SpamBrain

SpamBrain is Google's AI-based spam detection system. Its most practically relevant aspect is 'scaled content abuse': the mass production of content following the same pattern every time, without genuine editorial added value. A typical example is thousands of location pages that only plug variables (city name, coordinates, measurement data) into a template, with no human editorial quality check.

A machine learning system (ML) that detects spam patterns in content. It delivers a binary spam verdict (spam or not spam), not a quality score.

SpamBrain is a machine-learning (ML) system against spam. The named aspect 'scaled content abuse' = mass-produced thin content. It delivers a spam verdict, not a substance score. [B field, O system]

Only Trust. SpamBrain is pure trust protection: it protects search results from content that tries to deceive the system.

For sites with many auto-generated pages: pure template pages without editorial added value are a SpamBrain risk. Real added value per page protects against being classified as 'scaled content abuse'. Examples are local peculiarities, historical context and own measurement data. Scaling content production must be flanked by quality assurance.