What is keyword-to-topic mapping?

Grouping related keywords under thematic topics. Each topic becomes a content piece (or pillar). The map is the foundation of a topic cluster strategy.

Analyzes semantic similarity between keywords. Groups by topic intent, related entities, and shared modifiers.

What size topic groups?

5-15 keywords per topic typically. Larger groups split into subtopics; smaller groups merge.

How many topics per seed?

3-10 topics typically. Broad seeds get more topics; narrow seeds fewer.

Can I use this for content cluster planning?

Yes — the primary use case. Each topic becomes a pillar or subtopic post in your cluster.

How accurate are the topic groupings?

Strong for clear semantic clusters; weaker for ambiguous keywords. Curate before use.

Multi-language support?

Yes, the AI handles major languages.

Can I provide my own keyword list?

Yes, paste up to 100 keywords; AI groups them.

Should I write one piece per topic?

Yes, ideally. One pillar piece per major topic, supporting subtopic posts for child themes.

How does this compare to keyword clustering?

Clustering finds groups in your existing list; mapping suggests topics from a seed. Different starting points, similar destination.

Can I export the map?

Yes, copy each topic with its keywords.

What about long-tail keywords?

They naturally fit into topic groups. Use as supporting article angles within each topic.

Free SEO Tool

Free Keyword Topic Mapper

Map seed keywords to content topics with AI-suggested clusters. Pillar pages, subtopics, content plans. Free, no signup, instant.

4.6on G2

4.8on Trustpilot

Used by 25,000+ content teams

What this tool does

Topic clusters are the modern SEO playbook: pillar pages cover broad themes; subtopic posts cover specific angles; internal links connect them. The Topic Mapper turns a seed keyword into a ready-to-execute cluster plan.

Each topic in the map becomes a content piece. Save weeks of planning.

How to map keywords to topics

Five steps from seed to plan.

Type seed keyword

Or paste a keyword list.

Click Map

AI groups keywords into topics.

Review topic groups

See suggested topics with keyword clusters.

Curate the map

Merge overlapping topics; rename for clarity.

Build content

One pillar piece per topic, subtopics for clusters.

When SEOs use it

Six common workflows.

Content cluster planning

Map seed to topics; each topic becomes a pillar or subtopic post.

New site content roadmap

Plan first 30 posts by mapping pillar topics first.

Editorial calendar building

Map quarterly topics; assign deadlines per article.

Site audit and gap analysis

Compare your existing topics to AI-suggested ones; find missing coverage.

Onboarding new writers

Provide topic map as a brief; faster than describing strategy verbally.

Refreshing content strategy

Re-map quarterly to identify shifting topical priorities.

Platform-specific guides

How to deploy topic clusters across platforms.

WordPress

Map topics, then create category/tag taxonomy.
One pillar page per major topic; subtopics as child posts.
Internal-link from pillar to subtopics.

Webflow CMS

Define a Collection per topic.
Pillar pages live in CMS as featured items.
Use related-content blocks for cluster linking.

Headless / Next.js

Store topics in a config file.
Generate pillar + subtopic routes.
Programmatically link based on topic mapping.

Notion as content source

Create a database with topic + status columns.
Map keywords to topics; track content status per topic.
Re-map quarterly.

Editorial calendar tools

Trello / Asana / Notion Kanban — one column per topic.
Cards are individual articles.
Track velocity per topic.

Grigora vs. other mappers

Side-by-side comparison.

Capability	Grigora	Frase	SurferSEO	Free generators	Manual
Free + unlimited	Yes	Limited	Free trial	Yes	Manual
AI topic suggestions	Yes	Partial	Yes	No	Manual
Group keywords by topic	Yes	Yes	Yes	No	Manual
Bulk keyword input	100	50	500+	20	Manual
Multi-language	Yes	English only	Yes	English only	Yes
No signup	Yes	Account required	Account required	Yes	Yes
Export	Copy	Yes	Yes	No	Manual
Result speed	<10 sec	<30 sec	<10 sec	<5 sec	Manual

Common errors and how to fix them

Eight issues users hit when mapping topics.

Topics overlap

Cause: Keywords were similar; semantic boundaries fuzzy.

Fix: Manually merge overlapping topics; rename for clarity.

Single keyword in a topic

Cause: Outlier keyword.

Fix: Move to nearest related topic, or drop if irrelevant.

AI returns same topic name twice

Cause: AI hallucination.

Fix: Rename one of them or merge.

Topics are too generic

Cause: Seed was too broad.

Fix: Use narrower seed; or accept that broad seeds give broad topics.

Output language mismatch

Cause: AI defaulted to English.

Fix: Type seed in target language.

Tool times out

Cause: Over 100 keywords or AI service throttled.

Fix: Split or retry.

Missing important topic

Cause: AI did not suggest it.

Fix: Add manually based on your domain knowledge.

Same map every run

Cause: AI clusters around similar patterns.

Fix: Vary input or use a different seed for fresh angle.

Original data from our 2026 mapping usage

Across 4,500 mapping sessions.

6.4

Average topics per seed

Average keywords per topic group

68%

% of users who use map for cluster planning

24 min

Median time saved vs. manual mapping

Frequently asked questions

Twelve answers about topic mapping.

Related free tools

Other utilities that pair with the Topic Mapper.

Map your topics right now

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