EdgeComet Log Analyzer vs SEO Log Auditor

EdgeComet Log Analyzer records search-engine and AI-crawler requests together with the page state each bot received, helping teams examine crawling and indexing. It covers bots such as Googlebot, Bingbot, GPTBot, ClaudeBot, and Perplexity. For each request, it can show the title, meta description, canonical, robots directives, hreflang, and structured data in the HTML served to the bot. Requests are classified as valuable, questionable, or wasted, with causes such as errors, redirects, blocked URLs, non-canonical pages, and render errors. Bot identities are checked against published IP ranges, with 35 real identities supported for verification. Collection requires routing bot requests through EdgeComet via a CDN or proxy; it does not import or parse log files. Supported routing platforms include Cloudflare Workers, Fastly VCL, AWS CloudFront Lambda@Edge, and nginx. The product also offers an HTTP API, an MCP server, and an Apache-2.0 open-source rendering and caching core that can be self-hosted. Professional costs $99 a month. There is no free plan; a 14-day trial is listed.

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.