How to find bad backlinks.

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Step 3: Measure anchor text value.
Now here’s a quick trick where we can take advantage of Moz Keyword Explorer’s keyword lists to find anchor text that appears to be manipulated. First, we want to remove some external anchor text that we know for sure, like URLs with anchor text. This step isn’t entirely necessary, but it will save you some credits in Moz Keyword Explorer, so it might be worth it.


After removing your external anchor text, we'll simply copy and paste our anchor text into a new keyword list for Keyword Explorer.

How to find bad backlinks.
By putting anchor text into Keyword bangladesh number data , we will be able to sort anchor text by search volume. It is not very common for anchor text to have high search volume, but when webmasters try to manipulate search results, they often use the keyword they want to rank for in the anchor text. This way, we can use the search volume of the anchor text as a proxy for manipulated anchor text. In fact, while working with Remove'em before joining Moz , we discovered that anchor text was the most predictive factor in link penalties for manipulated links.

Step 4: Merge, Filter, Sort, and Model
Now we will merge the data (backlinks export and keyword list export) to finally get this list of backlinks. Let's start with the backlink export. We will open it in Excel and then remove the duplicate domain-anchor text pairs.

I'll start by showing you a quick trick for extracting domains from a long list of URLs. I copied the list of URLs from the first column to the last column in Excel, and then chose Data > Text to Columns > Delimiter > Other > /. This will split the URL into different columns wherever there is a slash, leaving you with a fourth new column just for the domain names.