Match the table to the decision

A page view answers which destinations receive search attention. A query view answers which visible searches are associated with that attention. Start by naming your decision before choosing the table: updating an article, studying a subject, or checking whether the intended landing page appears.

For an article revision, begin with its URL and then examine associated queries. For a topic investigation, begin with the query group and then inspect the pages. Reversing that sequence can be useful as a cross-check, but it should not change what question the investigation is trying to resolve.

Keep the dimensions attached to your numbers

Write down the date range, search type, property, and active filters before exporting. A number without these settings becomes difficult to interpret when another teammate tries to reproduce it. Name files with the scope rather than labeling everything SEO data.

Google documents differences in aggregation and reporting that can make chart and table totals diverge. Avoid forcing the numbers to match by discarding rows or inventing adjustments. Retain the original export and record which view each total represents before constructing any derived comparison.

Hypothetical example: the wrong page gets attention

Imagine a company wants its integration guide to answer setup questions. A query investigation shows that its broad product page receives those impressions instead. Starting only from the guide's page report would reveal little because that guide has limited exposure.

The team reviews whether the guide is linked clearly and whether its introduction directly addresses setup. It also checks whether the broad product page already satisfies the same need. The observation supports an investigation into page purpose, not an automatic conclusion that one page must be deleted.

Build a two-direction review

Select an important page and list the questions represented in its query rows. Mark which questions the article already answers, which deserve clarification, and which belong on another page. Then choose a few important query groups and confirm which pages receive their impressions.

This process exposes both missing answers and mismatched destinations. Keep editorial decisions in a separate column from observed data. For example, observed: pricing queries appear for a general overview. Proposed: improve the pricing page and link to it. The proposal remains a hypothesis until the team evaluates the change.

Avoid pretending the query list is complete

A query table is useful evidence about visible demand, but it should not become a transcript of every searcher or every need in the market. Combine it with customer questions, site search, and product knowledge when planning content.

End the review with a small set of page-specific actions. Each action should identify the reader problem, the destination responsible for answering it, and the evidence that made it a priority. That output is more useful than a large spreadsheet of queries disconnected from the pages a writer can actually improve.

Use a small sample of real landing pages to confirm that your spreadsheet categories reflect the published website rather than outdated assumptions.

PUT IT TO WORK

Use pages to assign work and queries to understand the questions behind it.

Sources & further reading

Official documentation informs this guide. Examples are illustrative, and product interfaces or limits can change.

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