Bulk Backlink Checker - Batch Analysis

This tool allows you to quickly assess the quality of multiple URLs or domains in a single backlink analysis. It speeds up the backlink analysis process and makes daily SEO work easier.

What does the bulk link checker tool do?

The tool checks multiple links at the same time and presents the results in a clear table. In one summary, the tool displays the most important backlink data. The tool analyzes domains and URLs and organizes them according to key metrics. You receive a ready-made table report with the data needed to assess your link profile.

• Analyze multiple domains at once.
• Check up to 1,000 addresses or domains in one process.
• Backlink data such as the number of links and referring domains.
• Information about nofollow, sponsored, and UGC links.
• Detection of broken backlinks and external links.
• Sorting by IP address to detect PBN networks or link farms.

How does the bulk link checker tool help SEO specialists and website owners?

The tool cuts down the time needed to analyze a large list of URLs or domains. You get a complete picture of your link profile and can draw quick conclusions. You save time with batch backlink analysis for many domains simultaneously. You lower the risk of inaccurate assessments thanks to one simple and organized report. You see numeric data without manual calculations.

• Better control over domain quality thanks to data on link types.
• Efficient risk assessment thanks to information about broken links.
• Simple sorting of domains by IP address.
• Faster decisions during backlink audits.
• Convenient data export to CSV.

Typical uses of the bulk link checker tool

• Backlink audits in large SEO projects.
• Domain quality analysis before purchase.
• Quick competitor link research.
• Detecting PBN networks and link farms.
• Monitoring changes in link profiles.
• Domain quality assessment before buying a link during link-building campaigns.

Bulk link checker tool comparison with other tools

Functionality	DiagnoSEO	Other tools
Check multiple links or domains simultaneously	✅	✅
Sorting by IP address	✅	❌
Analyze up to 1,000 URLs in one summary	✅	❌
Data on nofollow, sponsored, and UGC link types	✅	❌
Detection of broken backlinks	✅	❌
Data export to CSV	✅	✅

Tips and best practices

• Sort by IP address. You'll see domains operating on the same server (e.g., domains owned by one owner or a PBN network).
• Check the number of referring domains. This is an important domain quality signal.
• Evaluate the share of nofollow links and the number of unique IPs.
• Export data and compare it with results from previous analyses.

How to use the bulk link checker tool

1. Paste your list of domains or URLs into the text field. One line per address or domain.
2. Upload a file with your list if you have a larger data set.
3. Click the "Check backlinks" button.
4. Wait for the analysis and review the data in the table.
5. Sort by IP. You'll quickly see connections between domains.
6. Export results to CSV and use them for further analysis, for example in Google Sheets.

Case study

The SEO team received a list of 600 domains to evaluate before a link-building campaign. Manual analysis would have taken many hours. The tool checked many links simultaneously within seconds. The data showed repeated IP addresses. The team detected a potential PBN network. They rejected more than 120 risky link sources. They saved time and reduced costs. The final list was safe and in line with the campaign strategy.

FAQ

• How many addresses can I check at once?

  You can check up to 1,000 URLs or domains in one analysis.

• Does the tool show the number of backlinks?

  Yes. The tool displays, among other things, the number of backlinks and referring domains.

• Can I detect broken links?

  Yes. In the table, you'll find data about broken backlinks for each address.

• Does the tool support files with address lists?

  Yes. You can upload a file with a list of domains or URLs and run a batch analysis.

• Can I export the results?

  Yes. The tool lets you export your data to a CSV file.