• Home
  • Advertising
  • Bing Products and SEO
  • Building Presence on Social Networks
  • Google Products
  • Online Marketing
  • Random Stuff
  • Search Engine Optimization
  • Web Development
  • Website Design

Latent Semantic Indexing and SEO

Search Engine Optimization Dec 26, 2006
Latent Semantic Indexing and SEO

Latent Semantic Indexing and SEO

Latent Semantic Indexing and SEO – Indexing has always been considered a highly targeted science. Enter a search query into Google search, and the pages that are displayed are generally optimized towards that exact word or term. However, in their ongoing battle to serve the most relevant and natural pages with genuinely helpful information, Google has incorporated latent semantic indexing (LSI) into its algorithms.

What Is LSI?

LSI is a unique indexing method that potentially takes Google’s search one step closer to becoming human in its thinking. If we were to manually search through web pages to find information related to a given search term, we would likely generate our results based on the site’s theme, rather than whether the word exists on the page or not.

Why Search Engines Might Adopt Latent Semantic Indexing

The highly rigid form of keyword indexing also made it easier to implement black-hat SEO techniques. Search engines could be manipulated into ranking a site highly by using a set formula. Originally, cramming a page with a particular keyword or set of keywords meant a site would rank highly for that search term. The preceding set of algorithms ensured that your link profile played a more critical part than your keyword density. Reciprocal linking soon followed again, making it possible to manipulate search engine spiders by exchanging links with tens, hundreds, or thousands of websites.

Reciprocal linking was soon overshadowed as Google, and to a lesser extent, Yahoo and MSN gave less weight to reciprocal links compared to one-way inbound links.

Latent Semantic Indexing is another compelling method to make their result pages appear more natural, with pages filled with natural content.

The Effects

The introduction of LSI has already led to some dramatic changes in search engine results pages.

Sites that previously performed well due to an impressive link profile based on a single keyword have found their pages slipping in the rankings. Other pages with a more diverse portfolio of inbound links are taking the lead with search terms for which they had not previously performed.

SEO is far from dead because of LSI; in fact, if anything, it has probably increased the need for professional, white-hat SEO on your website.

The field of SEO, though, has almost certainly changed.

Website content copywriting for Google’s benefit is no longer just about keyword density and placement, as it once was. Link-building techniques will also need to change to incorporate LSI algorithms, but it can still be done.

Writing Content For LSI

If you optimize solely for Google, then a web page can, theoretically, be naturally written and optimized for search engines. When we write, we instinctively include the appropriate keywords in our text. To avoid repetition (or keyword optimization, as it was once called), we often replace some instances of these keywords with words of the same or very similar meaning. We naturally include the plural or singular form of a keyword as well as different tenses and a number of different stems of that keyword. In the eyes of the LSI algorithm, this is all good news.

Looking At Your Link Profile

A link profile should no longer consist of thousands of links with the exact anchor text (that of your primary keyword). There’s no reason to panic if you already have this kind of profile. Instead, you should look at relevant and similar terms and improve your link profile by gaining links using these as your anchor text.

What It Offers Web Searchers

From the perspective of web searchers, LSI offers several distinct advantages over traditional indexing. For example, LSI recognizes that the word “engine” in “search engine optimization” is not related to searches for terms like “steam engine” or “locomotive engine” and is instead related to Internet marketing topics. In theory, LSI results provide a more accurate list of results, as well as a broader range of pages still focused on a particular subject.

Where Google Leads, Others Generally Follow

It is widely acknowledged that Google is the search engine at the forefront of latent semantic indexing. On the whole, they try to generate results pages that are literally filled with genuine, practical results, and LSI certainly provides another string to their bow. Yahoo and MSN, for now, seem more than happy to go along with a keyword-specific index. Although Yahoo is known to consider both singular and plural keyword variations, as well as keyword stemming, when evaluating keyword density.

The Effect On Your Website

How it affects the individual webmaster depends on how they currently promote their site.

Suppose the pages are filled with natural content, including keywords and keyword alternatives, and the link profile is similarly diversified for several related keywords. In that case, it won’t make much of a difference. However, if all your efforts have been concentrated, either on-page or off-page, on a single keyword, then it’s time to rebalance.

# Latent Semantic Indexing and SEO

About the Author:
Post excerpts from Matt Jackson’s
homepage content, author for WebWiseWords. 

Share This Post
Facebook Twitter Linkedin Google+
Newer Older

Archives

  • May 2025 (1)
  • April 2025 (5)
  • March 2025 (1)
  • November 2024 (1)
  • June 2023 (1)
  • August 2021 (1)
  • April 2021 (1)
  • March 2021 (3)
  • February 2021 (1)
  • April 2020 (1)
  • November 2019 (1)
  • May 2019 (6)
  • September 2018 (1)
  • May 2018 (1)
  • April 2018 (1)
  • November 2016 (1)
  • August 2016 (1)
  • April 2016 (1)
  • November 2015 (1)
  • October 2015 (1)
  • September 2015 (2)
  • February 2014 (1)
  • October 2013 (2)
  • September 2013 (1)
  • August 2013 (1)
  • June 2013 (2)
  • May 2013 (1)
  • February 2013 (2)
  • September 2012 (2)
  • August 2012 (3)
  • May 2012 (2)
  • November 2011 (1)
  • August 2011 (1)
  • July 2011 (1)
  • June 2011 (1)
  • May 2011 (3)
  • March 2011 (1)
  • December 2010 (2)
  • August 2010 (3)
  • July 2010 (2)
  • October 2009 (2)
  • July 2009 (1)
  • October 2008 (2)
  • August 2008 (3)
  • July 2008 (1)
  • May 2008 (2)
  • April 2008 (1)
  • January 2008 (1)
  • November 2007 (1)
  • September 2007 (1)
  • July 2007 (2)
  • June 2007 (3)
  • January 2007 (2)
  • December 2006 (3)
  • October 2006 (1)
  • September 2006 (2)
  • August 2006 (1)
  • July 2006 (2)
  • June 2006 (2)
  • May 2006 (2)
  • April 2006 (5)
  • March 2006 (2)
  • February 2006 (3)
  • January 2006 (3)
  • December 2005 (3)
  • November 2005 (7)
  • October 2005 (8)
  • September 2005 (5)
  • August 2005 (5)
  • July 2005 (1)
  • February 2005 (3)
  • January 2005 (1)