Ashley Wright

Want to scale your brand to $100k+/mo with TikTok Shop?👋

Are you struggling to see the results you want on TikTok Shop?

Over the past two years, I've generated over $80,000,000 on TikTok for some of your favorite brands.

A few of our current and past clients include:
- Loop Earplugs
- Divi
- Petlab
- Mylee
- SNOW
- Stars + Honey
- Surreal
- Style Edit
- Thread Beauty
- Little words project

This success isn't just luck it's about understanding the platform, pushing boundaries, and being unafraid to test what works.

Brands used to doubt TikTok's ROI potential, but that's never been the case. With TikTok Shop, the ROI is clearer than ever.

If you're ready to create a whole new revenue channel with TikTok, here's how I can help:

1. Follow me on LinkedIn for daily TikTok Shop insights (scroll up and hit the bell to get notified).

2. Watch my FREE TikTok Shop Playbook (DM me "Playbook").

3. Want my agency to manage your TikTok Shop? (DM me "Support" and I'll share the details).

Glad you dropped by. 
To your success!

Mentor

1:1 video mentoring sessions with the world’s most in-demand startup mentors.

Your team ran a TikTok Shop test for 2 months, didn't see results, and shut it down.

Now you're saying TikTok Shop doesn't work.

The thing is, you didn't actually test TikTok Shop. You tested with outdated methods and called it a channel test.

TikTok Shop doesn't work in 2 months because the algorithm needs time to learn what actually converts for your product.

Creators need to post multiple times to figure out which hooks land. Your audience needs to see the product 3-4 times before they trust it enough to buy.

The brands doing $100k+ on TikTok Shop didn't get there in a couple of months.

They spent time building the infrastructure, testing content angles, and finding which creators actually move product.

Then they scaled what worked.

You can't judge a new channel the same way you judge a Meta ad campaign. Different platform, different timeline, different mechanics entirely.

Think about it this way:

Would you launch a new retail store, see zero customers in week 1, and immediately shut it down before you even finished setting up the shelves?

That's basically what your TikTok Shop test was.

Most brands kill TikTok Shop before momentum even has a chance to compound. Then six months later, they're watching competitors scale.

The reason why the TikTok shop isn't working for you is that you didn't give it enough time to actually work.

Helping 8+ Figure Brands Win on TikTok Shop | CEO of Social Tale | Speaker | Social Commerce Growth Expert | DM for growth, audits, or collabs

Khairul Aming just did RM2.3 million in sales in a single day on TikTok Shop.

That's ~$589K USD from one 12-hour livestream.

He sold 51,700 products and got. 5.42 million views.

TikTok Shop LIVE has already proven in Asia.

In Malaysia, Indonesia, Thailand, creators are doing 6-7 figures in single sessions.

Most brands in the US and UK are stuck posting 3x/week, hoping something hits.

They haven't even tested LIVE yet.

Meanwhile, the playbook already exists.

Here's what Khairul did that you can copy:

He ran a 12-hour livestream set up like a virtual Ramadan bazaar with different product stations.

He rotated through curated products from 14 local brands. He answered questions in real time. He created urgency with cash giveaways and limited-time offers.

And people bought.

This is what TikTok Shop rewards in 2026.

Not polished brand content.
Not hoping a video goes viral.
Not waiting for the algorithm to pick you.

Real-time engagement.

The infrastructure exists in the US and UK now. The audience is ready. The conversion mechanics work.

But most brands think LIVE is "too much work" or "not professional enough."

So they're leaving 6-7 figure revenue opportunities on the table.

Are you testing LIVE for your brand?

TikTok Shop Setup Checklist for 2026.

The exact steps we use to launch brands from $0 to first sales on TikTok Shop:

If you need help implementing this: https://lnkd.in/gV5_Ab9Z

Premium brands fear TikTok Shop.

"Won't this turn us into a discount brand?"

I get it. The platform feels risky.

But poor execution damages positioning.

Not the platform itself.

The brands losing their premium positioning are letting creators run wild with messaging, competing on price instead of value, and treating TikTok Shop like a liquidation channel.

The brands winning are doing something different.

1) They bundle intelligently to increase AOV

Instead of slashing prices, they create exclusive bundles that justify higher order values.

Limited edition sets. Product + accessory combos. Starter kits.

2) They use value adds instead of discounts

Early access to new launches.

