Opportunities

The section called “Opportunities” will let you know what keywords could your URLs rank for on page 1 of the search results and uncover new keywords that your competitors rank for, along with gaps, that you may not have considered.

General Options and Filters

Options of the section Opportunities in the SISTRIX Toolbox

At the top right corner of the page you’ll find general settings for the whole page. For example, you can use the “Expert Filter” to create complex filter combinations, export the data or share them on Social Media.

Filters for the table "Opportunities" in the SISTRIX Toolbox

At the top of the table you’ll find the filter options, that will let you sort and refine your results in order to see only the ones you need and spare some time.

The table always shows mobile data but you can click on the quick filter “Desktop Data” to view the desktop data.

The green button “Filter now” will open a menu on the right side of the screen, where you’ll be able to select numerous filter combinations that will help you extract the results you need.

Finally, the cogwheel icon of the table will let you export the data, or add them in a dashboard or a report. Here you’ll also find the function “Select columns” which allows you to add more interesting columns to the table.

Keywords Opportunities List

Table of keyword opportunities for livescience.com in the SISTRIX Toolbox

The keyword opportunities table for the given domain contains all the keywords for which your domain does not rank on the first page of Google’s SERPs but that could reach it if well optimised. We order these with the highest chance opportunities at the top.

Here’s what the table looks like:

  • Keyword: keyword for which the domain is ranking.
  • Number of SERP Features: total number of SERP Features found on the result pages for this keyword. (the analysed domain does not necessarily have to be part of the features) Click on this button to see more details about the result snippet, the specific features and the result features.
  • Position: ranking position of the URL for that keyword.
  • Traffic Potential: estimated traffic that can be expected from the first organic position. In other words, the traffic potential for the best possible ranking for this keyword.
  • Competition: competition level for the keyword in the organic Google Index: 0 (low) until 100 (extremely high). The higher this level, the bigger the effort needed to organically rank for the keyword. Read more about the competition level here.
  • Search Intent: The type of search intent which is predominant for that keyword. Hover the mouse over this label to see a detailed overview of all the types of search intent estimated for the keyword. Read more about search intent here
  • Keyword history and SERPs: These two buttons located at the end of every row will help you get more data for the corresponding keyword. The first button will show you more details about the query (search volume, competition level, CPC), including its search intent and the SERPs preview. The second button is a link to the SERPs table inside the Toolbox.

You can sort the table by other criteria, simply by clicking on the column headings.

Unused Keywords

Feature Unused Keywords in the SISTRIX Toolbox

This feature uses all the ranking keywords of the competitor-domains, for which the source-domain does not have a position in the top-100 Google results.

Besides the keywords, the Toolbox shows you on which position the competitors are ranking. Moreover, you’ll see the search intent, the competition and the search volume level of that keyword.

Finally, the last two buttons located at the end of every row will help you get more data for the corresponding keyword. The first button will show you more details about the query (search volume, competition level, CPC), including its search intent and the SERPs preview. The second button is a link to the SERPs table inside the Toolbox.

Click on the column headings to sort the table by other criteria, or select the button “Common rankings” to filter the results according to the number of overlaps between all domains.