In October of 2013 Google let the world know about their Hummingbird platform. Little is understood on what that release was about and the impact it has had / is having. Yet, the impact is very significant already, and there is much more to come. Come to this session to learn about how Hummingbird is driving the future of search.

1. Hummingbird – The True Story

2. First Off... Who Am I?
 Co-author: The Art of SEO
 CEO: Stone Temple Consulting, 30+
person Digital Marketing and SEO firm
 Columnist:
 Interviewer:

3. Eric Enge – Fun Fact
1984 World
Foosball
Champion –
“Goalie War”

4. Hummingbird

5. Three Parts to Google’s Product
Search Engine
1 2 3
Spider/Crawler/Robot
Index

6. Four Parts – With The Knowledge Graph
Search Engine
1 2 3
Spider/Crawler/Robot Index
The Knowledge Graph
is a set of structured
databases that can
answer specific
questions

7. The Mobile Device Revolution

8. On Mobile at
SMX Advanced:
Said that mobile
search queries
will exceed
desktop queries
before end of
2014

9. PCs Declining, Tablets Exploding

10. Smart Phone Sales Too

11. Role of Voice Search

12. Google Investing Heavily

14. “Voice control/search
will soon be the primary
way that users interact
with Android devices,
especially as the
operating system
expands into cars, onto
wrists and on TV sets.”
Greg Sterling
Search Engine Land
June 27, 2014

16. Environments Where It Will Not Work

17. Caffeine (June 2010)
Search Engine
1 2 3
Spider/Crawler/Robot
Index
Rewrote These Parts of Google

18. No Rewrite to the Search
Engine - Ever

19. Until Hummingbird
Search Engine
1 2 3
Spider/Crawler/Robot
Index
Hummingbird was a rewrite of the Search Engine

20. What is Hummingbird?
https://www.youtube.com/watch?v=iLqVuUqx57k

21. Natural Language Search

22. Maps to Knowledge Graph

23. Comparison
Queries
Jupiter VS
Saturn

24. Synonyms

25. Understands Context – “Where is the
closest Italian restaurant”

26. Maps User Intent – “Red Sox VS Yankees”

28. “Red Sox VS Yankees” - Offseason

29. During a Patriots Playoff Game

32. 33,800 Results – Really?

33. Example
Sequence

34. “How Tall Is He”

35. “Who Is His Wife?”

36. “Does He Have Children?”

37. “When Did He Start Playing Football?”

43. Natural Language Search in a Nutshell
Query
Translator
User
Query Main
Algo
Translated Search Query Results
Modified
Query
Hummingbird

44. Inside the Query Translator
Query Translator
User
Query Modified
Query
Previous
Query
References
Comparison
Query
Relative
References
Perform
Query
Translation
“It”
“vs”
“near”
Synonyms “auto”, “car”

45. Impact on SEO

46. SEO Tactics Significantly Changed

47. Keyword Stuffing - 2000
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48. Keyword Stuffing - 2010
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49. Hummingbird Ready Copy - 2014
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audits, link building, and content marketing. Our
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techniques. We will agree on ROI goals with
you and measure progress over time.
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50. What
Needs do
the Top
Ranking
Sites
Address?

51. Co-Occurrence Example

52. Co-Occurrence Mix Correlates With Ranking

53. Real World Example

54. Address User Wants / Needs

55. User Groups

56. UserTesting.com

57. Mechanical Turk Can Work Too!

58. Map Web Design to User Needs

59. Example of Content Depth
Who is
Better, Tom
Brady or
Peyton
Manning?
Compare
Tom Brady
Peyton
Manning
Does your sport
site have a page
that discusses this
very common
question?

60. Next Query Anticipation
• What if 25% of people who search on “Eiffel
Tower” want to know the height of the
tower?
• Does your page answer that question?
• What are the real questions users have in
mind?
• Are you answering them?

61. Example – Pizza Place in Las Vegas
Where is
the Nearest
Pizza Place?
Las Vegas
Pizza
Address
Menu
Hours
Prices
Coupons
Bar?
Reservations?
Local Language

62. Implement
Schema
Even if No
Rich
Snippets

63. Even if You Don’t
Have the
Programming Talent

64. Get the Information on Your Web Page
Address
Menu
Hours
Prices
Coupons
Bar?
Reservations?

65. Thank You!
Eric Enge
eenge@stonetemple.com
@stonetemple
+Eric Enge
(508) 485-7751
www.stonetemple.com