Gift with purchase.
VIP creator events.
Not 30% off everything.

3) They anchor around hero SKUs and storytelling

Creators don't sell on price.

They sell the transformation, the outcome, the experience.

Premium positioning comes from how the product is framed, not what it costs.

4) They control the commission strategy

Commission happens behind the scenes.

Public-facing pricing stays premium.

No race to the bottom on discounts that train customers to wait for sales.

5) They use TikTok Shop as a discovery engine

Acquire new customers at full price through creators.

Then monetize repeat purchases through DTC retention flows.

TikTok brings the customer in. Your brand keeps them.

TikTok Shop doesn't cheapen premium brands.

Weak operators do.

Meta Ad spy tools show you WHO is running ads.

GoMarble shows you WHY they work.

One gives you a list of ads. 

The other gives you strategic patterns + creative analysis.

Every ad spy tool shows you competitors.

None of them explains why an ad actually performs.

GoMarble doesn't just list competitor ads.

It watches them. Dissects hooks, copy, formats, angles. Finds patterns of what's actually converting right now.

Search 150M+ ads by funnel stage, hook type, and offer structure.

Not just brand names.

Then it connects to your ad account.

Compares competitor patterns against your top and bottom performers.

Shows you what's missing, overused, or mis-positioned.

Turns that into ready-to-shoot briefs.

We're using it for TikTok Shop creative research.

But it works across platforms.

Also, GoMarble built a Competitor Intel report. 

Enter your website, and GoMarble instantly shows competitors’ ads, their best hooks, winning angles, and a gap analysis against your own ads. 

Repost + comment “GoMarble” and I’ll DM you the link.

P.S. Repost for priority access.

You don't need a massive budget to scale on TikTok Shop.

I've watched brands burn $100K+ in 90 days with nothing to show for it.

Meanwhile, smaller brands with tighter budgets are doing $50K months.

The difference isn't money.

It's focus.

Here's what profitable brands are doing:

---

1) Pick 1-2 hero SKUs, not your entire catalogue

Most brands launch with 20+ products.

The algorithm doesn't know what to push.

Creators don't know what to promote.

Customers get confused.

Narrow it down.

One or two products that demonstrate well on video.

Give the algorithm a clear signal.

Give creators a clear story to tell.

---

2) Pay creators with retainers, not just samples

Sending samples and hoping the creators' post is expensive guessing.

We pay $30-150 per video retainer plus commission.

That guarantees posts.

Guarantees volume.

Guarantees the algorithm gets fed consistently.

Samples work for discovery.

Retainers work for scale.

---

3) Hit 250+ pieces of content per month minimum

The algorithm needs volume to learn what converts.

20 videos per month isn't enough signal.

250+ gives the platform enough data to optimise.

That's roughly 8-10 posts per day across your creator network.

Sounds like a lot, but it's just 25 creators posting once a week.

---

The algorithm rewards consistency over budget.

Most brands think that more money solves the problem.

It doesn't.

More focus and the right strategy do.

We're watching 3 things break inside TikTok Shop accounts right now.

Not gradually. In the last 60 days.

1. Sample quality collapsed

One of our brands before working with us was sending 400+ samples a month. 

Creators were posting, but the content was lazy. Generic unboxings. No hook. No angle. Just "look what I got" videos that generated views and zero sales.

The obvious move is to cut samples and shift budget to retainers with clear briefs.

The strategic move is harder, figuring out which creators actually drive GMV versus which ones just post for the sake of posting, restructuring your entire pipeline without killing momentum during the transition, and doing it while your competitors are still flooding those same creators with free product.

We rebuilt this for 3 accounts last month. Each one needed a completely different approach.

2. Commission-only is getting ignored

Top creators are sitting on 30-40 brand offers at any given time. Commission-only doesn't get you to the front of the queue anymore.

But the answer isn't just "pay creators more." We've seen brands throw retainers at the wrong creators and burn through budget faster than they did with samples.

The question isn't whether to pay. It's which creators justify investment, what deal structure actually locks in consistency, and how you avoid overpaying for content that doesn't convert.

That's a judgment call that looks different for every category and price point.

3. The algorithm changed what it rewards

Brands that built their entire strategy around waiting for one creator to go viral are getting outpaced by brands building systematic content velocity.

But "just post more" isn't a strategy either. We've seen brands push volume with low-quality content and tank their shop score. The balancing act between volume, quality, and algorithmic signal is genuinely hard to get right.

