Keyword Clustering

Keyword clustering: see every prompt grouped under its topic

Keyword clustering for the AI-search era. Search a keyword and WriteWorks lays out its keyword hierarchy: the topics it spans and the tracked AI prompts under each one, with how often each is answered and how that moved. One page can then answer a whole group instead of chasing near-duplicates one keyword at a time.

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A keyword hierarchy tree with "geo agency for saas" at the root branching into narrower keywords, each node showing prompt volume and change (sample data).A keyword hierarchy tree with "geo agency for saas" at the root branching into narrower keywords, each node showing prompt volume and change (sample data).

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WRITEWORKS
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The challenge

Why AI visibility is hard to win

Monitoring tools show you the gap across the 10+ AI platforms but stop at the dashboard. Nothing engineers the content tuned to win the citation, and proves the lift.

A flat keyword list hides the structure

Export a keyword set or a prompt list and you get rows. Without grouping, there's no way to see how many distinct topics, and so how many distinct pages, hide inside it.

Near-duplicates become thin pages

Treat every keyword as its own target and you write two thin pages for one question. The fix is seeing which queries sit under the same topic before anyone starts writing.

AI prompts don't behave like keywords

Buyer prompts are long and conversational, and they are phrased a hundred ways. A grouping built only for short head terms can't show you which prompts belong to the same topic.

Clusters die in a spreadsheet

Even a clean set of groups is useless if it never becomes work. Most keyword clustering software stops at an export and leaves the mapping to content by hand.

The solution

How WriteWorks closes the gap

Measure across 10+ AI platforms, diagnose the citation gap, engineer the fix, and prove the lift, in one closed loop built for precision.

Search any keyword and the Hierarchy view shows it as a tree: the keyword at the root, the topics beneath it, and the tracked prompts under each topic, so the shape of the opportunity is obvious at a glance.

◆How WriteWorks closes the gapLIVE
WriteWorks Keyword analysis: keyword hierarchy. Close-up: The keyword tree canvas (sample data).WriteWorks Keyword analysis: keyword hierarchy. Close-up: The keyword tree canvas (sample data).
Success story

What real brands fixed with WriteWorks

What each brand fixed, measured before and after with the same audit, in their own words.

Pages under 0.8 s 72% → 98%

“Pages that answer AI crawlers in under 0.8 seconds went from 72% to 98%. Add a homepage that now says who Fhresh is in plain markup, in every market, and AI has far more to work with.”

FH
Fhresh teamRead the Fhresh success story
Capabilities

Key capabilities

The instruments that measure AI visibility deeper and engineer the content that wins it.

Keyword hierarchy view

A keyword, its topics and their tracked prompts, laid out as an expandable tree.

Topic grouping

Tracked prompts grouped under the topics they belong to.

Volume-sized groups

Each topic carries its answer volume and change, so you can see which groups are worth a page.

Exact or broad match

Match the keyword exactly, or pull in every tracked prompt that contains it.

Prompt generation

Turn a researched keyword into AI prompts to track.

Feeds Topic Authority

The same topics are the raw material the Topic Authority view turns into a coverage map.

Time savings

Engineered for every step, from gap to proof

Measure, diagnose, engineer, prove, collapsed into one closed loop built for AI search.

TaskBeforeWith WriteWorksTime saved
Turn a flat keyword list into topicsManual sort in a spreadsheet, hoursA keyword hierarchy in one searchHours
See which prompts share a topicRead every row by handPrompts grouped under each topicPer set
Decide which group deserves a pageGuess from keyword volume aloneTopics sized by AI answer volumeResearch time
Turn a keyword into tracked promptsWrite prompts by handGenerate them from the researchPer keyword
Included

What's included

Everything you need to measure AI visibility and engineer the content that wins it.

Keyword hierarchy: keyword, topics, tracked prompts
Tracked prompts grouped by topic
Prompt volume and change on every node
Exact and broad keyword matching
Generate AI prompts from a researched keyword
Feeds the Topic Authority coverage map
Built for

Who it's for

Purpose-built for every role on the team.

SEO and content leads

Replace hours of manual keyword grouping with a topic hierarchy that maps cleanly to pages.

AEO / GEO teams

See the AI prompts buyers ask grouped by topic, so one page answers a whole group across the engines.

Agencies

Show each client the topics hiding in their keyword list and turn every group into production work.

Featured story

“Thin was the right word for our directory. We rewrote every niche page with real detail, added markup across the site and dated our success stories. The re-audit found 100% of directory pages with 200 words or more, up from 0%, and schema on 99% of pages, up from 39%. Next up is FAQ markup for the new FAQ sections.”

Kleepa team

Read the full story
0% → 100%
Directory pages with 200+ words
39% → 99%
Pages carrying schema
70% → 100%
Articles and FAQs with a modified date
FAQ

Frequently asked questions

Everything teams typically ask before getting started.

What is a keyword clustering tool?+
A keyword clustering tool takes a large list of keywords and groups them into related sets so you can target each group with a single page instead of one keyword at a time. In WriteWorks the grouping is a keyword hierarchy: search a keyword and you see the topics it spans and the tracked AI prompts under each topic, sized by how often the AI platforms you track answer them.
How does WriteWorks group keywords and prompts?+
By topic. Every tracked prompt belongs to a topic, and the Hierarchy view collects the prompts that match your keyword, exactly or broadly, under the topics they belong to. That keeps differently worded prompts about the same subject together, which matters even more for long, conversational AI prompts.
What do the numbers on each node mean?+
Prompt volume: how many answers WriteWorks captured for the prompts under that node in the period, across the AI platforms your plan tracks, with the change against the previous period. It shows which groups AI engines are answering most.
Can it group AI prompts, not just search keywords?+
Yes. The hierarchy is built from the AI prompts you track, so the long, conversational questions buyers ask sit under their topic alongside the keyword you searched. Research a keyword first and you can generate prompts from it to track.
What's the difference between keyword clustering and Topic Authority?+
Keyword clustering is the mechanic: grouping queries and prompts under their topics. Topic Authority is what those topics build toward: a coverage map that shows how completely you own each topic across the AI engines. Clustering produces the groups; Topic Authority turns them into a strategy. See the Topic Authority page for that narrative.
Explore more

Keep exploring

Related solutions, adjacent use cases, and platform features.

Research

Measure

Group your keywords into pages worth writing

See every keyword's topics and the AI prompts under each one, sized by how often AI answers them, then plan one page per group.

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