Group what people search for by what they want, and match each group to a page
A search-content map linking each group of queries with similar intent to a suitable page or content gap.
Choose one of three approaches. The steps for that option appear below.
Choose an option above. On a phone, swipe the tabs left or right to see all options →
Claude: clusters queries and maps destinations
Claude proposes intent groups and destinations together. You check every group and decide.
You
Prepare export, inventory
Claude
Cluster and map
You
Check and approve or hold
Prepare the query export and inventory
Use:You
Prepare the dated query export with a query ID per row, the offer description and the landing-page inventory as files.
Check
Only supplied data is used; no volume figures are invented.
Cluster queries and map destinations
Use:Claude
Upload the files and ask for intent clusters with query IDs and ambiguity notes, then a destination or content gap per cluster.
Details
What to paste into the tool
From the attached files only, group the queries by what the searcher is trying to do. For each group give the query IDs, an intent hypothesis, ambiguity notes, the best-fitting page in the inventory or an explicit content gap. Do not give or estimate search volume.
Check the groups and approve or hold
Use:You
Go over all groups, split or merge them, and confirm destination fit by reading the pages. Record open questions; approve or hold.
Check
Each group has an evidenced intent and a destination fit. No invented volume figures anywhere. Approval and any content or site change are separate decisions.
Gemini Notebook: cited groups, you mark gaps
Queries and pages become notebook sources with citations. You verify citations, mark gaps and decide.
You
Add notebook sources
Gemini Notebook
Cited intent groups
You
Verify, mark gaps
You
Assemble, decide
Add sources to a notebook
Use:You
Add the dated query export, offer description and each landing page text as notebook sources.
Check
Export date and query IDs are in the source titles.
Ask for cited intent groups
Use:Gemini Notebook
Ask for intent groups with supporting queries and the matching page for each, citing sources.
Details
What to paste into the tool
From the sources only, group the queries by intent. For each group cite the queries, state an intent hypothesis, and name the page source that fits or say no page fits. Do not provide search volume.
Verify citations and mark gaps
Use:You
Open the citations on every group, add ambiguity notes, and mark content gaps where no page fits.
Check
Every group has a checked intent.
Assemble the map and decide
Use:You
Assemble the search-content map, list open questions and decide approval; site changes are separate.
Check
Intent and destination fit per group, no invented volume.
ChatGPT: clusters and maps, you decide flags
ChatGPT clusters the export and maps each group to a page or gap. You decide the ambiguous flags and approve.
You
Prepare, check export
ChatGPT
Cluster, flag ambiguity
You
Decide each flag
ChatGPT
Map to pages
You
Finalise, decide
Prepare and check the export
Use:You
Prepare and check the dated query export, the campaign offer and the landing-page inventory before any tool step.
Check
Check export dates and query IDs against the source; confirm the inventory matches the current page list.
Cluster queries and flag ambiguity
Use:ChatGPT
Upload the checked export and ask ChatGPT to cluster queries by intent, draft an intent per cluster, and flag ambiguous queries, keeping query IDs.
Details
What to paste into the tool
From the attached dated query export and landing-page inventory, cluster the queries by intent, keeping the query IDs in every cluster, and draft a one-line intent hypothesis per cluster. List any query that could fit another cluster or is ambiguous, with a one-line reason each. Do not give search volume.
Check clusters and decide flags
Use:You
Check every cluster's query IDs against the export and decide each ambiguity flag yourself.
Check
No flag is applied automatically.
Map clusters to pages
Use:ChatGPT
Ask ChatGPT to map each checked cluster to the best page in the inventory or mark a content gap, with a destination-fit note.
Details
What to paste into the tool
Using only the attached checked clusters and landing-page inventory, map each cluster to the best page or mark it as a content gap. Record the destination fit with a one-line note for each cluster. Keep the query IDs with each cluster. Do not give search volume.
Finalise the map and decide
Use:You
Check each mapping against the inventory pages, finalise the map with open questions, and decide approval; site changes are separate.
Check
Evidenced intent and destination fit per group; no invented volume.
Compare the three approaches
Option A: Claude: clusters queries and maps destinations
Best when: You want a full draft to correct
What it does: Claude clusters and maps in one pass; you check
Strong at: Drafts and edits text in many formats
Limit: Groups can mix intents; split or merge as needed
Free plan: Yes
Option B: Gemini Notebook: cited groups, you mark gaps
Best when: You want each destination claim tied to a source passage
What it does: Gemini Notebook cites; you verify each citation
Strong at: Answers questions grounded in your sources; exports to Docs and Sheets
Limit: Citations can mislead; open every one
Free plan: Yes
Option C: ChatGPT: clusters and maps, you decide flags
Best when: You want ambiguity flags decided by a person
What it does: ChatGPT clusters and maps; you decide each flag
Strong at: Answers questions; writes, rewrites and summarises text
Limit: Ambiguous queries need your call; no flag auto-applies
Free plan: Yes, limited (free plan caps uploads and analysis)
Before you paste into any AI tool, remove any confidential information. Put it back at the end.