The brands scaling right now aren't the ones who spotted these shifts first.

They're the ones who had the infrastructure to adapt without losing momentum.

That's the part most people underestimate.

TikTok Shop Brand Safety Governance Checklist for 2026.

The exact framework we use to help brands scale to 7 figures per month without destroying their retail relationships or brand equity:

TikTok Shop just pulled a full U turn.

After weeks of noise, back and forth, and “potential updates” to Seller Shipping, this landed in inboxes:

“At this time, Seller Shipping remains unchanged, and previously shared deadlines are not going into effect.”

Translation, the dramatic shift is not happening, for now.

The last few weeks have been messy.

There was a strong push toward tightening control over shipping, clearly a move toward a more Amazon style model where the platform owns more of the infrastructure and margin.

From a platform economics perspective, I get it.

Own fulfillment, own experience, own more revenue.

But timing matters.

If your goal is onboarding serious $10m+ sellers, introducing a sudden operational roadblock with short turnaround deadlines creates friction at exactly the wrong moment.

We had multiple conversations with TikTok.

We supported brands through contingency planning.

We looked at operational impact, margin compression, warehouse shifts, customer experience risk.

And rightly so, several brands were hesitant to opt in under pressure.

High revenue operators do not like instability in core logistics.

This reversal is the right move.

Not because platform owned shipping will never happen.

But because forcing structural change before the ecosystem is fully ready slows momentum.

TikTok Shop is still early.

It needs enterprise brands.

Enterprise brands need predictability.

Platform growth is not just about monetisation.

It is about trust.

For now, Seller Shipping remains unchanged.

And that gives brands breathing room to scale without unnecessary friction.

The bigger takeaway is that TikTok is still iterating in real time. If you are building on the platform, expect volatility.

Build systems that can absorb it.

That is the game.

"Is TikTok Shop actually profitable?"

Every brand asks this around week 6.

And most kill it at day 45.

Right when it's about to work.

They see the GMV.

They see the commissions.

And they panic and say it's not profitable.

What they are missing is that launch ROI and scale ROI are two different games.

In the first 60 to 90 days, you're not extracting profit.

You're building infrastructure:

- Higher commissions to attract creators.
- Heavy content investment to test what converts.
- Tighter margins to build momentum.

This phase isn't supposed to be efficient.

It's supposed to prove the model works.

Most brands expect immediate profitability and pull the plug before the system matures.

They're chasing vanity GMV instead of watching contribution margin.

Those who see success treat TikTok Shop like a flywheel.

They focus on contribution margin, not vanity GMV.

They track what actually matters, such as profit per order after commissions, returns, and fulfillment.

They double down on repeat creators who already know their product.

These creators drive better conversion rates, which means lower effective commission costs and better MER.

They identify hero SKUs that drive volume without killing margin.

One or two products that hit the algorithm sweet spot can carry your entire catalog's profitability.

They increase content velocity until the algorithm picks up momentum.

More content from proven creators means the platform rewards you with cheaper traffic and better MER.

By month 4, MER improves. By month 6, it scales.

TikTok Shop is profitable when you stop chasing paper metrics and start building for the long game.

The question isn't "Will this work?"

It's "Are you willing to build it right?"

TikTok just released its 2026 trend report:

"People will come to TikTok for unfiltered stories and BTS moments, with most resonant brands showing real process and people over curated perfection."

This is why polished product videos aren't working anymore.

The brands winning on TikTok Shop in 2026 won't have the best brand guidelines.

They'll be the ones showing:

- Messy unboxings, not staged ones.
- Real customers in real situations, not actors.
- Behind-the-scenes of fulfillment and shipping.
- Actual product usage, not perfect lighting setups.

This is why creator-led commerce works.

Creators aren't polished and show the process.

Your 10-page brand guideline asking creators to match your aesthetic is the opposite of what audiences want.

TikTok Shop rewards what people watch.

And people want unfiltered, not curated.

Are you still optimizing for brand perfection or giving audiences the real stories they're craving?

Most brands think their TikTok Shop strategy isn't working.

Usually it is working, but it's leaking.

We audited a brand last month doing $50K/month in GMV. Looked healthy on the dashboard.

Under the surface, they were hemorrhaging budget in 3 places they hadn't even thought to check.

