SearchSeal vs DIY log analysis
Your access logs already record every AI crawler request. With grep, GoAccess or a log pipeline, you can analyze them yourself.
Honest answer: everything SearchSeal shows is derived from ordinary access logs. You could grep this yourself. Here is what you would be building.
DIY log analysis measures
- Every request to your site, including every AI crawler, in raw form
- Whatever you build on top: scripts, dashboards, alerts
- Full control, no third party involved
SearchSeal measures
- Real requests from AI crawlers to your site: GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot and others
- Which pages each crawler read, and the HTTP outcome of every request
- Whether robots.txt or your host is blocking a crawler
- Observed counts with labeled coverage. Unknown is shown as unknown, never as zero
Side by side
Bot identification
DIY log analysis
You maintain the user agent list as new crawlers appear
SearchSeal
Maintained crawler list, updated for you
Robots.txt verdicts
DIY log analysis
You cross-reference robots.txt by hand
SearchSeal
Allow, partial or block verdicts per crawler
History
DIY log analysis
As long as you keep and rotate your logs
SearchSeal
Kept for you, re-checkable
Programmatic access
DIY log analysis
grep, awk, or whatever you build
SearchSeal
REST API and MCP server
Cost of your time
DIY log analysis
Engineering time to build and maintain
SearchSeal
About 3 minutes to connect
When DIY log analysis fits
You enjoy this kind of work, you already run a log pipeline, or your compliance rules keep logs in-house. Genuinely fine choices.
When SearchSeal fits
You want the same evidence without building or maintaining anything, and you want your AI agents to query it over MCP.