What is free-seo-help.org and how do I block it?

Free-seo-help.org


Learn what free-seo-help.org is, why free-seo-help.org is spamming you, and how to block unwanted referral traffic in Google Analytics.

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What is Free-seo-help.org?


Free-seo-help.org is a domain name used to promote Semalt.com’s online SEO services by use of referrer spam indexing. The free-seo-help.org domain name is used to spam your Google Analytics data with fake referral traffic in order to grab your attention and coax you to visit the website in your browser. It will appear as if someone visited your website from free-seo-help.org and landed on a web page on your site that does not exist such as /h/10016924.html; However, no one was actually referred to your website.

free-seo-help.org referral

If you visit free-seo-help.org you will be forwarded to http://seo2.mybioblend.com/?site=http://. This page contains a search field that asks you for your domain name. If you provide your domain name and click ‘START NOW’ you will be directed to https://semalt.com/rankings where Semalt tries to peddle you to purchase their shady marketing services. Semalt  has previously used the same spamming method with many other domain names.

free-seo-help.org website

Free-seo-help.org employs various blackhat methods to make it appear as if someone was referred to your website from the domain name. However, no visitor was actually referred to the website from the URL. It is simply a gimmick to persuade you to visit the URL in your browser so you can view Semalt services.

Website owners and other people who monitor Google Analytics data will notice real-time and historical referral traffic coming from free-seo-help.org mixed in with real analytical data. Most of the time the spam will make it appear as if someone was referred to your website multiple times in order to position the referral traffic data at the top of the accumulated list in your reports.

When a website owner or someone monitoring the data sees the large amount of referral traffic from free-seo-help.org they might be suspicious as to why someone is visiting their website from a  page on the free-seo-help.org website. The website uses this technique to dupe people into searching for the website on a search engine such as Google and visiting the website by typing it into the address bar in order to obtain potential customers.

Although this sort of traffic might sound innocent, referrer spam can actually ruin your website’s analytical data and make it difficult to understand your website’s exact traffic metrics. The traffic acquired from fake referrals can affect most of the data in your GA reports. For example, the fake referrals will appear to land on a single web page on your website and leave from the same website and this will create a 100% bounce rate. If your website is targeted by referrer spammers you may not be able to identify your website’s actual bounce rate unless you filter the traffic out.

Campaign Source Filter


A campaign source filter can be used to block all free-seo-help.org referral traffic in Google Analytics.

1. Open your Google Analytics account and go to the Admin tab > Click Filters on the right side in the VIEW section.

2. Click the + ADD FILTER button to create a new exclude filter.

3. Add free-seo-help.org or something you can easily remember as the Filter Name.

4. Select the Custom Filter Type.

5. In Filter Field, find and select Campaign Source in the list. In the Filter Pattern text box, add free-seo-help.org and click the blue Save button on the bottom of the webpage. To add multiple URLs to the same filter you can make a Filter Pattern similar to this with a | between each URL: Example.com | Example\.com | free-seo-help.org

Campaign Referral Path Filter


A campaign referral path filter can be used to block single webpages.

1. Open your Google Analytics account and go to the Admin tab > Click Filters on the right side in the VIEW section.

2. Click the + ADD FILTER button to create a new exclude filter.

3. Add free-seo-help.org or something you can easily remember as the Filter Name.

4. Select the Custom Filter Type.

5. In Filter Field, find and select Campaign Referral Path in the list. In the Filter Pattern text box, add a permalink from the referred URL and click the blue Save button on the bottom of the webpage

Language Settings Filter


Some spam may appear in your language settings as keywords, phrases, and searched terms. A language settings filter can be used to block language spam in Google Analytics.

1. Log in to your Google Analytics account and go to the Admin tab

2. In the “View” column select Filters and then click + Add Filter

3. Add a Filter Name: Language Spam (or something you can easily remember)

4. Go to: Filter Type > Custom > Exclude

5. Select Filter FieldLanguage settings

6. Add a Filter Pattern\s[^s]*\s|.{15,}|\.|,

7. Click on the blue text that says Verify this filter to see a preview table of how this filter will work in your account. You should only see language spam on the left side of the table: filter-verification-language-spam

8. After you verify the filter click the Save button on the bottom of the page

Sean Doyle

Sean is a distinguished tech author and entrepreneur with over 20 years of extensive experience in cybersecurity, privacy, malware, Google Analytics, online marketing, and various other tech domains. His expertise and contributions to the industry have been recognized in numerous esteemed publications. Sean is widely acclaimed for his sharp intellect and innovative insights, solidifying his reputation as a leading figure in the tech community. His work not only advances the field but also helps businesses and individuals navigate the complexities of the digital world.

4 Responses

  1. Anonymous says:

    Thank you for sharing this useful information. Just because of these spams I suddenly had spike in traffic and I was not able to find out as if what different did I do to boost traffic and it was all bogus. I have now blocked them. Thank You once again!

  2. Anonymous says:

    thanks, very helpful

  1. October 5, 2018

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