Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Tom Anthony - New Paradigms: Five Fundamental C...
Search
Distilled
November 19, 2015
Technology
0
310
Tom Anthony - New Paradigms: Five Fundamental Changes in Search II
Distilled
November 19, 2015
Tweet
Share
More Decks by Distilled
See All by Distilled
Wil Reynolds — Paid Search Strategies SEOs will Love
distilled
0
130
Rand Fishkin — Search Ranking Factors in 2015 What Data, Opinions, and Testing Reveal
distilled
0
180
Larry Kim — The Top 10 Facebook & Twitter Advertising Hacks of All Time
distilled
0
150
Will Critchlow - Practical Tips for the Future of Search II
distilled
0
280
Aaron Friedman — ‘Google's Predictable Content Preference’
distilled
0
280
Aleyda Solis — ‘Unlocking Growth Opportunities with Search Analytics’
distilled
0
220
Anum Hussain — ‘Topics Over Keywords: An SEO-Driven Approach to Content Marketing’
distilled
0
280
Casie Gillette — ‘21 Must-Have PR Tools and Tactics’
distilled
0
170
Daniel Gilbert — ‘PPC and SEO: Better Together’
distilled
0
690
Other Decks in Technology
See All in Technology
LLMで構造化出力の成功率をグンと上げる方法
keisuketakiguchi
0
630
Claude Codeは仕様駆動の夢を見ない
gotalab555
23
5.9k
2025-07-31: GitHub Copilot Agent mode at Vibe Coding Cafe (15min)
chomado
2
390
Claude CodeでKiroの仕様駆動開発を実現させるには...
gotalab555
3
960
オブザーバビリティプラットフォーム開発におけるオブザーバビリティとの向き合い / Hatena Engineer Seminar #34 オブザーバビリティの実現と運用編
arthur1
0
370
UDDのススメ - 拡張版 -
maguroalternative
1
370
Vision Language Modelと自動運転AIの最前線_20250730
yuyamaguchi
3
1.2k
僕たちが「開発しやすさ」を求め 模索し続けたアーキテクチャ #アーキテクチャ勉強会_findy
bengo4com
0
2.2k
GMOペパボのデータ基盤とデータ活用の現在地 / Current State of GMO Pepabo's Data Infrastructure and Data Utilization
zaimy
3
210
Unson OS|48時間で「売れるか」を判定する AI 市場検証プラットフォーム
unson
0
180
Oracle Cloud Infrastructure:2025年7月度サービス・アップデート
oracle4engineer
PRO
1
150
Amazon Qで2Dゲームを作成してみた
siromi
0
120
Featured
See All Featured
Adopting Sorbet at Scale
ufuk
77
9.5k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
26k
The World Runs on Bad Software
bkeepers
PRO
70
11k
BBQ
matthewcrist
89
9.8k
The Cost Of JavaScript in 2023
addyosmani
51
8.8k
How to train your dragon (web standard)
notwaldorf
96
6.2k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
Code Reviewing Like a Champion
maltzj
524
40k
GitHub's CSS Performance
jonrohan
1031
460k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
139
34k
Rails Girls Zürich Keynote
gr2m
95
14k
StorybookのUI Testing Handbookを読んだ
zakiyama
30
6k
Transcript
brought to you by… @TomAnthonySEO FIVE FUNDAMENTAL CHANGES IN SEARCH
None
None
None
5 TRENDS
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
1. EXPLICIT VS IMPLICIT QUERY ASPECTS
search query “london tube stations”
explicit aspect of query implicit aspect of query iPhone user,
on street in London “london tube stations”
TIME TOTAL SIGNAL INFORMATION explicit signal implicit signal
Device Location Browser Social Connections Time of Day Search History
Language
• NBED - WEARABLES
None
• NBED - PHYSICAL WEB
Mockup: Jack Morgan
TIME TOTAL SIGNAL INFORMATION explicit signal implicit signal
My vision when we started Google 15 years ago was
that eventually you wouldn't have to have a search query at all. SERGEY BRIN GOOGLE
FACT Explosion of implicit signals is leading to more complex
queries and more granular results. QUESTION Which implicit signals could impact searchers trying to find your clients?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
2. COMPOUND QUERIES
Query Algorithm Response Revised Query Algorithm Response A SEARCH QUERY
Query Algorithm Response Revised Query Algorithm Response OLD MODEL: MULTIPLE
QUERIES
HUMMINGBIRD Credit: mikebaird on Flickr
None
None
NEW MODEL: MULTI-STEP QUERIES Query Algorithm Response Additional Input Algorithm
Revised Response
None
None
None
FACETED SEARCH = CROSS SITE FACETED NAV
FACT Queries are no longer single expressions of intent followed
by static responses. QUESTION What compound queries might your visitors be trying?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
3. KEYWORD FOCUS TO INTENT FOCUS
Example from: Rand Fishkin, Moz KEYWORD MATCHING IS NOW INTENT
MATCHING
Source: /u/UpboatOarKnotUpboat SEARCH HISTORY OF A 5 YEAR OLD
None
CONTEXTUAL SEARCHES
FACT Intent is not just ‘better keywords’; it is determined
from implicit signals and across multiple queries. QUESTION Do you know which landing pages serve which intents on your site?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
NBED: Future 4. DATA DRIVEN SEARCH
SHIFT AWAY FROM ‘WEB SEARCH’: ENTITIES
SHIFT AWAY FROM ‘WEB SEARCH’: ANSWERS
SHIFT AWAY FROM ‘WEB SEARCH’: GOOGLE NOW
APP INDEXING & DEEP LINKS
WHERE ARE WE HEADED?
CROSS DEVICE TASKS & SEARCHES source: http:/ /services.google.com/fh/files/misc/multiscreenworld_final.pdf (thanks, Dr
Pete)
APPLE HANDOFF
SHARED SCREENS
CARDS
CARDS ARE JUST UNITS OF DATA
CARDS source: http:/ /blog.intercom.io/the-end-of-apps-as-we-know-them/
NEW MOBILE INTERFACE: SEPT 2015
Knowledge Graph Data Partnerships DATA SOURCES Everything Else ?
Knowledge Graph Data Partnerships DATA SOURCES Everything Else YOU AND
I!
FEATURED SNIPPETS
FACETED SEARCH (AGAIN)
FACT Multiple interfaces, the rise of ‘answers’ is driving search
towards a ‘data driven’ model. QUESTION Why should Google choose you as a data source?
4. DATA DRIVEN SEARCH 1. IMPLICIT QUERIES 3. KEYWORDS vs
INTENT 2. COMPOUND QUERIES 5. CONVERGENCE OF INTERFACES
5. THE CONVERGENCE OF INTERFACES
None
INWARD SEARCHES
INWARD SEARCHES
None
GOOGLE INBOX & CARDS
INBOX FEEDING SEARCH & NOW
None
FACT ‘Ultimate assistants’ will mean we increasingly do inward and
outward searches in one interface. QUESTION What could a connection to your data provide this interface that Google can’t do without you?
BONUS: MACHINE LEARNING RANKING FACTORS
ML BASED RANKING FACTORS
TAKEAWAYS
Intent is more than just ‘keywords done better’; consider the
implicit signals and compound queries. Data Driven Search is coming; prepare your foundations (listen to Will). Decline of Web Search is an opportunity; optimize on another axis (that isn’t PageRank based). TAKEAWAYS
@TomAnthonySEO THANKS