The document discusses how social signals are becoming more important for search engine optimization (SEO) as Google places more emphasis on social data and user reputation. It provides three key actions for marketers to implement: [1] Include target keywords in Google+ profile links; [2] Claim content using rel="author" to establish author reputation; [3] Increase social shares, likes and comments on content to boost social signals. Taking these steps helps content rank in search through social metrics rather than anonymous backlinks.
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Social SEO and Social Signals - London, 14 March 2012
1. Social Search (SEO)
& Social Signals
With expanded 3 action points
to implement immediately
#Gplusbrands
London, 14 March 2012
2. Evolving with Google
The lines between Social and SEO are blurring
â Backlinks to sites not necessarily required
â Social Signals are the new backlinks
3. 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 = a better web.
4. Evolving with Google
⢠SEO Social Search : really interesting because itâs
one of the areas where you donât have to necessarily
optimise for search engines
⢠Itâs new, exciting change & future proofing
5. Is SEO dead? NO - Evolving
Move from an
anonymous web to a
web in which
everybody has at
least some idea of
the reputation of an
author
6. Is SEO Dead? NO - Evolving
The problem
⢠Twitter &
Facebook are
private clubs
⢠Google can only
use signals it can
see and can crawl
7. The ripple effect
All these âlikesâ but
who are the key
influencers?
⢠https://plus.google.com/ripples
13. ⢠Not logged
into Google
⢠No backlinks
⢠Ranking
achieved
using social
signals and
AuthorRank
14. 2. AuthorRank Claim your content using -
rel="authorâ
TIP: If you post content on G+ this is taken care of for you
15. 2. AuthorRank Claim your content
⢠3 step process for content:
â Write quality content on your site and on third
party sites that people want to share
â Allow Google+ users to share and validate content
on your site by adding the +1 button to your site
â Use author markup (rel=âmeâ and rel=âauthorâ)
wherever you, to link your content and author
page to your Google+ profile
16. Setting up AuthorRank
⢠Upload your photo â headshot
⢠Verify the email address youâll be
associating with your content using
Googleâs process - http://digf.la/xxE4yT
⢠Add any blogs for which youâve written
to the âContributor Toâ section of your
âAboutâ page on G+
17. Setting up AuthorRank
⢠Then make sure each piece of content you
write (no matter where) includes:
â your name
â a mailto link (âmailto: you@yourname.comâ
Google should then take care of the rest
NOTE: it may take some time to show in results
26. Primary engagement only
⢠Total +1s = 39,17,25 = 81
⢠Total Comments = 145, 34, 33 = 212
⢠Total shares = 34, 12, 31 = 78
⢠These do not include secondary
comments, +1s or reshares
The challenge:How to improve the way users retrieve information from the web is actually limited by Goolgeâs 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 Goolgeâs 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.