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Parameters
we are almost sure (with different level of confidence) to be
included in the algorithm:
Domain: factors:
1. Domain age;
2. Length of domain registration;
3. Domain registration information hidden/anonymous;
4. Site top level domain (geographical focus, e.g. com versus
co.uk);
5. Site top level domain (e.g. .com versus .info);
6. Sub domain or root domain?
7. Domain past records (how often it changed IP);
8. Domain past owners (how often the owner was changed)
9. Keywords in the domain;
10. Domain IP;
11. Domain IP neighbors;
12. Domain external mentions (non-linked
Server-side: 2 factors:
1. Server geographical location;
2. Server reliability / uptime
Architecture:
1. URL structure;
2. HTML structure;
3. Semantic structure;
4. Use of external CSS / JS files;
5. Website structure accessibility (use of inaccessible
navigation, JavaScript, etc);
6. Use of canonical URLs;
7. “Correct” HTML code (?).
Content factors:
1. Content language
2. Content uniqueness;
3. Amount of content (text versus HTML);
4. Unlinked content density (links versus text);
5. Pure text content ratio (without links, images, code, etc)
6. Content topicality / timeliness (for seasonal searches for
example);
7. Semantic information (phrase-based indexing and
co-occurring phrase indicators)
8. Content flag for general category (transactional,
informational, navigational)
9. Content / market niche
10. Flagged keywords usage (gambling, dating vocabulary)
Internal Cross Linking: 5 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:
1. Website
Robots.txt file content
2. Overall site update frequency;
3. Overall site size (number of pages);
4. Age of the site since it was first discovered by Google
5. XML Sitemap;
6. On-page trust flags
Page-specific factors :
1. Page meta Robots tags;
2. Page age;
3. Page freshness (Frequency of edits and
4. % of page effected (changed) by page edits);
5. Content duplication with other pages of the site (internal
duplicate content);
6. Page content reading level; (?)
7. Page load time;
8. Page type (About-us page versus main content page);
9. Page internal popularity (how many internal links it has);
10. Page external popularity (how many external links it has
relevant to other pages of this site);
Keywords usage and keyword prominence:
1. Keywords in the title of a page;
2. Keywords in the beginning of page title;
3. Keywords in Alt tags;
4. Keywords in anchor text of internal links (internal anchor
text);
5. Keywords in anchor text of outbound links (?);
6. Keywords in bold and italic text (?);
7. Keywords in the beginning of the body text;
8. Keywords in body text;
9. Keyword synonyms relating to theme of page/site;
10. Keywords in filenames;
11. Keywords in URL.
Outbound link factors:
1. Number of outbound links (per domain);
2. Number of outbound links (per page);
3. Quality of pages the site links in;
4. Links to bad neighborhoods;
5. Relevancy of outbound links;
6. Links to 404 and other error pages.
7. Links to SEO agencies from clients site
Backlink profile factors:
1.
Relevancy of sites linking in;
2.
Relevancy of pages linking in;
3.
Quality of sites linking in;
4.
Quality of web page linking in;
5.
Backlinks within
network of sites;
6.
Co-citations
(which sites have similar backlink sources);
7.
Link profile diversity:
1.
Anchor text diversity;
2.
Different IP addresses of linking sites,
3.
Geographical diversity,
4.
Different TLDs,
5.
Topical diversity,
6.
Different types of linking sites (logs, directories, etc);
7.
Diversity of link placements
1.
Authority Link (CNN, BBC, etc) Per Inbound Link
2.
Backlinks from bad neighborhoods (absence / presence of
backlinks from flagged sites)
3.
Reciprocal links ratio (relevant to the overall backlink
profile);
4.
Social media links ratio (links from social media sites versus
overall backlink profile);
5.
Backlinks trends and patterns (like sudden spikes or drops of
backlink number)
6.
Citations in Wikipedia and Dmoz;
7.
Backlink profile historical records (ever caught for link
buying/selling, etc).
Each Separate Backlink: 6 factors
1.
Authority of TLD (.com
versus
.gov)
2.
Authority of a domain linking in
3.
Authority of a page linking in
4.
Location of a link (footer, navigation, body text)
5.
Anchor text of a link (and Alt tag of images linking)
6.
Title attribute of a link
(?)
Visitor Profile and Behavior: 6 factors
1.
Number of visits;
2.
Visitors’ demographics
;
3.
Bounce rate;
4.
Visitors’ browsing habits (which other sites they tend to
visit)
5.
Visiting trends and patterns (like sudden spiked in incoming
traffic)
6.
How often the listing is clicked within the SERPs (relevant to
other listings)
Penalties, Filters and Manipulation: 10 factors
1.
Keyword over usage / Keyword stuffing;
2.
Link buying flag
3.
Link selling flag;
4.
Spamming records (comment, forums, other link spam);
5.
Cloaking;
6.
Hidden Text;
7.
Duplicate Content (external duplication)
8.
History of past penalties for this domain
9.
History of past penalties for this owner
10.
History of past penalties for other properties of this owner
(?)
More Factors (6):
1.
Domain registration with Google Webmaster Tools;
2.
Domain presence in Google News;
3.
Domain presence in Google Blog Search;
4.
Use of the domain in Google AdWords;
5.
Use of the domain in Google Analytics;
6.
Business name / brand name external mentions.
