SERP (search results) analysis on Google
SEO | Filip Podstavec
Google search results haven't been showing just the first 10 positions for a long time. There are many features being added periodically to the outputs, such as AdWords, answer boxes (answers added straight to the search results) and much more. Often, it is not enough to be in the first position, when there is only a position zero in front of you with an answer for a query or a list of local companies.
SERP analyzer will help you determine, which features there are for given queries and who is in the first 10 positions of organic search results.Step 1
Input queries selection
First, it is necessary to select and choose queries you want to collect data for. After selecting them, insert them in the Keyword miners input.
After inserting the queries, select the language, next to the Select miners button, for which you want to collect data and then click on Select miners.Step 2
In the second step, select SERP Analyzer miner which obtains data from SERP Google and click on Get data.Step 3
Data processing and analysis
When processing, the miner takes all queries that were input by a user and collects data on them from Google. It returns a table for a user as an output, similar to the one below:
|AdWords Top||Number of AdWords ads on the top of search results.|
|#0 Feature||Features found on the top of search results. A list of features can be found here.|
|#01-10 URL||URL of given search result(1st -10th position).|
|#01-10 Title||Title of given search result.|
|#01-10 Description||Description of given search result.|
|#01-10 Features||Feature that does not apply to the entire SERP, but only a particular search result (stars,...).|
|AdWords Bottom||Number of AdWord ads on the bottom of search results.|
The outputs can be used not only for a simple analysis of the structure of SERP ( The outputs are also available in the SERP Position miner in this form) but also for query research within keyword analysis. Thanks to the outputs, you can also estimate a potential of individual queries or target specific Google features.