Fixing Google “Searches Related To”

We are currently running a BETA test program to try to fix Google Related Searches.

View pricing for Related Searches or read below to learn more.

What Is Google “Searches Related To”?

sample related searches with copy

Google’s “Searches Related To” are the suggestions you see at the bottom of the page of search results. These suggestions are different than Google Autocomplete, which are the suggestions that occur in the search box as you type.

We’re certain that the Related Searches algorithm is different than the algorithm for Autocomplete.

Unlike Autocomplete, which is primarily based on random search activity, Related Searches is influenced by sequentially searching terms one after the other. This is what signals Google that they are related.

In our testing, we have seen that if we can get enough sequential searches performed in batches by enough different people, the suggestions in Google’s “Searches Related To” will change.

At present, we offer two options for trying to fix Google Related Searches – a low cost BETA Program and a higher cost Custom Program. Neither program is guaranteed to work, as Google is constantly updating it’s algorithm.

Two Services To Try To Fix Your Google Related Searches

#1 BETA Program (Affordable)

We are BETA testing a new, affordable method for fixing Google Related Searches.

With this BETA test, you DO NOT have control over the keywords that will appear. We’ve set this up to be affordable. If you want control over what keywords appear, look at our customized solution.

If you’d like to be included in the test, we charge a minimal monthly fee to help cover our hard costs, plus a bonus if we are successful.

Use our contact form to request a quote.

Read the 3 steps below to understand our process and how it might help your business.

Step #1: Client Has Problem With Their Google “Searches Related To”

sample related searches

Client “Your company” contacts us because they have negative “searches related to” at the bottom of their Google search results.

In the example above, both “fraud” and “lawsuit” are appearing for searches related to the keyword: Your company.

Step #2: Client Joins Our BETA Google “Searches Related To” Program

sample list of keywordsClient “Your company” is added to our master list of keywords.

This master list consists of people’s names, business names, and other keywords.

Some keywords are clients and some are randomly selected neutral phrases. There are no “negative” terms on this master list.

At left is a hypothetical example of what our master list looks like.

To be included on this list as part of the BETA program, the client pays us a small monthly fee to help cover our hard costs. A bonus is due if/when we are able to push out your unwanted related searches as pictured in step 1.

Step #3: Monthly Distribution Of Random Batch Lists To Our Team

sample list of 3 random lists of related terms

We create hundreds of random batch lists like the three pictured above.

Each list contains a subset of approximately 10 terms pulled at random from the master list shown in step 2. The order of the terms is also randomized, so as not to leave a footprint Google can detect.

Each person on our team is sent a unique list to search.

They are asked to search all 10 terms in one sitting as a “batch.” This is important because this is what signals to Google that the keywords are “related.”

We send approximately 150+ lists each month to our team of real  people who are spread out all over the United States.

The goal is to get each keyword from the master list searched at least 100 times per month. For most clients, this volume of search activity is enough to push out negative related searches you don’t want to see.

Month after month, we send out these mashed up “batches” of keywords to our team members. No one receives the same list twice. Since we are always adding and dropping people from our team, this ensures a high level of diversity and randomness, which is key in signaling Google’s algorithm that all of the terms from our master list are related.

When the algorithm picks up on the signal, the “searches related to” you see at the bottom of Google search results for your main keyword are changed. It takes several months (plan on at least 6 months) of search activity for most clients to begin seeing results.

Projected Before & After Results

before and after related searches BETA program done

Here, you can see what your results might look like at the completion of your campaign.

Notice that none of the related searches contain Your company, but that all terms are innocuous. The two negative related searches, “Your company fraud” and “Your company lawsuit” are gone. That’s the goal – to get rid of the negatives, so potential customers never find them or ask you about them again.

#2 Custom Program (Expensive)

Above all else, the most common question we get is: Why Can’t We Get Searches Related To Include Our Company?

We’ve been testing different methods for fixing Google’s “Searches Related To” for years. We’ve had inconsistent results. To be honest, most of the times we’ve gotten a fix, it has felt like a fluke. Other times, companies have paid us thousands of dollars to get no results at all.

We’ve been searching for a way to reliably fix this problem without it costing an arm and leg and that’s why we’ve developed the BETA program described above.

We do offer a Custom Program if you want to completely control all of the related searches for your keyword, but the costs are much higher.

In the custom program, we create a customized list of 15 positive related search terms for your company’s keyword and have them batch searched as described in the BETA program. The most inexpensive custom program option includes each of your 15 terms being searched 100 times as subset batches by 150 people.

FAQ

Are results guaranteed?

No. Google is always changing it’s algorithm; we have no control over that.

Can you push out a particular term?

No. It is impossible to predict which terms Google will put in Searches Related To your keyword.

Who does the batch searches?

We have a team of over 200 people in the United States that we pay to perform searches. These are real people and we’ve verified their IP address as US.

Can’t I just put my search terms on a crowd source site?

Sure, you can. But it won’t work. And any reputation management firm trying to manipulate Google Related Searches using crowd source sites will fail 90% of the time. These sites leave a footprint Google can detect. For your best chance of results, hire us.

Why is the BETA Program so inexpensive?

Because we are testing it, so the fees we charge cover our costs. We think it will work, but until we get enough data, we won’t know.

We encourage you to shop around to other online reputation management firms and see what they charge to fix problems with Google Related Searches. If they even offer it as a service, I bet you’ll be looking at fees of several thousand dollars or more. If this BETA fix works, we’ll be able to fix it for anyone affordably.

Why is the Custom Program so expensive?

Because it takes an awful lot of management and manpower to carryout the Custom Program.

How long does it take to get results?

We usually start seeing things change after 2-3 months, but to change all Related Searches, I’m predicting it will take 6-12 months. So, get started now.

Can you fix it faster?

No. If we could, we would offer it as a service.

Are you an expert in fixing Related Searches?

Yes. Even though we aren’t successful all the time, I challenge you to find anyone in the world who has studied and changed Related Searches more than we have.

The key to our success in fixing Google Autocomplete problems has been the development of our private team of real people located all over the United States. We do not use crowdsource sites, proxies, or BOTs to perform searches and so our search activity appears natural to Google.

We use the same team of people to perform the batched searches for these programs.

How do I get started?

Fill out the contact form on this page.