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

🚨 AI Top Story: Google and OpenAI are no longer just building tools — they’re battling to become the web’s default interface.

🎯 AI Tool Of The Week: A free to use Super Agent combining 80+ tools to handle research, strategy, and real-world tasks.

📊 One Quick AI Hack: Turn Genspark into a competitive intel machine — download and analyse files, content, and social posts from top competitors without touching a spreadsheet.

🌟 Creator Spotlight: Lenjoy Lin—Genspark co-founder, showcasing the platform’s new ‘Slides Agent’.

Google vs. OpenAI: The Fight for Search

Both Want To Be Your Default

As OpenAI continues turning ChatGPT into a viable alternative to search, Google is making moves to protect its territory. This week’s I/O event made that intent clear.

Google I/O - the company’s annual developer conference - is usually a showcase for product updates, developer tools, and glimpses of what’s coming next.

This year felt different. It wasn’t just about shipping features. It was an attempt to reassert control. A reminder, or at least a signal, that they still intend to own the infrastructure of the web.

At I/O 2025, Google rolled out a coordinated set of updates across Search, Ads, Workspace, and creative tools - all powered by its fast-evolving Gemini AI model.

Behind the announcements was a clear message: Google isn’t just adding AI into its products. It’s rebuilding the foundation of its ecosystem around it.

The updates aren’t isolated. They’re all pointing toward a platform that’s more automated, more predictive, and more closed. Google is removing steps from the user journey, making answers immediate, decisions automatic, and workflows increasingly handled in the background. It’s doing what OpenAI can’t yet - scaling a real-time AI layer across every surface people touch every day.

Search is being rebuilt. Traditional results are taking a back seat to AI-generated answers, presented directly to the user with less emphasis on external links. Campaigns are becoming more automated, as Google leans harder into models that handle copywriting, targeting, and optimisation internally.

These aren’t just product upgrades. They’re structural changes. Google is tightening the loop. Less friction. Fewer clicks. More decisions handled automatically - and mostly invisibly.

For users, it feels seamless. For marketers, it shifts the balance of control.

The familiar levers like SEO tactics, bid strategies, content placement - are starting to fade into the background. The machine is making more of the calls. That’s efficient, but it’s also a reminder: we’re not operating the platform anymore. We’re operating within it.

It’s still early, but the direction is obvious. AI isn’t just powering parts of Google’s stack. It’s becoming the system itself.

We’ll be breaking down the practical implications in upcoming editions. From how to structure content for AI-first search, to how to adapt performance marketing strategies in a more automated, closed-loop ecosystem.

🧠 Google launches AI Mode, marketers ponder impact - Google’s new AI Mode replaces traditional search results with AI-generated summaries, raising real questions about visibility, attribution, and how brands will compete for attention in a world with fewer clicks.

🧭 Our vision for building a universal AI assistant - This piece outlines Google’s long-term plan to make Gemini a proactive, real-time assistant that can understand context across apps, inputs, and environments.

🛒 Google will let you ‘try on’ clothes with AI - A new visual shopping tool lets users see how clothes fit on a diverse range of AI-generated models, signaling a bigger push into immersive, conversion-focused e-commerce experiences.

🕶️ Google is bringing real-time AI camera sharing to Search - Live AI camera input — branded as “Project Astra” — lets users point their phone at the real world and ask questions about it, introducing a whole new surface for search outside the browser.

📱 Gen Z, TikTok and AI: The Future of Personalized Marketing - This piece explores how AI-driven personalization, paired with Gen Z’s TikTok-native behavior, is redefining brand discovery, content cadence, and campaign targeting in real time.

🎯 The Artificially Intelligent Enterprise - Troubleshoot Anything with ChatGPT

☕ AI Tangle - Microsoft Brings xAI's Grok 3 to Azure & More During Build 2025

Genspark: Search With a Built-In AI Assistant?

Genspark is an AI-native platform designed to help you find, understand, and act on information — without jumping between tabs or tools. It’s best known for its Sparkpages: clean, cited summaries generated in real time, replacing the need to skim a dozen search results.

But search is just the start.

At the core of Genspark is its Super Agent — a general-purpose AI that coordinates multiple large language models and over 80 specialised tools. It can plan trips, conduct deep research, generate full reports, build interactive tools, and even make phone calls on your behalf. It’s like giving your questions a project manager.

Why It’s Useful

For marketers, it’s a powerful blend: fast access to reliable answers, plus the ability to delegate complex research, creative development, or operational tasks — all within a single interface. Whether you’re validating a campaign idea, building a strategy doc, or just need to pull insights in a hurry, Genspark reduces the friction between thinking and doing.

Key Features:

Sparkpages: Cited, AI-generated answers across any topic

Super Agent: Executes advanced tasks with multi-model coordination

Real-World Actions: Call businesses, book services, interact with websites

No Ad Noise: A cleaner experience built for outcomes, not clicks

Pricing:

• Free: Unlimited searches + limited agent access

• Plus ($24.99/month): Priority access to Super Agent and advanced tools.

👉 Explore Genspark

Use Genspark AI agents To Gather Comprehensive Competitive Intelligence

The Process

1. Automated Content Collection: With a single prompt like "Download all case studies from our top 5 competitors' websites and organize them by industry," the Download Agent can:

   Search for and identify relevant competitor case studies

   Download all files (PDFs, presentations, images)

   Automatically organize them into logical folders in Genspark AI Drive

   Handle all file types including PDFs, videos, images, and Office documents
   

2. Social Media Competitive Analysis: Marketers can use commands like "Download all videos from [Competitor]'s TikTok account from the past 3 months" to gather competitive social media content for analysis.

3. Research Paper Aggregation: With the prompt "Download all papers mentioned in this LinkedIn thread about [industry trend]," marketers can instantly collect industry research without manually hunting for each document.

Integration with Analysis Features

What makes this particularly powerful is how the downloaded content can then be analysed using Genspark's Super Agent:

Automated Summary Reports: After downloading competitor content, marketers can prompt: "Summarise these 15 competitor case studies and identify common themes, value propositions, and unique selling points"

Content Gap Analysis: "Compare our blog topics with these downloaded competitor articles and identify content gaps we should fill"

Visual Asset Analysis: "Analyse these competitor social media images and identify visual trends and engagement patterns"

Market Research Synthesis: "Create a comprehensive report from these downloaded industry papers highlighting key trends relevant to our product category"

LENJOY LIN - Genspark co-founder showcases the platform’s new Slides Agent. An AI tool that turns messy docs, data, and ideas into polished slide decks in minutes.

Only for the right price…