Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Instant, zero-friction AI content detection for SEO and content integrity.
AI Detector by Word Tips is a high-velocity utility designed for the 2026 content ecosystem, where the distinction between human-authored and LLM-generated text is critical for SEO and brand trust. Technically, the platform utilizes a combination of perplexity analysis and burstiness metrics to determine the likelihood of AI generation from models including GPT-4o, Claude 3.5, and Gemini Pro. Unlike enterprise-grade platforms that require complex API integrations and heavy subscriptions, Word Tips positions itself as a lightweight, browser-based 'First Response' tool. Its architecture is optimized for speed, providing near-instantaneous scoring by analyzing linguistic patterns and syntactical repetition characteristic of transformer-based models. As we move into 2026, Word Tips remains a staple for digital marketers and editors who require a no-login-required solution for rapid content verification. While it lacks the deep watermarking technology of some forensic tools, its accessibility and zero-cost barrier make it a high-volume entry point in the AI transparency market.
Measures the randomness of text; lower perplexity suggests higher likelihood of AI generation.
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.
Evaluates the variation in sentence structure and length across the document.
The detector is periodically fine-tuned on datasets from the latest LLM releases (GPT, Claude, Llama).
Client-side processing logic ensures that analyzed text is not stored in a persistent database for model training.
Responsive web design utilizing lightweight JS frameworks for mobile-first detection.
Statistical weighting that adjusts the final score based on the total word count to reduce false positives in short text.
Simultaneous analysis for markers from various model architectures.
Ensuring content commissioned from freelancers won't be flagged as 'spammy' or 'low-effort AI' by search engines.
Registry Updated:2/7/2026
Quickly scanning student submissions for potential AI assistance before more formal reporting.
Filtering out low-quality AI-generated guest post requests in bulk.