SEOClerks

I will create 300 google map citations for your local business SEO for $3

Level 1
Attention: The owner of this service has not logged into SEOClerks for more than 30 days. It is highly recommend that you contact them before ordering this service. Last Login: 1782 days ago

I will create 300 google map citations for your local business SEO

Google map citations are the best way to achieve this goal.

I will boost your business local SEO rankings with the help of these citations.

You will find your business in one of the top business in SEO.

Why Me ?

100% Manual work

Safe for Your Business

100% Nap Citations.

Low Price

Fast Delivery

24/7 Support Time

100% Satisfaction Guarantee

Requirements :

Business Name

Business Address

Website URL

Phone Number

Business Description

Keyword

Category

Business Hours


Tags

googlemap locallisting localseo googleplace mappoint

0.0

0 reviews

Rating breakdown


Extras
1200 Go ogle point map any Country 3 days $12
1600 Go ogle point map any Country 4 days $15
2200 Go ogle point map any Country 5 days $20
1000 Go ogle point map any Country 3 days $10
500 google point map any country 2 days $5

Other services by workingseoboy

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Process Time: 0.034427165985107

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SELECT * FROM pixelclerks.ratings WHERE USERID='991396' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='991396' AND PID != 0

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SELECT * FROM wordclerks.ratings WHERE USERID='991396' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='991396' AND PID != 0

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select * from categories_software order by name asc1select * from categories_software order by name asc

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/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories()

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/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

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SELECT * FROM seoclerks.members WHERE USERID=? 1SELECT usergroup FROM seoclerks.members WHERE USERID=?

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Expensive SQL

Tuning the following SQL could reduce the server load substantially
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Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.1832301SELECT COUNT(A.wantid) AS total FROM wanttobuy as A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID 0.1832300.183230