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RateItAll: Products, Chronology & Competitors
RateItAll is a consumer-review website that also incorporates social networking. Consumers review diverse products and services, share information, and get paid modestly for their reviews. Its reviews include a five-star ranking system for those items being rated. It is one of the largest consumer-review internet based services, offering free access to…
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RateItAll topic overview
The analysis highlights Products, Chronology and Competitors as prominent areas in the source structure around RateItAll.
Related topics
24
Source areas
4
Connected nodes
28
Extracted relationships
100
Concept neighborhoods
12
Bridge connections
28
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Chronology · 12 topics
Competitors · 7 topics
Overview · 3 topics
Business model · 2 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
1999
Industry
website
Headquarters
San Francisco, California, USA
Key people
Lawrence Coburn (CEO)
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How RateItAll connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around RateItAll shows recurring relationship patterns in the source. For example, RateItAll → CBS, Coburn, Compete, December, In, In February, In January, Internet, It's, Kraft Foods, Lawrence Coburn, Mr, MuseStorm, MySpace, On RateItAll, PC Magazine, PriceGrabber, Quantcast, RateItAll CEO Lawrence Coburn, RateItAll's Another extracted example is RateItAll → Accordingly, Amazon, Another, Any, CarREVIEW, CentreReviewFinder, ComputingREVIEW, Consumer Reports, ConsumerREVIEW, ConsumerSearchReview, Deja, Epinions, GolfREVIEW, In, Make Five, MtbREVIEW, One, Open Ratings, Other, OutdoorREVIEW. Use these groups to spot repeated connection types before inspecting the individual relationships.
RateItAll
Top relations
related to Chronology· 29
RateItAll → CBS, Coburn, Compete, December, In, In February, In January, Internet, It's, Kraft Foods, Lawrence Coburn, Mr, MuseStorm, MySpace, On RateItAll, PC Magazine, PriceGrabber, Quantcast, RateItAll CEO Lawrence Coburn, RateItAll's
related to Competitors· 29
RateItAll → Accordingly, Amazon, Another, Any, CarREVIEW, CentreReviewFinder, ComputingREVIEW, Consumer Reports, ConsumerREVIEW, ConsumerSearchReview, Deja, Epinions, GolfREVIEW, In, Make Five, MtbREVIEW, One, Open Ratings, Other, OutdoorREVIEW
related to Business model· 13
RateItAll → Accordingly, Google, Google's AdSense, In, Internet, Lawrence Coburn, Reviewers, San Francisco, Since, Such, The, The Internet, This
Founded· 1
RateItAll → 1999
Headquarters· 1
RateItAll → San Francisco, California, USA
Industry· 1
RateItAll → website
Key people· 1
RateItAll → Lawrence Coburn (CEO)
Website· 1
RateItAll → www.rateitall.com
is a· 1
RateItAll → consumer-review website that also incorporates social networking
related to External links· 1
RateItAll → RateItAll Press Room
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 100 structured relationships around RateItAll. Examples in this analysis include RateItAll → Founded → 1999 and RateItAll → Headquarters → San Francisco, California, USA. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
RateItAll
Founded
1999
1.00
infobox
RateItAll
Headquarters
San Francisco, California, USA
1.00
infobox
RateItAll
Industry
website
1.00
infobox
RateItAll
Key people
Lawrence Coburn (CEO)
1.00
infobox
RateItAll
Website
www.rateitall.com
1.00
infobox
RateItAll
is a
consumer-review website that also incorporates social networking
0.90
text
consumer products
instance of
RateItAll lets users rate a wide variety of things
0.80
text
services
instance of
RateItAll lets users rate a wide variety of things
0.80
text
movies
instance of
RateItAll lets users rate a wide variety of things
0.80
text
people
instance of
RateItAll lets users rate a wide variety of things
0.80
text
politics
instance of
RateItAll lets users rate a wide variety of things
0.80
text
travel
instance of
RateItAll lets users rate a wide variety of things
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around RateItAll bring nearby vocabulary together. In this analysis, examples include Ratings, Also and Coburn. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
RateItAll
Ratings
Also
Coburn
Interactive
Web
Lists
People
Site
Website
One
Lawrence
Users
rateitall
Ratings
Also
Coburn
Interactive
Web
Lists
People
Site
Website
One
Lawrence
Users
epinions.com
Well
One
Competitors
Include
Lawrence
Sites
Reviews
List
Networking
Products
Social
Key
consumer reports
Services
Ratings
One
Free
List
Products
Competitors
Interactive
Key
Lawrence
Users
Rateitall
angie's list
Ceo
Networking
Share
Since
Social
According
Lawrence
Web
Epinions
Lists
People
Services
competitors
Key
Epinions
Com
One
Ceo
Products
Well
Include
Lawrence
Users
Consumer
People
business model
Key
One
Ceo
Well
According
Competitors
Lawrence
People
Site
Website
Coburn
Com
business analyst
Key
One
Ceo
Well
According
Competitors
Lawrence
People
Site
Website
Coburn
Com
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For RateItAll, one of the stronger structural bridges in this analysis connects RateItAll with Chronology. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
RateItAll
Nodes29
Edges28
Triples100
Avg. degree1.93
Density0.068966
Components1
Source & methodology
TTTA analyzes the structure around RateItAll to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Chronology & Competitors, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
