KunatoCrawler

Proceed with caution. Without documentation, it's impossible to know if these agents benefit or harm your interests. Consider monitoring their behavior and blocking them if they consume excessive resources, ignore rate limits, or appear to be collecting data without clear purpose.

If you want to, you can block or limit KunatoCrawler's access by configuring user agent token rules in your robots.txt file. The best way to do this is using Automatic Robots.txt, which update automatically as new agents are discovered. While the vast majority of agents operated by reputable companies honor these robots.txt directives, bad actors may choose to ignore them entirely. In that case, you'll need to implement alternative blocking methods such as firewall rules or server-level restrictions. You can verify whether KunatoCrawler is respecting your rules by setting up Agent Analytics to monitor its visits to your website.

The SEO impact of blocking undocumented AI agents is unclear since their purpose is unknown. They could be experimental search crawlers, data collection tools, or deprecated services. Monitor your search performance after blocking to identify any unexpected ranking changes.

The scope of undocumented AI agents is unclear since their purpose and configuration are unknown. They could be limited to public content like most crawlers, or they might attempt to access protected resources depending on their intended function. Without documentation, it's impossible to determine their access boundaries or privacy practices.

Setting up Agent Analytics will give you realtime visibility into KunatoCrawler visiting your website, along with hundreds of other AI agents, crawlers, and scrapers. This will also let you measure human traffic to your website coming from AI search and chat LLM platforms like ChatGPT, Perplexity, and Gemini.

KunatoCrawler may have found your site through various discovery methods including following links, processing sitemaps, or being directed to specific content. Without official documentation, it's unclear exactly how this agent selects which sites to visit or what triggers its access to your particular content.

Agent Analytics authenticates agent visits from many agents, letting you know whether each one was actually from that agent, or spoofed by a bad actor. This helps you identify suspicious traffic patterns and make informed decisions about blocking or allowing specific user agents.