Open Repository of Web Crawl Data
Common Crawl (commoncrawl.org) earns a Brand Analyzer score of 77 out of 100, placing it in the Brand-Ready tier among Non-profit brands, Technology brands. Among 632 Non-profit brands analyzed, Common Crawl ranks in the 88th percentile (category average 67, leader 95). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 78/100, Digital Presence 82/100, Visual Identity 93/100, Messaging Clarity 95/100, Trust Foundation 76/100, AI Discoverability 69/100, Brand Authority 59/100.
Common Crawl is a nonprofit organization founded in 2008 that builds and maintains an open repository of web crawl data accessible to anyone. It provides a free corpus of over 300 billion web pages spanning 15 years, enabling researchers, AI developers, data scientists, and academics to extract, transform, and analyze large-scale web data. It is positioned as the leading nonprofit provider of freely accessible, massive-scale web crawl data for research and AI applications.
| Brand Name | Common Crawl |
|---|---|
| Domain | commoncrawl.org |
| Industry | Non-profit, Technology |
| Founded | 2008 |
| Main Competitors | Internet Archive, Google Dataset Search, ClueWeb, GDELT Project, Pushshift |
Moz Domain Authority 62/100 vs category average 36 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #64,569 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Common Crawl has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "We build and maintain an open repository of web crawl data that can be accessed and analyzed by anyone." (Meta description: 19 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, LinkedIn, Facebook, Instagram, YouTube; no detected presence on X (Twitter) - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Common Crawl scores 61/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Common Crawl has a moderate AI-visibility profile at 61/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (75/100) and its weakest is trust (37/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #64,569 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Common Crawl is a nonprofit organization founded in 2008 that builds and maintains an open repository of web crawl data. It is described in knowledge-graph sources as the eponym of a large, periodic, and open web crawl. Its mission is to make web crawl data freely accessible and analyzable by anyone, positioning itself as the leading nonprofit provider of massive-scale, openly accessible web crawl data for research and AI applications.
Sources: Common Crawl official site
Common Crawl's main competitors include Internet Archive, Google Dataset Search, ClueWeb, GDELT Project, Pushshift. These companies compete in the Non-profit space for similar customers, offering comparable products or services.
Sources: Common Crawl official site
Common Crawl's primary offering is an open repository of web crawl data - a free corpus of over 300 billion web pages spanning 15 years. This dataset is made available for wholesale extraction, transformation, and analysis. The organization maintains and regularly updates this crawl data, making it accessible to researchers, AI developers, data scientists, and academics worldwide. No additional distinct commercial products or services are described in the available information.
Sources: Common Crawl official site
Common Crawl builds and maintains an open repository of web crawl data that can be accessed and analyzed by anyone. It provides a free, open corpus of over 300 billion web pages spanning 15 years, enabling wholesale extraction, transformation, and analysis of web content. The data is made available to researchers, AI developers, data scientists, and academics worldwide who need large-scale web data for their work.
Sources: Common Crawl official site
Popular alternatives to Common Crawl include Internet Archive, Google Dataset Search, ClueWeb, GDELT Project, Pushshift. Each is an established option in the Non-profit space; the best fit depends on your specific needs, budget, and required features.
Sources: Common Crawl official site
Common Crawl has moderate AI-search visibility, scoring 61/100 on Brand Analyzer's AI visibility composite (visibility 75, trust 37, recommendation 65). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Common Crawl official site
Common Crawl is known for providing a free, open corpus of over 300 billion web pages spanning 15 years. It is recognized as the leading nonprofit provider of massive-scale, freely accessible web crawl data used in research and AI applications. Its periodic, large-scale web crawl repository is widely used by the global research and AI development communities as a foundational data source.
Sources: Common Crawl official site
Common Crawl was founded in 2008. Common Crawl operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Common Crawl is popular because it provides a free, open corpus of over 300 billion web pages spanning 15 years, available to anyone without cost or access restrictions. This makes it a valuable resource for researchers, AI developers, data scientists, and academics who require large-scale web data for training machine learning models, conducting linguistic research, or analyzing web content. Its nonprofit status and open-access model remove financial and legal barriers that typically limit access to data at this scale.
Sources: Common Crawl official site
Common Crawl and Internet Archive are competitors in Non-profit. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Common Crawl official site
Common Crawl's data is used by researchers, AI developers, data scientists, and academics who analyze open web data. Its large-scale, freely accessible corpus is particularly valuable for those working on natural language processing, machine learning model training, web research, and data analysis projects that require broad and extensive web content. The open and free nature of the repository makes it accessible to users across academic, independent research, and technology development contexts.
Sources: Common Crawl official site
Common Crawl is a nonprofit organization, which aligns with its stated mission of providing open, freely accessible web crawl data for public benefit. Its value proposition emphasizes openness and accessibility for researchers worldwide, and it has been operating since 2008, indicating long-term institutional stability. Its nonprofit status and open-access model suggest a mission-driven rather than commercially motivated organization, which are generally indicators associated with trustworthiness in the research community.
Sources: Common Crawl official site
Common Crawl scores 65/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Common Crawl official site
Common Crawl can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Common Crawl official site
Ranked closest to Common Crawl: Confederation of British Industry (CBI) (77/100), Be My Eyes (77/100), ePrex (77/100), JewishGen (77/100).
A step up - brands to learn from: Keela (81/100), Habitat for Humanity (81/100).
Category leader: Cleveland Clinic (95/100).