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ANALYZING A LINK 
WITH GOOGLE’S EYES
Matteo Monari 
● Co-founder and COO of BizUp srl: 
Internatioanl projects, Competitive segments, Link Earning 
● Former Head of SEO for Populis (Excite, Blogosfere, Blogo...) 
● Former SEO Manager for gambling sites (Poker, Casinò, etc.) 
for .2
What we will see 
• Why links 
• Links’ origins 
• What Google knows 
• Parameters à Tools 
• Relations and footprints 
• How to accelerate and simplify measurements 
• Examples of stats from link-earning campaigns 
for .3
Why links 
• On-site SEO – Technical (code + architecture) 
Ground of any SEO project. Search engines should be able to crawl 
and index the site fast, extensively and easily. 
• On-site SEO – Copywriting (content) 
Will allow the site to rank for certain queries. Should be properly 
planned, focus on the right KWs/topics, be informational and 
qualitative. 
• Off-site SEO (link e citazioni) 
Links and mentions, counted as “votes” in favour (or against) a site 
allow Google to determine its level of Trust and Authority. 
for .4
Off-site SEO: Link’s origins 
• Received thansk to the brand’s fame 
• Received thansk to valuable content 
• Collaborations (guest blogging, partnerships) 
• Online marketing (es.: affiliates, media-buys) 
• From sites of the same “network” (interlinking) 
• Exchanges with other sites (deprecated) 
• Pyramids and sites’ networks (deprecated) 
• Purchases from brokers / agencies (deprecated) 
• Directories and “article marketing” (deprecated) 
BRANDING 
MARKETING 
SEO 
for .5 
Spontaneous 
Built / Earned 
Investment = measurements
What to measure? 
What does Google see? 
1) Qualitative and semantic values for: 
• Site 
• Page 
• Links 
2) Relations of the link and linking site with other links and 
linking sites 
à Possible link devaluation 
for .6
Linking site: qualitative and semantic factors 
• Size 
• Penalizations 
• Spam 
• Authority 
• Topic and thematic authority 
• Age 
• Backlinks and linking domains 
• Traffic 
• Geographic Location 
• Content quality 
à + Distribution and genuinity of linking sites 
for .7
Site - Tools 
1. http://www.google.com 
2. http://www.semrush.com 
3. http://www.majesticseo.com 
4. http://www.seoquake.com 
5. http://www.archive.org 
6. http://www.domaintools.com 
7. http://www.copyscape.com 
for .8
Sito linkante : fattori qualitativi e semantici 
à Google [site: ] 
à SemRush 
à Google [site: + KW] 
à PR / MajesticSEO - TF 
à MajesticSEO - Topical TF 
à Archive.org – WhoIs 
à MajesticSEO 
à SemRush 
à SEOQuake 
à Copyscape 
• Size 
• Penalizations 
• Spam 
• Authority 
• Topic and thematic authority 
• Age 
• Backlinks and linking domains 
• Traffic 
• Geographic Location 
• Content quality 
à + Distribution and genuinity of linking sites 
for .9
EXTRA: Relations between linking sites 
Possible footprints in related sites/networks: 
• Code elements 
• Adsense codes 
• Analytics codes 
• Templates’ signatures 
• Mail addresses 
• Servers 
• Mail servers 
• ... 
= low genuinity / spam 
for .10
EXTRA: “Intelligence tools”... 
Correlation based on public data 
• IP 
• hosting 
• email 
• server 
• blacklist 
• social 
for .11 
(spiderfoot.net) 
Searches for matches in code elements 
• File names 
• JS 
• CSS 
• Templates 
• Adsense/Analytics codes 
• ... 
