KeywordStat Review: Keyword Research, Clustering & SEO Data Compared

KeywordStat is a modern keyword research tool that uses a large volume of data and artificial intelligence to clean queries of junk and cluster them.

AI-Powered Keyword Finder – KeywordStat helps you do keyword research quickly and efficiently while keeping it simple.

Keyword research: this is one of the first tasks performed in almost every SEO project and a key stage of SEO promotion for every website.

The quality of the collected keywords determines the website structure, content topics, SEO priorities, and which key queries you can attract traffic from.

What Tools Can Be Used For Keyword Research?

You all know that there are quite a lot of large SEO platforms. They offer many additional tools, which is convenient if you need a full-fledged ecosystem. 

But if your task is simply to find keywords for a website, then a large set of functions can sometimes only complicate your work.

KeywordStat assumes a different approach. It focuses specifically on keyword research: nothing extra. 

As a result, it guides users through a clear process: from the initial seed keyword to a list of ready-made queries, clusters, and exports.

In this review, we examine how KeywordStat works, what data it shows, where it gets its data, how it finds new keywords, how it clusters them, and how it compares with other popular SEO tools.

What Is KeywordStat?

KeywordStat Keyword Finder is a modern, specialized keyword research tool. 

Users can enter a main keyword or seed keyword for research, or a domain or specific URL for analysis.

After the analysis, the Keyword Finder shows: 

• Main SEO metrics 
• Displays a dashboard with those metrics. 

Then it lets you expand keywords and find additional keywords. You can further group, download, or copy them. The workflow is quite simple.

First, you enter a seed keyword or URL. When analyzing a keyword, for each keyword you get a dashboard with metrics:

• Search Volume;
• Keyword Difficulty;
• Traffic Potential;
• Global Volume;
• Search Intent;
• CPC;
• Commercial Value;
• Trend.

The service’s task isn’t limited to finding similar phrases. 

You can immediately evaluate the keywords you find for demand, competition, intent, and commercial potential.

You can also expand keywords, find additional keywords, update metrics for selected keywords, cluster them, or save the project.

KeywordStat Interface

One of the main advantages people notice when using the KeywordStat Tool is its simple, clear, modern interface. 

It uses a minimal style while staying bright and easy to read. 

The tool uses many colors for different indicators, but they don’t strain the eyes or clash.

On the main page, you enter a keyword or domain URL, select the country you want, and start the analysis. 

This is convenient because you don’t need to figure out how the platform works. 

You enter an initial query, then get the data you need for your research.

Let’s run an analysis and enter a query such as “SEO.”

KeywordStat shows not only its search volume, but also a set of additional characteristics:

• Search Volume: 498K;
• Keyword Difficulty: 95/100;
• Traffic Potential: 429K;
• Global Volume: 1.3M;
• CPC: $0.40;
• Search Intent: Informational / Commercial;
• Commercial Value: 4/10;
• Trend: Falling.

At this stage, you understand the query, its popularity, its competitiveness, its commercial potential, and the user’s intent.

AI Insights

You also need to highlight the individual AI components of KeywordStat. This is a small hint when analyzing keywords. 

AI Insights gives you ideas, helps you understand what these parameters mean, how difficult a query is, and what types of pages are best to create.

AI Insights adds an additional layer of interpretation to the data. 

This helps you understand the found queries and their usage possibilities faster.

Implementing an AI assistant helps you work faster with large amounts of data and spot patterns that may not be visible at first glance.

Expanding Your Keyword Strategy

Next, you move to the Keyword Ideas section and start your keyword research.

Here you have several options for expanding keywords: term match, related, questions, modifiers, comparisons.

Let’s look at what these tabs mean.

• All: These are all the found variations;
• Term Match: Here you see queries with matching terms;
• Related: Here you can see semantically related keywords;
• Questions: Search queries in the form of questions are displayed;
• Modifiers: These are variations with additional words and уточнения;
• Comparisons: Queries related to comparing different solutions.

For example, for the query SEO, you can see the following results.

This list is already much more useful than the original query, and it gives you additional directions for further analysis. 

You can click each keyword to see its keywords and similar keywords.

Sorting and filtering keywords. Not all keywords are equally useful, and a large list of keywords does not yet mean that you have done your job well. 

