Hype, Reality, and Real Case Studies

AI has infinitely sped up the hype cycle in advertising.

So when the time period “vibe advertising” got here onto the scene, you could have rolled your eyes for a second earlier than you mentioned, “I’ve to do this.”

In fundamental phrases, vibe advertising means utilizing AI to run whole advertising workflows. Normally, this includes a mix of:

• Vibe coding: No-code AI instruments the place you sort what you need (e.g., “Construct me a touchdown web page”), and the device spins it up
• AI brokers: All the time-on assistants that deal with background duties, like checking your inbox for leads or updating your CRM

And whether or not or not they take into account themselves “vibe entrepreneurs,” many groups are already doing this.

In a survey of promoting groups doing $100m+ in income, GrowthLoop discovered that greater than a 3rd of these groups use AI to optimize campaigns or predict buyer habits.

And people embedding AI into their processes report more practical methods.

So, is vibe advertising the subsequent wave of promoting methodology? Or simply extra AI hype?

On this information, we’re diving into real-world case research that present how entrepreneurs are utilizing AI of their each day workflows.

Plus, we’ll check the hype in opposition to actuality primarily based alone experiments and the angle of trade consultants.

Vibe Advertising vs. Conventional Advertising

With vibe advertising, issues like campaigns, segmentation, and competitor evaluation can occur within the background. So you may focus extra on inventive work and technique.

Right here’s the way it stacks up in opposition to conventional advertising:

This all sounds unimaginable, and it’s all technically potential for advertising groups at this time.

However right here’s the catch: AI workflows are nonetheless clunky and experimental.

Hootsuite studies that whereas 83% of entrepreneurs say their AI budgets have elevated, 4 in 10 firms waste at least
10% of their AI funds on instruments that didn’t ship.

So, what does vibe advertising appear like when it does work?

6 Examples of Vibe Advertising within the Wild

Vibe advertising can appear to be a imprecise idea.

However after we speak about utilizing AI to automate social listening workflows, comply with up with inbound leads, or run aggressive evaluation, abruptly this ambiguous idea takes on real-world that means.

We’ll see six examples of manufacturers utilizing vibe advertising of their each day workflows.

Plus, how one can copy these concepts into your personal technique.

1. Construct Enterprise-Degree Campaigns With out Reliance on Technical Groups

The largest slowdown in most campaigns isn’t the advertising work itself. It’s the watch for different groups to ship what you want.

On the job web site, Certainly, these delays stretched to a median of three.5 months per marketing campaign.

Even easy requests — like defining an viewers phase — meant analysts needed to pull knowledge from their warehouse. Then, engineers needed to reformat it earlier than advertising may use it.

With vibe advertising, the group broke that bottleneck.

They used the AI platform GrowthLoop to show uncooked buyer knowledge into ready-to-use segments.

Now, their group can sort a plain-English immediate (e.g. “nurses within the U.S. who searched jobs within the final 30 days however haven’t utilized”) and immediately generate that phase.

Launch occasions dropped from months to weeks — an 8x speed boost.

As an alternative of ready an entire quarter to get in entrance of job seekers, the group can now react to hiring wants in virtually actual time.

Strive It Your self:

Should you’re on an enterprise group already utilizing an information warehouse device, GrowthLoop’s makes it straightforward to sort a aim, generate audiences, and ship them instantly into campaigns.

Then again, let’s say you retain buyer knowledge in a CRM or spreadsheet — names, emails, latest purchases.

With a device like Clay, you may import these leads and use the built-in AI to complement them with extra knowledge.

Then, you may create campaigns that routinely exit primarily based on that enrichment.

For instance, when an organization has obtained funding within the final three months, they are often routinely added to a marketing campaign.

In seconds, you’ve bought an inventory prepared to focus on.

What makes this highly effective isn’t simply quicker knowledge entry.

It’s the AI layer that turns uncooked info into one thing advertising can really act on, with out ready on anybody else.

2. Automate Social Listening Workflows

Getting numerous mentions on social media is nice — till it isn’t. Some social media managers can spend hours each day sifting via feedback and posts that tag the model.

Extra than simply being a tedious job, that is fully unsustainable.

Which is strictly what Webflow’s two-person social group realized.

Between Reddit, X, YouTube, and boards, they confronted 500+ each day mentions. However solely a handful really wanted a human reply.

Discovering these few was like in search of needles in a haystack.

So, they constructed an AI workflow to do the sorting for them.

