or Call 1–888–SEMLOGIC (736–5644)
: : : SEMLogic™ Demo
SEMLogic™ is Fortune Interactive's proprietary technology, which addresses challenges posed by Latent Semantic Indexing (one of many semantic analysis methods that search engines use) to analyze a company's online competition and determine the most influential related words.
SEMLogic™ produces intelligence that enables Fortune Interactive to build and greatly enhance the content of a client's web site. This improves a web site's visibility on search engines and generates significantly increased traffic.
: : : Competitor Analysis
One of the many things SEMLogic™ allows us to measure is how well a site's competition uses important supporting terms relevant to a particular search phrase.
| Statistics for keyphrase relevancy scores of top 50 results for "ipod": | |
| Minimum | 0.05 |
| Maximum | 0.39 |
| Mean | 0.25 |
| Median | 0.25 |
| Mode | 0.00 |
| Variance | 0.01 |
| Standard Deviation | 0.08 |
| Frequency Distribution for keyphrase relevancy scores of top 50 results for "ipod": | |
| Score Range | Percentage |
| 0.08058 | 2.63% |
| 0.11456 | 2.63% |
| 0.14854 | 7.89% |
| 0.18252 | 10.53% |
| 0.2165 | 13.16% |
| 0.25048 | 13.16% |
| 0.28446 | 7.89% |
| 0.31844 | 18.42% |
| 0.35242 | 10.53% |
| 0.3864 | 13.16% |
SEMLogic stores the relevancy information of all the competition as an n-dimensional mathematical model which reveals how each competing page compares with all the others. Multi-dimensional scaling has been used to reduce this model to a 3-D representation depicted in the figures below.
The frequency distribution table shows the relevancy scores to be fairly evenly distributed. This is confirmed visually by the distribution of points in the images below. They appear evenly dispersed across the X - axis and Y - axis. They also seem evenly dispersed above and below the colored contour mapping. This means that the competition for relevancy between these documents is not especially fierce and, therefore, it will not be too difficult to beat the competition. If the competition was more difficult, that would require using supporting terms from more levels of relevancy and possibly more terms within the same level of relevancy.
(The series of images below appear in the following order: 3-D Scatter plot, 3-D Scatter plot with contour, 3-D Scatter plot with contour from above, 3-D scatter plot with contour from below, and then an Interactive VRML version of the graph.)
3-D Scatter Plot
Figure 1.
3-D Scatter Plot with Contour
Figure 2.
3-D Scatter Plot with Contour (from above)
Figure 3.
3-D Scatter Plot with Contour(from below)
Figure 4.
Figure 5. - Interactive VRML version
: : : Supporting Terms Relevancy
One of the most important elements of optimization is properly supporting your keyphrase(s) with relevant supporting terms. SEMLogic™ allows us to ascertain what the most important supporting terms are for any keyphrase. Our SEO technicians and professional writers then use these terms strategically throughout the content of a document. The images below illustrate a small subset of supporting terms relevant to the keyphrase 'ipod'. Each red dot represents a supporting term. The closer the dot is to high values on the X - axis and high values on the Y - axis, the higher the relevancy of the supporting term. The axes correspond to 3 important relevancy metrics.
- X - axis: the raw keyphrase relevancy (theme) score
- Y - axis: a score that measures a proprietary form of cooccurence relevancy
- Z - axis: a probablistic cluster importance score
The subset of words used in the graphs below are : apple, audio, back, buy, car, case, color, computer, content, digital, display, download, files, free, full, gb, high, html, ipod, ipods, itunes, mac, made, make, mini, music, nano, news, october, os, page, photo, play, player policy privacy product quality screen shuffle size, softwarestart, store, support text, time, version video, and world.
The order of importance within this subset of terms is roughly: ipod, apple, october, itunes, video, music, color, nano, size, text, mac, software, version, news, time, ipods, gb, player page, start, os, computermini, photo, content, store, audio, screen, support, digital, play, shuffle, download, files, product, case, quality, free, make, buy, world, full, display, html, car, high, back, privacy, made, and policy.
3-D Scatter Plot
Figure 6.
3-D Scatter Plot with Contour
Figure 7.
3-D Scatter Plot with Contour (top view)
Figure 8.
3-D Scatter Plot with Contour (bottom view)
Figure 9.
Figure 10. - Interactive VRML version
: : : Examining the competition
It is important to know how your competition is using relevant supporting terms. Below is an example of a top ranking page for "ipod" with supporting terms highlighted. The terms selected for examination are: audio, buy, digital, download, file, ipod, itunes, mac, player, players, and privacy.
The colors of the highlighting correspond to various relevancy scores for the word highlighting. You can click on the link or the image to see the page in full.
At the time this report was produced, the document relevancy for the page in this example was 0.3535, very high within the distribution. The page was ranked #2 in Google™ for the keyphrase 'ipod'.
http://www.fortuneinteractive.com/ipod_example.html
Figure 11.
Figure 12. shows the relative position within the cluster of our example document, with relevancy score 0.3535 and rank #2 in Google™ for the search term 'ipod'. It's coordinates are X = 0.211, Y = -0.544, Z = -0.347. Documents with higher relevancy scores will be positioned closer to the origin of the axes, as is the case with our example.
3-D Scatter Plot Annotated
Figure 12.