Following on from our posts about geo-targeting for SEO and keyword length I was doing a little more research into our keywords. I noticed for the first time that some of our top 50 keywords were single words like “dentist” or “braces”, so I took a look at where the users were who did these searches and where they landed on the site.
Searches for "Dentist" landing on RevaHealth.com
Looking at the numbers the traffic really isn’t that significant by itself. What is interesting though is what Google is doing. When a user searches for a generic keyword, i.e. one that doesn’t include any qualifier – location in our case, Google is determining where the user is and trying to serve relevant results based on this. Best of all for us, they seem to be doing quite a good job of it too!
We have spent a lot of time over the years making sure all our SEO elements (URL, page title, etc) include location information on the basis that it reflects the content of the page and that users include it in their searches. Now it seems that Google are using this information to determine the location relevancy of the content of our pages.
While the location specificity is quite coarse in the example above, only going down to a country level, it will be interesting to see if over the coming months the landing URLs change to counties or cities, i.e. a user in Dublin lands on our page about dentists in Dublin rather than dentists in Ireland.
Keyword Analysis Tools?
During the last month 87% the quarter of a million keywords used to find RevaHealth.com were unique. The good thing about this is that it means our long tail SEO is working well. The bad news is that it makes it harder to get an overall picture of which keyword phrases or broad match pairs and triplets are doing particularly well.
If you have any recommendations for good tools to analyse the keyword data we have I’d love to hear about them. Just leave a comment below.
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