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
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Distilled
November 19, 2015
Technology
0
340
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
150
Rand Fishkin — Search Ranking Factors in 2015 What Data, Opinions, and Testing Reveal
distilled
0
220
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
300
Aaron Friedman — ‘Google's Predictable Content Preference’
distilled
0
310
Aleyda Solis — ‘Unlocking Growth Opportunities with Search Analytics’
distilled
0
250
Anum Hussain — ‘Topics Over Keywords: An SEO-Driven Approach to Content Marketing’
distilled
0
310
Casie Gillette — ‘21 Must-Have PR Tools and Tactics’
distilled
0
200
Daniel Gilbert — ‘PPC and SEO: Better Together’
distilled
0
710
Other Decks in Technology
See All in Technology
2026年のAIエージェント構築はどうなる?
minorun365
12
2.9k
俺の失敗を乗り越えろ!メーカーの開発現場での失敗談と乗り越え方 ~ゆるゆるチームリーダー編~
spiddle
0
400
2026-02-24 月末 Tech Lunch Online #10 Cloud Runのデプロイの課題から考えるアプリとインフラの境界線
masasuzu
0
100
バニラVisaギフトカードを棄てるのは結構大変
meow_noisy
0
160
AIで 浮いた時間で 何をする? 2026春 #devsumi
konifar
16
3.5k
チームメンバー迷わないIaC設計
hayama17
5
3.2k
なぜAIは組織を速くしないのか 令和の腑分け
sugino
80
50k
【PyCon mini Shizuoka 2026】生成AI時代に画像処理やオーディオ処理のノードエディターを作る理由
kazuhitotakahashi
0
200
1 年間の育休から時短勤務で復帰した私が、 AI を駆使して立ち上がりを早めた話
lycorptech_jp
PRO
0
190
Eight Engineering Unit 紹介資料
sansan33
PRO
1
6.8k
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
4k
Interop Tokyo 2025 ShowNet Team Memberで学んだSRv6を基礎から丁寧に
miyukichi_ospf
0
250
Featured
See All Featured
How to build a perfect <img>
jonoalderson
1
5.2k
[SF Ruby Conf 2025] Rails X
palkan
2
800
A Tale of Four Properties
chriscoyier
162
24k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
How GitHub (no longer) Works
holman
316
140k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
117
110k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Balancing Empowerment & Direction
lara
5
920
Evolving SEO for Evolving Search Engines
ryanjones
0
140
The Cost Of JavaScript in 2023
addyosmani
55
9.7k
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.1k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.6k
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