Skip to main content

​
Direct answer

Use Monitor > Insights > Query Fan-Out to inspect web queries observed during monitored activity, then open the associated stored answers. Mark a gap only when the audience need is relevant and no SELF mention appears in that selected answer set.

​
Data required

You need observed Query Fan-Out records, their associated configured prompts and stored answers, provider, topic or tag, period, and SELF/DIRECT classifications. GSC queries are a separate traditional-search dataset.

​
Workflow

1

Choose a relevant scope

Filter to a business-relevant topic, provider set, and period. Exclude observed searches unrelated to your product or audience.
2

Inspect observed searches

Review the recorded web queries and group them by audience need. Do not treat the list as a universal query inventory.
3

Check the associated answers

Read the stored answers and identify whether SELF, DIRECT, or neither is mentioned. Keep mentions separate from citation URLs.
4

Create a monitoring decision

Add a representative configured prompt only when the gap is important enough to track consistently. Record why it was selected.

​
Interpretation

Query Fan-Out represents observed web searches, while a prompt is the configured question Qwairy monitors. Product Coverage is distinct answered prompts with at least one SELF mention divided by distinct answered prompts. That metric does not measure the share of all possible web queries.

​
Possible next actions

  • If several observed searches express the same unmet need, test one representative prompt before expanding the monitoring set.
  • If DIRECT brands appear but SELF does not, inspect their cited sources and positioning as hypotheses for further research.
  • If a query is relevant but unsupported by your existing content, evaluate a content experiment with a documented baseline.

​
Limitations

Observed Query Fan-Out data is partial and provider-dependent. Absence in selected stored answers does not mean the brand is absent from every answer or search. Adding prompts changes the monitored dataset and can affect later aggregate comparisons.

Exports

Export a filtered dataset for review.

Search Insights

Report on the documented search-insights source.

Query Fan-Out

Understand observed web query data.

Choose what to create

Turn a relevant gap into a content hypothesis.

Keywords for AI research

Build a research vocabulary without conflating units.

Visibility over time

Compare stable monitored cohorts.