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Just fake it? š
...and a ChatGPT Tasks experiment

Hello marketers. Welcome to AI Marketing School, where we dish out the latest and greatest in AI-powered marketing.
This newsletter is in partnership with the AI Agents Summit (Sept 18-19, 2025) ā a brilliant event bringing together Microsoft, Meta, Salesforce, GitHub, and more to talk about whatās actually happening with AI agents in enterprise. Check it out here.
In this weekās issue:
AI Marketing Update: Grok for AI marketing
The Stack: A ChatGPT Tasks experiment
Industry Insight: AI fashion takes to the catwalk
Onwards!
AI MARKETING UPDATE
Just Grok it š§ š
People are saying that "Just Google it" will soon be replaced by "Just Grok it."
With the launch of Grok 3, Muskās AI company xAI is positioning its chatbot as a real-time search engine ā and, in his words, a āGoogle killerā (yes, weāve heard that before).
Alongside Grok 3ās improved reasoning and speed, Muskās team unveiled Deep Search, a feature that ditches traditional indexing in favor of real-time data fetching.
Musk is betting that Grokās dynamic search strategy can challenge Google's long-standing dominance.
And if the hype on X is any indication, the branding is working. One user wrote:
"My Grok history is now longer than my Google Search history.ā
@grok My Grok history is now longer than my Google Search history.
ā George (@BehizyTweets)
4:57 AM ⢠Mar 6, 2025
So, how does this actually work?
How Grok 3ās Deep Search works (And why itās different)
Traditional search engines like Google rely on a crawling, indexing, and retrieval system.
Their web crawlers systematically scan the internet, storing vast amounts of structured data in massive, distributed databases.
When you type in a query, Googleās algorithms match it against pre-existing indexed content, ranking results based on page authority, metadata, and user engagement signals.
Grok 3 does none of that.
Instead of maintaining a static index, Deep Search works dynamically, fetching information at the moment of a query. Musk himself describes it as "dynamic query-time retrieval.ā
Hereās what that likely means under the hood:
Live API Calls: Instead of sifting through an old database, Grok reaches out to real-time sources ā potentially through HTTP requests, Xās own API, or lightweight scraping mechanisms.
Intent-Driven Queries: Grok parses the query for meaning (likely with an xAI-fine-tuned transformer model) and builds a focused request targeting only the most relevant, recent data.
Real-Time Synthesis: Unlike Google, which retrieves and ranks links, Grok generates a synthesized response on the fly, discarding the data after serving it to you.
No Cached Indexing: Google stores years of data for deep recall. Grok does not. If a page or post disappears before you ask about it, Grok likely wonāt know it ever existed.
The trade-offs? Unlike Google, Grok doesnāt have years of backlogged search history to mine ā only whatās available right now.
So, itās very much oriented around current affairs.
Can Grok actually replace Google?
Does Grok 3 really have what it takes to dethrone Google?
Having tested Grok extensively, there are some clear advantages:
Speed & relevance: Real-time retrieval means answers may be fresher than Googleās cached search results.
Direct synthesis: Instead of ranking a list of links, Grok provides a summarized, conversational answer.
X Integration: If youāre searching for breaking news, trending topics, or live social discussions, Grok may already have an edge, since it directly taps into Xās firehose of posts.
But there are big challenges:
Reliability & accuracy: Unlike Google, Grok lacks a deep search index. If live data sources are inaccurate, so is the response. Itās susceptible to manipulation, probably.
Transparency: Googleās search results cite sources clearly; Grokās Deep Search does not always reveal where it pulled its information from.
Ad model & scalability: Right now, Grok is only available to Premium subs on X. Google Search is free, ad-supported, and backed by an advertising empire. If Grok goes mainstream, how will it make money?
We can see Grokās limitations with a simple prompt:
From this, we can see that, essentially, itās an LLM with a real-time data feed, unlike Google or ChatGPT with search.
Grokās real-time model has clear strengths, but it lacks Googleās decades of archived data, robust ranking algorithms, and deep search ecosystem. For now, the two seem to complement rather than replace each other.
From an AI marketing perspective, Grok is outstanding for finding X posts that you can add to blogs and articles, finding inspiration, tracking trends, etc.
Iāve got to say, the writing is superb, albeit unpredictable enough to be a true content writing tool vs the more controllable competition.
But thatās Grok for you!

