- To discover new web pages
- To help determine how well a page should rank in their results
Links as a ranking factor are what allowed Google to start to dominate the search engine market back in the late 1990s. One of Google's founders, Larry Page, invented PageRank, which Google used to measure the quality of a page based in part on the number of links pointing to it. This metric was then used as part of the overall ranking algorithm and became a strong signal because it was a very good way of determining the quality of a page.
It was so effective because it was based upon the idea that a link could be seen as a vote of confidence about a page, i.e., it wouldn't get links if it didn't deserve to. The theory is that when someone links to another website, they are effectively saying it is a good resource. Otherwise, they wouldn't link to it, much in the same way that you wouldn't send a friend to a bad restaurant.
However, SEOs soon discovered how to manipulate PageRank and search results for chosen keywords. Google started actively trying to find ways to discover websites which were manipulating search results, and began rolling out regular updates which were specifically aimed at filtering out websites that didn't deserve to rank.
This has also led to Google starting to discount a number of link building techniques that were previously deemed fine, for example, submitting your website to web directories and getting a link in return. This was a technique that Google actually recommended at one point, but it became abused and overused by SEOs, so Google stopped passing as much value from that sort of links.
More recently, Google has actively penalized the rankings of websites who have attempted such overuse of these techniques—often referred to as over-optimisation—in their link building. Google’s regular Penguin updates are one such example. Knowing which link building techniques to avoid and stay within Google’s guidelines is an important subject that we’ll discuss later in this guide.
We don't know the full algorithm that Google uses to determine its search results—that's the company's "secret sauce." Despite that fact, the general consensus among the SEO community is that links still play a big role in that algorithm. They represent the largest two slices of the pie chart below.
Weighting of thematic clusters of ranking factors in Google
Domain-Level, Keyword-Agnostic Features
(e.g. quantity of links to the domain, trust/quality of links to the domain, domain-level PageRank, etc.)
Page-Level Link Features
(e.g. PageRank, TrustRank, quantity of link links, anchor text distribution, quality of link sources, etc.)
Page-Level KW & Content Features
(e.g. TF*IDF, topic-modeling scores, on content, content quantity/relevance, etc.)
Page-Level, Keyword-Agnostic Features
(e.g. content length, readability, uniquness, load speed, etc.)
Domain-Level Brand Features
(e.g. offline usage of brand/domain name, mentions of brand/domain in news/media/press, entity association, etc.)
User, Usage, & Traffic Query Data
(e.g. traffic/usage signals from browsers/toolbars/clickstream, quantity/diversity/CTR of wueries, etc.)
Social Metrics
(e.g. quantity/quality of tweeted links, Facebook shares, Google +1s, etc.)
Domain-Level Keyword Usage
(e.g. exact match keyword domains, partial-keyword matches, etc.)
Domain-Level, Keyword-Agnostic Features
(e.g. domain name length, extension, domain HTTP response time, etc.)
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