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    Importance of Keyword density in Google indexing and SERP


    hi

    my question is how Google calculate SERP
    does Google gives importance to Keydensity in SERP and Indexing pages...

    thanks
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  3. B afraid.. B very afraid!
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    No... Keyword density as a measurement is meaningless within Google. Write to please/sell your audience. Use content and keywords that relate to one another and you will do fine. There is no magical percentage of keywords.
    ...Never mistake activity for achievement...

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    Originally Posted by SEO_AM
    No... Keyword density is meaningless within Google. Write to please/sell your audience.
    can u tell me in depth about it
    how come keyword density is not importance for Google ?
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    Originally Posted by jameswatt
    hi

    my question is how Google calculate SERP
    does Google gives importance to Keydensity in SERP and Indexing pages...

    thanks
    SEO AM is correct (always)...LOL!

    I would add that your content and authoritative references to your site will drive your rankings upward over time.
    "It is better to confess ignorance than provide it" - Homer Hickman

    Organic Lead Generation Specialist and other services by D. Clark Associates
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  9. SEO bull
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    Originally Posted by jameswatt
    can u tell me in depth about it
    how come keyword density is not importance for Google ?
    It is enough that your keywords appear on your page, you don't have to aditionaly push up more and more of them.
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    I dont think Google cares much about onpage seo anymore... Because what I've read is that Google dont like SEO right? So if they would base theire SERP on keyword density, ect it would've be the best optimizer who would have been #1 right? So Google lets the crowd decide who shuld be at the top with backlinks...
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    Originally Posted by jameswatt
    can u tell me in depth about it
    how come keyword density is not importance for Google ?
    hmmm... how come a page for seo isn't all that important to a searcher when the page only reads:

    SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization, SEO, search engine optimization... ETC.
    It's that what searchers want... SEO?
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    Originally Posted by fathom
    hmmm... how come a page for seo isn't all that important to a searcher when the page only reads:



    It's that what searchers want... SEO?
    Hey Fathom - which site is that? (I was looking for a good SEO site)

    Hey James,
    It's not important because it's too easy to manipulate amd because incoming link anchor text is a better indication of what your ite is about.
    Having said that - I would disagree that on-page SEO isn't important... If you have a site about SEO and a ton of incoming links which confirm that your site is about SEO you'll rank well for SEO - but SEO is a VERY competitive term so ranking well might mean you are at #150... not much traffic available there! BUT - if your page copy includes such phrases as "SEO seminar in springfield" you will get ranked for "SEO Springfield", SEO seminars etc etc... so on-page content & optimisation are important for attracting traffic for terms other than your main Keyword (which often amounts to more traffic anyway).
    In addition - poor optimisation could actually detract from your results.
    So whilst on-page optimisation is far less important (for Google) than it used to be, it IS still important imho.
    ClickyB
    "The quality of the visitor is more important than the volume..." (Egol 22nd Feb 2008)
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    On a side note.. we moved away from KW thinking in general and play in semantics and phrase based stuff these days...

    .. and of course I iz ageein with the 'death of KW density'
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    While I agree there is no magical keyword density that will help you rank better ... there is an upper limit to keyword stuffing that is tolerated.
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    thanks for your response

    u mean to say if i search xyz keyword in google and press enter than i will find some result based on that keyterms , the result should be relevant to search tersm right.... while fetching the data the Google algo do not look for Keyword density of search keyword inside the page......
    i think GAlgo check for relevancy of that keyterms and density than produce the result am i right....???
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    Not exactly...

    With Google for example you have technologies such as Latent Semantic Indexing (Analysis) and Phrase Based indexing and retrieval

    In a VERY simplistic understanding, they look for related terms and phrasings in the document with a predictive factor ( like one might find the term 'Ford' when the term 'Blue four by four pickup' is on the page. A document is then scored based on the number of matches it finds

    In short, instead of multiple usage of a keyword, it also looks at the relational score of the document to establish which one is likely the more valuable and thus return the proper document ording to a search query..

    I hope that made sense.... it is a simple as I could figure in limited space (and time.. 1am here,,, he he)

    Let me just get some stuff <--Dave scatters to the closet-->>

    Latent Semantic Indexing

    SNIPPET

    LSI or Latent Semantic Indexing enables the Search engine algorithms to relate to what a page is about outside of the defined search parameters.
    For example, a page about Ford Motor Company is likely to have terms such as ‘Mustang’, ‘Explorer ‘ or ‘transmission’. These terms are not ‘naturally’ related to automobiles ( a horse and adventurer respectively) but LSI ‘learns’ that they can be related to the core term ‘Ford Motor Company’. As SEO Book founder Aaron Wall put it, “LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant.” This illustrates the value of LSI to today’s search engines. He goes on to say “Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent. source”

    Utilizing LSI, the algorithm can place additional weighting to a search term based on the relevance of additional words/terms contained in the document, (web page in this case). A document that is lower in ‘relevance weighting’ or worse, has irrelevant correlating information within it, naturally now ranks lower. Starting to see the pattern here? Well so are they! Relevance patterns of terms, words and phrases.
    and Phrase Based Optimization

    SNIPPET

    The problem facing search engines is that the direct "Boolean" matching of query terms is known to have its limitations. One problem is that it doesn’t identify documents that do not have the query terms, but have related words. IT is a very tightly defined result. A search on "Florida Snakes" doesn’t return results related to local species, (Black Pine for example) Conversely it is likely to also retrieve and highly rank documents related to ‘Florida’ rather then the desired or intended query.

    Creating better clusters

    The answer is a methodology that uses phrases to index, search, rank, and create descriptions for websites. It looks to identify phrases that have frequent and/or distinguished/unique usage. Using this methodology phrases of four, five, or more terms, can be identified. To establish a ‘predictive measure’ the system can identify phrases that are related to one another. A prediction measure is used that relates the actual usage to an ‘expected usage’ of the two phrases. In essence, the more ‘expected’ related phrasings there are within a document, the higher the score will be.
    Now this can work for off page (link building ) as well when ordering link texts for freshness, using semantics and phrasing to still establish targets..yada yada...

    So it's the concepts that I try to understand, then the implications can be many over various aspects of the SEO process
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    I think what theGypsy is trying to say ...

    It does not matter how many times you repeat a keyword ---

    How well does it fit into the overall subject of the page ... and how does it appear on similar pages, about the same subject.

    Of course there is no real proof that LSI has been implemented by Google ... or ever will be in the future
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    Yuppers... says that right in the article actually .. it's a magical mystery world... I am inclined to lean in that direction myself though (eh)

    Comments on this post

    • rtchar agrees : Yeah ... but my eyes cross if it is more than 2 lines ...
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    Thanks for the above posts.

    This is what we are talking about when we say content relevance to any onpage keyword or content relevance on any page that has a keyword text anchored backlink. More and more the search engine world (Google in particular) is moving in this direction, i.e. get "relevant" backlinks to succede.
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