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Semantic Indexing - Rank Up Your Site
Enrich the content of your webpage through Latent Semantic Indexing (LSI). LSI is a method used in order to position a word's distribution across the whole of the web. Web pages with many words in common are close to each other (semantically close) and pages with a few words in common to be semantically distant. The LSI-relationship between web pages is analyzed as the different SEs' spiders crawl the web. Spiders use LSI as one of the quality checks. Thanks to semantic indexing the spiders can evaluate your web site's relevance for certain keywords & compare your site's content with the content of thousands of other sites' content.
So the spiders that crawl the web therefore spend part of their time evaluating this LSI-factor, i.e. the relationship between the words on a site. Simplified - the co-occurrence between two words, e.g. "Norway" and "Oslo" is the measurement of the two words LSI-factor. When you add LSI as a measurement of the web sites quality it gives the SEs considerable more power to cut through the BS, spam, and promotional links, copy, etc. As the average query word length expands from 3 to 4 to perhaps 5 words or beyond, SEs can continue to provide relevant results, even if the particular "keyword phrase" is not found on a site. Semantic indexing "constructs" a relationships between words based on number of times these two words are found together, so if you write "Oslo" on Google, the SE know that "Oslo" is related to "Norway" and perhaps consider a site that combines "Oslo" and "Norway" as more relevant than a site that purely focus on "Oslo".
The Google, YAHOO!, Ask (and you have it..) spiders that crawl the web, become more and more intelligent, a must in order to extract relevant info when scanning the billions of web pages out there. The more relevant content they extract the more precise result they can provide. If we receive a precise result from the queries that we perform we'll come back for more. Why spiders work hard to provide it's users with the most relevant results. Relevant results makes the users come back for more and search engine (SE) can earn more money on marketing.
When I write content for a web page I initiate the process by searching on the keyword that is important to me on Google, YAHOO! etc. I go through the pages that the SE provide me with and perhaps use some analysis tools, e.g. DomainTools. By doing this I understand the basic structure on these sites, inbound links, domain age, keywords etc. I then extract the important keywords and run a query on Quintura. This LSI-tool gives you a good indication of what co-occurring words a SE spider expect to find on your site as you optimize for a certain keyword phrase.
I punch in Norway and the words that occur most often on web sites that have Norway written in the content appears to be; country, travel guide, vacations, map and many more words.
Main Point: If you want to work your way up the organic search results for a particular keyword, pay attention to what co-occurring words the SEs' spiders expect to find.