(nerdydata.com)
Page: qualitative and semantic factors 
• Topic 
• Indexing 
• Authority 
• Backlinks 
• Internal links 
• Outgoing links 
• Social signals* 
à Site 
à Google [site:+URL] 
à Google 
à MajesticSEO 
à ScreamingFrog 
à SEOQuake 
à Twitter / FB / Sharedcount 
for * Not a qualitative factor, but supporting signal 
.12
Page – Additional Tools 
8. http://www.screamingfrog.com 
9. http://www.facebook.com 
10. http://www.twitter.com 
11. http://www.sharedcount.com 
for .13
Links: qualitative + semantic factors 
• Format (text/immage) 
• Anchor text / ALT + distribution 
• Target page + distribution 
• Surrounding text 
• Position in the page 
• Style 
• NoFollow Attribute 
(Detailed analysis of all factorsà http://goo.gl/MbtFeH) 
for .14
Total: 
More than 25 factors, assessable (in part) with 11 
different tools, mostly paid-only... for each link! 
for .15
How to accelerate? 
1) Simplify 
à Limit to factors fast to extract 
2) Automate 
à Reporting, extraction, analysis 
3) Summarize 
à Simplify visualization 
...FREE! 
for .16
Factors that are easy to tack and extract 
SITE 
• Size 
• Authority 
• Back-links 
• Linking domains 
• Traffic 
• Distribution (IP) 
PAGE 
• Indexing 
• Authority 
• Back-links 
• Linking domains 
• Social signals 
LINKS 
• Anchor text 
• Target page 
>50% of the total factors – not bad ☺ 
for .17
Data – 1: Reporting 
Manually report, for each link, only: 
• Linking page 
• Target page 
• Anchor text 
• Date 
for .18
Data – 2: Extraction: SEOQuake 
SEOQuake: Data scraper from external tools, with limited amount of 
parameters available, often out of date... 
...but customizeable: 
for .19
Data – 2: SEOQuake: Necessary parameters 
On SEOQuake, we need the following 13 parameters: 
Google pagerank 
Google index 
Google cachedate 
Domain IP 
SEMrush links IT (added) 
SEMrush linkdomain IT (added) 
Twitter Tweets (added) 
Facebook Likes (added) 
SEMrush Rank IT (custom) 
SEMrush Traffic IT (custom) 
MajesticSEO Domain - LDs (custom) 
MajesticSEO Page - LDs (custom) 
Google Homepage PR (custom) 
9 parameters out of 13 are 
custom: 
for .20
Data – 2: SEOQuake: Necessary parameters 
... do not worry: here is a doc with ALL custom 
parameters, tested and working, ready to add! 
http://goo.gl/lLVQ99 
for .21
Data – 2: SEOQuake: Extraction 
Using the “Check/compare URLs and domains” option 
we extract and export all data for ALL linking URLs: 
(Note: in case of intense use better use a proxy) 
for .22
Dati – 2: Reporting 
Paste all data in the original table, replacing all “n/a” with “-1”. 
for .23
Dati – 3: Visualizing 
It is now possibel to create a control dashboard, composed of pivot tables. 
for .24
Qualitative heat map 
Authority, Popularity, Traffic, Size 
for .25
Qualitative distribution graphs 
PR Distribution 
(Authority, Popularity, Traffic) 
0 
1 
2 
3 
4 
Linking sites’ traffic 
100000 
10000 
1000 
Linking domains and tweet Domini linkanti 
100000 
10000 
1000 
100 
10 
1 
100 
Tweet 
10 
1 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 
for .26
Check on IP’s and C classes’ distribution 
for .27
Check on target URL’s and anchor text distribution 
for .28
Data – 3: Visualizing 
... here is the dashboard file, ready to use! 
http://goo.gl/qCvDSn 
for .29
Example - Analysis of a successful campaign 
Client: Kaspersky 
Activity: Digital PR 
Tpic: IT Security & World Cup 
Results: 
92 publications 
65 linking sites 
for .30
Successful campaigns – Analysis - 1 
Linking sites’ traffic 
100000 
10000 
1000 
100 
10 
1 
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 
Linking domains and tweets Tweet 
Domini linkanti 
for .31 
1000000 
100000 
10000 
1000 
100 
10 
1 
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65
Successful campaigns – Analysis - 3 
for .32
What we saw 
• Why links are important 
• Depth of Google’s analysis 
• Importance of measurements 
• Do not get scared by data 
• Measuring + analizing = better investments 
for .33
Feedback? 
twitter.com/matteo_monari 
bizup srl 
via del commercio 36, 00154 roma 
p.iva: IT11517471006 
phone: +39 06 45554500 
fax: +39 06 45554501 
email: info@bizupmedia.com 
web: http://www.bizupmedia.com 
twitter: @bizupmedia 
matteomonari 
ujigeng 
m.monari@bizupmedia.com

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Analyzing a Link with Google's Eyes by Matteo Monari

  • 1. ANALYZING A LINK WITH GOOGLE’S EYES
  • 2. Matteo Monari ● Co-founder and COO of BizUp srl: Internatioanl projects, Competitive segments, Link Earning ● Former Head of SEO for Populis (Excite, Blogosfere, Blogo...) ● Former SEO Manager for gambling sites (Poker, Casinò, etc.) for .2
  • 3. What we will see • Why links • Links’ origins • What Google knows • Parameters à Tools • Relations and footprints • How to accelerate and simplify measurements • Examples of stats from link-earning campaigns for .3
  • 4. Why links • On-site SEO – Technical (code + architecture) Ground of any SEO project. Search engines should be able to crawl and index the site fast, extensively and easily. • On-site SEO – Copywriting (content) Will allow the site to rank for certain queries. Should be properly planned, focus on the right KWs/topics, be informational and qualitative. • Off-site SEO (link e citazioni) Links and mentions, counted as “votes” in favour (or against) a site allow Google to determine its level of Trust and Authority. for .4
  • 5. Off-site SEO: Link’s origins • Received thansk to the brand’s fame • Received thansk to valuable content • Collaborations (guest blogging, partnerships) • Online marketing (es.: affiliates, media-buys) • From sites of the same “network” (interlinking) • Exchanges with other sites (deprecated) • Pyramids and sites’ networks (deprecated) • Purchases from brokers / agencies (deprecated) • Directories and “article marketing” (deprecated) BRANDING MARKETING SEO for .5 Spontaneous Built / Earned Investment = measurements
  • 6. What to measure? What does Google see? 1) Qualitative and semantic values for: • Site • Page • Links 2) Relations of the link and linking site with other links and linking sites à Possible link devaluation for .6
  • 7. Linking site: qualitative and semantic factors • Size • Penalizations • Spam • Authority • Topic and thematic authority • Age • Backlinks and linking domains • Traffic • Geographic Location • Content quality à + Distribution and genuinity of linking sites for .7
  • 8. Site - Tools 1. http://www.google.com 2. http://www.semrush.com 3. http://www.majesticseo.com 4. http://www.seoquake.com 5. http://www.archive.org 6. http://www.domaintools.com 7. http://www.copyscape.com for .8
  • 9. Sito linkante : fattori qualitativi e semantici à Google [site: ] à SemRush à Google [site: + KW] à PR / MajesticSEO - TF à MajesticSEO - Topical TF à Archive.org – WhoIs à MajesticSEO à SemRush à SEOQuake à Copyscape • Size • Penalizations • Spam • Authority • Topic and thematic authority • Age • Backlinks and linking domains • Traffic • Geographic Location • Content quality à + Distribution and genuinity of linking sites for .9
  • 10. EXTRA: Relations between linking sites Possible footprints in related sites/networks: • Code elements • Adsense codes • Analytics codes • Templates’ signatures • Mail addresses • Servers • Mail servers • ... = low genuinity / spam for .10
  • 11. EXTRA: “Intelligence tools”... Correlation based on public data • IP • hosting • email • server • blacklist • social for .11 (spiderfoot.net) Searches for matches in code elements • File names • JS • CSS • Templates • Adsense/Analytics codes • ... (nerdydata.com)
  • 12. Page: qualitative and semantic factors • Topic • Indexing • Authority • Backlinks • Internal links • Outgoing links • Social signals* à Site à Google [site:+URL] à Google à MajesticSEO à ScreamingFrog à SEOQuake à Twitter / FB / Sharedcount for * Not a qualitative factor, but supporting signal .12
