$30 off During Our Annual Pro Sale. View Details »
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
330
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
140
Rand Fishkin — Search Ranking Factors in 2015 What Data, Opinions, and Testing Reveal
distilled
0
210
Larry Kim — The Top 10 Facebook & Twitter Advertising Hacks of All Time
distilled
0
170
Will Critchlow - Practical Tips for the Future of Search II
distilled
0
290
Aaron Friedman — ‘Google's Predictable Content Preference’
distilled
0
300
Aleyda Solis — ‘Unlocking Growth Opportunities with Search Analytics’
distilled
0
240
Anum Hussain — ‘Topics Over Keywords: An SEO-Driven Approach to Content Marketing’
distilled
0
300
Casie Gillette — ‘21 Must-Have PR Tools and Tactics’
distilled
0
190
Daniel Gilbert — ‘PPC and SEO: Better Together’
distilled
0
700
Other Decks in Technology
See All in Technology
Building Serverless AI Memory with Mastra × AWS
vvatanabe
0
590
TED_modeki_共創ラボ_20251203.pdf
iotcomjpadmin
0
150
NIKKEI Tech Talk #41: セキュア・バイ・デザインからクラウド管理を考える
sekido
PRO
0
210
MySQLのSpatial(GIS)機能をもっと充実させたい ~ MyNA望年会2025LT
sakaik
0
120
[2025-12-12]あの日僕が見た胡蝶の夢 〜人の夢は終わらねェ AIによるパフォーマンスチューニングのすゝめ〜
tosite
0
180
「図面」から「法則」へ 〜メタ視点で読み解く現代のソフトウェアアーキテクチャ〜
scova0731
0
510
Strands Agents × インタリーブ思考 で変わるAIエージェント設計 / Strands Agents x Interleaved Thinking AI Agents
takanorig
5
2.1k
子育てで想像してなかった「見えないダメージ」 / Unforeseen "hidden burdens" of raising children.
pauli
2
330
2025年のデザインシステムとAI 活用を振り返る
leveragestech
0
270
2025-12-27 Claude CodeでPRレビュー対応を効率化する@機械学習社会実装勉強会第54回
nakamasato
4
1.1k
AgentCore BrowserとClaude Codeスキルを活用した 『初手AI』を実現する業務自動化AIエージェント基盤
ruzia
7
1.6k
AgentCoreとStrandsで社内d払いナレッジボットを作った話
motojimayu
1
970
Featured
See All Featured
The AI Search Optimization Roadmap by Aleyda Solis
aleyda
1
5k
The Language of Interfaces
destraynor
162
25k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
51k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
359
30k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
61
40k
So, you think you're a good person
axbom
PRO
0
1.8k
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
110
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Building a A Zero-Code AI SEO Workflow
portentint
PRO
0
200
Between Models and Reality
mayunak
0
150
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
130
Embracing the Ebb and Flow
colly
88
4.9k
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