LSI (Latent Sementic Indexing) Archives

Google Wonder Wheel

Besides using the LSI feature on your Micro Niche Finder, you may find it interesting to check out Google’s Wonder Wheel. Making its debut earlier this year, Google’s Wonder Wheel is a visual and graphical way to examine niches (or search terms and keywords in a broader sense) and see related topics that stem from the original term.

When entering your niche (for our example, let’s make it ‘hamster cages’) into Google, click the search button. A list of results will come up, as is usual, but if you look carefully in the blue line above your first query result you will see a link that says “show options”. Click on that and the left side of your screen will reveal a navigation board. Under the topic “standard view” click on “Wonder Wheel” .

You should see an image that looks like this:

Google Wonder Wheel

Google Wonder Wheel

 

As you can see, the center of the wheel is our original niche “hamster cages”. The spokes of the wheel represent related offshoots that are relevant to our topic.

Now, if you were to click on the smaller circle titled “Teddy Bear Hamster Cage”, a new wheel is derived from the old wheel. Your image should look akin to this:

Google Wonder Wheel

Google Wonder Wheel

 

Teddy Bear Hamster Cage, which is still related to your original niche Hamster Cages, now shows niche topics related to it. This chain can go on and on, and each topic you click on begets another topic with its own micro niches. While looking at this second wheel, the term “teddy bear hamster food” may just grab your attention – check its statistics using Micro Niche Finder (ex: strength of competition, OCI, etc.) and voila! You may have found another niche; perhaps you click on “teddy bear hamster food”, and see what sort of wheel develops from that term.

But even if you don’t find another niche this way, it certainly can help you find new ideas for blogs, articles, emails, tweets, etc.  Just enter your idea or topic in the search, and examine the ideas the Wonder Wheel brings. Ideally you would want to write about a topic that isn’t completely saturated, and the Wonder Wheel does not provide stats. If you see a term that you want to investigate further, it doesn’t hurt to check it on your Micro Niche Finder.

This method is called Latent Semantic Indexing. Click on the previous link to read an LSI-centric blog post to learn more about how it functions on Micro Niche Finder.  Using the LSI feature on your Micro Niche Finder is so important to producing high quality writings, and the Google Wonder Wheel uses the same concept in a visually compelling way.

Digg This
Reddit This
Stumble Now!
Buzz This
Vote on DZone
Share on Facebook
Bookmark this on Delicious
Kick It on DotNetKicks.com
Shout it
Share on LinkedIn
Bookmark this on Technorati
Post on Twitter
Google Buzz (aka. Google Reader)

Latent Semantic Indexing Feature

When writing an article for your niche, it’s important to comprehend the concept of “latent semantic indexing”. Understanding LSI is a great way to get your article or product ranked higher than your competition, and Micro Niche Finder offers a LSI feature to help you in this endeavor.

But first, a bit more explaining of LSI is necessary. When Google indexes your site, it likes to make sure that you stay on topic. The method by which to make sure that your article or website is of worth is called Latent Semantic Indexing. If Google analyzes your site with LSI and finds that you abandon your subject or veer severely off course, it may label your website as spam.

LSI, as far as we can tell, is very important in the mysterious Google algorithm. You can use the LSI to your advantage by describing the topic of your article in multiple ways (make sure not to partake in keyword stuffing, though). By giving more information with relevant keywords to your main object/subject, your article will achieve higher Google rankings.

To use the LSI feature, search a potential niche (I chose “bird cage” for this example). When you find the term of your choosing, click on that term so that a narrow purple screen appears alongside it. Click on the “LSI Search” option.

LSI

LSI

Once you click on the LSI search feature, a new list of phrases will appear. All of these phrases are related to your original main point. Run a normal search on these new terms (check the Exact Phrase Count, Search Count, OCI, SOC, and Ad Cost). Although there isn’t a “set” amount, we recommend finding five or six good phrases from this list that have good data across the board and that can be coherently incorporated into your article. 

From my example list, I decided to choose the phrases “bird cage accessories”, “flight cages”, “Cockatiel cage”, “bird cage litter”, and “Plexiglas bird cages” into my article. I will use these terms in a natural manner, so that these phrases enhance the main subject of the article (bird cages). Google will see my article is on topic and very informative via latent semantic indexing and will rank me accordingly.

Furthermore, by using LSI on Micro Niche Finder, the LSI keywords will act as keywords onto themselves when searched. For example, even though my article is about bird cages in general, if someone searches “bird cage litter” my article will be ranked highly for that particular search term. By using LSI feature, you will be giving your article more keywords and thus a greater chance of being found.

Digg This
Reddit This
Stumble Now!
Buzz This
Vote on DZone
Share on Facebook
Bookmark this on Delicious
Kick It on DotNetKicks.com
Shout it
Share on LinkedIn
Bookmark this on Technorati
Post on Twitter
Google Buzz (aka. Google Reader)