AI in Marketing

By Amit Gupta · Senior Director, Marketing Operations · Published 14 June 2026

Guides in this section

• What Is an AI Humanizer? What these tools do to machine-written text and where they actually help.
• How Do AI Detectors Work? The signals classifiers look for, and why their verdicts are probabilistic rather than proof.
• Why AI Content Gets Flagged: Perplexity & Burstiness Explained The two statistical patterns behind most detection.
• What Is Answer Engine Optimization (AEO)? Structuring content so AI answer engines can quote it directly.
• AEO vs SEO: What's the Difference? How optimizing for answers differs from ranking blue links.
• What Is Generative Engine Optimization (GEO)? Earning mentions and citations inside generated answers.
• How to Get Cited by ChatGPT, Perplexity & Gemini Practical tactics for becoming a source these models pull from.
• LinkedIn Post Scorer: How It Works The signals that drive the score, and how to read it.
• What Makes a Good LinkedIn Post? Hooks, structure, formatting, and the patterns that earn engagement.
• AI Writing Humanizer: How to Use It A step-by-step workflow for editing AI drafts into your own voice.

Why it matters

AI now sits on both sides of marketing: it drafts your content, and it decides what readers ever see. Search is shifting from ten blue links to direct answers generated by ChatGPT, Perplexity, and Gemini, which means visibility increasingly depends on being quoted inside an answer rather than ranking below it. At the same time, detectors and editors are learning to spot generic machine text. The marketers who win treat AI as a first draft and a distribution channel. They write clearly, structure for citation, and add the specifics and point of view that both humans and answer engines reward.

Last updated: 14 June 2026