Mapping Keywords to Pages
Paste a keyword list and this tool groups the keywords by which single page should target them together, suggesting a page title for each group and explaining why those keywords belong on one page.
This is the step between keyword research and writing. A research export is a list of phrases; a content plan is a list of pages. Getting from one to the other is where most keyword research quietly fails.
Grouping versus clustering
The Keyword Clustering Tool groups keywords by topic — what they are about. This tool groups them by page — what should target them together. The distinction sounds subtle and matters in practice.
Two keywords can share a topic and still need separate pages. “How to clean running shoes” and “best running shoes” are both about running shoes, but a searcher wanting cleaning instructions is not satisfied by a product roundup. Same topic, different pages.
So clustering answers “what subjects does this list cover”, and grouping answers “how many pages do I need to write and what should each one be”. Most people want the second answer.
What makes keywords belong on one page
The test is whether one page could satisfy someone searching either term. If a single well-written page would leave both searchers feeling their question was answered, they belong together.
Search intent is the dividing line more than topic. Keywords sharing an intent — all wanting a comparison, all wanting instructions, all ready to buy — generally belong on one page. Keywords with different intents need different page formats and therefore different pages.
A free check that settles most cases: search both keywords and compare the top ten results. If Google returns largely the same pages, they belong together. If the result sets barely overlap, Google is telling you they are different pages.
Why this prevents cannibalisation
Keyword cannibalisation happens when several of your pages target the same intent. Search engines pick one to rank and suppress the rest, your internal links and authority split across all of them, and none performs as well as a single consolidated page would.
The common cause is writing one page per keyword from a research list. Twenty variations of the same question become twenty thin pages competing with each other rather than one strong page that would have ranked.
Grouping before writing prevents this entirely, which is why it is worth doing even when the list is small. Fixing cannibalisation afterwards means merging pages and setting up redirects — considerably more work than planning properly.
Using the suggested titles
Each group comes with a suggested page title and a one-line rationale. Treat both as drafts. The AI works from the keywords alone, so it does not know your brand, your audience, or which pages you already have.
The rationale is often the more useful half. It tells you the AI's reasoning for grouping those keywords, which makes it easy to spot when the grouping is wrong for your situation — a distinction your industry treats as one page, or two topics you deliberately keep separate.
For the final title, the SEO Title Generator produces several angles with character counts, which is a better starting point than a single suggestion.
From groups to a content plan
- One page per group, with the highest-volume keyword in the group as the primary target.
- Remaining keywords in the group become headings and subtopics on that page, not separate pages.
- Check each group's intent with the Keyword Intent Classifier — mixed intent means the group should split.
- Note groups where you have no page yet; those are your content gaps in priority order.
- Plan internal links between related groups before writing, since that structure is easier to build in than to retrofit.
Preparing a large list
The tool handles up to roughly 120 keywords per run. For larger exports, split by topic or by volume band rather than feeding in everything — grouping the top few hundred keywords usually produces the plan you need.
Deduplicate first. The Keyword Deduplicator removes entries differing only by case or spacing, which otherwise inflate a group's apparent size and waste part of the run on redundant entries.
Frequently asked questions
How is this different from keyword clustering?
Clustering groups keywords by topic — what they are about. Grouping maps them to pages — what should target them together. Two keywords can share a topic and still need separate pages if searchers want different things.
How do I know if two keywords belong on the same page?
Ask whether one page could satisfy someone searching either term. The quickest external check is to search both and compare the top ten results — largely the same pages means one page, barely overlapping results means two.
What is keyword cannibalisation?
When several of your own pages target the same search intent, so they compete with each other. Search engines pick one and suppress the rest, while your internal links and authority split across all of them.
Should I use the suggested page titles as-is?
As drafts. The AI works from keywords alone, so it does not know your brand, audience or existing pages. The rationale accompanying each group is often more useful than the title, since it shows the reasoning you can check.
How many keywords can I group at once?
Around 120 per run. Split larger exports by topic or volume band, and deduplicate first so near-identical entries do not consume part of the run or inflate a group's apparent size.