Multiple SEO tools now track AI bot activity, though coverage and granularity vary. Cloudflare's analytics dashboard identifies GPTBot, Claude-Web, Anthropic-AI, Google-Extended, and other AI crawlers in their bot management reports. Semrush added AI bot tracking to their Sensor tool in late 2023, letting you see which pages AI models are crawling. DataForSEO's log analyzer specifically segments AI training bots from traditional search crawlers. Originality.ai built detection specifically for AI content scrapers and offers real-time alerts when AI bots access your content. Log analysis tools like Screaming Frog Log File Analyzer let you filter server logs by user agent to identify patterns from ChatGPT, Perplexity, Bard, and similar bots. Most enterprise platforms like Adobe Analytics and Google Analytics 4 can track these via custom dimensions if you configure bot filtering rules properly. The challenge is that AI companies don't always use consistent user agents, and some rotate identifiers to avoid detection. You're tracking what they choose to disclose. Key bots to monitor include GPTBot (OpenAI), Google-Extended (Google's AI training crawler separate from Googlebot), CCBot (Common Crawl used by multiple AI firms), anthropic-ai, and PerplexityBot. At Ottawa SEO, we run custom log analysis for clients in our portfolio who want to understand AI scraping patterns, particularly for content-heavy sites where training data extraction matters. We've seen AI bot traffic range from 2-8% of total crawl volume on publishing sites, nearly zero on pure e-commerce. The practical question isn't just whether you can track these bots, but whether you want to block them via robots.txt. Blocking GPTBot means your content won't train ChatGPT but also won't appear in ChatGPT search results, which is becoming a discovery channel. That tradeoff matters more than the tracking itself. If you're monitoring, focus on which content they access most and whether they respect your robots.txt directives, since compliance varies significantly across AI companies.