You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.

Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.

Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.

Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.

This database is available in JSON format only.

You don’t have to download fresh data dumps in JSON – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

During a 2024 survey among search engine optimization (SEO) professionals worldwide, ** percent of respondents stated that they used keyword rankings to measure performance over the last year. Organic pageviews followed with ** percent, while click-through rates (CTR) were named by **** percent of respondents.

Dataset

This dataset was created by Shreyashi Singh

Released under Database: Open Database, Contents: Database Contents

Contents

You can check the fields description in the documentation: current Keyword database: https://docs.dataforseo.com/v3/databases/google/keywords/?bash; Historical Keyword database: https://docs.dataforseo.com/v3/databases/google/history/keywords/?bash. You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

Understanding: UrbanScape Apparel SEO Performance Final Dataset

Company: BrightWave Digital Department: Digital Marketing & SEO Team Industry: E-commerce (fashion and lifestyle products) Brand: UrbanScape Apparel

Story

BrightWave Digital is a fast-growing digital marketing agency that handles full-spectrum SEO, SEM, and content marketing for various clients. The SEO team is tasked with pushing UrbanScape Apparel, a sustainable fashion brand, to the top of the search rankings. The brand sells eco-friendly clothing and accessories aimed at environmentally conscious consumers in North America.

UrbanScape Apparel has recently expanded its product lines and introduced new collections, such as “Urban Outdoors” for hiking gear and “EcoActive” for athleisure. With increased competition in the eco-fashion market, BrightWave Digital’s SEO team must optimize UrbanScape’s site performance, monitor SEO metrics closely, and demonstrate measurable improvements in organic traffic and conversions.

Objectives

Improve rankings for high-intent keywords like "eco-friendly clothing" and "sustainable outdoor gear." Boost organic traffic from both mobile and desktop devices. Increase visibility through backlinks from high domain authority (DA) sites. Optimize Core Web Vitals to ensure the site ranks higher in Google’s search results. The dashboard data includes traffic, keyword rankings, click-through rates (CTR), and other performance metrics to track how well the SEO efforts are contributing to the brand’s growth.

Column Description

1. Date Definition: The specific day for which the data is collected. Importance: Allows tracking of daily trends and pinpointing specific dates of spikes or drops in performance.

2. Month Definition: The month corresponding to the data being analyzed. Importance: Helps in understanding monthly trends and seasonal patterns in traffic and user behavior.

3. Year Definition: The year in which the data was recorded. Importance: Essential for long-term trend analysis and year-over-year performance comparisons.

4. Quarter Definition: The fiscal quarter (Q1, Q2, Q3, Q4) for the given data. Importance: Useful for quarterly business reviews and strategy adjustments based on performance.

5. Time Of Day Definition: The specific time range (e.g., morning, afternoon, evening) when the traffic or engagement was recorded. Importance: Helps in understanding peak traffic times and optimizing content publishing schedules.

6. Primary Keywords Definition: The main keywords targeted for SEO, typically with high search volume and relevance to the brand. Importance: Crucial for understanding the focus of the SEO strategy and the effectiveness of ranking for these terms.

7. Secondary Keywords Definition: Additional keywords that complement primary keywords, often with lower competition and specific niches. Importance: Provides insights into secondary areas of focus that can still drive significant traffic and conversions.

8. Long-Tail Keywords Definition: More specific keyword phrases usually consisting of three or more words, targeting niche search queries. Importance: Important for attracting highly targeted traffic and often associated with higher conversion rates.

9. Location Definition: Geographic region from where the traffic is coming. Importance: Helps in understanding regional performance and tailoring content or promotions to specific markets.

10. Social Media Source Definition: The social media platform (e.g., Instagram, Pinterest) from which traffic is referred to the site. Importance: Measures the impact of social media channels on website traffic and engagement.

11. Media Type Definition: The format of the media content (e.g., image, video, article) driving traffic. Importance: Analyzes which media types resonate best with the audience and contribute to higher engagement.

12. Device Type Definition: The type of device used by visitors (e.g., mobile, desktop, tablet) to access the website. Importance: Essential for optimizing user experience across different devices and identifying potential issues.

13. Organic Traffic Definition: The number of visitors coming to the site through unpaid search results. Importance: Shows how well the site is performing in attracting users through SEO efforts without relying on paid advertising.

14. Keywords Ranking Definition: The position of targeted keywords in search engine results pages (SERPs). Importance: Indicates the effectiveness of SEO strategies in improving keyword visibility and competitiveness.

15. Clicks Definition: The number of times users click on the site’s links from search results. Importance: Reflects user interest and relevance of the search snippets or ads shown to users.

16. Impressions Definition: The number of times a site appears in search r...

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

The Enterprise SEO Platforms market has emerged as an indispensable component for businesses aiming to enhance their online presence and drive organic traffic through effective search engine optimization strategies. Designed specifically for large organizations with complex web architectures, these platforms provide

A stacked bar chart showing the relative importance of different factors when deciding on an AI SEO tool.

The AI SEO software tools market is experiencing robust growth, driven by the increasing need for businesses to optimize their online presence and improve search engine rankings. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $10 billion by 2033. This expansion is fueled by several key factors, including the rising adoption of artificial intelligence in digital marketing, the growing complexity of SEO algorithms, and the increasing demand for data-driven insights to enhance website performance. Businesses are increasingly relying on AI-powered tools to automate tedious tasks, analyze large datasets, and identify optimization opportunities that would be difficult or impossible to achieve manually. The trend towards personalized user experiences also contributes significantly to the market's growth, as AI tools can help tailor content and website strategies to individual user preferences. Several key segments are driving this growth. The demand for keyword research tools, content optimization platforms, and technical SEO solutions is exceptionally high. The competitive landscape is vibrant, with a mix of established players like BrightEdge and newer entrants like Surfer SEO and Frase vying for market share. The market is also witnessing continuous innovation, with new features and functionalities being added regularly. However, the market faces some restraints, including the high cost of implementation for some AI SEO tools, the need for specialized skills and expertise to effectively utilize these technologies, and concerns about data privacy and security. Nevertheless, the overwhelming benefits in efficiency, improved rankings, and data-driven decision-making are expected to outweigh these challenges, further accelerating market growth in the coming years.

