Collection and promotion of search suggestions in Yandex and Google using Serpstat: step-by-step instructions

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Mimaktsa10
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Joined: Tue Dec 24, 2024 2:58 am

Collection and promotion of search suggestions in Yandex and Google using Serpstat: step-by-step instructions

Post by Mimaktsa10 »

instructions
Here's what the plan to capture top positions in search results looks like:

collection of popular keys;

clustering;

creation of a content plan;

Publish articles and get traffic!

Step 1. Collecting searc finland email list suggestions in Yandex and Google
Open Serpstat and go to the tabs “Keyword Analysis – SEO Analysis – Search Suggestions”.

Collecting search suggestions

Since Google and Yandex search suggestions will be different for the same queries, we will consider them separately.

Example 1: "Yandex" . Let's say we need to create a plan of articles about "Yandex.Direct" .

Yandex.Direct Article Plan

First of all, we select the search engine - "Yandex" (MSK), and then enter our request. The system shows us over 3000 of the most popular keys.

Most popular keys

The topic chosen is quite extensive. This means that we need to take one of the keys and work on it more deeply. To do this, right-click on the "Configure" button and select the "Open in a new tab" option.

The page that appears displays more variants of the selected query. To download them to a separate file and then divide them into groups using the clustering tool, click "Tools − Export" in the right corner.

Grouping key phrases

Example 2: Google . How do popular search keywords help create a separate publication? They are collected in Google in almost the same way as in Yandex. You just need to use a different search engine.

Let's say we are filling a blog about construction. Our goal now is to write an article about home extensions. We enter the key phrase "home extension" and select the search engine "Google - Russia".

Google search engine

We perform the same actions as in the first example, before saving the file with a set of popular keys.

Step 2. Clustering of hints
At this stage, we need to determine the homogeneity of phrases and form groups of phrases that are similar in meaning. To do this, go to the "Tools" tab in the "Clustering and Text Analytics" section.

Clustering of hints

Open it, select the project name and domain. Add the collected popular keys from the file (maximum number is 2000).

Project name and domain

Then we specify the search engine and city (the same values ​​that you used when collecting search suggestions). Next, you should decide on the strength of the connection and the type of clustering, that is, how similar the keys are in composition and meaning, how often they are promoted on the same resource page. The values ​​​​can be left by default.

New project

All that remains is to click "Done" and wait for the clustering results. This may take 5-15 minutes, depending on the number of keys being processed.
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