Split-screen illustration showing traditional search engines blocking AI content with red "BLOCKED" stamps and declining graph lines on the left, while AI discovery systems (GPTBot, ClaudeBot, Perplexity) actively crawl and surface the same content with ascending data streams and glowing neural network nodes on the right, demonstrating systematic search discrimination versus AI-powered content discovery.

How Search Engines Discriminate Against AI Content (With Data)

When I launched EngineeredAI.net, Google rejected 82% of my pages despite identical technical setup to my other successful blogs. Meanwhile, AI bots generated 102k requests in 30 days. This case study documents systematic search engine discrimination against AI-focused domains with real GSC, GA, and server log data – proving that AI discovery systems are outperforming traditional search by orders of magnitude.

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