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What is keyword databases

Learn more about keyword database types and how to use them. Use a ready-made online keywords database to implement an effective semantic core and improve your site's ranking.

Evaluate data quality and the size of the Serpstat database in your region: 230 Google databases and 14 Yandex databases in one tool.

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The keyword database is a list of search queries that users use over a certain period with a set of parameters. Serpstat databases are collected based on search results in 230 Google regions and 14 Yandex regions. It contains filters for selecting relevant keywords for your project.

What is a keyword database?

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Yandex databases
Google databases

What are search query databases designed for?

Keyword database can be used for the following purposes:
SEO tasks. If webmasters want to collect a semantic core, analyze top pages of competitors and select keywords that generate traffic it is important to know what search queries their potential site visitors use. Keywords are used to create and improve site sections, product or service pages, blog articles, or other info categories. Each page of the site may contain many keywords ranking in the search results: ranging from dozens to thousands.
Content marketing. For copywriters, journalists and content marketers, the keyword database allows for the creation of in-demand content that will regularly generate traffic. Based on the search queries that the audience is using, you can draw up content plans. This approach will result in more conversions than creating content based on the editor's interests, as the content will be created in response to the actual target audience's interests.
PPC ads. For contextual advertising specialists a keyword database is necessary to create ads in Google to promote certain products or services and boost company awareness. Such databases can also filter search queries by cost, competition, visibility, etc.
Competitors' analysis. Working with the keyword database is a great way to analyze the SEO and PPC campaigns of competitors. In the Serpstat online keyword database, keywords are filtered by cost, frequency, visibility, traffic, so you can always evaluate which of the competitors is promoting their pages more effectively, as well as understand their estimated budget for online marketing. In addition, by analyzing the semantic core, you can collect a list of niche leaders in order to monitor trends and assess the level of competition.

Advantages and disadvantages of keyword databases

The time needed to collect the semantic core is significantly reduced, since it is possible to unload thematic keywords in large quantities.
Databases can be filtered by a number of parameters, for example: language and region.
When used correctly, ready-made databases help to make the most complete semantic core, in some cases by as much as 80-90%.
Databases are cleaned using unique algorithms. For example, the Serpstat database has been cleaned of junk search queries, as the service algorithm removes keywords with incorrect descriptions and implicit synonyms.
Not always up-to-date data on keywords. Databases are updated over several months. However, there are exceptions: for example, Serpstat's Search Suggestions and Search Questions reports are updated in real time, so they can be used to monitor short-term trends.
Keyword databases are paid, and the cost can be quite high depending on the volume of queries. However, Serpstat has the ability to check data quality even in the free plan: up to 10 search queries per day are available after registration on the free plan.
Keywords need to be carefully filtered, since ready-made databases contain a lot of junk search queries, permutation keywords, and morphological variations.

What are the online keyword databases?

There are many tools for collecting semantic core, including online keyword databases.

The best option in terms of keyword quality, price and ease of use is the Serpstat multifunctional SEO platform: 5.2 billion keywords in 230 Google online databases and 14 Yandex databases. Data can be segmented using the built-in filter by a number of SEO and PPC parameters, which greatly expedites the collection of the semantic core.

Here are some of the parameters that can be used:
Difficulty is an indicator of keyword competition level to promote in the top 10 Google.
Rank — the domain rank in the SERP for a specific keyword.
Frequency - the average number of keyword searches per month according to Google Ads.
Traffic — estimated monthly traffic for a keyword.
Cost - cost per click.
Competition in PPC - the competition level for the keyword expressed as a percentage. The higher the score, the more difficult the promotion.
The number of results is the number of Google pages that are promoted for the keyword.

Tasks that can be solved using the Serpstat online keyword database

Selection and analysis of effective semantic core, that excludes junk search queries to compile an extensive and effective semantic core.

Comparison of competitors' semantic core to find missing keywords used by competitors. The obtained semantic core can incorporated into your project in order to increase ranking and traffic.

Getting access to 230 databases of Google keywords and 14 Yandex databases, which makes it possible to promote SEO and PPC projects for any region of the world.

Collect keywords for the semantic core quickly and efficiently. Get only high value keywords and sort them by a range of SEO and PPC parameters to optimize your budget.

Learn more about the features of the SEO and PPC tool in the free 30-minute demo.

Serpstat: online keywords database for collecting and analyzing semantic core

FAQ: Common questions about keyword research using offline and online services

1. Why is an online keyword database better than offline?

Offline keywords databases are those databases that are stored in Excel tables and are collected manually by specialists using specialized tools.

Online databases are stored in an online service, and data for them is automatically collected by search engines.

Online databases are more convenient for working with semantic core for a number of reasons:

  • Databases are automatically updated at regular intervals . This allows users to receive the most up to date data on the desired parameters.
  • The databases contain not only keywords, but also reliable data on frequency, visibility, traffic, cost per click. Using this data, you can easily an effective semantic core for any project.
  • Some of the indicators that are stored in the database are calculated for you within the platform: visibility, traffic, cost, level of competition, cost per click, number of keywords, etc.
  • Online databases are part of online services, so the user can get a number of additional benefits : help from specialists, access to training materials, the ability to use a referral program, etc.

2. How often are Serpstat databases updated?

Serpstat databases are regularly updated to ensure that the service provides users with up-to-date data.

  • Data in SEO and PPC blocks on project dashboards is updated every 2-3 weeks. At the same time, the visibility indicator is updated in the summary report of the Domain Analysis section.
  • The frequency indicator in the Keyword Analysis and Site Analysis sections is updated at different intervals: high-frequency keywords are updated once a month, and updates for low-frequency keywords can take up to 3 months.
  • Updates of the Total Traffic indicator occur every 2-3 weeks.

3. How are Serpstat keyword databases cleaned?

In order to provide users with junk-free databases, the Serpstat team created an algorithm for cleaning the database from "implicit synonyms". After cleaning, the reports show only those keywords that users really intended to enter in the search box: without misspelled keywords.
At the moment, the following databases have been cleared of junk queries:

  • Google RU (Russia)
  • Google UA (Ukraine)
  • Google KZ (Kazakhstan)
  • Google AU (Australia)
  • Google CA (Canada)
  • Google DE (Germany)
  • Google ES (Spain))
  • Google IT (Italy)
  • Google SE (Sweden)
  • Google UK (United Kingdom)
  • Google US (United States) — English.

The remaining databases are in the process of being cleaned up, as the Serpstat team plans to ultimately clear 230 Google databases.

As a result of cleaning:

  • The algorithm for counting traffic by domains has improved: it no longer takes into account junk queries and is closer to real indicators.
  • The reports display qualitatively selected keywords.
  • The speed of loading reports has increased, and the work of filters has accelerated.
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