AI agents are already changing enterprise workflows, but the big question isnāt just what they can do ā itās how businesses should be using them.
The AI Agents Summit (Sept 18-19, 2025) is a brilliant event bringing together leaders from Microsoft, Meta, Google, IBM, Adobe, and more to break down real-world use cases, integration strategies, and what actually works. If youāre thinking about AI adoption (or scaling what youāve got), this is worth tuning into.
Get the details here or register here!
THE STACK
A ChatGPT Tasks experiment š„¼
ChatGPT Tasks is great. It allows you to schedule tasks for ChatGPT to carry out independently of you.
Itās ideal for short tasks, e.g., locating the latest news or trends. But can it handle more complex tasks, such as writing a full blog?
The answer: sort of.
Hereās the prompt I attempted with Tasks. It draws on some themes weāve discussed in this newsletter many times, e.g,. removing overused AI terms and phrases.
Get the prompt here.


ChatGPT schedules in the task ā but youāve got to click on it and re-copy the entire prompt into the box. Thatās because, by default, ChatGPT paraphrases any prompt you give it.
So, click on the task box in the chat and re-copy the prompt in, check the time/date (these can be wrong) and save.

Copy the full prompt into the box
Hereās the result. So, it works pretty well, though it evidently ignored some of the instructions. You can ask it to rewrite it.

Tasks is definitely a useful tool for accelerating content and research workflows. While you could do all of this yourself manually, itās useful for creating a snapshot from a given time period.
Some other tested ideas:
Use research to make social media posts based on current info, delivered to your inbox
Find trending topics from Reddit/social media (hit or miss, though I have had good results finding very up-to-date information)
Tracing markets, investments ā this all works really well as thereās so much news available on these topics
You can give it specific URLs or brand names ā great for competitor intelligence

All of the provided links from āthe last weekā as requested

This can help you home in new ideas in your niche
From the above results, packaging into content or strategies with a follow-up prompt is pretty easy.
I reckon any marketer can get some value out of Tasks. Itās no extra cost for ChatGPT premium subs and is easy to use.
INDUSTRY INSIGHT
AI fashion in the highest echelons
What happens when an AI-generated fashion campaign goes viral ā and then lands its creator a deal with a luxury house?
Thatās exactly what happened to Sybille de Saint Louvent, a creative director whoās been using AI to craft stunningly realistic fashion campaigns.
Initially, she was producing speculative, self-initiated AI campaigns for brands like Prada, Jil Sander, and Miu Miu ā not as a stunt but as an exploration of AIās potential in luxury marketing.
Then Gucci noticed. On Feb. 25, she announced that Gucci had officially commissioned her to create a campaign exploring the theme of duality ā the same concept underpinning the brandās Fall/Winter 2025 collection.
The result is a dreamlike video featuring a woman staring into a mirror, only to see a manās back reflected.
Youāve got to say it looks cool ā I'm not sure what it has to do with fashion, but maybe thatās just me.
If you canāt beat āemā¦
This strikes as ironic. Luxury fashion has always been defined by giga-budgets ā million-dollar productions, A-list models, and meticulously crafted campaigns.
However, as AI-generated visuals become more refined, even high-end brands are starting to invest in the same technology that could one day democratize and disrupt their industry.
In this case, just slapping a logo over an AI-generated photo suffices. Other AI fashion campaigns are more identifiable as fashion.
AI-powered modeling
Beyond campaigns, AI-generated models are now replacing real ones.
Fashion company Mango has already phased out some human models from its campaigns, opting instead for AI-generated avatars. Their recent teen-focused campaigns featured entirely AI-generated figures, with disclaimers noting that the visuals werenāt real.
It doesnāt look too AI, but doesnāt look too real either. Moderate uncanny valley.
Meanwhile, Leviās has partnered with LaLaLand.ai to create custom digital models showcasing different skin tones, body types, and ages.
The company claims this will offer greater inclusivity, though critics argue that hiring real diverse models would be more meaningful.
Iām not sure āinclusivityā means much when the entity youāre giving an opportunity to is an AI modelā¦
Lalalandās AI models
Where does this leave AI marketing?
Itās clear that luxury brands are investing, fast-fashion retailers are streamlining, and marketing teams are adapting ā all with AI.
Whatās striking is that none of the above marketing campaigns are not particularly complex to execute. Style over substance.
Not long ago, I revealed a simple tool for making AI avatars, which gets you 90% of the way there.
If itās good enough for Gucci thenā¦
Hope you enjoyed this weekās issue. If you missed the last newsletter, you can read it here.
If you found it useful, please recommend it to a friend or colleague.
And donāt forget to check out the AI Agents Summit!
Until next time. Happy marketing.
āThe AI Marketer
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