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Mark Osborne - Brighton SEO April 2019 The Seedy Underbelly of Keyword Research And Search Intent
3.
What Dodgy Looking People Do I Have To Work With?
4.
Why is this talk all about
the “seedy underbelly”?
5.
1. Why am I still looking in the
same unreliable sources for
keyword data?
2. There must be ways to be
better aligned to how users
are actually searching and
how the main man Mr
Google ranks websites?
53.
You can use
the sentiment
section for full
page reviews
to go in depth,
although the
best way to use
it is...
54.
For featured snippets
As it shines a light on
why Google has
chosen one
You can use it to
compare your
suggestions against
the competing one
55.
Syntax is also great for featured snippets, as
it shows how Google is understanding the
relationships between words
56.
Sentiment is useful for
analysing important on pages
elements to compare against
competing articles
-H1,H2, H3 etc etc
-Opening paragraph
-Synopsis
57.
Example:
Ranking
position 1
“Best ways
to do SEO?”
71.
Here is the link
to a template
that will
generate them
for you
72.
You can get fancy with
the Google urls by
adding in the amount of
result you want to
scrape and different
countries, there is
more details in Ross’s
article
73.
Once you have the urls for
the search terms that you
want to scrape, go to
Screaming Frog and change
the crawl mode to list
74.
CHANGE SETTINGS TO:
● Configuration > Spider > Basic > Uncheck all boxes
● Configuration > Spider > Rendering > JavaScript
(from the dropdown – this is generally required to
scrape elements of a page that Google uses JS to
inject into the SERPs)
● Configuration > Speed > Max Threads = 1 (because
you don’t want Google to block your IP)
● Configuration > Speed > Limit URI/s = 1.2
75.
Put in custom XPATH extractions for:
meta titles
//div/h3
meta descriptions
//ol/div/div/span
That extract TEXT
77.
Screaming Frog will then crawl
Google’s SERPs and pull out
the meta descriptions and
meta titles for the websites
that are rankings from position
1 and so on as specified
78.
Don’t worry, you
won’t have the
same regrets as
pub crawl cat
79.
Then go to
extraction all
the way down
at the bottom
of the side nav
and export the
results
80.
This is where we add the
intent to all of this and
get an idea of how
Google is using intent
81.
Time for
spreadsheet
number 2 link
where you
upload the
data you just
exported to
82.
Ross provided a spreadsheet
which is similar to this one but
only covered 2 intent variable.
With some Regex help I’ve
expanded the sheet out to
cover up to 7 of the 9 Content
Harmony stages
83.
Once data added will looks something like this
84.
Automatically puts in the intent stages for the
meta descriptions and meta titles screaming frog
pulled out
85.
3 similar themed search terms Business Loans, P2P lending & Crowdfunding
Business Loans - Is more divided between Research and Transactional
Stages
86.
3 similar themed search terms Business Loans, P2P lending & Crowdfunding
Crowdfunding - Mostly Research stage
87.
3 similar themed search terms Business Loans, P2P lending & Crowdfunding
P2P lending - More Transactional on broad term but longer tail term goes more
research based
88.
But how does this show how Google
interprets similar keywords
differently?
89.
Well in this example...
Mainly Google classes intent as:
Business loans= Research/Transactional
Crowdfunding terms = Research
P2P lending terms = Transactional
90.
Spreadsheet 2 tips:
- You can adjust Regex code with the different
modifiers depending on what you looking at
- If get stuck annoy me on twitter @MarkSEOsborne and
will help out
91.
This is the end of my
“seedy” seo journey to
date :(
I’m still working on a way
to get all 9 stages into the
spreadsheet - follow me
on twitter for updates
@MarkSEOsborne
92.
Sorry if it wasn’t that
seedy so here is some
tits to make up for it
93.
OH! We are hiring for lots of
SEO roles if interested and
live around Reading area
www.bluearray.co.uk/jobs/