During my experience as a SEO agency manager, I sought to optimize every process of the company. My goal was to improve the return on investment as well as the quality of deliverables to our clients. And, I must admit, keyword research was one of the tasks that scared me the most. Until I understood the importance of the semantic field and thematic clusters ! Then came the launch of SEOQuantum
I would have loved to have a tool like that…
For a long time I was stuck on keyword strategy: a long and tedious job
We usually start by establishing Telemarketing Leads a list of strategic keywords for our client’s business. The goal is to present the client with a keyword strategy based on SEO content . Once this list was determined (from 100 to over 1000 keywords), the team spent long days enriching it, classifying it and grouping it by semantic themes, search volumes, level of competition…
SEO Keyword Strategy in Excel
In short, a tiring and error-prone job . I quickly realized that this task did not satisfy anyone and did not bring any added value…
I searched for a solution to develop the keyword strategy…
Important reminder: “old SEO” i.e. one keyword per page is now obsolete . Back then, we optimized phrases like [restaurants in Italy] and [Italian restaurants] using two different pages, one for each keyword. This is probably how we all started…
Google’s search algorithm ( via Rankbrain , Hummingbird, or Helpful Content updates ) has overtaken this practice, and thankfully! Of course, it can still work . The saddest thing is that most SEO plugins (like Yoast for WordPress) still rely on this “1 word = 1 page” approach.
Once the dataset is built, the tool uses a **data partitioning machine learning algorithm to create clusters, groupings Hong Kong Lead of keywords by semantic affinity . Note: the algorithm determines the appropriate number of clusters “automatically”, some keywords have a “fuzzy” positioning, that is, they can belong to one or several clusters. The direct consequence is that some clusters do not have well-defined borders.
