<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="https://onwar.se/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="https://onwar.se/feed.php">
        <title>Onwards - community-driven_learning_in_ai_search_optimization</title>
        <description></description>
        <link>https://onwar.se/</link>
        <image rdf:resource="https://onwar.se/lib/exe/fetch.php?media=wiki:dokuwiki.svg" />
       <dc:date>2026-10-01T12:06:34+00:00</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="https://onwar.se/doku.php?id=community-driven_learning_in_ai_search_optimization:how&amp;rev=1790843602&amp;do=diff"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="https://onwar.se/lib/exe/fetch.php?media=wiki:dokuwiki.svg">
        <title>Onwards</title>
        <link>https://onwar.se/</link>
        <url>https://onwar.se/lib/exe/fetch.php?media=wiki:dokuwiki.svg</url>
    </image>
    <item rdf:about="https://onwar.se/doku.php?id=community-driven_learning_in_ai_search_optimization:how&amp;rev=1790843602&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-10-01T08:33:22+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>how</title>
        <link>https://onwar.se/doku.php?id=community-driven_learning_in_ai_search_optimization:how&amp;rev=1790843602&amp;do=diff</link>
        <description>The gap becomes obvious once you try to answer a client&#039;s question directly: “why did ChatGPT recommend our competitor instead of us?” Traditional rank-tracking tools don&#039;t capture that. Understanding it requires knowledge of retrieval mechanisms, embeddings, and how a model&#039;s training and retrieval-augmented generation layers interact with fresh web content. This is precisely the territory where answer engine optimization, or AEO, diverges from legacy SEO thinking, treating the model&#039;s citation…</description>
    </item>
</rdf:RDF>
