The Evolution of Search and SEO
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Presented at KahenaCon in Jerusalem, May 26h 2013: http://www.kahenadigital.com/kahenacon/ Here I review some of the changes in Search and SEO that we've seen over the last few years. I identify 4 trends which are important for the SEO community to be thinking about as we move forward.
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The Evolution of Search and SEO
- 1. OF EVOLUTION THE SEARCH OF TOM ANTHONY (& hat it means for SEO)
- 2. Rise of the Web e b usage time
- 3. Decline of the Web eb usag e time
- 4. 3-4 years
- 8. The Evolution of the Internet
- 13. MON TUES ED THURS FRI SAT SUN
- 14. MON TUES ED THURS FRI SAT SUN
- 16. Rise of Apps
- 18. Search Process
- 19. Search Process
- 20. Search Process
- 24. Entity Search
- 25. Personalisation
- 26. Personalisation
- 27. Device Location Browser Social Connections Time of Day Search History Context Language
- 28. “london tube stations” Queries and Context
- 29. “london tube stations” query Old Query Model
- 30. explicit query implicit query iPhone user, on street in London “london tube stations” New Query Model
- 31. New Query Model
- 37. 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.
- 38. Implicit Queries
- 40. Panda & Penguin
- 42. Caffeine: Panda & Penguin’s Ancestor Old index Caffeine
- 44. Authorship
- 45. Information tied to verified online profiles will be ranked higher than content without such verification, which will result in most users naturally clicking on the top (verified) results. ERIC SCHMIDT GOOGLE
- 46. Web Graph
- 47. Social Graph
- 48. Social Signals
- 49. Trusted Links
- 51. Structured Data
- 52. NBED Rich Snippets How the results LOOK Rich Snippets
- 53. 4 Key Trends & The Future
- 56. We have a potential launch later this year... ...we don’t want low quality experience merchants to be ranking in the search results. MATT CUTTS GOOGLE
- 57. Caffeine & Machine Learning
- 58. The Internet is fast becoming a cesspool of misinformation… brands are the answer. ERIC SCHMIDT GOOGLE
- 59. DIVISION OF WEB & NON-WEB SEARCHES 2
- 60. Division of Web & Non-Web Searches
- 61. Division of Web & Non-Web Searches
- 65. Understand: Natural Language “HOW TALL IS JUSTIN BIEBER?” “Justin Bieber is five feet seven inches tall.” “HOW OLD IS HE?” “Justin Bieber is 19 years old.”
- 66. CONTEXT 4
- 67. We’re excited about context becoming the query. AMIT SINGHAL GOOGLE
- 68. Context2
- 69. Context2
- 70. Context2
- 71. How you are moving? Context2 Where were you? Where are you going? What are you doing? Who are you with?
- 76. Brand: Authorship for Companies rel = “publisher”
- 78. We know that great content comes from great authors, and we’re looking closely at ways this markup could help us highlight authors and rank search results. OTHAR HANSSON GOOGLE AUTHORSHIP PROJECT
- 80. DIVISION OF WEB & NON-WEB SEARCHES 2
- 81. Non-Web: Business Development Partner with Google?
- 82. Partner: Become a Data Provider (APIs)
- 83. OR
- 84. Non-Web: Cut Out Google Cut Google Out?
- 85. Cut Google Out: Integrate Social
- 86. Non-Web: Cut Google Out (of Search)
- 87. Cut Google Out: On-site Search
- 90. Death of keywords? Understand: Concepts, not Keywords.
- 92. CONTEXT 4
- 93. Context: Appropriate Landing Pages
- 94. Mobile: Listen to Aleyda!
- 96. 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: