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    <title>AI rank tracking or keyword rank tracking? Write the brief first</title>
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    <pubDate>Fri, 02 Oct 2026 07:05:00 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>AI Visibility</category>
    <description>A buying brief and two scorecards to help you choose software without confusing a search position with an AI recommendation.</description>
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    <title>How to use brand sentiment analysis without losing the context</title>
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    <pubDate>Fri, 25 Sep 2026 06:37:24 GMT</pubDate>
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    <category>Social Listening</category>
    <description>A negative label tells you where to look. Reading the conversation tells you what needs to happen next.</description>
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    <title>How to track PR coverage and reactions with social listening</title>
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    <pubDate>Fri, 25 Sep 2026 06:37:24 GMT</pubDate>
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    <description>An announcement going live is the beginning. Follow who picked it up, what people understood and which questions your team needs to answer.</description>
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    <title>Reputably vs Buska: which fits a local business or agency?</title>
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    <pubDate>Fri, 25 Sep 2026 06:37:24 GMT</pubDate>
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    <description>Both tools help you find buying conversations. The choice depends on what else your team needs to do once a useful conversation turns up.</description>
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    <title>An agency social listening workflow your clients can act on</title>
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    <pubDate>Wed, 23 Sep 2026 14:38:00 GMT</pubDate>
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    <description>Finding a request is only the first step. Give each client a clear owner, enough context to respond and a record of what happened next.</description>
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    <title>Which social listening tool fits a local service business?</title>
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    <pubDate>Wed, 23 Sep 2026 14:38:00 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>Social Listening</category>
    <description>A national conversation can look like a lead until you check the address. Here’s how to choose a tool for the jobs you can actually take.</description>
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    <title>How to run a fair AI visibility test across answer engines</title>
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    <pubDate>Tue, 22 Sep 2026 02:08:05 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>AI Visibility</category>
    <description>A repeatable test protocol for prompts, clean context, citations, missing answers and changes to your website.</description>
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    <title>How much does social listening cost? Compare the whole workflow</title>
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    <pubDate>Tue, 22 Sep 2026 02:08:05 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>Social Listening</category>
    <description>A practical budget worksheet for comparing signals, keywords, seats, source coverage and the time spent reviewing results.</description>
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    <title>How to measure ROI from social listening leads</title>
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    <pubDate>Tue, 22 Sep 2026 02:08:05 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>Local Lead Generation</category>
    <description>Measure the path from a useful conversation to paid work, including the cost of review time and the limits of attribution.</description>
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    <title>How to turn AI fan-out queries into better website content</title>
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    <pubDate>Wed, 16 Sep 2026 04:00:00 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>AI Visibility</category>
    <description>A practical workflow for turning disclosed searches into page improvements, with an example from Reputably’s own tracking.</description>
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    <title>What ChatGPT and Claude searched in 160 tracked answers</title>
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    <pubDate>Wed, 16 Sep 2026 04:00:00 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>AI Visibility</category>
    <description>A seven-day observation of Reputably’s own tracker: what the engines searched, what they cited and where the evidence stops.</description>
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    <title>Social listening for local businesses: a practical field guide</title>
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    <pubDate>Tue, 28 Jul 2026 23:00:00 GMT</pubDate>
    <dc:creator>Reputably Editorial</dc:creator>
    <category>Social Listening</category>
    <description>A practical framework for turning public recommendation requests into relevant local opportunities while keeping the response human.</description>
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