Practical guide · Search topic: AI traffic report for a website
Build a useful AI traffic report for your website
A useful AI traffic report lets a reader trace each number back to a source and a page. Keep the report small: identify the assistants your system can recognise, show landing pages and outcomes, and distinguish observed clicks from measured visibility.
What the query can—and cannot—measure
Choose one reporting period and a consistent comparison period. Include total visits, AI-source visits, source mix, top landing pages and a defined goal if available. Show the sample size; if it is small, describe examples and avoid trend language. Keep a note of tracking or site changes.
A practical way to do it
Use the same filters each time and preserve raw source values. Add a separate citation or brand-mention section only if it comes from a defined, repeatable answer-checking dataset.
A useful checklist
- Set a date range and source rule.
- Show assistant, landing page and verified goal counts.
- Add sample-size and coverage notes.
Limits to keep in mind
A dashboard cannot show prompts or unclicked mentions unless another research system supplies those observations.
Questions
How often should I report AI visits?
Choose a cadence that matches volume; small samples need longer windows.
Should I report share of voice from referral data?
No. Referral counts measure clicks, not brand mentions in answers.
Sources and further reading
Related pages
AI search referrals · quietstats cookie-free analytics Top landing pages by source · quietstats cookie-free analytics Goals and funnels · quietstats cookie-free analytics
Put your traffic in context
Explore the product, its measurement method and pricing before choosing a tool.