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Keyword Universe

A living map of your demand.

Not a one-time export. The Keyword Universe is a persistent map of the keywords that matter to your site — grouped by intent, and mapped to the page that should own each one. It updates as your site, your rankings and your market change.

How it is built

Keywords flow through a pipeline before they land in your universe

Discovery to mapping — each step decides something, so what you end up with is structure, not a spreadsheet.

Build pipeline
1
Discovery
Candidates come from crawling your site, your Search Console queries, product research, and anything you or your assistant import.
2
Review
A classifier decides which candidates are actually relevant to your brand, using your Brand DNA. Off-brand or off-language terms are set aside.
3
Enrichment
Retained keywords get search volume and live search-results data.
4
Clustering
Keywords that serve the same intent are grouped, so you work with topics instead of thousands of loose terms.
5
Mapping
Each cluster is matched to the page best suited to own it, using rankings, title and URL match, page type and content similarity.
The five stages a keyword passes through, mirroring the pipeline that maintains the intent_clusters model in the product. Clusters are grouped by embedding similarity and intent, then each is mapped to a specific page.
What you work with

Topics and the pages that own them — with the gaps called out

You act on a cluster once instead of chasing near-duplicate terms. And for every cluster, Maark tells you whether you already have the right page or whether there is a gap where demand exists but no page targets it.

Clusters view
Head term
Keywords
Volume
Best rank
Opp. score
Intent
Mapped page
best running shoes for flat feet
34
18,100
#14
82
Commercial
/guides/flat-feet
how to clean suede sneakers
21
9,900
#7
61
Informational
/blog/clean-suede
trail running shoe reviews
48
27,400
88
Commercial
— gap —
A representative slice of the clusters grid. Real columns include head term, keyword count, total volume, best rank, an opportunity score, dominant intent and the mapped page. A row with no owning page is a coverage gap — often the best opportunity on the site.
Opportunities

Dozens of checks run over the universe on a schedule

A map is only useful if it tells you what to do next. Maark runs these checks across your universe and rankings, and turns what it finds into proposals.

Striking distance
Keywords ranking just off page one (roughly positions 11–30) with real impressions. Small pushes here move the needle fastest.
Content decay
Pages that are steadily losing traffic and are due for a refresh.
Cannibalization
Two or more of your pages competing for the same query, splitting their own signal.
CTR gaps
Pages that rank well but get fewer clicks than their position should earn — usually a title or snippet problem.
Coverage gaps
Clusters with demand that no page currently owns — a page worth creating.
Broken internal links
Pages that return an error but still receive internal links from live pages. Maark surfaces these as a fix task you review — it does not change your site on its own.

Every opportunity becomes a proposal you review. It does not act on itself. You decide what becomes real work — mapping a cluster to a page, requesting a new page for a gap, sending a refresh into the content pipeline, or tasking a fix. Automated mapping runs in a limited pilot, and even there it surfaces a proposal before it changes anything.

Related

Approved opportunities flow into Content Autopilot, and you can pull opportunities and draft the tasks from your own assistant through AI Connections.

See your own universe

Connect Search Console and watch Maark map your keywords to your pages — and show you where the gaps are.

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