A Review of Firefox’s KGen Tool
The KGen Tool is a plug-in compatible with the Firefox Mozilla web browser. KGen is essentially a keyword analyzing tool that has several helpful features that let you scan a webpage’s written content and categorize it in line with different criteria. This is helpful for when you want to research a competitor’s website to work out what keywords they are targeting or when you would like to test your own website to work out that it’s the correct keyword densities.
Using the Tool
You’ll access the KGen tool by following the…um… following path: Read>Sidebar>KGen. You’ll also add the KGen tool as a button to your Firefox browser’s toolbar. Just click on View on the browser and head to Toolbars>Customize. When the Customise box pops up, simply explore for the KGen icon and drag and drop it into the toolbars box.
But you select to do it, once you open KGen it will appear as a sidebar on the left hand side of the browser. You’ll begin scanning any page by merely clicking the “Scan It!” button. It’ll take a few seconds for the results to look in the panel on top of the Scan It! button. The results will be displayed in eight different tabs.
The one factor that’s a disadvantage, albeit a little one, on the KGen tool is that it scans each single word on a webpage in the same precise fashion. This suggests you may must manually sift through all the prepositions and conjunctions on the list to urge the info on the actual keywords you’re wanting out for. It’s solely a minor inconvenience, but it’s one thing that future versions of the plug-in could improve upon.
As mentioned, the data scanned is displayed via eight tabs. Some of the helpful ones include the “Lists” tab, which shows keyword position consistent with weight and frequency. The “Stats” tab lets you know the entire variety of words and characters on a page, along with word frequencies displayed as percentages and alternative possibly useful statistical data. The “Choices” tab is especially helpful as it enables you to set, or limit, the parameters of the results displayed, so you’ll be able to exclude words that are less than a bound length among alternative criteria.
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