The system scans each point out, tags it by sentiment and urgency, and pushes the essential ones straight into Slack.

Out of 500+ each day posts, the group now sees simply 10–15 that matter most — and responds within the hour.

Strive It Your self:

Decide one high-volume channel — possibly Reddit, X, or perhaps a busy neighborhood discussion board.

Use a device like Gumloop or Apify to tug in mentions of your model. Then, run them via an AI categorizer to flag sentiment and urgency.

Begin small, examine the tags for accuracy, and solely then scale to different platforms.

3. Create On-Model Content material Belongings

Ever tried to show a 40-page technical doc right into a weblog publish or marketing campaign copy?

The content material is there, however shaping it into one thing clear — and in your model’s voice and magnificence — takes time.

At Pilot Firm, with a number of sub-brands and channels to handle, that problem multiplied.

Writers spent hours summarizing technical docs into usable briefs. Designers waited for copy that matched the precise tone earlier than prototypes may transfer ahead.

And inconsistencies crept in throughout manufacturers.

So, the group used Jasper to assist construct consistency in type and tone.

They used the device’s summarizer to condense lengthy technical paperwork into actionable outlines, and the brand-voice mannequin to maintain messaging aligned throughout sub-brands.

Designers may even pull real looking placeholder textual content with out ready on writers.

The consequence: Every group member saved 3–5 hours a week, liberating them up for technique and storytelling as an alternative of slogging via paperwork.

Strive It Your self:

With a device like Jasper, you may add particular directions about your model voice, viewers, and even embody supply materials to point out what nice content material seems like in your model.

Then, you should utilize it to create copy and content material for whole campaigns.

You may also use instruments like Notion AI, Claude, or ChatGPT to show lengthy documentation into marketing campaign content material.

Begin by inputting your model voice, type, audience, and another particulars that may be helpful. Then, add documentation and ask the AI to show it into particular items of content material.

Check the instruments to search out your favourite. Make certain to offer particular directions on what sort of output you’re in search of.

Use AI to generate briefs, draft first passes, or pace up design prototypes — and reserve human time for the inventive polish.

4. Observe Up with Inbound Leads

On paper, 500+ inbound marketing leads a day seems like a dream for a small company.

However for Tiddle, a six-person influencer company, it was a nightmare.

They have been buried within the flood of messages, with just a few that have been price pursuing. Sorting via the noise ate up 6–8 hours a day — time that ought to’ve gone into shopper campaigns and outreach.

As an alternative of hiring extra employees, they introduced in AI.

Utilizing Lindy, each inbound e mail was screened routinely.

Low-quality gives have been politely declined, whereas promising ones have been flagged and routed to the precise particular person.

If phrases weren’t a match, the AI may even recommend counteroffers.

The group went from slogging via lots of of emails to focusing solely on the ten–15 actual alternatives that mattered.

That shift freed up 40–60 hours per week.

As Tiddle’s CEO, Mike Hahn, says, “Each deal we’ve closed in the previous couple of months got here from Lindy surfacing the precise conversations.”

Strive It Your self:

Decide one channel the place inbound quantity is overwhelming (e mail, DMs, LinkedIn).

Outline the “must-haves” for a certified lead (funds, provide sort, model match), then use a device like Lindy or Clay to display and tag incoming requests.

You’ll be able to even arrange conditional logic so the device can change the way it responds primarily based on particular situations.

5. Construct Hyper-Personalization for Your Very best Buyer Profiles

“Hello [first name]…” personalization doesn’t lower it anymore. However manually tailoring each message to your ultimate buyer profiles (ICPs) is unattainable to scale.

Oren Greenberg, a solo advertising guide, confronted this drawback.

And since there was no system that match his beliefs of hyperpersonalization, Oren constructed his personal.

He coded a workflow in Replit that filtered a 50,000-company dataset, excluded current contacts, and generated outreach tailor-made to every firm’s stage and challenges.

The consequence: outreach so particular it solely is smart for the meant recipient.

Strive It Your self

Should you’re a extremely technical particular person with the talents and know-how to recreate one thing like this in a vibe-coding device, then by all means have at it.

For the remainder of us, utilizing a device like Clay is a quick path to get 80% of the best way there.

Begin by defining your ICP.

Then use Clay to tug in enterprise knowledge, filter it in opposition to your ICP standards, and enrich it with additional context.

With that knowledge in place, you may add an AI-powered column that drafts personalised outreach for every prospect.

Run a pilot batch of fifty–100 and iterate till the system appears like true one-to-one messaging.

