic-level AI content detection and advanced humanization for SEO-proof content.
Transform AI-generated text into undetectable, human-grade content with advanced linguistic humanization.
A non-profit open-source detector for educational integrity and transparent AI verification.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Analyzes the variation in sentence length and structure across the document.
Cross-references text against specific stylistic signatures of GPT, Claude, and Llama.
Linguistic analysis applied to over 30 languages using universal grammatical heuristics.
Uses a heatmap overlay to show which specific parts of a paragraph are flagged.
Attempts to link detected patterns to known AI training datasets.
Identifies common 'AI humanizer' patterns like intentional typos or synonym swapping.
Ensuring student essays are original and not generated by AI chatbots.
Registry Updated:2/7/2026
Protecting site rankings from search engine penalties targeting mass-produced AI content.
Ensuring freelance writers are delivering manual work and not using shortcuts.