How Keyword Density / SEO

How Keyword Density Is Supposed to Work for Go-BlogSeo; But Doesn't
The basic idea of keyword density is quite obvious. If one keyword is repeated more often in the description of a specific product, it is likely that the webpage is related to that keyword. So when a user searches for that keyword, the search engine is doing the user a favor by listing the keyword-dense page on its results page.

I guess you can sense some irony in the line of reasoning above. Indeed, it is foolish to assume that search engines would be so naive. There might have been a time when this was true, but that time is long gone.

Why Keyword Stuffing Is a Sin
Keyword stuffing refers to the practice of repeating keywords in excess of natural usage. It is a bad idea because of two reasons:

    Search Engines Hate It
    With over a decade of professional Go-BlogSeo experience, I can confidently state that I have not seen keyword stuffing work in the past couple of years. The few instances where it seems to work is for search terms that are highly uncompetitive, i.e., almost no one is searching for them. In these rare cases, your product description page might truly be the most relevant result.

 
    Shoppers Hate It
    Search engines hating keyword stuffing should be enough to discourage you from this blackhat practice. But the fact that shoppers hate it should put paid to any misplaced notions that you might have about fooling search engines. Why do people hate keyword stuffing you ask? Quite simple: keyword stuffed product descriptions sound horrible.

How Do You Indicate the Relevance of Your Page for a Specific Keyword?
If keyword stuffing is out, what do you do? Is there such a thing as SEO copywriting? Luckily, the answer is a resounding, "Yes!"


How Do You Compute Keyword Density?
If you have a 500-word article, and you want to maintain a 2% Keyword Density, you would repeat the keyword 10 times. That is calculated as (2 ÷ 100) × 500 = 10. I am explaining this computation only to illustrate what people mean when they suggest specific measures of keyword density, and not because I advocate such pseudo-science.