KGen

Display the strongest keywords of a webpage for search engines.

What is KGen?

KGen is a Chrome extension designed to assist in website optimization. It scans a webpage's content, identifies the repeated words, and calculates their frequency and average position. It provides users with valuable stats to improve content quality and understand the keyword strategy of competitors. KGen is currently in its beta stage, and user feedback on performance and bugs is highly appreciated.

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Extension stats

By: Nicolas Froidure

View on Chrome Web Store

Users: 3,000+

Rating: 3.44 (9)

Version: 0.7 (Last updated: 2013-10-29)

Creation date: 2013-10-29

Risk impact: High risk impact

Risk likelihood: Low risk likelihood

Manifest version: 2

Permissions:

tabs
http://*/*
https://*/*

Size: 26.30K

Ranking

# 18673 ▼ 65

Other rankings

#3150 in Developer Tools ▼ 4

Other platforms

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

KGen retrieves every words of a page and lets you know how many time they appears and their weight in the page and their average position in the web page.

It give you some stats on the content of the page to allows you to improve your content quality. KGen's also a good tool to view your competitors keyword strategy.

KGen4Chrome 0.1 ->1.0 will be kind of "beta" extension. Please report any bug encountered !

User reviews

The depth of my disappointment at wasting my time with this one is close to the same disappointment I feel when a liars' pants don't actually catch on fire. It seems that the author of this doesn't know what a 'keyword' is. For educational purposes - a 'keyword' is a word you would consider using to describe the page you are looking at -- or to find the page from a SERP. So, the word 'and' for example is not a keyword, nor are words such as 'this', 'that', myself, blue, turned, or 'on'. Even though I'm quite sure those words were used much more than others, they are still not keywords and the information given to the user by this program is therefore useless.