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Everyone here is likely trying to increase their rankings by building backlinks, but not everyone understands what pinging your backlinks can do, and that's why I'm going to be talking about websites like PingFarm and what they do to help your website.
You can't just build a billion backlinks and think they're all going to get indexed, because they won't, and what's worse is that most of those links won't even be found unless you use a website like PingFarm.com to bring the search engine spiders in to see what is new on the page. It's sad when you do a bunch of work in order to build the best backlinks you can, then they never get found, and you think your time was wasted. You can fix that by simply adding your URLs into PingFarm and running them through the system to essentially yell at the search engines and let them know dinner is ready lol 
Not all backlinks will be indexed
I've had hundreds of clients complain to me about their backlinks not showing up in checkers after I finished the work. They even went as far as filing complaints against me through PayPal and getting their money back since PayPal doesn't really protect you if you sell a digital service.
Not all of your backlinks will show up in these free backlink checkers, they won't even show up all the time in the paid ones, because those checkers will only show the backlinks that have been indexed. You can use PingFarm to help increase your indexing rate, but if your backlinks are low-quality garbage built with outdated software, you're not going to get indexed regardless.
Focus on high-quality backlinks, ping them, watch them get indexed quicker than usual.
Your backlinks will likely have been seen
Even if your backlinks aren't getting indexed, at least they're getting seen by the search engines after you ping them. The search engine spiders will come to the link, browse around the page that was pinged, and see all the links that are there. Your links will have been seen, but that doesn't mean they will have been indexed, because it all boils down to what is on the page and does it provide value to anyone searching on the engines you're trying to rank on.
If you're building 1,000,000 profile backlinks and using your main keyword "Dog Training" you probably won't see any of those links get indexed. This is because someone who is looking for a dog training class or manual doesn't want to land on your profile with a backlink to another website, and that's why your backlink hasn't been indexed in the SERPs.
Building 1,000,000 new backlinks aimed at your homepage isn't good
I actually sold a big backlink package in the past and had a warning on the page saying something along the lines of "This package will hurt your website if we build these links to just one of your pages. This package is best to be spread across thousands of 2nd and 3rd tier backlinks to help boost your rankings!!!" but I would still get people buying it for their homepages and giving me 1 keyword, then complaining later when the work actually hurt their rankings. I would always email them and voice my concerns, but they still wanted the work to be done and I'm not here to argue lol 
You're essentially just ringing the search engines dinner bell
When you put a list of URLs into PingFarm, a mass ping site, you're essentially ringing a dinner bell for all the search engine spiders when the process is finished. They will come to the URLs that you've pinged, see what you have for dinner, then bring some back to the search engines so they can eat as well lol 
Ok, they're not actually eating your backlinks, but hopefully, you get the image I'm trying to convey through text. You're telling them you have new pages for them to check out and they will gladly come to do it since they're bots and programmed to do so, and you will rank higher depending on what type of quality links you've built 
In conclusion
Using a mass ping site like PingFarm isn't something new to the SEO world. Pinging your backlinks have been around since blogs were introduced, and some blogs even do this automatically, which is why mass ping sites were invented
These websites help you get your backlinks seen, but not always indexed, and this will help you get a boost in the SERPs if it's done right 
Remember to follow me!
https://www.seoclerks.com/user/TommyCarey
Thanks!
Tommy Carey

A lot of new webmasters think "more backlinks are better for rankings" but that simply isn't true, as you already know, because those massive amounts of backlinks are likely low-quality links that won't do much in terms of good rankings. In fact, they will probably have to start a new website after they build all these low-quality links because they don't know how to use the disavow tool lol
That's true, there isn't a guide out there that is given to new webmasters to tell them what to focus on in the beginning. This guide would probably start off with their web design and quickly be followed with SEO, and in there it would tell them to not build 1,000,000 low-quality backlinks lol :D
I use to build millions of links in the past when it actually worked, but even then I would never build them directly to my own pages. I would build them to my tier 1 links that I could easily delete if the links were passing some bad juice, but not many people think like that :( A lot of new webmasters think "more backlinks are better for rankings" but that simply isn't true, as you already know, because those massive amounts of backlinks are likely low-quality links that won't do much in terms of good rankings. In fact, they will probably have to start a new website after they build all these low-quality links because they don't know how to use the disavow tool lol :D
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Pingoat is a service that pings or notifies a number of services that keep track of weblogs and publish them. By pinging, you let the services know that your blog has been updated and hence, they crawl and index your site, publishing your blog contents, thus increasing your blog's popularity.