So you can sort by volume, KD, or intent and highlight the keywords you need to analyze.

You can simply avoid keywords that don’t suit you. For example, for a new website, you can search for keywords with a low KD and high search volume. 

For a large commercial project, you may be interested in keywords that have commercial intent or transactional intent.

Keyword Difficulty In KeywordStat

As you know, Keyword Difficulty is a metric that is calculated differently by all services, and there is no such thing as a correct or incorrect version of this metric. 

But SEO specialists mainly use it to evaluate a query.

How does it work in KeywordStat?

Here, it works on a scale from 0 to 100 and has three levels:

• Green zone from 0 to 39 — this is considered an easy Keyword Difficulty;
• Medium orange zone from 40 to 64;
• Red zone — these are difficult keywords from 65 to 100.

This lets you quickly sort queries by potential difficulty.

For example, for SEO keywords:

• Seo agency — KD 18;
• Seo company — KD 37;
• Seo services — KD 42;
• Seo audit — KD 76;
• Seo tools — KD 81.

But don’t treat keyword difficulty as the final verdict for each keyword. 

Sometimes even queries with a low difficulty score can have strong competitors in the search results. 

At the same time, a high KD does not tell you that you should not use these keywords for your semantic core at all.

First of all, you should focus on topical authority: does your website fully cover this niche or not?

Keyword Clustering

In KeywordStat, clustering uses two methods: soft clustering and hard clustering. 

Simply put, soft clustering groups related queries more broadly, while hard clustering groups queries more strictly into the same cluster.

Soft Clustering

With soft clustering, you get larger clusters and fewer pages, but those pages are more comprehensive and cover more topics.

Hard Clustering

With hard clustering, you create many small groups and, accordingly, many pages; each group requires a landing page, and these landing pages are more narrowly focused.

Why Is This Needed?

For example, you have collected many queries around one topic and don’t know how many pages to create: a smaller number or a larger number. 

You choose the clustering method and know how many pages to create.

As a result, the list of keywords turns into not just a table, but the basis for your content plan and website structure.

Domain And URL Analysis

Keyword research doesn’t always have to start from scratch. 

If the project already exists or you can review and understand your competitor, you can check their keywords.

For this, enter either the domain or URL of the competitor’s website. 

During the analysis, the service will show you directions for further work that you can use. You have access to the following metrics.

After the analysis, the Primary Keywords metric is available. These are the main keywords the page is optimized for, along with Secondary Keywords, which are additional keywords.

You’ll also find fields such as Likely Targets, Opportunities, and Content Gaps. 

Clicking on each keyword takes you back to keyword research, that is, to the initial stage.

Content Gaps

This section will help you see what has remained outside your attention. 

You will be recommended keyword topics that are already related to the project’s subject matter but are not yet fully used on your website.

How Does It Work?

Imagine you already have articles on a topic on your website that receive traffic but cover only part of the queries. 

Instead of creating a new page, first check what related keywords exist and how well your current content covers them.

Depending on the situation, you can make different decisions. You can: 

1. Expand an existing article by adding a new section to the article, 
2. Add a fact, 
3. Create a new page for a separate cluster, 
4. Split one article into two articles, 
5. Conversely, combine several queries.

Comparison With Competitors

Many services and all-in-one platforms are on the market, along with specialized keyword research tools. 

We want to compare KeywordStat with already well-known large SEO platforms. So in this review, we will compare KeywordStat with Ahrefs, Semrush, and SE Ranking.

It should be said right away that we are evaluating only the keyword research module in all of these tools. 

We are not considering other functionality. Our task is to determine how these services work with keywords.

Data Accuracy

No single value is correct for search volume and keyword difficulty because each tool parses this data from search results using different methods. 

Different platforms use their own databases, sources, and calculation methods. 

As a result, the same key phrase can show different search volume and KD values across services.

Data Sources

Where does the data come from? No service has direct access to Google’s servers, and Google does not provide its internal data.

Therefore, all keyword research tools and services have built their own data factories. Most often, they combine the main sources: their own search robots and crawlers.

Each service uses bots to scan many pages on the internet and find new text, links, and phrases.

