Example requests

Start by selecting a project. These requests are examples you can adapt to the saved data available in your workspace.

Review an AI Visibility audit

Read the latest completed visibility audit for this project.
Name the exact audit, engines and prompt cohorts used.
Separate brand mentions, owned citations and competitor appearances.
Show the saved answers that support the main findings, including failures
or coverage limits that affect interpretation.

Use this when you need a report that can be checked against the actual answers.

Investigate cited sources

For the selected audit, identify recurring source domains and inspect
their URLs. Keep brand co-occurrence in an answer separate from a
confirmed brand mention on a publisher page.
Suggest which URLs deserve inspection, without claiming they caused visibility.

Use this before deciding which external pages to investigate or discuss with your team.

Prepare a website fix brief

Read the latest completed Site Health crawl.
Summarize Web and AEO scores alongside coverage.
Choose three confirmed issues and identify affected pages and evidence.
Keep unresolved diagnostics separate. Prepare a brief for human review.

This prepares work for review; it does not modify the site.

Review search performance

List the available performance windows, then use the most recent complete
month with a compatible preceding month if both are available.
Show exact dates and limitations. Inspect query and page breakdowns
without reconstructing missing headline totals from dimension rows.

If the requested windows do not exist, have the client report what is available before proceeding.

Explore Search Intelligence

List saved Search Intelligence datasets, including target, market,
scope, acquisition time and coverage.
Wait for me to choose a dataset before reading its rows.
Do not acquire or refresh data.

After choosing, narrow the question to a keyword, competitor or backlink investigation at that dataset’s actual grain.

Check a proposed next step

Read the current opportunities and verify the most relevant items
against the underlying saved evidence.
Separate owned-site work from external-source work.
For each proposal, state what is measured, what is inferred and which
later observation would be needed to evaluate it.

Treat the assistant’s proposal as reviewable work, not a completed implementation.