Features
SERP clustering: one page per search intent, decided by Google's own results
Two keywords belong on the same page when Google already answers them with the same pages. Clustering compares the top results for each keyword and groups the ones that overlap, so each page targets one intent.
The problem it solves
Writing one page per keyword creates pages that compete with each other. Merging by guesswork does the opposite and buries a real intent inside a page that does not answer it. Search results settle the question with data.
How it works
- 1
Fetch the top results
For each keyword, the top ten results come from your search data provider and are saved with the project.
- 2
Compare the overlap
Keywords whose results share enough URLs are grouped. The threshold is yours: 20% to 80%, default 30%.
- 3
Move the slider at no cost
Changing the threshold reclusters the saved results instantly. No new requests, no new cost.
- 4
Feed the map
The same threshold decides which candidate pages merge when the map is built, so research and structure agree.
Example: water tank cleaning in Jeddah
Three keywords look different but return almost the same results.
- «تنظيف خزانات جدة», «غسيل خزانات بجدة» and «شركة تنظيف خزانات المياه جدة» share most of their top ten, so they become one page.
- «عزل خزانات جدة» returns different pages, so it keeps its own page instead of being squeezed into the cleaning page.
- Raising the slider to 50% splits a borderline pair, and you can see which keywords moved before you decide.
What you get
- Keyword groups based on shared search results
- A threshold you can change without paying again
- Fewer pages competing for the same query
- Clusters the map builder uses directly
Questions
What threshold should I use?
Start at the default 30%. Raise it if unrelated keywords end up together; lower it if close variants stay apart.
Does it work for Arabic results?
Yes. It compares URLs, not words, so it works the same in any language.
What if two planned pages still compete?
The cannibalization check flags pages that share the same target query, topic and city, or the same title, and suggests whether to merge or differentiate them.
Plan your first map today
Free during early access. Bring your own AI and search data keys and pay those providers directly.