AuditLabs SEO Log File Analyzer vs Spider-Lens

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.

Spider-Lens is a free, open-source application for analyzing Apache and Nginx server logs. It monitors traffic, HTTP errors, crawler bots and server performance through a dashboard covering requests, human visits, error rates, HTTP status trends, bot distribution and 12-week patterns. Crawler monitoring detects 16 or more bots and shows crawl budget and crawler volume. Performance reports include Time to First Byte by URL, configurable slow thresholds and CSV or Excel export. A sitemap crawler follows internal links and records titles, H1 headings, word counts, canonicals, robots directives and crawl depth. SMTP alerts and webhooks can report 404 spikes, server errors, missing Googlebot and weekly summaries. The project documents Discord, Slack and an MCP server integration. It runs as a Node.js application or native WordPress plugin, with no Node.js required for the plugin. Node deployment requires Node.js 18+, npm 9+ and log access. The interface lists 16 languages and automatic browser-language detection. Nova uses Gemini when configured.