TREE NEWS update: Google has introduced a new ‘goto’ jump parameter in its search result links, aimed at mitigating the impact of AI crawlers. This change redirects users through an intermediate page, making it harder for automated bots to scrape search results directly. The move reflects growing tensions between content platforms and AI-driven data harvesting.
Google Search Adds ‘goto’ Redirect Parameter to Thwart AI Crawlers
This is a quiet but telling escalation in the arms race between search platforms and AI data harvesters. By adding a redirect layer, Google is raising the cost of bulk scraping, which could slow the flow of fresh, real-time search data into AI training sets and retrieval pipelines. The immediate effect lands on AI firms and researchers who rely on search-result signals, not on everyday users. What matters next is whether other platforms follow suit with similar friction tactics, and whether crawlers find workarounds that spark a cat-and-mouse cycle. For the RWA and crypto markets, where sentiment and discovery often ride on search visibility, any degradation in data access could subtly skew how AI-driven analytics interpret market narratives.
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