Expose Fake Bots, Protect Your Traffic
As a branding curator I recommend this hands-on analysis, it exposes a critical blind spot many teams ignore. Duane Forrester shows 81.8 percent of claimed AI assistant visits were impostors, and Googlebot claims were far worse. The post walks through a simple IP verification approach anyone can run today. It includes code and practical checks you will copy. If you care about accurate crawl metrics and data integrity, read this. It turns a noisy log line into an actionable checklist for defending endpoints. It teaches a repeatable verification method you can adopt this afternoon.
Expect sharp takeaways, concrete examples, and a compact Python snippet that proves the checks. The article documents impersonators probing for .env files and secrets, and it shows how IP checks caught every scanner. Googlebot claims were mostly false, which is a sober reminder to verify rather than trust user agent strings. The author also demonstrates chasing unverifiable cases, using reverse DNS, WHOIS, and corpus queries to close the loop. This is essential reading for SEOs, site owners, and security teams who measure crawler traffic and protect sensitive endpoints. Run the checks and share your results.
Source: www.searchenginejournal.com
