Cloudflare AI Crawler Monitoring Workflow | Trakkr
Cloudflare AI crawler monitoring
Turn Cloudflare AI Crawl Control into an AI visibility workflow: see which AI services reach your site, which paths they request, and whether crawler access lines up with Trakkr visibility changes.
Explore crawler monitoring Read crawler docs
Workflow setup
Prerequisites
- A site proxied through Cloudflare and a read-only API token for the zone.
- A clear list of high-value pages, docs, pricing pages, and policies AI systems should find.
- A Trakkr brand with crawler tracking, visibility prompts, or citation monitoring enabled.
Setup steps
Open AI Crawl Control for the zone
Start with visibility before enforcement. Confirm Cloudflare is seeing AI crawler activity on the domain and note the time window you will compare in Trakkr.Review AI traffic analytics
Inspect request paths, bot groupings, status and time windows. Keep the analysis page-path based, not just bot-name based.Connect the read-only source
Connect Cloudflare to Trakkr with the requested read-only scope. Trakkr reads server-side analytics, which can be aggregated or sampled rather than exact request logs.Compare crawler access to visibility outcomes
Map crawler hits to the pages Trakkr sees cited, recommended, or missing in AI answers. Look for important pages that never receive AI crawler requests.Create an action loop
Use Trakkr actions and workflows to investigate request spikes, blocked paths, access gaps, and pages with request evidence but no separately observed citation.
What to measure
| Metric | Why it matters | Cadence |
|---|---|---|
| AI crawler requests by path | Shows whether crawlers reach the pages that matter for recommendations... | Weekly |
| User agents and bot families | Separates training, search, assistant, and preview traffic when exposed. | Weekly |
| Response status and request timing | Helps investigate bursts, blocks and response changes around launches. | Daily during launches |
| Crawler access versus AI visibility | Turns raw crawl logs into a decision: fix access, improve content... | Monthly |
How Trakkr fits
Trakkr connects Cloudflare crawler signals to prompts, citations, competitors, and actions.
Crawler spikes can become workflows for review, stakeholder updates, or technical fixes.
Access checks keep robots.txt, WAF order, HTTP status and advisory llms.txt evidence separate.
Checks and sources
Common mistakes
- Blocking an AI crawler before you understand which pages it is requesting.
- Treating every AI user agent as the same kind of traffic.
- Looking only at total hits instead of the paths tied to visibility and citations.
Official sources used
FAQ
Can Cloudflare show AI crawler traffic?
Yes. Cloudflare AI Crawl Control exposes AI crawler analytics such as crawler groupings, user-agent signals, request paths and response outcomes. Detail and retention can vary by plan.
Should we block AI crawlers by default?
Not usually. First understand which AI services request which pages, then decide where control is appropriate. Visibility and citation goals may require some pages to remain accessible.
How does Trakkr use Cloudflare crawler data?
Trakkr compares the request signal with separately observed citations, prompts and referral traffic by page and time window. It does not claim that a request caused an outcome.
Next workflows
Cloudflare workflow
Start with crawler visibility, then decide what to control.
Use Cloudflare for the raw request signal and Trakkr for the visibility, citation, and action layer around it.