Skip to main content

Search Engines Driving Visitors to Wikipedia

Nielsen Online announced that four out of the five top referring Web sites to Wikipedia -- which has grown nearly 8,000 percent over the last five years -- are search engines, led by Google.

In April, 61 percent of visitors from home and 66 percent of visitors from work to en.wikipedia.org were referred from Google. Yahoo! Search was the second most common referring site to English-language Wikipedia, referring 19 percent and 16 percent of visitors from home and work, respectively.

Other search providers to make the top five referring destinations for Wikipedia were MSN/Windows Live Search and AOL Search.

"Search providers dominate Wikipedia's referring traffic because of its scope and value as an information resource," said Michael Pond, media analyst, Nielsen Online.

"The site's rapid ascent, with audience levels comparable to popular brands such as eBay and MySpace, demonstrates the success of its collaborative nature -- readers can edit entries and add information. This consumer involvement has led to an increase in blog mentions of Wikipedia, which builds the site's relevance and credibility."

In the past five years, Web traffic to Wikipedia has skyrocketed, increasing nearly 8,000 percent from April 2003 to April 2008. Year-over-year growth rates indicate surges where Wikipedia gained traction in the online marketplace.

"Wikipedia content is inherently conversational, driving buzz in the blogosphere," continued Pond. "Bloggers refer to and link to Wikipedia content, potentially driving additional traffic and interest in the site with their readers."

Popular posts from this blog

When AI Spending Reaches $3.6 Trillion

Enterprise AI budgets are flowing in two directions at once, and only one of them builds an asset the buyer actually controls. Gartner's latest forecast puts worldwide AI spending at $2.7 trillion in 2026, but the composition of that figure matters far more than the total. Executives who read only the headline will miss the tension between what they are buying and what they actually own. The Number Behind the Number Gartner projects 2026 AI spending is a 49.5 percent increase over 2025, with $3.6 trillion forecast for 2027. AI infrastructure accounts for $1.5 trillion of this year's total, more than half. Gartner's John-David Lovelock calls the data center buildout the largest infrastructure project humanity has undertaken, and describes demand as inelastic even as memory prices climb. Compute Concentration is a Sovereignty Issue Gartner expects hyperscalers and service providers buying AI-optimized servers to remain the largest single area of spending. For an enterprise, t...