Mucho se habla del algoritmo utilizado en la Formula de Google para el Posicionamiento de sitios webs. La formula es todo un misterio, aunque se ha mencionado que consta de más de 200 parámetros o factores involucrados en la formula que quita el sueño a muchos SEOs.
Hay mucha información al respecto, pero son tantos y hay tantas opiniones que de memoria es difícil mencionar rápidamente 50, o hasta 30 de ellos, por eso me pareció muy interesante la recopilación que hizo Search Engine Journal y les comparto esta lista.
Parámetros del algoritmo de Google para posicionamiento
- Domain: 13 factors
- Server-side: 2 factors
- Architecture: 8 factors
- Content: 14 factors
- Internal Cross Linking: 5 factors
- Website factors: 7 factors
- Page-specific factors: 9 factors
- Keywords usage and keyword prominence: 13 factors
- Outbound links: 8 factors
- Backlink profile: 21 factors
- Each Separate Backlink: 6 factors
- Visitor Profile and Behavior: 6 factors
- Penalties, Filters and Manipulation: 12 factors
- More Factors (6)
Como se aprecia en la lista han dividido en grupo los diferentes factores, algunos grupos tienen más factores que otros, y si bien el número de 200 es arbitrario y de seguro sean algunos factores más, por ahora la lista cuenta con 130 y nos proponen aportar nuevas ideas para completar la lista.
Factores de la formula SEO de Google
Veamos ahora cuales son los parámetros que componen cada grupo de la formula Google de posicionamiento web.
Domain: 13 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)
13.Geo-targeting settings in Google Webmaster Tools
Server-side: 2 factors
1.Server geographical location;
2.Server reliability / uptime
Architecture: 8 factors
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 (?);
8.Cookies usage;
Content: 14 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)
11.Text in images (?)
12.Malicious content (possibly added by hackers);
13.Rampant mis-spelling of words, bad grammar, and 10,000 word screeds without punctuation;
14.Use of absolutely unique /new phrases.
Internal Cross Linking: 5 factors
1.# of internal links to page;
2.# of internal links to page with identical / targeted anchor text;
3.# of internal links to page from content (instead of navigation bar, breadcrumbs, etc);
4.# of links using “nofollow” attribute; (?)
5.Internal link density,
Website factors: 7 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 (Contact info ( for local search even more important), Privacy policy, TOS, and similar);
7.Website type (e.g. blog instead of informational sites in top 10)
Page-specific factors: 9 factors
1.Page meta Robots tags;
2.Page age;
3.Page freshness (Frequency of edits and % of page effected (changed) by page edits);
4.Content duplication with other pages of the site (internal duplicate content);
5.Page content reading level; (?)
6.Page load time (many factors in here);
7.Page type (About-us page versus main content page);
8.Page internal popularity (how many internal links it has);
9.Page external popularity (how many external links it has relevant to other pages of this site);
Keywords usage and keyword prominence: 13 factors
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;
12.No “Randomness on purpose” (placing “keyword” in the domain, “keyword” in the filename, “keyword” starting the first word of the title, “keyword” in the first word of the first line of the description and keyword tag…)
13.The use (abuse) of keywords utilized in HTML comment tags
Outbound links: 8 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
8.Hot-linked images
Backlink profile: 21 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:
- Anchor text diversity;
- Different IP addresses of linking sites,
- Geographical diversity,
- Different TLDs,
- Topical diversity,
- Different types of linking sites (logs, directories, etc);
- Diversity of link placements
8.Authority Link (CNN, BBC, etc) Per Inbound Link
9.Backlinks from bad neighborhoods (absence / presence of backlinks from flagged sites)
10.Reciprocal links ratio (relevant to the overall backlink profile);
11.Social media links ratio (links from social media sites versus overall backlink profile);
12.Backlinks trends and patterns (like sudden spikes or drops of backlink number)
13.Citations in Wikipedia and Dmoz;
14.Backlink profile historical records (ever caught for link buying/selling, etc);
15.Backlinks from social bookmarking sites.
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: 12 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 (?)
11.Past hackers’ attacks records
12.301 flags: double re-directs/re-direct loops, or re-directs ending in 404 error
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.
Sin duda son muchos, quizás algunos conozcas y otros te enteras ahora pero ten en cuenta que Optimizar webs para SEO es un trabajo de mucha paciencia, como mencionaba en La línea del tiempo SEO, es una suma de factores y acá tienes una lista más que abundante para controlar en tus webs.
Fuente:
http://www.jorgeoyhenard.com/
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