Search Results Parsing

Services imitate real users’ search queries on Google, then collect and parse data on which websites rank in the top 100 for many phrases across different countries.

Official Search Engine APIs

You can purchase basic phrase popularity data through the Google Keyword Planner API. You can get official search volume and click data there.

Clickstream Data

This is optimized data about real user behavior on the web. 

These services purchase logs from third-party providers, browser extensions, free VPNs, and antivirus software, and clickstream shows where people actually click after entering a query.

KeywordStat Database

KeywordStat also uses an aggregated method. KeywordStat collects keywords through its own robots, uses search engine APIs, and big data. 

It also uses artificial intelligence to process queries, clean them, cluster them, and filter out junk.

Comparison Of KeywordStat And Ahrefs

When we compared KeywordStat’s results, they were similar to Ahrefs data in many ways. 

They likely correlate their data with Ahrefs data.

At the same time, we should not conclude that KeywordStat uses Ahrefs data, as we have no confirmation. 

Therefore, we should focus on the comparability of the results. 

We checked several keywords, and overall they fell within a comparable range and provided a similar representation of service popularity.

Comparison Of KeywordStat And Semrush

The differences in Search Volume for queries with Semrush were more noticeable in our checks.

Usually, Semrush showed higher search volume and a lower keyword difficulty score. 

This is normal for SEO tools; different databases regularly produce small search-volume discrepancies.

Therefore, a difference, for example, between 18 thousand queries and 20 thousand queries per month does not necessarily have to change an SEO specialist’s decision about whether to work with a keyword or not.

In most cases, the overall scale of demand and search interest, and the query’s competitiveness, matter more than the exact number.

Comparison Of KeywordStat And SE Ranking

Here, the differences were more significant. 

In several queries we checked, KeywordStat showed a higher search volume than SE Ranking. 

The Keyword Difficulty values also differed.

For us, this was an interesting result, since Search Volume and KD are often used at the first stage of semantic research. 

At the same time, we wouldn’t call one number objectively correct and another incorrect. 

So we return to the different calculation methodologies.

Working With Keywords

After we collect, filter, and group the keywords, we need to use the results further. And in Keywords, this is done very conveniently.

You can copy the queries in one click and keep working with them, then paste them into a Google spreadsheet or Excel to continue.

Or you can download them as a CSV. This is a simple file with four columns: Keywords, volume, KD, and intent. 

Nothing extra, and you can continue working with the keywords in this file.

For example, after researching keywords related to the query SEO, we got the following table:

KeywordStat Pricing

KeywordStat offers both paid and free plans, which is enough to test the main workflow.

You get two free analyses per day, with no registration. You simply need to authorize through a Google account.

You then get five analyses per day for registered users and up to 250 keywords in one analysis. 

You get all the main metrics, standard exports, and clustering — everything is available to you.

For more extensive work, pricing plans start at $9 and $29 per month.

Who Is KeywordStat Suitable For?

Of course, it is designed for people who work with keywords, and I wouldn’t say you should consider it only for beginners because of its low price.

Specialists of different levels can use it to quickly collect and evaluate keywords.

Final Verdict

KeywordStat is primarily interesting because of its focus. It isn’t trying to replace Ahrefs, Semrush, or SE Ranking for SEO tasks.

KeywordStat solves one simple task — keyword research — and it does it at the highest level.

The workflow is simple: the main seed keyword, analysis of that keyword across eight key metrics, semantic expansion, filtering and removal of unnecessary queries, clustering, and export.

When comparing KeywordStat with large SEO platforms, the search volume data was often comparable, although discrepancies exist between the databases of all services.

Therefore, we can confidently say KeywordStat is an independent keyword research tool. 

It can serve as a core part of an existing SEO process.

In our opinion, the service’s main advantage isn’t the number of features, but that it performs its task well and quickly, all within a pleasant interface.

If your task is to regularly find keywords for a website, then it makes sense to test KeywordStat AI-Powered Keyword Finder on your own project and see how it performs the tasks you need.

Read Also:

• Keyword Mapping: What Are The Best SEO Techniques On Trend?
• How Many SEO Keywords Should I Use? A Comprehensive Guide
• Rank And Rent SEO: Beginner’S Guide & Keyword Research