Understanding Keyword Density.

I have been discussing keywords in my last three posts and I would like to end the series (on this particular aspect) to give you an understanding of Keyword Density (KD). Keyword density analyzers wind up centring individuals around something that is most certainly not essential. This causes a few people to write contents that looks like a robot wrote it.

 That sort of content won't motivate people to link to it and won't convert well. Some years ago, Dr. Garcia, an information recovery scientist, composed an article about keyword density. His conclusion was "this general proportion [keyword density] tells us nothing about:


• the relative distance between keywords in reports (proximity);

• where in a document the terms happen (distribution);

• the co-reference frequency between terms (co-occurrence);

• or the principal theme, topic and sub-topics (on-topic issues) of the documents.

Along these lines, Keyword Density is separated from content quality, semantics, and significance."

Why Focusing on Keyword Density is a Waste of Time .

About half of all search queries are unique. A number of the quests that bring visitors to your site are for keyword phrases you never would have speculated. In the event that a site is not well established, most search traffic will be for long, multi-word search queries. At the point when webmasters start thinking about keyword density, a large number of them tend to evacuate illustrative modifiers and other semantically-related terms.

Since some of those terms will no longer show up on the page, the "optimized" site no longer ranks well for some queries. People compose, search and utilize language in comparative ways. In this way, in the event that you compose naturally, you will be much better optimized for long-tail searches than some individual who sits around idly on keyword density will be.

If the content sounds like it was intended for search engines rather than people, then less individuals are going to want to read it or link to it. Time spent tweaking keyword density would as a rule, be better spent creating extra helpful unique content.

 Inner- Speak

A noteworthy mobile phone organization declines to use the terms ‘cellular phone’ or ‘cell phone’ on their site on the grounds that, in their words, "We don't simply sell analogue telephones, we sell digital telephones as well. "Cellular" is old technology." In engineering- speak, ‛cellular phone' is a telephone that uses 'cell towers' to move voice forward and backward by means of analogue frequencies.

They didn't appear to comprehend that most clients allude to their mobile phone as a 'cell phone' or 'cellular phone,' and they don't give a tear about the innovation that makes the telephone work. Ensure you research how clients search. Try not to depend on what the company wants to call things.

Discovering Keywords

There are a wide range of approaches to discover keywords for your site. Some great keyword thoughts are the following:

• Words people would search for, to discover your product.

• Results from information mining your site-level search information if you have a site-level search.  

• Mind map problems your prospective clients may be trying to solve with your product or service  (even if they don’t know you exist).

• Keyword labels on competitors’ websites.

• Visible page copy on competitors’ sites.

• Related search suggestions at large search engines such as Google or Yahoo!  

• Related term suggestions at smaller search engines such as Gigablast, Vivisimo, Become.com, and  Snap.

• Keyword groupings via tools such as  Google Sets or the MSN clustering technology preview.

• Lexical FreeNet: Helps finds related terms and thoughts utilizing a substantial database of related     terms (this is well beyond the scope of needs for people trying to do SEO).

• Tag Cloud: Tag Cloud is a free folksonomy tool that shows related terms.

If your product name or brand are identified with other common terms in your market, then you are doing a nice job working your brand into the semantic language.