Keyword Cupid Review

Do you often find yourself lost amongst a pile of hundreds or even thousands of potential keywords? You have exported all the keywords your competition are ranking for in ahrefs or in semrush.

You are super pumped because they all seem like great growth opportunities that you want to target with relevant pieces of content? But you face the daunting task of manually trying to filter what keywords need to be optimised on which pages to get written.

Do you ever feel conflicted on how to properly organize them to avoid keyword cannibalization? Matching the SERP intent is important so when your writers are optimising in Surfer SEO you know that the topic of the page has its own corpus.

Well, this is where Keyword Cupid could help you with all the heavy lifting.

Using proprietary “matchmaking” algorithms, Keyword Cupid will help you find insights on how your keywords should be grouped.

Is this tool the best keyword clustering method? Check out our Keyword Cupid Review to find out more…

What is Keyword Cupid?

Keyword Cupid is an unbiased Keyword Research tool.

The keyword cupid tool cluster all of your keywords using only the results of Google.

Matching the results of the SERP for your pages is integral for SEO to match search intent.

The machine learning models quickly and accurately group keywords in a way that has never been done before.

Keyword Clustering is the hardest part of keyword research and mapping out your content plan.

So check out in this Keyword Cupid Review whether this tool can carry out all the heavy lifting for your clustering of keywords.

Does Hierarchical Clustering Work?

Many claims to know how to analyze hundreds of signals to come up with the best structure for your keywords.

Despite their valiant efforts, the advents in NLP and the sheer amount of variables they analyze, they fall short.. for one simple reason?

The “heart of each keyword” is a mystery known only to the “Black Gogglebox”.

black-googlebox

Keyword Cupids Hierarchical Clustering utilises what is ranking in the SERPs to choose what keywords need to be on what page.

Most approaches focus on analyzing different variables like TF-IDF, site topical relevancy, saliency scores and NLP ontologies… which is great!

The problem is that there is always going to be a bias inserted as these methods can only speculate as to what this “black box” truly does.

Keyword Cupids approach is to scratch all of that and focus on the results without taking anything else into account or trying to hypothesize on what variables may be the most important.

What is the AI Agglomerative Hierarchical Clustering Keyword Cupid Tool?

The AI Agglomerative Hierarchical Clustering Keyword Cupid Tool is an artificial intelligence tool that clusters the keywords based on similarity.

The artificial intelligence tool uses the lexicographical order to determine distances between keywords and the co-occurrence in data sets.

In simple terms this allows you to cluster all your keywords into topics and sub-topics to help you create your list of article titles, h2s and h3s.

Why Is Keyword Cupid Different?

Keyword Cupid is different from other keyword clustering tools because uses machine learning five-layer neural net that processes text by “vectorizing” words that represent words in the different group’s text corpus.

Traditional keyword clustering tools find 3 or more URLs that rank for a set of keywords, then groups those together into unique content topics.

While utilising the SERP results to do this then there are many cases where this can return inaccurate results.

As keyword cupid deep learning uses a weighted system where the higher a ranking match can accelerate an exponential curve to group the vectors within a text corpus.

Multi-dimensional clustering data can have different entry points but the Rough Neural Networks trains an algorithm to run parallel so it turns text into a numerical form that deep neural networks can understand.

“Trust me I’m an engineer”

This was the response when I asked Lefteris Soulas for more information because I was amazed at how it grouped keyphrases together time and time again perfectly.

The deep machine learning shizzle scares me too be honest but when I have seen under the hood, it was lots of -1, 0’s and 1’s together into vector spaces so I thought it is prob just best to trust the engineer ha.

Pricing Plans

The prices to sign up to Keyword Cupid are the following:

Keyword Cupid Pricing Plans

There is a 7-day trial you can claim.

Here is the direct link to all the pricing plans available.

How To Use Keyword Cupid?

There are many tasks you can carry out in keyword cupid clustering tool.

Simple Keyword Report

Here is a step by step guide on how to use Keyword Cupid “simple keyword report”:

  1. Login to Keyword Cupid once you have the list of keywords ready to group from ahrefs or semrush keyword research
  2. In the bottom left of your screen “Add New Project” to name your specific clustering run
  3. Click on the “Simple Keyword Report” dropdown
  4. Fill in the “Name Report” field so you know what the report is
  5. Select the project from the dropdown
  6. Load your list of keyword data into https://delim.co/ to get your full list of keywords separated by a comma
  7. Upload the comma-separated keywords
  8. Choose your preferred method of desktop or mobile
  9. Pin the geolocation of where you want the search query to be performed from
  10. Run the report and you will get the results

Bring Your Own Data

Here is a step by step guide on how to use Keyword Cupid “bring your own data”:

  1. Login to Keyword Cupid once you have the list of keywords ready to group from ahrefs or semrush keyword research
  2. In the bottom left of your screen “Add New Project” to name your specific clustering run
  3. Click on the B.Y.O.D. dropdown which stands for “Bring Your Own Data” report
  4. Fill in the “Name Report” field so you know what the report is
  5. Select the project from the dropdown
  6. Select your data provider of ahrefs or semrush
  7. Upload your exported file and choose the number of keywords to cluster
  8. Choose your preferred method of desktop or mobile
  9. Pin the geolocation of where you want the search query to be performed from
  10. Run the report and you will get the results

If you want to follow the step by step guide via a video check this out:

Where Can I Find Them?

The founder of Keyword Cupid is Lefteris Soulas, a data scientist turned entrepreneur.

Lefteris (Leo for short) has a passion for data-driven methodologies and creating highly scalable machine learning tools.

If you ever get a chance to speak with Lefteris Soulas I would highly recommend it as he will teach you artificial intelligence methods and systems which will blow your mind.

Keyword Cupid Testimonial

After using the keyword cupid tool for well over a year here is my testimonial for the brand:

In the era of machine-generated content with GPT-3 and other tools, it is more important than ever to focus on topical authority and create a highly relevant thematic cluster that matches the user intent you want to target. Keyword Cupid has been instrumental in quickly and accurately grouping our keywords into pages. We then interlink adjacent clusters to create content-relevant silos. While many tools claim to use machine learning, KC is the only tool in the market with a truly unbiased and unsupervised approach. It has expedited our keyword filtering process and allows us to find out what other pages we should create to augment our main category pages.

Keyword grouping into the correct clusters is very important in December 2024 and I am glad we have an amazing tool in keyword cupid that we can outsource this work to.

Summary

The keyword cupid tool is relatively new.

I am speaking to Leo on improving a few design elements I think would look nicer.

The price is ridiculously cheap and if you are looking to bridge the gap from keyword research to ordering content with a keyword grouping tool you should grab your hands on this before the rates increase.

“Using a Keyword Clustering Tool will gain you a significant advantage over your competition and optimize your on-site page architecture to align with what Google wants to see”

I am currently testing all the keyword clustering tools at present because I need to implement this into my SOPs.

Try KEYWORD CUPID Free For 7 Days

The SOPs are crucial when looking to scale out new projects like this live case study and when investing in digital assets from suppliers like ODYS I need to make sure from keyword research to monetisation is all systemised efficiently.

The keyword grouping will certainly save my staff hundreds of hours in manually working through tens of thousands of keywords to put them into specific pages which need ordering with the content writers.

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