6. Run Aggressive Evaluation

New advertising roles typically begin with 30-60 days of sluggish discovery.

Who’re the actual opponents? What do prospects really care about? What language do they use?

Semrush’s former VP of Model Advertising Olga Andrienko discovered a option to shortcut that course of.

Earlier than Day 1 at a brand new job, she suggests operating an AI-powered aggressive evaluation.

Pull your web site and the highest opponents’ pages, transcribe the most-viewed YouTube evaluations, and mine Reddit and boards for repeated complaints.

Then, feed that into an AI summarizer to floor frequent function reward or criticism and actual buyer phrasing. Instruments like Google Opal or Gemini assist cross-link these insights right into a positioning map.

The payoff: You stroll in Day 1 with a prioritized punch list.

Strive It Your self:

Whether or not you’re moving into a brand new function, launching a marketing campaign, or scoping out a brand new market, the identical workflow applies.

First, choose your model and three opponents. With a scraper device like Apify, get your web site copy and seize a handful of high YouTube evaluations and discussion board threads.

Then, feed these right into a device like Claude, Gemini, or ChatGPT to summarize and analyze the information.

Extract the highest 5 pains and language prospects use, and sketch a one-page positioning map you may convey to conferences.

That means, you begin your marketing campaign with readability — not uncertainty.

My Disastrous Vibe Advertising Experiment (What I Discovered the Laborious Manner So You Don’t Have To)

Providing you with examples is nice, however I wished to place all this to the check and see if I may construct a usable AI workflow for myself. (Spoiler: It didn’t go effectively.)

Aim: Save time replying to LinkedIn feedback with out dropping my voice.

Constraints: One thing I may check instantly, free of charge, and that will really be helpful.

Technique: Construct a workflow that scrapes feedback, learns my type, and drafts replies I may approve earlier than posting.

Time spent: 4+ hours

1st Try

First, I created an account in PhantomBuster, a device that automates actions on social platforms like LinkedIn.

Then, I linked my LinkedIn account and arrange the “LinkedIn Publish Commenter and Liker Scraper” device.

I requested it to retrieve solely feedback from my LinkedIn posts from latest days, which it did efficiently.

Subsequent, I created a brand new “State of affairs” in Make, a no-code automation and AI agent device, and added PhantomBuster as the beginning of that workflow.

Then, I constructed a Make AI Agent that will draw from my earlier posts to be taught my voice..

I added that Make AI Agent into the workflow, giving it directions to research the feedback scraped by PhantomBuster and produce a reply.

And at last, I added Google Docs as the ultimate output. The concept was to create a doc the place I may see each the unique remark and the AI-generated reply.

The entire workflow ran efficiently, which I took as a win and closed up store for the night time.

However once I opened my laptop computer the subsequent day to examine all of the fantastic replies my new AI buddy had written for me, all I discovered was this beautiful Google Doc:

Nonetheless undeterred, I made a decision to attempt one thing totally different.

2nd Try

Alongside the identical strains, I wished to construct an automatic AI workflow that will scrape content material from LinkedIn that I’m serious about. Then, write feedback in my voice and magnificence utilizing my current content material as a basis.

I used an analogous workflow: PhantomBuster to scrape the content material, Make AI Brokers to research and write feedback, and getting the ultimate output in a Google Sheet.

Sadly, that gave me the very same consequence (solely this time in spreadsheet format, woohoo!):

What particularly irked me was that the automations themselves have been operating efficiently. However I nonetheless had no output.

So after greater than 4 hours of labor (and numerous back-and-forth with ChatGPT), I lastly gave up.

May I’ve discovered this AI workflow finally? Sure, I’ve little question.

However at that time, how a lot time would I be saving?

Does just a little time saved on writing feedback justify spending hours constructing an AI workflow (and what ought to’ve been a comparatively easy one, at that)?

Right here’s what I discovered from this experiment:

• Should you’ve been secretly feeling just a little skeptical about vibe advertising, you have been proper
• The oldsters constructing vibe-coded apps and AI workflows in 5 minutes have years of apply. The remainder of us can’t anticipate the identical pace.
• The instruments which are presently accessible for vibe coding and AI automations aren’t prepared but for the typical person to simply bounce in and construct
• If somebody with a background in tech (me) struggled a lot with a easy workflow, think about the problem of one thing extra complicated

And whereas it’s true that others are seeing success with vibe advertising (just like the examples that we noticed above), there are additionally clear downsides.

