Useful measurement starts with a decision. Are customers finding the right service page? Is your business accurately described? Did an approved change reach the live site? Those questions need different evidence.
Use four views
- Website findings: the issues detected on the pages actually scanned.
- Delivery evidence: attempted changes, receipts and live verification.
- AI responses: sampled mentions and returned citation links.
- Business analytics: recorded search clicks, sessions and configured key events.
AnswerMetrix supports Perplexity, ChatGPT, Claude, Gemini, Grok and DeepSeek. It records direct URL citations from Perplexity and mention-based evidence for the other five. Inspect available excerpts and sources with their dates, prompts and coverage. Some responses have no saved excerpt; a missing response is not a measured absence.
Compare like with like
- Use the same metric, comparable query scope and clear date ranges.
- Check provider availability and freshness before interpreting a difference.
- Keep failed attempts separate from completed snapshots.
- Do not smooth away a decline or substitute missing data with zero.
Set a review rhythm
Choose a review interval that fits the work and available evidence. A monthly check can help a team stay organised, but provider crawling and retrieval determine when new observations appear. Record those dates instead of promising a results deadline.
Make the review useful
Record what was changed, inspect the evidence and choose one next step. For enquiries or sales, validate your analytics configuration and ask customers how they found you. A score is not a revenue attribution system.
Start from the findings you already have. Run a fresh scan when the site has changed or the evidence is too old for your decision, and check your plan allowances first. Saved reports remain available without starting another analysis.
