latent semantic indexing Analysis

Late Semantic Indexing [LSI] - Optimization for Search Engines With LSI

Latent semantic indexing is a technique of natural language processing incorporated into leading search engine algorithms. Latent semantic indexing analyzes natural relationships between words to return search results of the highest relevance.

For example: car, vehicle and automobile are synonymous and are naturally related. Words: engine, speed, wheels, gear and clutch are related, but not synonymous. Latent semantic analysis will look for both synonyms and related words on a page in order to deliver high quality results to the end user.

Before Latent Semantic Indexing was incorporated into search algorithms, spammers flooded search results with pages of no value. By looking at natural relationship between words within specific topics search engines are able to cut through low quality pages and return useful websites.

Use of Latent Semantic Indexing in Search Engine Optimization

LSI considerations are a part of search engine copywriting service. Writers look at:

Main keywords that must be incorporated in the text copy.
Synonymous words to the main keywords.
Thematically related words [for example, “credit card” and “interest rates” are thematically related].

Once identified, copywriters implement those words to create semantically sound pages that satisfy search engine algorithms.

Tools employed by copywriters include synonym dictionaries and thorough research into the topic in question. With proper research, knowledge of keywords, and synonyms - search copywriting becomes easy to execute.

Learn more about search engine copywriting. Find out about our search engine copywriting service.

Explore more services:

Company Info | Sitemap | Contact us | Privacy Policy | Employment

Your privacy is guaranteed.

Tel: 647-722-48-13

716 The West Mall, Toronto, ON Canada M9C4X6