AuditLabs SEO Log File Analyzer vs SEO Log Auditor

AuditLabs SEO Log File Analyzer examines web server access logs to identify AI bot traffic, referrals from language-model services, and crawler behavior. It detects bots including GPTBot, ClaudeBot, and Perplexity, and can identify referrals from ChatGPT and Claude. Crawl analysis covers patterns, session depth, and navigation flows. Upload formats include CSV with headers, JSON, JSON Lines, Apache/nginx combined logs, and Cloudflare logs. Users can preview files and map columns so fields are detected correctly. A detailed report is available to download, but full results require a free account. AuditLabs estimates processing times from 10–30 seconds for files under 100 MB to 3–15 minutes for files above 1 GB. Free accounts allow 20 standard runs and 2 heavy runs per month, with 1.5 GB maximum per upload. Supporter costs $7.99 a month and includes 200 tool runs monthly, uploads up to 3.5 GB, priority processing, and email support. AuditLabs says its tools are built by SEO practitioner Antonio Maculus, Director of AI Content Strategy at Better Collective.

SEO Log Auditor analyzes server access logs to show how search bots crawl a site. It accepts nginx and Apache logs and provides seven views: crawl budget, orphan URLs, status waste, stale pages, performance, bot verification, and parameter traps. Reports can break down requests by user agent and highlight bot-to-human ratios, compare bot-accessed URLs with sitemap and internal-link signals, and rank frequently crawled non-200 responses. Other views flag URLs not visited by a major crawler in 30 or more days and surface slow pages by server response time. Bot verification compares declared user agents with known reverse-DNS signatures to help identify Googlebot or Bingbot impersonation. Parameter analysis surfaces URL patterns with high variation, such as session IDs, filters, and sorting. The app runs locally on a laptop without a database or cloud dependency; its maker describes it as having no telemetry or log upload. A repository workflow also describes Grafana/Loki exports in JSON, CSV, or plain text, plus a sitemap URL; direct Loki API streaming is a roadmap item. It uses Python, Streamlit, and Pandas, and is MIT-licensed.