SpamBrain

Google's AI-based spam detection system. The most practically relevant aspect is 'scaled content abuse' — the mass production of content following the same pattern every time, without genuine editorial added value. Typical example: thousands of location pages that just plug variables (city name, coordinates, measurement data) into a template, without any human editorial quality check.

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

An 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 — local peculiarities, historical context, own measurement data — protects against being classified as 'scaled content abuse'. Scaling content production must be flanked by quality assurance.