Review landing pages with AI and log the fixes
Reads the landing pages you name and logs specific conversion fixes to a Google Sheet, one row per tip.
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 a 'Landing page reviews' tab in your sheet on the first run, and adds to it on later runs. If
tabIsNewis true- 2
Google SheetsAppend rowAppends the heading row when the tab is new, then one row per finding with the date, page, area, problem and fix.
- 2
For each
pageEntry- 3
OpenAIQuery modelAsks the AI to review each page as a conversion specialist, returning specific findings on call to action, messaging, layout and trust. For each
findingLineIf the number of items in
partsis at least 3- 4
Google SheetsAppend row
- 4
If
rowsForThisPageis 0- 5
Google SheetsAppend row
- 5
- 3
How it works
What happens on each run, in plain English.
Give it a list of landing pages and a line on what they sell and who they are for, then run it whenever you want a review. Each page is fetched and read by the AI the way a conversion specialist would read it, looking for a buried or vague call to action, messaging that never says what the product is, layout that puts competing links in front of the offer, missing proof, and forms that ask for too much.
You end up with a tab named 'Landing page reviews' in your Google Sheet, with one row per finding: the date, the page, the area, what is wrong in the page's own words and the change to make. Rows are only ever added, so the tab becomes a record of what you were told and when. A page that will not load is reported and skipped rather than reviewed as if it were fine, and one failed page does not stop the rest.
You need a Google Sheet to write to; the tab and its headings are created on the first run.
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