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.
Keyword Clusterizer
8 grouping methods: shared words, rare-word weighting, semantics, structure, topic density and spelling variants
0 / 500
💡 Any format supported: with or without frequencies, any separator (tab, semicolon, space, etc.)
Clustering Algorithm
Premium Methods
AI Clustering
Unlock unlimited access for AI clustering
Groups by search intent and entities like Google
Search intent clustering
Less = more keywords per cluster
More = fewer final clusters
Remaining clusterizations:1 / 1
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.
Pricing
What the Free, Pro and Agency plans include
Keyword clustering is free and needs no signup. Paid plans lift the limits and unlock AI semantic methods, Content Analyzer, The Force, SERP clustering and bulk reports.
Free
To get started
$0/mo
Core clustering, no signup required
- Up to 500 keywords per run
- 5 clusterings per day
- 8 clustering algorithms
- Export to CSV, JSON, TSV
- 30+ languages supported
- Cluster visualization
Pro
For SEO specialists
$29/mo
The full toolkit for daily SEO work
- Up to 15,000 keywords per run
- 100 clusterings per day
- AI semantic methods (20/day)
- Content Analyzer: 100 analyses per day
- The Force: Top-10 analysis (30/day)
- SERP clustering: 2,000 keywords per month
- Ahrefs Volume/CPC/KD: 5,000 keywords per month
- Bulk XLSX and Markdown reports
- API access: 1,000 calls per month
- 90-day project history
- Priority support
Agency
For agencies and teams
$89/mo
High volumes and bulk reporting for client projects
- Up to 50,000 keywords per run
- 500 clusterings per day
- AI semantic methods (100/day)
- Content Analyzer: 500 analyses per day
- The Force: Top-10 analysis (150/day)
- SERP clustering: 15,000 keywords per month
- Ahrefs Volume/CPC/KD: 25,000 keywords per month
- Bulk content analyzer
- API access: 10,000 calls per month
- Unlimited project history
- Priority 24/7 support
Enterprise
For large companies
Custom
Custom limits, SLA and integrations
- Everything in Agency
- Unlimited quotas
- Dedicated capacity
- SLA guarantees
- Dedicated manager
- Custom integrations and API
- White-label option
- Team training
Detailed comparison of features and limits
30-day money-back guarantee · Cancel anytime
Daily run limits reset every 24 hours; monthly SERP and Ahrefs volumes reset each month. Change or cancel your plan at any time.
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.
SEO Clusterizer · Primary guidance and references
Our SEO methodology: inputs, validation and limitations
SEO Clusterizer turns keyword lists into a reviewable hypothesis for your website architecture. Similar phrases do not prove that Google expects one URL for every query. We describe our assumptions, checks and sources so you can independently evaluate the output rather than trust an opaque score.
SEO Clusterizer prepares these educational materials with assistance from automated tools. No independent certification or specialist endorsement is implied. Users are responsible for checking important SEO decisions.