Autocomplete is very useful for a number of reasons, but it can be problematic when Google’s algorithms start to populate with false or damaging information.
For example, some sites specifically optimize content to rank highly for phrases such as:
[person’s name] scam
[person’s name] cheater
[person’s name] ripoff
Google’s algorithm ranks autocomplete terms in order of how frequently they are searched. An autocomplete term that is interesting (like “scam” or “affair”) may not be the user’s original query, but still might be clicked on out of curiosity. Google records the click and over time the autocomplete term increases in popularity.
When you enter your name into the Google search box, you will begin to see suggestions that help you find what you want faster. If you’ve got an unwanted or controversial suggestion appearing, you know that this can create problems for you personally and for your business.
The real problem with these unwanted suggestions is they influence consumer opinion. Someone may be Googling you just to find out where you went to school or where your business is located, but when they see the negative suggestions, they click on them out of curiousity. And this leads them right to the negative content you don’t want them to see.
You might not even know how much business you are losing because some customers may never contact you as a result of seeing the negative suggestions. If you’re an individual or entrepreneur, you might find yourself constantly having to explain yourself.
You work hard to build your reputation and one or two negative suggestions in Google Autocomplete can strip that away. We push out negative suggestions, so you don’t have to worry about them anymore.
Use the form on this page to get a no nonsense, confidential quote or continue reading to learn more about our methodology and why we’ve become one of the most trusted firms at cleaning up this nagging online reputation management problem.
Our team of search engine experts utilize a strategy to change search results that appear for autosuggested terms while simultaneously adding new, more positive AutoSuggest keywords. In a few weeks, our team not only changes the automatically suggested terms, but also updates search results for problematic terms. This way, even if users click on unfavorable search terms, they find positive, accurate information about your company.
The basic idea to remove auto complete is to use the same techniques as in ORM by manipulating the result with other positive results. Some of the strategy which can be used to remove auto complete is by changing the demand for specific search phrases about your company, brand, name and keywords and removing the negative contents which keep the auto complete alive in search results and filling the demand with new search phrases. You can also take legal action against Google in a civilized way by getting it removed if you find that your company is being defamed through auto complete. Matching your prospective phrases with corresponding contents is another way of removing auto complete
The first thing to implement in How to remove Google auto complete suggestions is to identify if there is any auto complete bias in search engines and then analyze the data separately and prepare a proper strategy to remove it. You have to prepare good contents to support the new phrases when you launch auto complete manipulation campaign so that Google gives these names next to your name in search results. Crowd sourcing is the best method to manipulate Google auto complete.
Using mechanical Turk to get thousands of people across the world to do search on different positive phrases in seconds is the fastest and the most effective way to remove negative auto suggest contents. Since Google tabulate the frequency of each and every phrase, this method is considered as the best strategy to manipulate auto suggestions.
A lot of reputation management firms create a lot of content in an effort to change Google autocomplete. We don’t. In our experience, search activity (done correctly) always trumps content as the most important factor that influences the suggestions we see in the search box.
Frankly, this is a big reason why we’re more affordable than corporate reputation management firms – they invest a lot of money into content and in most cases it’s not needed and doesn’t help.
With regard to search activity, most ORM firms do it incorrectly. They create search activity using proxies or they hire people on crowdsource sites. These methods are both easy to implement and they used to work, but they’re far less reliable than they used to be.