Pro
AI semantic method
Groups by meaning with a language model — handles synonyms, paraphrases and multilingual lists. 20 runs/day on Pro.
Semantic grouping
Semantic Keyword Grouping
The free Google SEO method is preselected. For true meaning-based grouping, switch to the AI semantic methods on Pro.
Søgeord Clusterizer
7 unikke algoritmer: Jaccard, BM25, PMI-semantic, Ward-hierarchy, DBSCAN, Levenshtein
0 / 500
💡 Ethvert format understøttes: med eller uden frekvenser, enhver separator (tabulator, semikolon, mellemrum osv.)
Klyngedannelsesalgoritme
Premium-metoder
AI-klyngedannelse
Lås op for ubegrænset adgang til AI-clustering
Grupperer efter søgeintention og entiteter som Google
Søgeintention-clustering
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How it works
From a raw keyword list to a page plan in a few minutes.
- 01
Paste your keywords
Lists with synonyms, paraphrases and mixed wording work best.
- 02
Choose a semantic mode
Semantic and Google SEO modes are free; AI semantic methods add language-model understanding on Pro.
- 03
Review meaning-based groups
“Cheap flights” and “low cost airfare” end up in the same cluster.
- 04
Export topic groups
Use each group as a page or a section in your content plan.
AI semantic clustering
Language-model understanding on top of classic similarity.
Pro
AI Google SEO mode
Semantic grouping tuned to how search engines treat intent and page coverage.
Free plan
Free semantic algorithm
Vector-similarity grouping in your browser on the Free plan.
Agency
Higher AI volumes
100 AI runs per day on Agency for large client portfolios.
Choose AgencyWhy teams use it
What changes in your workflow once grouping is automated.
Meaning beats word overlap
Queries with different wording but the same need end up on one page.
No duplicate pages for synonyms
Avoid writing two articles that answer the same question.
Works across languages
Semantic grouping copes with mixed-language and transliterated lists.
Natural topic hubs
Related groups form clear hubs and supporting pages.
Who it is for
Built for people who turn keyword research into pages.
SEO specialists
Build topical maps that mirror how people search.
Publishers
Plan topic clusters and pillar pages.
International teams
Group keywords in many languages consistently.
Priser
Hvad Free-, Pro- og Agency-abonnementerne inkluderer
Keyword-clustering er gratis og kræver ingen tilmelding. Betalte abonnementer fjerner begrænsningerne og giver adgang til AI-semantiske metoder, Content Analyzer, The Force, SERP-clustering og samlede rapporter.
Gratis
For at komme i gang
$0/mo
Kerne-clustering, ingen tilmelding påkrævet
- Op til 500 søgeord pr. kørsel
- 5 clusterings pr. dag
- 8 clustering-algoritmer
- Eksporter til CSV, JSON, TSV
- 30+ sprog understøttet
- Cluster-visualisering
Pro
Til SEO-specialister
$29/mo
Det komplette værktøjssæt til dagligt SEO-arbejde
- Op til 15.000 søgeord pr. kørsel
- 100 clusterings pr. dag
- AI semantiske metoder (20/dag)
- Content Analyzer: 100 analyser pr. dag
- The Force: Top-10 analyse (30/dag)
- SERP clustering: 2.000 søgeord pr. måned
- Ahrefs Volume/CPC/KD: 5.000 søgeord pr. måned
- Bulk XLSX- og Markdown-rapporter
- API-adgang: 1.000 kald pr. måned
- 90 dages projekthistorik
- Prioriteret support
Agency
Til bureauer og teams
$89/mo
Høje volumener og bulkrapportering til klientprojekter
- Op til 50.000 søgeord pr. kørsel
- 500 clusterings pr. dag
- AI semantiske metoder (100/dag)
- Content Analyzer: 500 analyser pr. dag
- The Force: Top-10 analyse (150/dag)
- SERP clustering: 15.000 søgeord pr. måned
- Ahrefs Volume/CPC/KD: 25.000 søgeord pr. måned
- Bulk indholdsanalyse
- API-adgang: 10.000 kald pr. måned
- Ubegrænset projekthistorik
- Prioriteret 24/7 support
Enterprise
For store virksomheder
Tilpasset
Tilpassede grænser, SLA og integrationer
- Alt i Agency
- Ubegrænsede kvoter
- Dedikeret kapacitet
- SLA-garantier
- Dedikeret manager
- Tilpassede integrationer og API
- White-label mulighed
- Teamtræning
Detaljeret sammenligning af funktioner og begrænsninger
30-day money-back guarantee · Cancel anytime
Daglige forbrugsgrænser nulstilles hver 24. time; månedlige SERP- og Ahrefs-volumener nulstilles hver måned. Skift eller annuller dit abonnement når som helst.
Guide: Semantic keyword grouping: cluster by meaning, not spelling
Semantic grouping puts "how to remove coffee stains" and "getting coffee out of carpet" in the same cluster, because they express the same need. Word-matching methods leave them apart. For informational content — where searchers phrase the same question a dozen ways — that difference decides whether a page covers a topic or a fragment of one.
Key takeaways
- Meaning-based grouping captures synonyms, paraphrases and long-tail variants.
- It is the strongest option for blog, guide and FAQ content.
- Lexical methods stay better for SKU-style catalogue keywords.
- AI-assisted modes are available on paid plans, with a per-run keyword limit.
What semantic grouping catches that word matching misses
A word-matching method needs shared tokens. Real search behaviour does not cooperate: people use synonyms, regional wording, abbreviations, brand names in place of categories, and questions phrased as statements. Every one of those variants is demand for the same page.
Semantic grouping compares the underlying meaning of queries, so those variants converge. In practice, semantic runs on informational sets produce noticeably fewer orphan keywords — single-keyword clusters that should have joined a group.
Where semantic grouping is the wrong tool
Meaning-based grouping can over-merge product keywords. "iPhone 15 128GB" and "iPhone 15 256GB" mean nearly the same thing semantically and belong on different pages commercially. Catalogue and SKU keyword sets are better served by lexical or specialised e-commerce modes that respect attribute differences.
- Blog, guide, glossary and FAQ content — semantic wins
- Category and product listings — lexical or catalogue modes win
- Mixed lists — cluster in two passes, splitting by intent first
- Regulated verticals — use the specialised modes built for them
How the AI-assisted modes work
On paid plans, semantic runs are supported by a language model that evaluates whether queries express the same underlying task, then labels each resulting cluster with a human-readable topic name. The output is easier to hand to a writer than a numbered group.
Because model-assisted runs cost compute, they are limited to 500 keywords per run. The recommended pattern is to cluster the full list with a standard method first, then re-run the ambiguous or high-value sections with AI assistance.
Reviewing a semantic run
Two habits keep quality high. First, read the largest cluster in every run — over-merging always shows up there first. Second, sort clusters by total search volume and check the top ten manually, because those decide most of your traffic.
Anything commercially critical should then be confirmed against live search results before you commit it to the content plan.
Group your keywords by meaning
Run a semantic pass over your most valuable keyword sections and get writer-ready topic labels.
Try semantic groupingFrequently asked questions
Is semantic grouping better than lexical clustering?
For informational content, usually yes. For product and category keywords where small attribute differences matter, lexical or catalogue-specific methods are safer.
Does it work across languages?
Yes, including non-Latin scripts and right-to-left languages. Keep one language per run for the cleanest results.
Why is there a 500-keyword limit on AI modes?
Model-assisted runs consume compute per keyword. The limit keeps runs fast and pricing predictable; standard methods handle the full per-run limit of your plan (up to 50,000 keywords on Agency).
Can I rename the clusters it produces?
Yes. Cluster labels are editable before export, and merges or splits you make by hand are preserved.
What are the limits on the Free plan?
The Free plan clusters up to 500 keywords per run, 5 runs per day with a free verified account. Without signing up you can try one preview run of up to 100 keywords. AI semantic methods, SERP clustering and bulk Content Analyzer reports are part of the paid plans.
How many keywords can Pro and Agency process?
Pro processes up to 15,000 keywords per run and Agency up to 50,000. Both include AI semantic methods, Content Analyzer, The Force, SERP clustering and bulk Content Analyzer reports with plan-specific monthly volumes.
Can I cancel or get a refund?
Yes. Paid plans can be cancelled at any time, and every subscription comes with a 30-day money-back guarantee as described in our Refund Policy.
Ready to group your keywords?
Paste a list above and get clusters in seconds on the Free plan. Upgrade only when you need bigger runs or AI methods.