Author: Michal Suski
Content optimization is a complex task, which, due to lack of tools, most of the
times is based on gut feeling and experience. We introduce Surfer which opens
the gate to optimization solely based on data and facts.
How to use
To start, just type your keyword in the main input of the user page and hit
enter. You can choose search location by clicking on the flag or country –
results will accurately match real search from given location. If you can’t see
your location, don’t worry, just drop us an email on
[email protected] and we will add it
The analysis takes around 30 seconds to complete. Just click on it when we let
you know it’s ready to open the analysis view. You will be able to compare over
a hundred ranking factors between highest ranking competitors, including:
- Keyword density
- Website speed, including TTFB (Time To First Byte)
- Meta tags
- Images quantity
The analysis view
The first impression may be a bit overwhelming, so let me explain what’s going
Central section of the interface is occupied by the chart. It shows the ranking
position on X and factor value on Y axis.
Below the chart you will find a list of URLs that were analyzed. Next to each
URL you can see two icons: compare and exclude from chart.
Left side of the interface contains list of factors. They are grouped in three
- structure – set of most important html tags,
- quality – load time, TTFB and other related factors,
- media embedded on webpage (so far we have just images, but we will expand this
list in future).
Top section shows factors visible on the chart with corresponding color label.
You can dismiss factors from the list or keep it at hand.
You can also notice a red/yellow/green indicator next to each factor, which
indicates correlation strength.
Better correlation means stronger relation between the factor and position in
SERP. But think of it as a suggestion rather than a definitive answer - it’s
just one of many indicators which factors you might want pay attention to.
If you want to check out how is your online page doing, you can compare it with
competitors. Find your page on search results list, or if it’s not there, type
address in custom URL input. Then just click the chart icon, select a factor and
you are ready to go. This setup is perfect for finding missing keywords or over
Please keep in mind that for now, comparison is enabled for single factor
only. Lifting this limitation is on our roadmap.
As you can see on the following chart, some additional partial matched keywords
on currently selected site could really help here and make the page rank higher.
This kind of insight allows to quickly tweak up any available factor.
First input can be used to filter URL addresses with any sentence. It will
highlight pages on the chart and filter URL list underneath. One example of
usage is determining how many competitors use keyword in URL. It also allows to
quickly find your website if you need to compare it.
Averages switch toggles between averaged and detailed chart. By default it
groups results by tens, but you can change this number to anything you like.
Outside links switch changes the way we calculate factors. When it’s turned on,
we don’t account any words that is placed directly or indirectly in
It’s useful for pages with many
<a> tags, like e-commerce. It’s enabled by
default since we believe Google penalizes content inside anchors, but mileage
may vary on different searches.
Analysis by example
Let me walk you through complete analysis workflow. I'll show you a use case
where I created subpage content based on signals from the app.
I was working on a brand new subpage, so it was crucial how many words should I
use, how to stuff content without over-optimization and how to build optimal
I started by determining optimal structure for the content.
To do that, I checked average factor values from top 10 results. I decided go
with words count, and number of headings, paragraphs and images basing on my
I wrote down the numbers and created the structure which matched those closely.
Once the structure is set, it needs to be filled up with content. Thanks to
Surfer it was very easy to figure out how many exact and partial matching
keywords should I use.
After a while of browsing the chart and going through many different factors, I
found out that for this particular search phrase, using more partial matching
keywords will probably rank better than stuffing the website with exact matching
You could just check keywords count within body, but I decided to dig a bit
deeper. Instead of having random keyword placement, I looked up the elements
which should contain them and determined optimal keyword density. I checked how
many partial matching keywords do pages have in meta title and headings. I used
partial matching keywords ratio in paragraphs factor to check what's the correct
Results of optimization
I was very pleased with the results. Optimization based on very commercial
keyword ranked on 35th position average just after indexing it and ended around
10th with a lot of traffic.
Side effect of my actions was bringing up 271 visible keywords, reported by
Google Search Console.
Page was created two weeks before Black Friday and ranked up rapidly. These
results were possible to achieve only with help of Surfer. Of course I could
prepare such a comparison by hand using Excel, but it would take ages to