<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Real-Time-Retrieval on AI White Label - White Label AI Marketing for Agencies</title><link>https://blog-aiwhitelabel.pages.dev/tags/real-time-retrieval/</link><description>Recent content in Real-Time-Retrieval on AI White Label - White Label AI Marketing for Agencies</description><generator>Hugo -- 0.157.0</generator><language>en</language><lastBuildDate>Wed, 22 Apr 2026 08:00:00 +0200</lastBuildDate><atom:link href="https://blog-aiwhitelabel.pages.dev/tags/real-time-retrieval/index.xml" rel="self" type="application/rss+xml"/><item><title>Real-Time Retrieval vs Training Data: Why Perplexity Cites Different Sources Than ChatGPT in 2026</title><link>https://blog-aiwhitelabel.pages.dev/posts/real-time-retrieval-vs-training-data-why-perplexity-cites-different-sources-than-chatgpt-2026/</link><pubDate>Wed, 22 Apr 2026 08:00:00 +0200</pubDate><guid>https://blog-aiwhitelabel.pages.dev/posts/real-time-retrieval-vs-training-data-why-perplexity-cites-different-sources-than-chatgpt-2026/</guid><description>Perplexity cites different sources than ChatGPT because it prioritizes real-time retrieval from live web pages while ChatGPT relies more on training data and cached knowledge. Here is what agencies need to know about the technical differences that shape GEO strategy.</description></item></channel></rss>