Local Search Optimaization

[rankanalysis]

How get index in local search of Google. Am worked out with my business part in google but not yet am not listed. May I know the reason

 

[ewebac]

There are several companies who get listed in Google Maps, But for getting rank in search, first you need to get rank for your targeted keywords in Google and then once you will be rank for a longer time then google will give you a preference and your website will be visible on google.

Also make sure you have linked you Google+ page with your website.

 

[sadianisar]

Enlist your website in Local Business Listings. Also use Google+ for this purpose.

 

[ardmoreorth]

This contains choosing precise groups for your company. Search engines will give you information on where your company may fit and you want to pick the ones that explain your company best.

 

[bestpolesaw]

This contains choosing precise groups for your company. Search engines will give you information on where your company may fit and you want to pick the ones that explain your company best.

Yes i am agree with ardmoreorth.

 

[Broadanderson]

You can target local places in SEO by submitting local business listing sites as well as you can implement the local places in meta's and where ever keyword presents.

 

[Luis Harris]

keyword presents

 

[chinomoreno]

Your site might be indexed already, you can check it by doing this on google site:yoursite.com
If the returned result was your site then it has been indexed. If not then there might be a problem you need to check.
I think what you are trying to say is that your site hasn't rank yet on the keyword you are pursuing for.

 

[propertyboulevard]

Local search optimization is really very nice way to promote any business quickly and local area.

 

[roycareyou]

, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions. Local search algorithms move from solution to solution in the space of candidate solutions (the search space) by applying local changes, until a solution deemed optimal is found or a time bound is elapsed.