Creators who took samples weeks ago and never posted, as they had a logistics issue, but nobody was tracking it, so samples kept going out. 

Commission structures were set at launch and never adjusted, even though category benchmarks had shifted. 

Content is generating views, but converting at a fraction of what it should. None of these showed up in their weekly GMV report. Every one of them was compounding.

The fix wasn't one thing. 

It was different for each leak. 

Some needed operational changes, some needed creator relationship restructuring, and some needed a complete rethink of which SKUs they were pushing.

The uncomfortable truth is that most brands don't know where their budget is actually going on TikTok Shop. They see top-line GMV and assume the machine is running efficiently.

It rarely is.

Tarte did $45 million in GMV on TikTok Shop in 6 months and sold 1.6 million products.

Everyone thinks it's because they're a big brand.

So, I looked at where the revenue actually came from.

88% was affiliates and 11% was the Shop tab.

Less than 1% came from their brand account.

Many brands think TikTok Shop success comes from posting great content on their brand account.

Tarte's posting maybe once a week.

Meanwhile, they activated 6,600 creators in a single month who published 23,000 videos.

That's 800 videos per day hitting the platform.

They're not waiting for one video to go viral.

They built a system where content just keeps flowing.

And the algorithm rewards that.

I pulled up one of their top creators.

Kaley Solitro has over 50K followers.

She's generated over $1 million in sales for Tarte.

Not because she has a massive audience.

Because she posts consistently and knows how to make content that converts on TikTok.

Their best-selling product is the CC Corrector.

$11.7 million from one SKU.

It works on TikTok because it's simple to show.

Clear before and after.

You see the result in 15 seconds.

That's what a TikTok-native product looks like.

Most brands are still trying to figure out what to post on their brand account.

Tarte just recruits hundreds of creators, gives them samples, and lets them do what they do best.

Then they amplify the ones that are already working.

Brands check their TikTok Shop dashboard every day.

But they're looking at the wrong numbers

Most brands manage TikTok Shop on GMV.

Check the dashboard. See last month's revenue. Decide if it's working.

But revenue shows you what happened 30-60 days ago.

The creators posting today drive sales in 4-6 weeks.

So when you only track monthly revenue, you're reacting to old data.

We don't manage TikTok Shop on GMV.

We manage it on leading indicators.

1) Creator Activation Rate

How many creators actually posted after getting samples. If it's below 70%, your brief is broken, or you're targeting the wrong people.

2) Content Volume

How many pieces of content hit the platform each week. We need 100+ per month minimum, or the algorithm doesn't have enough signal.

3) Repeat Creator Density

Which creators keep posting multiple times. One creator posting 10 times beats 10 creators posting once.

I watched a client hit $120K months.

Then they cut samples by 60% to "save budget."

Two months later, GMV dropped to $45K.

It wasn't seasonality.

It wasn't algorithm changes.

It was a broken content pipeline caused by cutting samples.

The work you do today shows up in revenue 30-60 days later.

Most brands celebrate a big month, then forget to keep sending samples.

Revenue drops 8 weeks later, and they panic.

TikTok Shop rewards consistency, not monthly sprints.

If you're managing TikTok Shop on last month's GMV, you're operating on a 60-day delay.

A 9-figure CEO messaged us before we spotted it.

A creator had posted a video implying the brand was "shutting down."

The video was getting traction.

Not a good look when the CEO sees it before you do.

What happened is that the creator used an aggressive hook to drive hold rate. "Is [Brand] shutting down?" "Why are they discounting so heavily?"

It worked. People watched. The algorithm pushed it.

But when you're working with enterprise brands and board-level scrutiny, you can't let performance run unchecked.

We're now having the same conversation with every brand:

What's your risk appetite?

Will you sacrifice short-term GMV to protect positioning? Or are you comfortable leaning into aggressive hooks for faster scale?

You can't optimize for both.

So we've built a clear creator brief with boundaries on what hooks are off-limits.

Automatic scanning before we put paid spend behind content.

Escalation protocols when risky content gets traction.

Because once you amplify a video with ad spend, you're not just distributing content. You're amplifying risk.

The difference between agencies that scale brands and agencies that get burned is simple.

You either build governance around growth, or growth exposes your weaknesses.

Scale without control isn't a strategy. It's a gamble.

And serious brands don't gamble with reputation.

People think TikTok Shop is for cheap impulse buys.

In January, products over £100 generated 41% of revenue on TikTok Shop UK.

