Scaling CREDIBLE Content
A Case Study
by Joe Griffin
Co-CEO, iAcquire

We do Scalable Content Marketing

Problem: Finding CREDIBLE Content
Producers at Scale is Tough

Within search results, 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. The true cost of remaining
anonymous, then, might be irrelevance.
– The New Digital Age by Eric Schmidt, Chairman of Google

Okay, How Do We Find These Authors?

Operation Find and Rank Authors
- Round 1 – Low Scale

We Stalked Big Publishers That
Use Google Authorship

Nerdy Data Crawls Millions of
Websites & You Can Search HTML

Example – 55,000 Websites Found Using
the Google Maps API

Blekko Published a WebGrep on
Rel=Author – Top 500 Free

We Created Big Lists of Credible
Authors (like 100,000)

But, We Needed to Judge Their Relative
Proliferation…
Because Google Authorship is Becoming “People PageRank”

Necessity is the Mother of Invention

Operation Find and Rank Authors
- Round 2 – Big Scale

We Tapped into Big Data
& Built an Application
Big Data + Software Engineering = Scale

The Common Crawl Became a Seed Source
41 Million Domains, 4 Billion Pages and 210 Terabytes

GNIP Served as a Real-Time Engine
Firehoses from Twitter, Tumblr, WordPress, and more…

Example – You Can Pull Up to 2-Years
of Historical Tweets
Firehoses from Twitter, Tumblr, WordPress, and more…

We Used Amazon Cloud Search to Create
an Index of the Domains
Specifically URL’s that have authorship markup.

We Used GiraPh To Rank The Authors
Facebook Uses Giraph Too

The Result

VoiceGraph™
and VoiceRank™
™

Follow iAcquire™
and ClearVoice™ for
Tools and Resources

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