Keyword ideas from your seed topics
Expands the topics you already rank for into related search terms with their monthly volumes, appended to a Google Sheet.
Apps it connects
Authenticate each one once and the workflow is ready to run.
What it does
Each integration step this workflow runs, in order, what it is for, and the conditions and loops that decide when it runs.
- 1
Google SheetsCreate tabCreates the 'Keyword ideas' tab on the first run, or adds this month's ideas to the existing one. If
tabIsNew- 2
Google SheetsAppend rowAppends the header row on a new tab, then one row per idea with the date, seed topic, keyword and monthly searches.
- 2
For each
topicIf
ideaCountis more than 0For each
ideaIf
entryOkandtermis not empty- 3
Google SheetsAppend row
- 3
- 4
AnthropicGenerate model responseAsks the AI which five of the saved terms are worth writing about next, with one reason each, shown on the run.
How it works
What happens on each run, in plain English.
At 08:00 on the first of each month, the topics you already rank for are sent to your own keyword data endpoint, and every related term it returns is appended to a Google Sheet with its monthly search volume. It finds the terms you have not written about yet rather than measuring the pages you have.
You end up with a 'Keyword ideas' tab with one row per idea: date collected, seed topic, keyword and monthly searches. Nothing is overwritten, so the sheet also shows how each term's volume moves month to month. An idea missing a keyword or a numeric volume is skipped rather than written as a blank row, a topic the endpoint cannot answer for is reported and passed over, and a cap per topic stops an endpoint flooding the sheet. Once the ideas are saved, AI picks the five worth writing about next and shows the shortlist on the run.
You need your seed topics, a keyword endpoint that returns related terms with search volumes and its key, and a Google Sheet for the history.
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