TechSEO Boost 2019: Research Competition

Mike King | @iPullRank | #TechSEOBoost
#TechSEOBoost | @CatalystSEM
THANK YOU TO THIS YEAR’S SPONSORS
Research Competition
MC: Mike King, iPullRank
Finalists: Vincent Terrasi, OnCrawl; Eric Enge, Perficient Digital & Tomek Rudzki, Onely

Mike King, iPullRank
TechSEO Boost 2019
Research Competition

Caption text goes here

So, yeah, I’m Mike King
{
"fullName": "Michael King",
"location": "New York, NY",
"locationBorn": "Philadelphia, PA",
"title": "Founder & Managing Director",
"organization": "iPullRank",
"skills":{
"rapper" : 100,
"full stack developer" : 80,
"dad" : 100,
"marketing": 100
},
"hashtag" : "#youngBlackAndGifted"
}

The Things We Are Really Good At
Machine
Learning
SEOContent
Strategy
Paid Media Measurement
&
Optimization
Marketing
Automation

Vincent Terrasi | @vincentterrasi | #TechSEOBoost
One of the things we love to do is work with
sophisticated SEO teams.

TechSEOBoost Is Exactly
What Our Space Needs!
A few years ago I wrote a little known blog
post entitled “The Technical SEO
Renaissance.” At the end I talked about how
we need to get back to testing, learning and
knowledge sharing.
That’s exactly what this research competition
represents.

We are honored and privileged to be
involved in research competition.

TechSEO Boost Research Finalists
Eric Enge
Data on How
Search Features
Impact CTR
Tomek Rudzki
Taking JavaScript
SEO to the Next
Level
Vincent Terrasi
Generating
Qualitative Content
in all Languages
Sponsored by

Eric Enge | @stonetemple | #TechSEOBoost
TechSEO Boost 2019
How Organic Search CTR
is Impacted by Google’s
Search Features

Monitored 2M Queries Daily for 30 Days
- 400,000 keywords each in 5 markets
- Tracked SERP features that were present
- Tracked Clickstream Data via Jumpshot
Finance Beauty Travel Retail Auto

Search Behavior by Device - As a percentage of all clicks

Thank You!
–
eric.enge@perficient.com
@stonetemple

Tomek Rudzki | @TomekRudzki | #TechSEOBoostTomek Rudzki | @TomekRudzki | #TechSEOBoost

Hello!
My name is Tomek and my research is quite
geeky... but it affects everyone - SEOs,
developers and business owners.
During the last couple of months, I have been
analyzing the most popular ecommerce
websites in the USA. And it turned out that
80% of them use JavaScript to
generate crucial content. The question
isn’t whether you have a JavaScript website.
The question is:
Is JavaScript stopping your
content from being indexed?

indexing JavaScript content
is never guaranteed!
My research concluded that
H&M, Sephora, Medium - all these websites
suffer from it. Below are the percentages of
unindexed JavaScript content:
25% 55% 50%
Let’s look at the story of Yoox.com. They are
a popular online brand similar to H&M with 14
million visitors every month. The problem with
Yoox is that 75% of their product pages
are unindexed because of JavaScript.

You might remember Google claiming that they
are fine with indexing JavaScript websites in
2014. It’s almost 2020 and businesses
are still losing a lot of money
because of this very issue. For years, people were neglecting JavaScript
SEO believing it doesn’t affect them: “It’s not for
me”, “I don’t have a JavaScript website”,“Google
is perfectly fine with rendering JavaScript”. Well,
you may suffer from JavaScript indexing issues
even if you have a Wordpress website.
If you use JavaScript to generate content, links
to similar products, comments - you have a
JavaScript website.

Based on my research, we built a tool that
shows how Google indexes JavaScript content.
It’s called TGIF – The Google
Indexing Forecast.
You can also use our toolset Onely.com/Tools
to see exactly which parts of your page are
generated by JavaScript. These tools are free
and my continued research means more are
coming.

My research shows two things:
You are using
a JavaScript website1
The chances are
your content
is not indexed2
These two facts alone change how we
should look at technical SEO in 2020.

Thank you!
tomek@onely.com

In All Languages
Generating Qualitative
Content

Objectives
Use only qualitative methods to improve
the quality of content created by humans
Extract the knowledge learnt by the Deep
Learning.

There are a lot of biases:
◦ Small Talk
◦ Idioms
◦ Local Named Entities
◦ Rarest Verbs
◦ Uncommon Tenses
◦ Gender rules

GPT-2
Recipe

Results & Quality
Evaluated subjectively by a native reader.
API pylanguagetool was used to quantifiably
confirm the quality of results and did not find
any errors in the generated text.
https://github.com/Findus23/pyLanguagetool

Further ?
Parameters Objectives Use Cases
top-k < 10
token < 10
High Performance
Very high qualitative content related
to your original training content
Anchors for Internal Linking
Variant of Title
Variant of Meta
top-k > 50
token > 400
Low Performance
Low qualitatiive content because the
model is weak, but the model
successfully extracts all concepts
that GPT-2 learnt about your dataset.
Guides to help you write, compared
to a query, with the stated purpose of
saving you time.

You can find my Google Colab Notebook
here for the French
https://colab.research.google.com/drive/13Lbk1TYmTjoQFO6qbw_f1TJgoD5ulJwV
Warning: it is just an example using limited
data.
NOW it is your turn.

Thank You
vincent@oncrawl.com

Thank You Judges!
Sponsored by
Michael King Russ Jones Clark Boyd Alexis Sanders Aleyda Solis
Dan Taylor Rhea Drysdale Geoff Kenyon Paul Shapiro David Iwanow

3rd Place Goes To…
Sponsored by
Eric Enge

2nd Place Goes To…
Sponsored by
Vincent Terrasi

1st Place & Grand Prize Goes To…
Sponsored by
Tomek Rudzki

Thanks for Viewing the Slideshare!
–
Watch the Recording: https://youtube.com/session-example
Or
Contact us today to discover how Catalyst can deliver unparalleled SEO
results for your business. https://www.catalystdigital.com/

TechSEO Boost 2019: Research Competition

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