It’s Not All a Mattress of Roses: The Caveats of Vibe Advertising

Vibe advertising is like several new advertising buzzword: All of us love to affix within the hype, even when we don’t fairly get it.

The issue is, the hype can obscure actuality.

After operating my very own experiments, I additionally talked with different consultants within the discipline. What emerged was a transparent sample — vibe advertising is highly effective, however the gaps between promise and apply are actual.

It’s Tougher Than It Seems

The concept that you could tinker round with AI for 5 minutes and produce a usable workflow simply isn’t possible for almost all of us.

And but, that’s the promise we’re seeing again and again:

This all sounds nice, however we’re entrepreneurs: We all know higher.

Easy automations? Certain.

However strong, real-world methods normally want engineering assist or critical AI chops.

With out that, you danger fragile prototypes that break the primary time they’re stress-tested.

Oren Greenberg, the AI advertising guide we talked about earlier, advised me:

Right here’s the purpose: Don’t get swept up within the hype. Test the supply.

The Infrastructure Is Messy

AI workflows look slick in a demo. However in apply, you must plug into your advertising stack.

And that’s the place issues get difficult.

For instance, you may construct the proper AI agent to attain inbound leads, solely to understand that your CRM can’t settle for the information the best way you want.

As Austin Hay, Co-Founding father of Readability and MarTech instructor at Reforge, famous in a recent interview:

For conventional advertising groups, this implies your AI workflows could not play effectively together with your firm’s established martech methods.

And in case your tech’s API documentation is outdated (or worse, nonexistent), it will likely be almost unattainable to vibe code your option to integrations between current instruments.

AI Can’t Invent Exterior its Datasets

One other false impression round vibe advertising is that you could throw any messy, undefined drawback at an AI agent and it’ll determine it out.

The truth is much less glamorous.

AI thrives on patterns it’s seen earlier than. Level it at a well-scoped, repeatable job, and it shines.

However ask it to invent outdoors of its coaching knowledge — or resolve a fuzzy, novel drawback — and also you’ll find yourself with loops, errors, and wasted hours.

Velocity Solely Works When You Know The place You’re Going

AI may also help you progress quick. However in case you don’t know what metrics matter and the place you need your workflows to steer, quicker will simply imply getting misplaced sooner.

Entrepreneurs who succeed with vibe coding are those who outline the end line first. AI then turns into a automobile to achieve these objectives quicker, not an alternative choice to setting them.

Kevin White, Head of Advertising at Scrunch AI, put it this manner in a latest interview:

Vibe Advertising Instruments Free Up Time…However for What?

As extra entrepreneurs construct AI workflows and vibe code their option to productiveness, a philosophical query arises: why?

AI workflows and automations unencumber time (after they work). However, what are we liberating up time for?

By eliminating the busywork, we’ve saved solely essentially the most demanding duties for ourselves. And whereas creating and strategizing could also be what we get pleasure from most, it’s unattainable for most individuals to try this sort of mentally-taxing work for eight hours straight.

Eric Doty, the one-man content material group at Dock, explained it like this:

The inquiries to ask: Are we automating the precise issues? Are we automating for the precise causes? And the way are we utilizing the time saved?

The way to Know if Vibe Advertising Is Proper for You and Your Enterprise

Chances are you’ll be a marketer in a standard group with restricted sources and numerous massive concepts to execute on.

Or, you may be a solo marketer trying to cut back busy work.

Both means, you’re in all probability AI as an answer to extend productiveness. Even in case you fear it’ll steal the humanity out of your campaigns.

Nonetheless on the fence?

Listed here are six questions you may ask your self. Reply actually, and also you’ll have a greater view of whether or not now could be the precise time to begin vibe advertising:

The aim right here isn’t to move/fail. It’s to identify whether or not now could be the precise time to lean into automation. And whether or not you’ll get a significant return.

As Lauren Wiener of Boston Consulting Group mentioned:

Able to Strive Your Personal Vibe Advertising Experiment?

Vibe advertising isn’t snake oil. However it’s not a silver bullet, both.

The hype could make it really feel like anybody can vibe code and automate their option to a advertising edge. However the actuality is way extra nuanced.

The entrepreneurs getting actual worth from vibe advertising are those with robust fundamentals, clear objectives, and sometimes a layer of engineering assist behind them.

For the remainder of us, the takeaway is easy:

Vibe advertising is price experimenting with, but it surely received’t substitute technique, judgment, or hard-won experience.