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	<title>Comments on: Forbes&#8217; Top 10 Earning CEO&#8217;s Reputations</title>
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		<title>By: Rhea Drysdale</title>
		<link>http://outspokenmedia.com/reputation-management/forbes-top-10-earning-ceos-reputations/#comment-124299</link>
		<dc:creator>Rhea Drysdale</dc:creator>
		<pubDate>Thu, 07 Feb 2013 02:32:46 +0000</pubDate>
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		<description><![CDATA[Hey Anthony, thanks for the comments and ideas. Might have to go further with the Ralph Lauren piece. It&#039;s certainly a unique perspective on branding--use your own name! But what happens when someone wants to buy the company? Are you still entitled to that name? So many considerations and ORM is just one of them. 

We&#039;ll go deeper. :)]]></description>
		<content:encoded><![CDATA[<p>Hey Anthony, thanks for the comments and ideas. Might have to go further with the Ralph Lauren piece. It&#8217;s certainly a unique perspective on branding&#8211;use your own name! But what happens when someone wants to buy the company? Are you still entitled to that name? So many considerations and ORM is just one of them. </p>
<p>We&#8217;ll go deeper. :)</p>
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		<title>By: Anthony Pensabene</title>
		<link>http://outspokenmedia.com/reputation-management/forbes-top-10-earning-ceos-reputations/#comment-123298</link>
		<dc:creator>Anthony Pensabene</dc:creator>
		<pubDate>Fri, 25 Jan 2013 14:57:14 +0000</pubDate>
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		<description><![CDATA[creative approach to topic/google suggest - nice

&quot;at no point did anyone’s name appear beside the keywords of “scandal,” “fraud,” “scam,” “affair,” “arrest,” “lawsuit,” “doping,” “doping evidence,” etc&quot;

be interesting maybe to couple those terms with names using the &quot;*&quot; ex: [ralph lauren * scandal] - it&#039;s supposed to pick up relationships between words separated by a few words in text ..

&quot;The only difficulty Ralph Lauren might have with his search results is getting users to find information relevant to him versus the company itself.&quot; - love to read a post about that..

One other idea to add a wrinkle is toying with ubbersuggest. you can then filter through web, image, etc. searches to see if that introduces variations and more tangents to explore.]]></description>
		<content:encoded><![CDATA[<p>creative approach to topic/google suggest &#8211; nice</p>
<p>&#8220;at no point did anyone’s name appear beside the keywords of “scandal,” “fraud,” “scam,” “affair,” “arrest,” “lawsuit,” “doping,” “doping evidence,” etc&#8221;</p>
<p>be interesting maybe to couple those terms with names using the &#8220;*&#8221; ex: [ralph lauren * scandal] &#8211; it&#8217;s supposed to pick up relationships between words separated by a few words in text ..</p>
<p>&#8220;The only difficulty Ralph Lauren might have with his search results is getting users to find information relevant to him versus the company itself.&#8221; &#8211; love to read a post about that..</p>
<p>One other idea to add a wrinkle is toying with ubbersuggest. you can then filter through web, image, etc. searches to see if that introduces variations and more tangents to explore.</p>
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