Has this ever happened to you?
You send some links to your money site and wait for the result. One week goes by… nothing. Two weeks… still flatline. An entire month goes by and nothing has changed.
Or even worse: after you send the links, you see the rankings actually drop.
If you’ve ever been in this situation, you’re reading the right article. I’m here to shed light on a commonly misinterpreted concept that can potentially help you understand why you’re not getting positive results from your backlinking efforts.
This article is not about buying and setting up the right PBNs. I’m assuming that you’ve already doing that right and that you’re testing your PBNs before you’re adding them to your network.
This article is about revealing a blind spot on the topic of optimization. I’ll be discussing various different scenarios, what the problem is in each, and how to deal with it.
Scenario 1 – Onsite Optimization Issue
Symptom – Flatline rankings after links are sent
I use this analogy quite frequently in my consulting sessions. Winning in SEO is like winning a car race. Your onsite SEO quality determines the quality of your car. The backlinks are the gas you put in it. If you build a shit car, its simply not going to go anywhere, no matter how much premium gas you put in.
For sites with low-quality or over-optimized onsite SEO, the impact you see from backlinks is going to minimal, if any.
This is a very typical result that you can expect after you send links to an over-optimized money site:
Fixing onsite issues is easy. Unlike offsite SEO, the rules of onsite optimization are straightforward. You just need to know where to find the correct rules.
And it just so happens you can find them right here…
The great part about onsite optimization is that the effect shows quickly, typically in a few weeks or less.
I know it sounds like hocus pocus. Why would onsite optimization prevent offsite efforts from taking effect? Because Google says so. I see it all the time…
Scenario 2 –Anchor Text Optimization Issue
Symptom – Rankings drop after links are placed.
In this situation, the anchor text distribution for the page you’re trying to rank is over or under-optimized. You’ve likely sent an anchor that pushes your anchor text distribution even further in the wrong direction. So even though the link has sent more link juice, the page is less optimized.
You need to find your niche-specific target anchor text ratio. This has nothing to do with using your intuition on what you think might look natural.
Whenever you perform a search, Google basically “shows you their hand” and reveals exactly what anchor text distribution they want to see for that search. You’ll just want to take the average of the top-rankers in the niche and start working towards the same.
How to determine the niche-specific target anchor text distribution: click here
Just like with the other scenario, I see this one a lot too…
Scenario 3 – The Random Documents Algorithm (You’re being punked)
Symptom – Rankings drop after links are placed
In 2014, big G released the Random Documents Algorithm as a way to figure out who is doing SERP manipulation. Basically to figure out who you are. Yes, YOU.
In simple terms, this is how the algorithm functions. You do something that should cause an improvement in ranking. Instead of giving you a positive change, you’re given a negative movement in the SERPs. For the next 20 days, they’re monitoring to see if you do anything fishy to “recover”. Namely, things that only SEOs would do, such as: change anchors, delete links, etc. If you do get caught, this short term negative effect becomes more of a long term one.
How to fix it
Be patient and don’t do anything for 20 days. If you suspect that some action you took caused your rankings to decrease, don’t make a decision for 20 days. Set a calendar appointment and forget about it.
Keep doing everything as you usually do. Maintain the same link velocity, continue to send social signals, etc. Just don’t make any moves around that particular action that you think caused the drop.
If it truly was the Random Documents Algorithm, and you’ve been a good boy, you’ll see something like this: