This document discusses how social media and search engine optimization (SEO) are blurring together. It outlines how Google uses social signals from platforms like Google+ in its search rankings. It recommends three immediate actions for businesses: 1) Include keywords in Google+ profile links, 2) Claim content ownership using rel="author" tags, and 3) Increase social shares linking back to content. The document suggests this "social SEO" approach can help websites rank in Google search without other traditional SEO techniques.
5. Evolving with Google
The problem
• Twitter &
Facebook are
private clubs
• Google can only
use signals it can
see and can crawl
– Nofollow
– Dofollow
6. IMAGINE not having to worry about anonymous
blog spam because you know exactly who the
person is that wrote the article or comment
= GREATER accountability and a better web.
7. Evolving with Google
• Social Search (SEO): really interesting because it’s
one of the areas where you don’t have to necessarily
optimise for search engines
• It’s new, interesting & future proofing
8. Is SEO dead?
Move from an
anonymous web to a
web in which
everybody has at
least some idea of
the reputation of an
author
9. Some believe that Apple will displace Google as the
search engine of Is SEO dead? Siri technology
choice with its new
13. 3 key G+1 actions to implement
immediately
1. Put your keyword(s) in profile links
14. • Not logged into
Google
• No backlinks
• Ranking achieved
using social
media only
15. 3 key G+1 actions to implement
immediately
2. Claim your content using - rel="author
Rich Snippits
<a href=”[profile_url]?rel=author”>Google+</a>
The + at the end of the ‘anchor text’ is important!
The challenge:How to improve the way users retrieve information from the web is actually limited by Goolge’s own search interface. Google's simple search box interface has successfully trained most users to abstract complex queries into few keywords, and as result, much context is lost as we are searching.In some way, Google Instant was a way to mitigate this problem by previewing results per keywords, but the search experience is still limited to a keyword index, regardless the interface Google wraps around with.Moving forward, what's interesting is how AI can help search - & NOT to discard the constraints of human language. In ML, constraints are good, and for searchEnd of day, human being still converse in sentences, not keywords.
The challenge:How to improve the way users retrieve information from the web is actually limited by Goolge’s own search interface. Google's simple search box interface has successfully trained most users to abstract complex queries into few keywords, and as result, much context is lost as we are searching.In some way, Google Instant was a way to mitigate this problem by previewing results per keywords, but the search experience is still limited to a keyword index, regardless the interface Google wraps around with.Moving forward, what's interesting is how AI can help search - & NOT to discard the constraints of human language. In ML, constraints are good, and for searchEnd of day, human being still converse in sentences, not keywords.
The challenge:How to improve the way users retrieve information from the web is actually limited by Goolge’s own search interface. Google's simple search box interface has successfully trained most users to abstract complex queries into few keywords, and as result, much context is lost as we are searching.In some way, Google Instant was a way to mitigate this problem by previewing results per keywords, but the search experience is still limited to a keyword index, regardless the interface Google wraps around with.Moving forward, what's interesting is how AI can help search - & NOT to discard the constraints of human language. In ML, constraints are good, and for searchEnd of day, human being still converse in sentences, not keywords.