Google Algorithm (Expected few Factors)

Domain factors:

• Domain age; 
• Length of domain registration; 
• Domain registration information hidden/anonymous; 
• Site top level domain (geographical focus, e.g. com versus co.uk); 
• Site top level domain (e.g. .com versus .info); 
• Sub domain or root domain? 
• Domain past records (how often it changed IP); 
• Domain past owners (how often the owner was changed) 
• Keywords in the domain; 
• Domain IP; 
• Domain IP neighbors; 
• Domain external mentions (non-linked) 

Server-side factors :

• Server geographical location;
• Server reliability / uptime 

Architecture factors :

•  URL structure; 
• HTML structure; 
• Semantic structure; 
• Use of external CSS / JS files; 
• Website structure accessibility (use of inaccessible navigation, JavaScript, etc); 
• Use of canonical URLs; 
• “Correct” HTML code (?). 

Content factors:  

• Content language 
• Content uniqueness; 
• Amount of content (text versus HTML); 
• Unlinked content density (links versus text); 
• Pure text content ratio (without links, images, code, etc) 
• Content topicality / timeliness (for seasonal searches for example); 
• Semantic information (phrase-based indexing and co-occurring phrase indicators) 
• Content flag for general category (transactional, informational, navigational) 
• Content / market niche 
• Flagged keywords usage (gambling, dating vocabulary)

Internal Cross Linking factors:

• # of internal links to page; 
• # of internal links to page with identical / targeted anchor text; 
• # of internal links to page from content (instead of navigation bar, breadcrumbs, etc); 
• # of links using “nofollow” attribute; (?) 
• Internal link density,

Website factors factors:  

• Website Robots.txt file content 
• Overall site update frequency; 
• Overall site size (number of pages); 
• Age of the site since it was first discovered by Google 
• XML Sitemap; 
• On-page trust flags

Page-specific factors factors :  

• Page meta Robots tags; 
• Page age; 
• Page freshness (Frequency of edits and 
• % of page effected (changed) by page edits); 
• Content duplication with other pages of the site (internal duplicate content); 
• Page content reading level; (?) 
• Page load time; 
• Page type (About-us page versus main content page); 
• Page internal popularity (how many internal links it has); 
• Page external popularity (how many external links it has relevant to other pages of this site);

Keywords usage and keyword prominence factors : 

• Keywords in the title of a page;
• Keywords in the beginning of page title; 
• Keywords in Alt tags; 
• Keywords in anchor text of internal links (internal anchor text); 
• Keywords in anchor text of outbound links (?); 
• Keywords in bold and italic text (?); 
• Keywords in the beginning of the body text; 
• Keywords in body text; 
• Keyword synonyms relating to theme of page/site; 
• Keywords in filenames; 
• Keywords in URL.  

 Outbound links factors: 

• Number of outbound links (per domain); 
• Number of outbound links (per page); 
• Quality of pages the site links in; 
• Links to bad neighborhoods; 
• Relevancy of outbound links; 
• Links to 404 and other error pages. 
• Links to SEO agencies from clients site 

Backlink profile factors :  

• Relevancy of sites linking in; 
• Relevancy of pages linking in; 
• Quality of sites linking in; 
• Quality of web page linking in;
• Backlinks within network of sites; 
• Co-citations (which sites have similar backlink sources); 
• Link profile diversity: 
• Anchor text diversity; 
• ifferent IP addresses of linking sites,
• Geographical diversity, 
• Different TLDs,
• Topical diversity,
• Different types of linking sites (logs, directories, etc); 
• Diversity of link placements 
• Authority Link (CNN, BBC, etc) Per Inbound Link 
• Backlinks from bad neighborhoods (absence / presence of backlinks from flagged sites) 
• Reciprocal links ratio (relevant to the overall backlink profile); 
• Social media links ratio (links from social media sites versus overall backlink profile); 
• Backlinks trends and patterns (like sudden spikes or drops of backlink number) 
• Citations in Wikipedia and Dmoz;
• Backlink profile historical records (ever caught for link buying/selling, etc).  

Each Separate Backlink factors:  

• Authority of TLD (.com versus .gov) 
• Authority of a domain linking in 
• Authority of a page linking in 
• Location of a link (footer, navigation, body text) 
• Anchor text of a link (and Alt tag of images linking) 
• Title attribute of a link (?)  

Visitor Profile and Behavior factors:  

• Number of visits;
• Visitors’ demographics; 
• Bounce rate; 
• Visitors’ browsing habits (which other sites they tend to visit) 
• Visiting trends and patterns (like sudden spiked in incoming traffic) 
• How often the listing is clicked within the SERPs (relevant to other listings)  

Penalties, Filters and Manipulation factors: 

• Keyword over usage / Keyword stuffing;
• Link buying flag 
• Link selling flag; 
• Spamming records (comment, forums, other link spam); 
• Cloaking; 
• Hidden Text; 
• Duplicate Content (external duplication) 
• History of past penalties for this domain 
• History of past penalties for this owner 
• History of past penalties for other properties of this owner (?) 

Few More Factors:  

• Domain registration with Google Webmaster Tools; 
• Domain presence in Google News; 
• Domain presence in Google Blog Search; 
• Use of the domain in Google AdWords; 
• Use of the domain in Google Analytics; 
• Business name / brand name external mentions.

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