A crawl-log review becomes more useful when it starts with a specific question. For example: are requests to the product-guide routes receiving the expected responses after a migration? That question is easier to answer than “What are bots doing on our site?”
Define the route family, observation period, and source of the logs. Confirm which layer the records cover: application, origin server, edge, or another system. Missing records at one layer do not automatically mean no request occurred anywhere.
This worksheet uses hypothetical observations. No real server logs, visitor identities, or crawler activity are being reported.
Verify identity before assigning a crawler label
A user-agent string can claim a crawler identity. Treat that string as an initial classification field rather than conclusive verification. Google's request-verification guidance, checked September 9, 2026, describes verification methods, including matching addresses against its published crawler and fetcher ranges.
Record the verification method and result. Keep different crawler or fetcher categories separate when their purposes differ. A user-triggered inspection request should not silently become evidence of routine discovery crawling.
If the required address or verification information is unavailable, label the identity unverified. Do not upgrade a guess into a verified Googlebot count because a report needs a complete table.
Build a minimal evidence table
Collect only the fields needed for the review and handle raw logs according to your organization's access and retention rules.
| Field | Why it matters |
|---|---|
| Timestamp and time zone | Connect requests with the deployment and observation window |
| Normalized route and raw path reference | Group the family without losing important URL differences |
| Status and redirect destination | Identify actual response behavior |
| Claimed and verified crawler identity | Separate the header claim from verification |
| Log layer and coverage | Explain what the records can and cannot show |
Avoid publishing raw addresses or sensitive query parameters in an editorial report. A redacted route-family summary can communicate the finding without exposing unnecessary operational data.
Work a small diagnostic example
Suppose a fictional review finds twelve verified requests in the selected period: six to a repeatedly requested asset, four to guide pages, and two to retired guide paths. The twelve requests are not twelve distinct articles crawled. Group by resource type and unique URL before interpreting coverage.
Next inspect the two retired paths. If both were meant to redirect to relevant successors but returned errors, compare them with the approved migration map. That creates a concrete repair task. If retirement was intentional, the responses may already be correct.
The four guide requests establish that those requests were observed at the selected logging layer. They do not prove the pages were indexed, ranked, or used in an AI answer. Keep those later outcomes in separate evidence fields.
Investigate patterns before expanding the review
Look for repeated errors, unexpected redirects, requests concentrated on filter variations, and important routes absent from the observed set. Treat absence carefully: the time window and log coverage may be too limited to support a strong conclusion.
Compare the timing with actual releases. If failures begin immediately after a route change, investigate that relationship, but do not call it proven causation until the route behavior explains the error. Preserve a small before-and-after sample where available.
Use the discovery diagnosis to connect logs with links, sitemaps, and page behavior. Finish with a bounded finding, the evidence limits, and a named repair or follow-up. A log review should clarify an operational decision rather than turn request volume into a vanity metric.