AI Search Analytics
Bring sampled answers, brand mentions, citations and competitor observations into a review your team can use. AI search analytics is most useful when the summary stays connected to the underlying evidence.
Define each number
Record the scope, counting rules and period for every metric. A mention rate, recommendation label and share of voice are different measures. A combined score should not hide missing runs or a change in the prompt set.
Segment before assigning work
Look at discovery, comparison and brand-verification questions separately, then inspect engine-level results. For example, a low total driven by one new prompt group may not represent a decline in established coverage.
Connect reporting to decisions
Keep a record of the finding, original answer, affected URL, proposed action and owner. Review whether the work improved the page and what happened in later samples. A chart cannot establish which edit caused an answer to change.
Using this in Seeqly
Start with a campaign and review the questions against the audience you want to understand. Inspect individual results before sharing a summary. See the campaign planning guide for a worked approach.
Coverage, run frequency and account limits depend on your plan. Check current pricing for the available options. Monitoring records answers under particular conditions; it does not guarantee recommendations or traffic.