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| Match | Count | SQL | Script |
| SELECT * FROM `questions` as q JOIN categories_faq as c ON q.catid=c.CATID WHERE (q.status=1 OR (q.status=2 AND userid='') ) AND q.quesid='26700' | 1 | SELECT q.*, c.seo as CatSEO, c.name as CatName, c.parentid
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| SELECT * FROM seoclerks.members WHERE USERID='19821' | 1 | SELECT * FROM seoclerks.members WHERE USERID='19821' | /opt/clerks-staging/docroot/include/functions/includes/member.php 445 GetAllUserDetails() () |
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| SELECT * FROM ratings_faqanswers as r, seoclerks.members as m WHERE r.USERID=m.USERID AND r.upvote=1 AND r.PID=159096 LIMIT 5 | 1 | SELECT m.username FROM
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| SELECT * FROM ratings_faqanswers as r, seoclerks.members as m WHERE r.USERID=m.USERID AND r.upvote=1 AND r.PID=190344 LIMIT 5 | 1 | SELECT m.username FROM
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LIMIT 5 | /opt/clerks-staging/docroot/include/functions/main.php 17159 GetVoters() () |
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| SELECT * FROM questions WHERE quesid!='26700' AND status='1' AND (question like '%Understanding mass ping site PingFarm.com%' OR question like '%Understanding%' OR question like '%mass%' OR question like '%ping%' OR question like '%site%' OR question like '%PingFarm.com%') -- ORDER BY RAND() LIMIT 15 | 1 | SELECT quesid, question, seo, userid
FROM questions
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-- ORDER BY RAND()
LIMIT 15 | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() () |
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| SELECT * FROM members_ledger WHERE script='/opt/clerks-staging/docroot/viewfaq.php' AND querystring LIKE '%id=26700%' AND added>=UNIX_TIMESTAMP(NOW())-1200 GROUP BY USERID | 1 | SELECT USERID, username FROM members_ledger
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AND querystring LIKE '%id=26700%'
AND added>=UNIX_TIMESTAMP(NOW())-1200
GROUP BY USERID
| /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() () |
| SELECT * FROM categories | 1 | SELECT * FROM categories | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache() |
| select * from categories_software order by name asc | 1 | select * from categories_software order by name asc | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetSoftwareCategories() |
| select * from categories_wanttobuy order by name asc | 1 | select * from categories_wanttobuy order by name asc | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories() |
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| SELECT * FROM seoclerks.members WHERE USERID='19821.png' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='19821.png' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='600657.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='600657.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='589438.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='589438.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='746255.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='746255.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='596028.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='596028.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='667072.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='667072.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='719932.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='719932.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| SELECT * FROM seoclerks.members WHERE USERID='711223.jpg' | 1 | SELECT profilepicture FROM seoclerks.members WHERE USERID='711223.jpg' | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() getUserProfileImage() |
| select * from categories_faq order by name asc | 1 | select * from categories_faq order by name asc | /opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetFaqCategories() |
| count(*) | sql1 | error_msg |
|---|
| Load | Count | SQL | Max | Min |
| Avg Time | Count | SQL | Max | Min |
| 0.095807 | 1 | SELECT * FROM members WHERE show_freelancer = 1 AND status = 1 AND total_recommendations > 0 AND (skills LIKE '%Narration%') ORDER BY total_recommendations desc LIMIT 0,40 | 0.095807 | 0.095807 |
Martinsx1
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