Server log analysis
Reviewing web-server request logs to understand crawler and visitor behavior.
What is Server log analysis?
Server logs capture requests that browser analytics can miss, including many bots. Analysis can reveal response codes, crawl waste, orphaned pages, and AI crawler activity without adding a client-side script.
In practiceWhat does this look like in a real AI answer?
A team finds that an AI crawler repeatedly receives 404 responses for old documentation URLs.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding server log analysis helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.