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OF
EVOLUTION
THE
SEARCH
OF
TOM ANTHONY
(& hat it means for SEO)
Rise of the Web
e
b
usage
time
Decline of the Web
eb
usag
e
time
3-4 years
Internet Search SEO
Trends Actions
WHY
RATHER THAN
WHAT
The Evolution of
the Internet
MON TUES ED THURS FRI SAT SUN
MON TUES ED THURS FRI SAT SUN
Rise of Apps
The Evolution of
Search
Search Process
Search Process
Search Process
Contextual Results
Contextual Results
Contextual Search Reļ¬nement
Entity Search
Personalisation
Personalisation
Device
Location Browser
Social Connections
Time of Day
Search History
Context
Language
ā€œlondon tube stationsā€
Queries and Context
ā€œlondon tube stationsā€
query
Old Query Model
explicit query
implicit query
iPhone user, on street in London
ā€œlondon tube stationsā€
New Query Model
New Query Model
Query Makeup
TIME
TOTALSIGNALINFORMATION
explicit signal
implicit signal
Query Makeup
TIME
TOTALSIGNALINFORMATION
explicit signal
implicit signal
Query Makeup
TIME
TOTALSIGNALINFORMATION
explicit signal
implicit signal
Query Makeup
TIME
TOTALSIGNALINFORMATION
explicit signal
implicit signal
Query Makeup
TIME
TOTALSIGNALINFORMATION
explicit signal
implicit signal
SERGEY BRIN
GOOGLE
My vision when we started
Google 15 years ago was that
eventually you wouldn't have to
have a search query at all.
You'd just have information come
to you as you needed it.
Implicit Queries
The Evolution of
SEO
Panda & Penguin
ITā€™S ALL
ABOUT TRUST
Caļ¬€eine: Panda & Penguinā€™s Ancestor
Old index Caļ¬€eine
Caļ¬€eine: Machine Learning
Authorship
Information tied to veriļ¬ed online
proļ¬les will be ranked higher than
content without such veriļ¬cation,
which will result in most users
naturally clicking on the top
(veriļ¬ed) results.
ERIC SCHMIDT
GOOGLE
Web Graph
Social Graph
Social Signals
Trusted Links
19seomoz.org
AuthorRank Theory
=x
=
10.6
x
seomoz.org
Structured Data
NBED Rich Snippets
How the results LOOK
Rich Snippets
4 Key Trends &
The Future
RESTORING
TRUST
IN LINKS
1
We have a potential launch later
this year...
...we donā€™t want low quality
experience merchants to be
ranking in the search results.
MATT CUTTS
GOOGLE
Caļ¬€eine & Machine Learning
The Internet is fast becoming a
cesspool of misinformationā€¦
brands are the answer.
ERIC SCHMIDT
GOOGLE
DIVISION OF
WEB & NON-WEB
SEARCHES
2
Division of Web & Non-Web Searches
Division of Web & Non-Web Searches
UNDERSTAND
RATHER THAN
INDEX
3
Understand: Entity Search
Understand: Entity Search
Understand: Natural Language
ā€œHOW TALL IS JUSTIN BIEBER?ā€
ā€œJustin Bieber is ļ¬ve feet seven
inches tall.ā€
ā€œHOW OLD IS HE?ā€
ā€œJustin Bieber is 19 years old.ā€
CONTEXT
4
Weā€™re excited about context
becoming the query.
AMIT SINGHAL
GOOGLE
Context2
Context2
Context2
How you are moving?
Context2
Where were you?
Where are you going?
What are you doing?
Who are you with?
Preparing for
the Future
RESTORING
TRUST
IN LINKS
1
Trust: Brand Signals
Brand: Google+ Unavoidable
Brand: Authorship for Companies
rel = ā€œpublisherā€
Brand: Generic TLDs
We know that great content comes
from great authors, and weā€™re
looking closely at ways this markup
could help us highlight authors and
rank search results.
OTHAR HANSSON
GOOGLE AUTHORSHIP PROJECT
Trust: Authorship
DIVISION OF
WEB & NON-WEB
SEARCHES
2
Non-Web: Business Development
Partner with Google?
Partner: Become a Data Provider (APIs)
OR
Non-Web: Cut Out Google
Cut Google Out?
Cut Google Out: Integrate Social
Non-Web: Cut Google Out (of Search)
Cut Google Out: On-site Search
UNDERSTAND
RATHER THAN
INDEX
3
Understand: Structured Markup
Death of
keywords?
Understand: Concepts, not Keywords.
Reporting
Understand: Reporting
CONTEXT
4
Context: Appropriate Landing Pages
Mobile: Listen to Aleyda!
TOM ANTHONY
Thanks!
TRUST1
NON-WEB2
UNDERSTAND3
CONTEXT4
four
key
trends
IMAGE CREDITS:
Apps backdrop: Adobe
Siri images: Breezi PlaceIt
57 signals diagram: Eli Pariser
Google Glass for Tube: Jack Morgan
Google Cooling Room: Google/Connie Zhou
Penguin, climbers, bridge, data center, melons
report, chalkboard, library: Shutterstock
PRESENTED AT:

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