AI Bot Log Analysis and Verification
Reading raw server logs to see how often each AI crawler visits, which directories it prefers, and what responses it receives, while verifying identity so that impersonators can be separated from the real ones.
Analogy Mental model
The doorman recording which inspectors came, which shelves they checked, and scanning badges to catch the thief who printed a uniform with the right logo.
In practice What you actually do
Build a filtered view matching the known crawler names, then read it as a health signal. High-frequency visits to your guides and comparison pages mean the site is active in the retrieval pool; zero visits mean something upstream is blocking, and that is the first thing to investigate.
Where people get burned Pitfalls
The major providers publish machine-readable lists of their crawler address ranges. Allowlisting should validate both the declared name and the source range, because the name alone is trivially forged.
This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →