Keyword Density
Keyword density is an indicator of the number
of times the selected keyword appears in the web page. But mind you, keywords
shouldn’t be over used, but should be just sufficient enough to appear at
important places.
If you repeat your keywords with every other
word on every line, then your site will probably be rejected as an artificial
site or spam site.
Keyword density is always expressed as a percentage of the total word content on a given web page.
Suppose you have 100
words on your webpage (not including HTML code used for writing the web page),
and you use a certain keyword for five times in the content.
The keyword density on that page is got by simply dividing the
total number of keywords, by the total number of words that appear on your web
page. So here it is 5 divided by 100 = .05. Because keyword density is a
percentage of the total word count on the page, multiply the above by 100, that
is 0.05 x 100 = 5%
The accepted standard for
a keyword density is between 3% and 5%, to get recognized by the search engines
and you should never exceed it.
Remember, that this rule
applies to every page on your site.
It also applies to not
just to one keyword but also a set of keywords that relates to a different
product or service. The keyword density should always be between 3% and 5%.
Simple steps to check the density
-
Copy and paste the content from an individual web page into a word-processing software program
like Word or Word Perfect.
-
Go to the ‘Edit’ menu
and click ‘Select All’. Now go to the ‘Tools’ menu and select ‘Word Count’.
Write down the total number of words in the page.
-
Now select the ‘Find’
function on the ‘Edit’ menu. Go to the ‘Replace’ tab and type in the keyword
you want to find. ‘Replace’ that word with the same word, so you don’t change
the text.
-
When you complete the
replace function, the system will provide a count of the words you replaced.
That gives the number of times you have used the keyword in that page.
-
Using the total word
count for the page and the total number of keywords you can now calculate the
keyword density.
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