  • 13. Page – Additional Tools 8. http://www.screamingfrog.com 9. http://www.facebook.com 10. http://www.twitter.com 11. http://www.sharedcount.com for .13
  • 14. Links: qualitative + semantic factors • Format (text/immage) • Anchor text / ALT + distribution • Target page + distribution • Surrounding text • Position in the page • Style • NoFollow Attribute (Detailed analysis of all factorsà http://goo.gl/MbtFeH) for .14
  • 15. Total: More than 25 factors, assessable (in part) with 11 different tools, mostly paid-only... for each link! for .15
  • 16. How to accelerate? 1) Simplify à Limit to factors fast to extract 2) Automate à Reporting, extraction, analysis 3) Summarize à Simplify visualization ...FREE! for .16
  • 17. Factors that are easy to tack and extract SITE • Size • Authority • Back-links • Linking domains • Traffic • Distribution (IP) PAGE • Indexing • Authority • Back-links • Linking domains • Social signals LINKS • Anchor text • Target page >50% of the total factors – not bad ☺ for .17
  • 18. Data – 1: Reporting Manually report, for each link, only: • Linking page • Target page • Anchor text • Date for .18
  • 19. Data – 2: Extraction: SEOQuake SEOQuake: Data scraper from external tools, with limited amount of parameters available, often out of date... ...but customizeable: for .19
  • 20. Data – 2: SEOQuake: Necessary parameters On SEOQuake, we need the following 13 parameters: Google pagerank Google index Google cachedate Domain IP SEMrush links IT (added) SEMrush linkdomain IT (added) Twitter Tweets (added) Facebook Likes (added) SEMrush Rank IT (custom) SEMrush Traffic IT (custom) MajesticSEO Domain - LDs (custom) MajesticSEO Page - LDs (custom) Google Homepage PR (custom) 9 parameters out of 13 are custom: for .20
  • 21. Data – 2: SEOQuake: Necessary parameters ... do not worry: here is a doc with ALL custom parameters, tested and working, ready to add! http://goo.gl/lLVQ99 for .21
  • 22. Data – 2: SEOQuake: Extraction Using the “Check/compare URLs and domains” option we extract and export all data for ALL linking URLs: (Note: in case of intense use better use a proxy) for .22
  • 23. Dati – 2: Reporting Paste all data in the original table, replacing all “n/a” with “-1”. for .23
  • 24. Dati – 3: Visualizing It is now possibel to create a control dashboard, composed of pivot tables. for .24
  • 25. Qualitative heat map Authority, Popularity, Traffic, Size for .25
  • 26. Qualitative distribution graphs PR Distribution (Authority, Popularity, Traffic) 0 1 2 3 4 Linking sites’ traffic 100000 10000 1000 Linking domains and tweet Domini linkanti 100000 10000 1000 100 10 1 100 Tweet 10 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14 for .26
  • 27. Check on IP’s and C classes’ distribution for .27
  • 28. Check on target URL’s and anchor text distribution for .28
  • 29. Data – 3: Visualizing ... here is the dashboard file, ready to use! http://goo.gl/qCvDSn for .29
  • 30. Example - Analysis of a successful campaign Client: Kaspersky Activity: Digital PR Tpic: IT Security & World Cup Results: 92 publications 65 linking sites for .30
  • 31. Successful campaigns – Analysis - 1 Linking sites’ traffic 100000 10000 1000 100 10 1 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 Linking domains and tweets Tweet Domini linkanti for .31 1000000 100000 10000 1000 100 10 1 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65
  • 32. Successful campaigns – Analysis - 3 for .32
  • 33. What we saw • Why links are important • Depth of Google’s analysis • Importance of measurements • Do not get scared by data • Measuring + analizing = better investments for .33
  • 34. Feedback? twitter.com/matteo_monari bizup srl via del commercio 36, 00154 roma p.iva: IT11517471006 phone: +39 06 45554500 fax: +39 06 45554501 email: info@bizupmedia.com web: http://www.bizupmedia.com twitter: @bizupmedia matteomonari ujigeng m.monari@bizupmedia.com