AI Crawler Control
Analyze crawler identity, IP/ASN, request frequency, and behavior patterns. Build safe allow/deny policies and rate limits.
We optimize Web infrastructure, CDN caching, rate limits, and edge controls so AI crawlers and search bots can index your store without turning your origin into a bottleneck.
$ aweb-mage monitor --live AI requests 18,421 / min origin load 31% cache hit ratio 97.8% bad bot traffic blocked 8,412 edge → rate-limit → cache → origin protected
Designed around full-page caching, Varnish/Fastly, Redis/Valkey, PHP-FPM, MySQL, OpenSearch, CDN and WAF layers.
We do not blindly block AI. We separate useful indexing from abusive automation and real shoppers, while keeping your revenue paths available.
Analyze crawler identity, IP/ASN, request frequency, and behavior patterns. Build safe allow/deny policies and rate limits.
Move repeatable traffic to the edge with cache-control, stale-while-revalidate, cache keys, and origin shielding.
Tune Nginx, PHP-FPM, Redis/Valkey, MySQL, OpenSearch, queues, connections, timeouts, and Web bottlenecks.
Route-aware limits for crawlers and automation with graceful responses instead of taking down the application.
Track RPS, latency, CPU, RAM, 4xx/5xx, cache hit ratio, origin load, and crawler growth.
Improve crawl efficiency with sitemap, robots.txt, canonical signals, headers, crawl controls, and indexable storefront URLs.
Map the last 7–30 days of traffic: who is crawling, which URLs are hit, request volume, and what actually consumes origin resources.
Design caching, CDN, rate limits, and crawler policies without compromising legitimate search visibility.
Roll out changes in stages with observability, testing, and a fast rollback path.
Monitor production behavior and continuously tune controls as traffic patterns change.
Final pricing depends on your Web architecture, traffic volume, and SLA requirements.
Get an initial infrastructure assessment and a clear next-step plan.