GEO Explained: How to Optimize Content for AI Search

Discover how to make your content stand out in AI-generated search results. This guide to GEO explains how to structure your pages for visibility in tools like ChatGPT, Google AI Overviews, and Perplexity. Learn the difference between GEO and SEO, and how to future-proof your content for large language models...

How I Use AI to Use AI Better

One of the most genius tricks I’ve tried this year is to first ask AI how to better ask it how to do something, before I ask it to do something. Slight tongue-twister, but it does sound simple, right? But this genius small shift in approach can lead to dramatically...

🕵️‍♀️ How to Tell If Something Was Written by AI

As AI-generated content becomes more common, knowing how to recognize it is becoming a valuable skill. In this post, we explore the subtle signs that give AI writing away—from overly polished grammar to a lack of real-world insight—and share tips to help you read between the (machine-written) lines.

Real Estate Agent Recruitment Trends in 2025

In 2025, real estate brokerages are transforming their recruitment strategies to attract top real estate agents. Discover how MNKY.agency is leading the way with innovative approaches, including omnichannel recruitment, AI optimization, and data-driven strategies. Learn about the latest trends in virtual brokerages, training programs, DEI initiatives, and technology integration. MNKY.agency's...

Should You Use AI Images in Your Content? (I Tried It)

I recently experimented with using AI art in my blog posts and uncovered some surprising pros and cons. From copyright concerns to potential SEO impacts, this post explores the exciting possibilities and lingering questions surrounding AI images in content creation. Join the conversation and share your thoughts!

The Turing Test: Still Relevant in the Age of AI?

Despite its age, the Turing Test still sparks debate about whether machines can truly think and the ethical implications of today's advanced AI. Alan Turing, the father of computer science, proposed a deceptively simple test in 1950: if a machine could converse so convincingly that a human couldn't distinguish it...