Bring your data
Start with the keyword research you already have from SEO tools, exports or spreadsheets.
Part of the same working dataset
Reliable structure for SEO data
Turn messy keyword data into a working SEO dataset
Bring the keyword research you already have. ClusterIQ cleans, structures and clusters it using reproducible analytical methods, then gives you a dataset you can inspect, refine, retain and use throughout your SEO workflow.
14 days free · 1 evaluation project · No card required · Then £99/month to continue
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Sample data
24 clusters found
+12,400 clicks/mo forecast
Inspectable
clustering you can understand
Reproducible
clustering you can inspect
Editable
practitioner control
Reusable
data that stays useful
See the transformation
See the structure inside your keyword data
The fastest way to understand ClusterIQ is to watch unstructured keyword data become an organised, inspectable working dataset.
One connected workflow
From raw keyword exports to something you can actually work with
Prepare the data, build an inspectable structure, then carry it into the SEO work that follows. The evidence stays visible, editable and reusable throughout.
Clean the noise
Normalise messy inputs while preserving the useful source data you need later.
Part of the same working dataset
Keep the context
Retain the working evidence around each keyword instead of reducing the upload to a black box.
Part of the same working dataset
Measure similarity
Build reproducible groups from measured language and similarity relationships.
Part of the same working dataset
See the relationships
Use the underlying relationship graph to understand how keywords and topics connect.
Part of the same working dataset
Inspect and refine
Review the evidence, challenge the grouping and apply practitioner judgement where it matters.
Part of the same working dataset
Analyse further
Carry the structured dataset into topical analysis, reporting and prioritisation.
Part of the same working dataset
Connect the workflow
Move into forecasting, site intelligence and downstream SEO work without starting again.
Part of the same working dataset
Export and reuse
Keep the structured data useful beyond the clustering run with reusable exports and reports.
Part of the same working dataset
One dataset, more useful over time
Clustering is the beginning of the workflow, not the end
Move from clusters into analysis, actions, site intelligence and forecasts without losing the structured dataset underneath the work.
Why the approach is different
Serious methodology, without making you become a data scientist
ClusterIQ handles the analytical complexity underneath the workflow while keeping the resulting structure understandable to the SEO practitioner using it.
Why ClusterIQ works this way01
Structure before generation
Prepare the data before asking AI what it means.
ClusterIQ creates the analytical structure first. Generative tools can then help downstream without becoming the source of truth for the clusters themselves.
02
Evidence before recommendation
Keep the working data visible.
The underlying keywords, groups and assumptions stay available so you can understand the result instead of receiving an unexplained answer.
03
Practitioner control throughout
Use the system to support judgement, not replace it.
Inspect, refine, export and reuse the structure. ClusterIQ is designed to make SEO decisions easier to make, not to pretend the practitioner is unnecessary.
Connected capabilities
A working home for your keyword data
Keyword ClusteringReproducible working structureSite IntelligenceUnderstand topic coverageTopical AnalysisFind gaps and opportunitiesTraffic ForecastingBuild transparent scenariosRelationshipsInspect how topics connectIQ ActionsPrioritise the work that followsExports & ReportsKeep and reuse your workPrivate by DesignYour uploaded data stays yours
Bring data from anywhere
CSV, TSV, XLS, or XLSX files from Ahrefs, Semrush, Google Search Console, or any spreadsheet with a keyword column.
Keep the evidence visible
Work from inspectable clusters and source keywords rather than an unexplained generative answer.
Your data stays yours
Export the structured work you create and remove datasets when you no longer need them.
Practitioner-led by design
Built to make advanced analysis easier to use, not harder to understand
ClusterIQ handles the analytical complexity underneath the workflow while showing enough of the process for an SEO practitioner to understand, inspect and challenge the result.
Read why ClusterIQ existsInside the clustering process
Move through the methodology one stage at a time.
01 / 05
01 · Represent the language
Turn keywords into measurable signals
ClusterIQ represents the language in your dataset before it decides what belongs together.
Word + character TF-IDF
Weight the terms and character patterns that make each keyword distinctive.
Latent semantic analysis
Reduce noise while retaining the larger semantic patterns in the keyword set.
Inspectable representation
Create a reproducible numerical basis for the comparisons that follow.
02 · Measure similarity
Score how closely keywords relate
The system compares keyword representations rather than asking a generative model to guess the groups.
Cosine similarity
Measure how closely keyword vectors point in the same semantic direction.
Similarity scores
Turn those relationships into evidence that can be thresholded and inspected.
Tunable sensitivity
Adjust similarity thresholds to make the grouping broader or more selective.
03 · Build the graph
Keep the relationships that matter
Similarity becomes a sparse relationship graph that exposes the structure inside the dataset.
Keywords become nodes
Each keyword has a place in the graph rather than disappearing into a black-box answer.
Relationships become edges
Strong measured relationships connect the keywords that genuinely belong near one another.
Sparse by design
Weak links fall away so the stronger topical structure becomes easier to detect.
04 · Discover communities
Turn the graph into working groups
ClusterIQ uses the relationship structure to form reproducible communities of closely connected keywords.
Community structure
Groups emerge from patterns in the graph instead of arbitrary labels being imposed first.
Connected evidence
The keywords inside a cluster remain tied back to the relationships that created it.
Reusable output
The result becomes a structured dataset you can inspect, export and carry into later work.
05 · Apply SEO judgement
Check the structure before you trust it
Quality signals and practitioner review sit on top of the clustering rather than being hidden from you.
Intent checks
Search-intent rules help surface groups that deserve a closer look.
Quality signals
Use the evidence around the cluster to judge whether the structure is credible.
Practitioner control
Inspect, refine and challenge the result when real SEO context says it should change.
Reproducible analytical methodsPractitioner control stays visible
Questions practitioners ask
Frequently asked questions
How does the clustering actually work?
ClusterIQ combines word and character TF-IDF with latent semantic analysis, cosine similarity and a sparse relationship graph to build reproducible clusters. Search-intent rules and quality signals then help you inspect the result. You can tune cluster size and similarity thresholds before every run.
Why not just upload my spreadsheet to an LLM?
LLMs can be useful for interpretation, naming and downstream work, but ClusterIQ first creates a structured, inspectable dataset using reproducible analytical methods. That gives the practitioner a clearer evidence base before generative tools are brought into the workflow.
What files can I upload, and how big?
CSV, TSV, XLS, and XLSX files are supported up to 50 MB and 100,000 rows per upload. Exports from Ahrefs, Semrush, Google Search Console, or any spreadsheet with a keyword column work out of the box; columns are detected automatically.
Do I lose the data after clustering?
No. ClusterIQ is designed as a working workspace rather than an upload-and-disappear tool. You can return to project work, inspect and refine clusters, build reports and export the structured data for use elsewhere.
How does the free trial work?
Use ClusterIQ free for 14 days with one evaluation project. No credit card is required. At the end of the trial, Professional at £99/month is required to continue. If it is not for you, your data can be exported and deleted at any time.
From the ClusterIQ blog
Keep reading
Explore more of the thinking, methodology and practical SEO workflows behind ClusterIQ.
Clustering
24 September 2026 11 min readHow to combine search intent, semantic similarity and SERP overlap for keyword clustering
Clustering
31 August 2026 5 min readSearch intent classification in keyword clustering: useful signal, dangerous shortcut
Clustering
25 May 2026 4 min readMulti-label search intent for keyword clustering: when one query is doing more than one job
Prepare your SEO data for serious work
Bring the keyword research you already have and turn it into an inspectable, reusable working dataset before the next stage of your SEO workflow.
14 days freeNo credit card required£99/month to continue