<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>prompt engineering on Journal Marketing</title><link>https://journal-marketing.fr/en/tags/prompt-engineering/</link><description>Recent content in prompt engineering on Journal Marketing</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 20 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://journal-marketing.fr/en/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Best ChatGPT Prompt: The Structure That Works</title><link>https://journal-marketing.fr/en/blog/best-chatgpt-prompt/</link><pubDate>Thu, 20 Aug 2026 00:00:00 +0000</pubDate><guid>https://journal-marketing.fr/en/blog/best-chatgpt-prompt/</guid><description>&lt;p&gt;Finding the &lt;strong&gt;best ChatGPT prompt&lt;/strong&gt; is not about hunting down a single magic formula, but about applying a repeatable structure. A well built request reduces back and forth with the tool and increases the odds of getting a usable answer on the first try. This article breaks down that structure, offers concrete examples for digital marketing, and lists the mistakes that most often cause a prompt to fail.&lt;/p&gt;</description></item></channel></rss>