Get Google to know that your content is more relevant than others for your topic, even if Google doesn’t want to share with you how they judge relevance. Put simply we help you optimize your page for relevance to a given topic or keyword by using algorithms and data science to assist you.
Using our tool you can quickly get a list of terms and phrases used by the top 20 websites that already rank for your topic or keyword of interest. We believe that TF-IDF is the way to go in getting you the best list of terms and phrases to include in your copy to boost your rankings and be up there next to the top in the ranks.
Often when writing content you are focused on the task at hand and write using ideas that follow a natural progression. Using our tool you can get a list of terms and phrases beforehand so you know you haven’t missed any important subtopic or related topic for the topic you are targeting.
For non-native speakers or writers of English, certain terms can be very confusing. You can fully rely on our tool to provide you with the most natural sounding English terms and phrases to include in your content. Using awkward phrases may cause Google’s algorithms to penalize your content. Avoid the costs of such potential penalization by using our tool.
Compare your use of the keyword with your competitors to ensure that you are not overusing keywords. Keyword stuffing is viewed negatively by Google and you may get penalized for it.
Even if your focus is not content right now, you can use our tool to figure out all the best semantically related keywords in relation to the main keywords you are targeting.
Easily figure out what you are missing that they are targeting. This may even help you uncover some keywords and boost your rankings in an off page context too.
All computations are run on our servers not your machine.
Run analysis on one or two words
Choose from a list of countries we support to get the relevant keywords for your location.
TF-IDF is a measure of relevance unlike keyword density which is a measure of frequency. It is a measure of how important a keyword is to a top ranking website in a collection of websites all attempting to rank for that keyword.
It is a new way of thinking that goes beyond keyword density, where we try to figure out how Google calculates which websites should rank for a particular keyword.
We do this by essentially reverse engineering the process. We take the top 20 websites that already rank for the keyword and figure out their TF-IDF scores for that keyword and then go ahead and get all the statistically important terms and phrases that are found in their content.
Our algorithm weeds out some words and phrases and cleans up the data and then generates a list of phrases that are sorted by their TF-IDF scores. We include semantically related keywords and close variants in the list as well. In addition we show you the number of sites that use these phrases.
For further reading on the TF-IDF algorithm please see