go to video 5: "Brands, Models & People"

4. The comment method: the quality footprint

by Karl Adamsas,  Last updated 

There can be a lot of trial and error when building a responsive list for outreach and it might take you a few different strategies to find out where the gold is.

In video two we used two elements to create a search query for ScrapeBox: "The Keyword Footprint" and "The Relevance Footprint".

I'm going to show you how we can use another strategy to get a different results focusing specifically on the second element. This time we're going to swap out the relevance footprint with a quality footprint.

Now I've already shown you "The WordPress Method" of using a list of footprints common to WordPress blogs designed to scrape up small to medium size bloggers.

In video two we used "The SEMrush Method" for our keyword footprint and the WordPress method for our relevance footprint.

Instead of a relevance footprint, we're going to use a quality footprint this time.

We're going to call this strategy "The Comment Method" because we're specifically looking for pages with comments on them. So your scrape would consist of "a Keyword Footprint" and "The Comment Method".

comments on a page as an indication of quality

In our very first video we listed interaction with a blog as an indication of quality.

The fact that people are commenting on a piece of content, tells us that the blog has an audience who are engaged.

This blog is ranking for terms in Google and they have real traffic who are reading blog posts and sharing their opinions.

Fake blogs do not have this level of interaction. They might have fake comments, but these are very easy to spot when your virtual assistant does their final assessment of a blog.

Just grab a Notepad doc with a list of numbered comments.

"1 comment"
"2 comments"
"3 comments"
"4 comments"
"5 comments"
"6 comments"
"7 comments"
"8 comments"
"9 comments"
"10 comments"

"11 comments"
"12 comments"
"13 comments"
"14 comments"
"15 comments"
"16 comments"
"17 comments"
"18 comments"
"19 comments"
"20 comments"

"21 comments"
"22 comments"
"23 comments"
"24 comments"
"25 comments"
"26 comments"
"27 comments"
"28 comments"
"29 comments"
"30 comments"

"31 comments"
"32 comments"
"33 comments"
"34 comments"
"35 comments"
"36 comments"
"37 comments"
"38 comments"
"39 comments"
"40 comments"

I've gone up to 40 comments, but you can take this as far as you like. I've seen plenty of articles with over a hundred comments on them. It really depends on what niche you're working in.

Save this comment doc to your desktop and then import it into ScrapeBox along with your keyword list.

Depending on how many numbered comments you use and how big your keyword list is, you should end up with a massive list of URLs to clean up.

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