Semantic grouping

Semantic Keyword Grouping

Group keywords by meaning — synonyms and paraphrases land together even when they share no words.

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Anahtar kelimeler
50,000Anahtar kelimeler
Kümeleme yöntemleri
8+3Kümeleme yöntemleri
Ücretsiz
ÜcretsizÜcretsiz

The free Google SEO method is preselected. For true meaning-based grouping, switch to the AI semantic methods on Pro.

Kümeleyici anahtar kelimeler

7 benzersiz algoritma: Jaccard, BM25, PMI-semantik, Ward-hiyerarşi, DBSCAN, Levenshtein

0 / 500

💡 Desteklenen her format: frekanslı veya frekanssız, herhangi bir ayırıcı (sekme, noktalı virgül, boşluk vb.)

Kümeleme Algoritması
Premium Yöntemler
AI Kümeleme
AI kümeleme için sınırsız erişim sağlayın

Google gibi arama amacı ve varlıklara göre gruplandırır

Arama amacı kümeleme

Daha az = kümede daha fazla anahtar kelime

Daha fazla = daha az nihai küme

Kalan kümelemeler:1 / 1

How it works

From a raw keyword list to a page plan in a few minutes.

  1. 01

    Paste your keywords

    Lists with synonyms, paraphrases and mixed wording work best.

  2. 02

    Choose a semantic mode

    Semantic and Google SEO modes are free; AI semantic methods add language-model understanding on Pro.

  3. 03

    Review meaning-based groups

    “Cheap flights” and “low cost airfare” end up in the same cluster.

  4. 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 semantic method

Groups by meaning with a language model — handles synonyms, paraphrases and multilingual lists. 20 runs/day on Pro.

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 Agency

Why 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.

Fiyatlandırma

Free, Pro ve Agency planları neleri içerir

Anahtar kelime kümeleme ücretsizdir ve kayıt gerektirmez. Ücretli planlar limitleri kaldırır ve AI semantik yöntemlerini, Content Analyzer'ı, The Force'u, SERP kümelemeyi ve toplu raporları etkinleştirir.

Ücretsiz

Başlamak için

$0/mo

Temel kümeleme, kayıt gerekmez

  • Çalışma başına 500 adede kadar anahtar kelime
  • Günde 5 kümeleme
  • 8 kümeleme algoritması
  • CSV, JSON, TSV olarak dışa aktar
  • 30+ dil desteği
  • Küme görselleştirme
Ücretsiz Başla
Önerilen

Pro

SEO uzmanları için

$29/mo

Günlük SEO çalışmaları için eksiksiz araç seti

  • Çalışma başına 15.000 adede kadar anahtar kelime
  • Günde 100 kümeleme
  • Yapay Zeka semantik yöntemleri (günde 20)
  • İçerik Analizcisi: Günde 100 analiz
  • The Force: İlk 10 analiz (günde 30)
  • SERP kümeleme: Ayda 2.000 anahtar kelime
  • Ahrefs Hacim/CPC/KD: Ayda 5.000 anahtar kelime
  • Toplu XLSX ve Markdown raporları
  • API erişimi: Ayda 1.000 çağrı
  • 90 günlük proje geçmişi
  • Öncelikli destek

Ajans

Ajanslar ve ekipler için

$89/mo

Müşteri projeleri için yüksek hacimler ve toplu raporlama

  • Çalışma başına 50.000 adede kadar anahtar kelime
  • Günde 500 kümeleme
  • Yapay Zeka semantik yöntemleri (günde 100)
  • İçerik Analizcisi: Günde 500 analiz
  • The Force: İlk 10 analiz (günde 150)
  • SERP kümeleme: Ayda 15.000 anahtar kelime
  • Ahrefs Hacim/CPC/KD: Ayda 25.000 anahtar kelime
  • Toplu içerik analizcisi
  • API erişimi: Ayda 10.000 çağrı
  • Sınırsız proje geçmişi
  • Öncelikli 7/24 destek

Kurumsal

Büyük şirketler için

Özel

Özel limitler, SLA ve entegrasyonlar

  • Agency planındaki her şey
  • Sınırsız kotalar
  • Adanmış kapasite
  • SLA garantileri
  • Adanmış yönetici
  • Özel entegrasyonlar ve API
  • White-label seçeneği
  • Ekip eğitimi
Bize ulaşın
Özellik ve limitlerin detaylı karşılaştırması

30-day money-back guarantee · Cancel anytime

Günlük kullanım limitleri her 24 saatte bir, aylık SERP ve Ahrefs hacimleri ise her ay sıfırlanır. Planınızı istediğiniz zaman değiştirebilir veya iptal edebilirsiniz.

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 grouping

Frequently 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.

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