AIDetector.pro
Forensic-level AI content detection and advanced humanization for SEO-proof content.

The first entity-based semantic SEO platform for automated internal linking and schema generation.
InLinks is a specialized semantic SEO platform designed to transition websites from traditional keyword-based optimization to modern entity-based search strategies. Its core technical architecture revolves around a proprietary Knowledge Graph and Natural Language Processing (NLP) engine that analyzes a website's content to identify specific concepts or 'entities.' By installing a single line of JavaScript code, InLinks automates the creation of internal links and the generation of advanced JSON-LD schema (About/Mentions), which are crucial for search engines to understand page context in the age of LLMs and RAG. In the 2026 landscape, where AI-driven search engines prioritize entity relationship data, InLinks provides a critical automation layer for SEOs. It allows for the dynamic management of link equity and topic clusters without manual developer intervention. The platform's ability to audit content based on semantic density rather than keyword frequency ensures that assets are primed for Google's Knowledge Vault and other semantic indexes, making it an essential tool for enterprise-level content architectures and niche publishers alike.
Uses proprietary NLP to build a site-specific knowledge graph that connects pages based on semantic relationships rather than exact match anchor text.
Forensic-level AI content detection and advanced humanization for SEO-proof content.
Enterprise-grade linguistic fingerprinting to distinguish human craft from synthetic generation.
Advanced linguistic analysis to distinguish human creativity from algorithmic generation.
Enterprise-grade linguistic analysis to distinguish between human-authored and machine-generated content with 98% accuracy.
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Dynamically generates 'About' and 'Mentions' schema, linking entities in the content directly to Wikipedia and DBpedia URLs.
A JS snippet injects links in real-time, allowing users to add or remove links across thousands of pages via a central dashboard.
Analyzes the top 10 search results to identify missing entities in the user's content compared to high-ranking competitors.
Automatically detects questions within the content and wraps them in FAQPage JSON-LD structure.
Tracks specific entities across social media platforms to identify trending topics for content updates.
Processes entities across 10+ major languages using the same underlying knowledge graph logic.
Large e-commerce sites struggle to link product pages back to relevant category pages efficiently.
Registry Updated:2/7/2026
Ensuring a main pillar page receives all possible internal authority from sub-topics.
Fast-moving news content requires immediate schema markup to gain visibility in search carousels.