The SEO tools market is projected to be valued at $2.8 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 8.9%, reaching approximately $6.4 billion by 2034.

The Enterprise SEO Platforms market is experiencing robust growth, driven by the increasing reliance of businesses on digital channels for customer acquisition and brand building. The market size in 2025 is estimated at $5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected from 2025 to 2033. This growth is fueled by several key factors. Firstly, the ever-increasing complexity of search engine algorithms necessitates sophisticated SEO tools capable of managing large-scale website optimization efforts. Secondly, the rise of mobile-first indexing and the growing importance of voice search are forcing companies to adopt advanced SEO strategies, which in turn fuels demand for robust enterprise-grade platforms. Finally, the need for precise measurement and reporting of SEO performance is driving adoption of platforms that offer comprehensive analytics and data visualization capabilities. The market is segmented by platform type (navigational, transactional, informational) and user application (SMEs, large enterprises), with large enterprises representing a significant portion of the market due to their higher budgets and more complex SEO needs. The competitive landscape is highly dynamic, with established players like SEMrush and Ahrefs alongside emerging specialized platforms continuously innovating to meet evolving market demands. Geographic distribution shows a strong concentration in North America and Europe, reflecting the higher digital maturity and adoption rates in these regions. However, Asia-Pacific is expected to witness significant growth in the coming years as businesses in this region increasingly invest in digital marketing strategies. The future of the Enterprise SEO Platforms market appears promising, with continued growth driven by technological advancements and evolving search engine landscapes. The increasing demand for data-driven decision-making in SEO will further propel the adoption of advanced analytical tools. Furthermore, integration with other marketing platforms, such as CRM and marketing automation systems, will become increasingly crucial for seamless workflow and data-driven campaign optimization. This necessitates the development of more integrated and user-friendly platforms, placing further pressure on vendors to innovate and provide comprehensive, value-added services. Despite these positive trends, challenges remain, including the need for greater transparency in SEO reporting and the ongoing evolution of search engine algorithms, requiring constant adaptation and platform updates.

A stacked bar chart showing the percentage of respondents citing various primary, partial, or minor motivations for exploring AI SEO.

A stacked bar chart showing which criteria are considered 'Top priority', 'Important', or 'Not a priority' when selecting a tool.

The SEO Tools for Digital Marketing market has experienced significant evolution over the past decade, emerging as a critical component for businesses striving to enhance their online presence and drive organic traffic. These specialized tools play a pivotal role in optimizing websites, enabling marketers and busine

The Search Engine Optimization (SEO) services market is experiencing robust growth, driven by the increasing reliance of businesses on digital channels for customer acquisition and brand building. The market's expansion is fueled by several key factors. Firstly, the ever-evolving algorithms of major search engines like Google necessitate continuous optimization efforts from businesses to maintain high search rankings. Secondly, the growing adoption of mobile devices and the increasing importance of local SEO are creating new opportunities for specialized SEO services. Thirdly, the rise of sophisticated SEO tools and technologies is enabling agencies and in-house teams to deliver more effective and data-driven results. A conservative estimate, considering a typical CAGR in this sector of 10-15% and the provided study period (2019-2033), suggests a 2025 market size of approximately $50 billion (USD). This is a projection based on general industry trends and growth patterns; exact figures would require more comprehensive data. However, the market also faces certain challenges. The increasing complexity of SEO necessitates specialized skills and expertise, which can lead to higher costs for businesses. Furthermore, the ever-changing SEO landscape requires continuous learning and adaptation from service providers. Competition within the SEO market is fierce, with established players such as SEMrush and Ahrefs competing against smaller, specialized agencies. Nevertheless, the long-term outlook remains positive, driven by the continued importance of organic search in driving online traffic and conversions. Geographic distribution is likely skewed toward North America and Europe initially, with Asia-Pacific demonstrating strong potential for future growth given the burgeoning digital economies in those regions. The presence of major players from various regions such as the US, UK, Singapore, and Austria reflects a global market with diverse service offerings and competitive landscapes.

The SEO Content Creation Services market has emerged as a pivotal component of digital marketing strategies, essential for businesses aiming to enhance their online visibility and engagement. Effective SEO content creation involves crafting high-quality, relevant content that is optimized for search engines, thereby

"*******" was the most frequently searched keyword on Google worldwide, with over ***** million monthly online searches during the analyzed period of January to March in 2025. Furthermore, the search resulted in more than ***** million website visits, or more than **** percent of all traffic. With *** million monthly searches, "***" was the second most popular keyword, and "***********" came in third place with about ****** million searches per month.

This dataset provides a comprehensive analysis of the ideal keyword difficulty sweet spot for small businesses to target for quick SEO wins. It includes insights on the optimal keyword difficulty range, expected timeframes for results, necessary tools and strategies, and the importance of location-specific keywords and commercial intent. The data was gathered through industry research, expert interviews, and analysis of real-world case studies to provide actionable guidance for businesses looking to maximize their SEO efficiency and impact.

Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization"

Abstract of the article:

This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research.

Market Size statistics on the SEO & Internet Marketing Consultants industry in the US