What is SEO Data? Examples, Providers & Datasets to Buy

On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is SEO Data?
SEO data refers to the information used to analyze and optimize websites for search engines. It helps businesses track keyword performance, monitor competitors, and improve online visibility. Companies can refine their content strategy, assess backlink quality, and enhance technical SEO elements to improve rankings.
This data also provides insights into search engine algorithms, user behavior, and content performance, allowing marketers to adjust strategies for better organic reach. Many SEO data providers offer API integration, making it easier to incorporate insights into existing platforms
What Are Examples of SEO Data?
SEO data includes various metrics that help businesses improve search engine rankings and digital marketing strategies. Key examples include:
- Keyword Rankings – Tracks the position of specific keywords on search engine results pages (SERPs).
- Website Traffic – Provides insights into organic, referral, direct, and paid traffic sources.
- Backlink Profiles – Analyzes inbound links, their quality, and their impact on domain authority.
- Search Volume Data – Shows how frequently keywords are searched, helping with content planning.
- Click-Through Rate (CTR) Data – Measures the percentage of users clicking on search results.
- Domain Authority & Page Authority – Assesses the strength of a website and individual pages.
Best SEO Databases & Datasets
Datarade offers a variety of SEO datasets, covering everything from keyword analytics and backlink profiles to historical search trend data. Some datasets focus on specific areas like e-commerce SEO, local search insights, or mobile SEO performance. The best datasets allow businesses to track website authority, monitor competitors’ digital strategies, and optimize content.

Serpstat: Website Data API | Unlock Key SEO Metrics | Industry Insights | Competitor Analysis

Success.ai | Intent Data | 15k Topics for Keyword, Sentiment, and Web Activity data – Best Price Guarantee

Professional Email Database 2025 | 200M Data Worldwide | Small Business Owners Email List | Local Business Directory | Professionals Email List

SERP Data, Google SERP Data, SERP API, SERP Google API, SERP Web Scraping, Scrape All Search Engine Data - Google | Bing| Yahoo | Baidu

Job Postings Data and Salary Data from Google for Jobs, LinkedIn, Indeed, Glassdoor, and more | Real-Time API

Grepsr| Yelp Resturants Address and Reviews Data | Global Coverage with Custom and On-demand Datasets

Marketing Continuum by Solution Publishing | 2M US B2B Professional Contact Data Set | B2B Contact Data | Safe to Email

B2B Data - Business Data & B2B Data Sets Worldwide (340M+ businesses, 150+ countries)

Serpstat: Websites Rating by industries | 1K+ Industries | 229 Countries | Website industry&Global Rank | Key SEO metrics | Refreshed on request

BIGDBM Website Visits Data With Industry/Context Categorization - Training Set for ML and AI
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Top SEO Data Providers & Companies
Popular Use Cases for SEO Data
SEO data is crucial for businesses looking to improve search engine visibility, optimize content, and analyze market competition. The most common applications include:
- Keyword Analytics – Identifying high-ranking and high-converting keywords for content strategy.
- Competitor Benchmarking – Understanding competitors’ keyword performance, backlink sources, and content strategies.
- Backlink Monitoring – Tracking new and lost backlinks to assess link-building efforts.
- SEO Performance Tracking – Measuring improvements in rankings, traffic, and engagement.
- Content Optimization – Refining page structure, metadata, and keyword density for better search visibility.
- Technical SEO Audits – Identifying issues like broken links, crawl errors, and mobile usability problems.
- E-Commerce SEO Analysis – Optimizing product pages and category structures for online shopping visibility.
- Search Intent Analysis – Understanding user intent behind keyword searches to refine content.
- SERP Feature Tracking – Monitoring featured snippets, knowledge panels, and other search result elements.
Main Attributes of SEO Data
SEO data attributes help businesses analyze search performance and optimize digital strategies. These attributes often include:
- Keyword name & ranking position
- Monthly search volume & CPC (cost per click)
- Traffic sources & referral domains
- Backlink type (dofollow/nofollow) & authority score
- Technical SEO insights (crawlability, page speed, structured data errors)
- Click-through rates & engagement metrics
Attribute | Type | Description | Action |
---|---|---|---|
String | The name of a company or business, might be the legal or brand name. | View 26 datasets | |
String | The approx. number of employees working for a company. | View 25 datasets | |
String | The domain name of a company website. Potential ID to match company records. | View 24 datasets | |
String | The industry classification of a company. | View 24 datasets | |
String | The name of a city. | View 23 datasets | |
String | The first name of a contact. | View 23 datasets |
Why Is SEO Data Important?
SEO data is essential for businesses looking to maintain a strong digital presence. It enables companies to analyze performance, refine content strategies, and stay competitive in search rankings.
Competitive Analysis
Access to SEO data provides an edge by revealing competitors’ keyword strategies, backlink sources, and content gaps. By analyzing this data, businesses can identify opportunities for ranking improvements and create more targeted content.
Performance Tracking & Optimization
Tracking keyword rankings, traffic patterns, and technical SEO health helps businesses measure the impact of their strategies. This ensures continuous improvement and better return on investment for digital marketing efforts.
Market Trend Insights
SEO data reflects shifts in search behavior, allowing businesses to adapt to emerging trends. Identifying changes in search volume, user intent, or industry-specific keywords ensures long-term visibility.
What is Data Structure in SEO?
Data structure in SEO refers to how information is organized and presented for search engines. Structured data, often implemented through schema markup, helps search engines understand content better and display rich results like featured snippets, FAQs, and product listings.
A well-organized website structure also plays a role in SEO by improving crawlability, internal linking, and user experience.
What is SEO in Data Entry?
SEO in data entry involves ensuring that digital content, such as product descriptions or blog posts, follows best practices for search optimization. This includes using proper formatting, keyword placement, metadata, and structured data to enhance visibility in search results.
How is SEO Data Collected?
SEO data is gathered from multiple sources, like:
- Search engine APIs – Google Search Console, Bing Webmaster Tools, and other platforms provide ranking and performance insights.
- Web crawlers – SEO tools like Ahrefs, SEMrush, and Moz use web crawlers to collect backlink and ranking data.
- Analytics platforms – Google Analytics and similar tools track user behavior, traffic sources, and engagement.
- Keyword research tools – Aggregators like Google Keyword Planner and third-party tools compile search volume and competition metrics.
Frequently Asked Questions
How is the Quality of SEO Data Maintained?
The quality of SEO Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is SEO Data Updated?
The update frequency for SEO Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is SEO Data Secure?
The security of SEO Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is SEO Data Delivered?
SEO Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for SEO Data.
How Much Does SEO Data Cost?
The cost of SEO Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of SEO Data for your needs.
What Are Similar Data Types to SEO Data?
SEO Data is similar to other data types, such as Online Search Trends Data, SERP Data, Search Engine Data, Google Data, and Bing Data. These related categories are often used together for applications like Keyword Analytics.