Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

🚨 AI Top Story:Google’s AI-first future is here — and organic reach might not survive it.

🎥 YouTube Resource Of The Week: A deep dive into how Google want you to start treating the search engine

🎯 One Quick AI Hack: How to update and erase ChatGPT’s memory

🌟 Creator Spotlight: Hassan Bin Arshad on using ChatGPT o3’s new agentic powers to build viral posts, visuals, & full campaigns

Why Organic Reach Is Getting Harder To Achieve

Why Google Search Is Falling Apart

There was a time when Google Search was basically the front page of the internet. Want to fix your faucet? Google it. Need a rug size guide? Google had your back. But lately, something’s shifting, and it’s not just the layout.

Over the last couple of years, Google’s been quietly rolling out big changes, many of them powered by generative AI. At the heart of it is “AI Overviews,” a feature that now answers your question right at the top of the page. No more digging through blogs, no more listicles. Just the answer. Sort of.

This didn’t happen overnight. Back in 2021, some Googlers actually pitched a chatbot-style search experience. Leadership passed, worried it would mess with their ad business. Then ChatGPT dropped. Built on Google’s own transformer tech, it basically did what Google was afraid to do; answer questions cleanly, with no ads, no mess. And users loved it.

Fast-forward to today, and it’s clear that ChatGPT lit a fire. Google’s moved over 1,000 engineers to focus on AI search features, launched a full-blown “AI Mode,” and put longtime Googler Elizabeth Reid in charge of transforming its core product. Now, search is evolving into something more conversational, more visual, and in Google’s own words, more “ever-present.” You’re not just searching, you’re chatting with an all-knowing assistant.

But here’s where it gets tricky: the web kind of runs on Google. And if Google stops sending traffic out to blogs, media sites, online stores - that entire ecosystem starts wobbling. Publishers are already seeing traffic drops, some feeling like they’re being ghosted by the algorithm. Their content shows up in AI answers, but users never click through. Google gets smarter, and smaller sites pay the price.

The weird part is that while AI makes everything feel faster and more convenient, it also risks flattening the internet into something kind of bland and recycled. What happens to the bloggers, reviewers, and niche experts when the AI summarises their work and keeps the traffic?

Google says it’s working on it. It’s hosting meetings with content creators, trying to find middle ground. But one message stood out - don’t expect traffic to bounce back. Search has changed, and it’s not going back.

This is one of those moments where the internet is clearly shifting under our feet. As marketers, it’s worth watching not just how people search, but how they find. The biggest battles aren’t about rankings anymore - they’re about visibility in a world where your audience might never leave the results page.

📜 AI companies claim existing rules can govern agentic AI - Big players argue that today’s laws and policies are enough to handle the rise of agentic AI—despite growing concerns.

⚡ Google launches Gemini 2.5 Flash in preview, enhancing AI speed, reasoning, and cost efficiency - The new Gemini model is built for speed and efficiency, offering leaner reasoning power ideal for tools like AI agents and real-time applications.

🔍 BrowseComp: a benchmark for browsing agents - BrowseComp is a new benchmark that puts AI browsing agents to the test, simulating real tasks like shopping, research, & comparison.

💼 How AI Agents Are Changing Recruitment - From automating outreach to screening candidates, AI agents are starting to reshape how companies hire

Get Smarter from Every Sales Call With Gong

Gong is an AI-powered platform that helps sales and marketing teams figure out what’s actually working in their customer conversations, and what’s not.

It records and analyses calls, emails, and meetings, then pulls out insights about how deals are progressing, what top reps are doing differently, and where messaging might be falling flat. Basically, it’s like having an AI coach sitting in on every sales call, turning all that chatter into data you can act on.

Marketers love it too. You can hear how your messaging lands in real conversations, understand objections in real time, and spot patterns that help tighten up positioning or improve campaign targeting.

Great for teams who want to stop guessing and start learning directly from the voice of the customer.

Why we like it:

✅ Real-time call analysis & transcriptions
✅ Identifies winning patterns across your pipeline
✅ Helps align marketing + sales messaging
✅ Tracks keywords, objections, and competitor mentions
✅ Makes revenue forecasting way more grounded

Click here to check out Gong.io now!

HASSAN BIN ARSHAD - Using ChatGPT o3’s new agentic powers to build viral posts, visuals, & full campaigns

A deep dive into how Google want you to start treating the search engine

Set It and Forget It on ChatGPT

You’re probably not using ChatGPT’s memory to its full potential.

Here’s how to actually train it to remember specific preferences—so you can get faster, better responses, every time.

Want it to always reply in a certain style?
Or follow a rule for one specific type of prompt?
Just copy and paste this:

To update memory, prompt:

## MEMORY_WRITE
Fact: “[what you want exactly]”
Purpose: “[in which context you need it]”
## END

– To Erase The Memory, prompt

Forget the following instruction stored in your memory:

## instructions to delete

## MEMORY_WRITE
Fact: “[what you want exactly]”
Purpose: “[in which context you need it]”
## END