AI Crawlers, Block Or Measure Their Value First?
Clear, actionable advice meets strategic thinking in this Ask An SEO piece, making it essential reading. The author breaks down AI crawler types. Examples include training bots, search indexing bots, and user triggered fetches. You will learn how to measure referral traffic, citations, sentiment, and crawl cost, so your decisions are rooted in data. The article explains server and WAF level protection, and how robots.txt may no longer reliably control all crawlers. If you need a defensible framework to decide which crawlers to keep, restrict, or block, start here.
Read this if your server logs, or finance team, are flagging unexpected crawl costs. The decision matrix offers simple, practical questions to rate each bot, from keep to restrict to block. You will get measurable criteria, including conversions, citations, sentiment, and strategic future value. The guide also warns about competitive risk if you block every AI crawler without analysis. Use log file analysis, referral signals, and AI visibility tools to build evidence. Schedule quarterly reviews, so your crawler policy stays aligned with evolving platforms and brand priorities. This piece equips you to protect brand equity while optimizing discovery.
Source: www.searchenginejournal.com