That's 15 times higher than the global average.

TikTok Shop isn't a discount channel anymore. It's a legitimate commerce platform where people buy home appliances, premium clothing, and high-utility items.

People are hitting "buy" on £100-200 products while scrolling their feed because creator trust and brand legitimacy have matured.

Most brands are still treating TikTok Shop like a clearance channel.

Running aggressive discounts. Racing to the bottom on price. Positioning themselves as cheap alternatives.

Meanwhile, premium brands in the UK are proving that you don't need to discount heavily to win.

You need trust. You need the right creators. You need to position value, not price.

This happened in January. A month when shoppers are traditionally bargain hunting.

And high-ticket items still dominated.

If you're afraid TikTok Shop will damage your premium positioning, the data disagrees.

The platform has matured. The audience is ready to spend. The infrastructure supports it.

Are you still treating TikTok Shop like a discount channel or building it as a premium commerce platform?

Creator marketing is powerful.

Scaling it manually is impossible.

You can't manage 1,000 creators through Google Sheets and inbox chaos.

You can't manually track shipments, negotiate contracts, and process global payments one by one.

Most platforms try to help, but they only solve pieces of this.

One does discovery.
Another handles outreach.
Another does reporting.

You still need massive manual effort to connect everything.

That's the problem AMT solves.

AI-powered creator marketing that handles the entire workflow so your team stops doing operations and starts doing strategy.

It runs sourcing, vetting, outreach, negotiations, contracts, payments, and performance tracking.

All-in-one platform across Instagram, TikTok, and YouTube.

Every program type, such as gifting, affiliate, sponsored, and UGC.

Brands like Noshinku, Stars + Honey, and Wild Nutrition are already scaling with it.

Do you want to see AMT in action?

Comment "CREATORS" and I'll send you the link to get 10 fully vetted creators, completely for free.

"Do we need full catalog pushes or focused launches?"

I get asked this a lot.

Hero SKU focus wins on TikTok Shop, while the full catalog pushes dilute traction and wastes budget.

High-velocity content consistently outperforms polished brand campaigns because the algorithm rewards speed and volume over production value.

Brands that scale quickly drive over 70% of their revenue from a tight group of creators and a small set of SKUs instead of spreading effort across their entire product line.

LIVE shopping, affiliate content, and paid amplification need to work together as one integrated system rather than separate channels competing for budget

Most brands launch with too many products and wonder why nothing gains momentum.

Focus creates traction faster than variety ever will.

If I were in the marketing department at an 8-figure e-commerce brand tasked with scaling TikTok Shop, this is exactly what I would do to hit 7-figures in GMV in 90 days (we follow these 4 steps with all of our clients):

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Step 1: Align leadership on what TikTok Shop actually requires

I would start by making sure the C-suite understands that TikTok Shop isn't a "set it and forget it" channel.

This needs real investment upfront. Sample budget, creator commissions, and content testing. The first 60 days are about building infrastructure, not extracting profit.

If they're not willing to commit to 90 days minimum before judging performance, there's no point starting at all.

Then we'd set expectations together:

• Allocate minimum 250 samples per week
- Monthly ad budget of around $10-$30k and scaleable on performance
• Understand margins will be tight initially (20-25% commission 1st 90 days to get creators posting)
• Commit to weekly check-ins, not monthly reporting cycles

---

Step 2: Kill the full catalog launch

Most brands want to list everything. Wrong move.

I would pick 2-3 hero SKUs that have:
• Clear visual transformation or demo potential
• Strong existing reviews (4.5+ stars)
• Price point under $20-$80

Then drive 70%+ of revenue from those products for the first 90 days. Full catalog expansion comes after we've proven the model works.

---

Step 3: Build a creator pipeline, not a sampling program

I wouldn't send samples to 100 random creators hoping something hits.

I would identify 30-40 creators already selling similar products, narrow it down to 20 who actually engage their audience, and lock in 5-10 on retainers or premium commission structures (20%+ vs standard 10%).

One creator posting 10 times beats 10 creators posting once. The algorithm rewards consistency, and audiences need multiple touchpoints to trust a product.

---

Step 4: Optimize for speed, not perfection

I would kill the approval cycles that slow everything down.

Test 5 different content angles this week. See what drives GMV by Friday. Scale winners next week. The brands moving fast are learning what converts, while slow brands are stuck in planning meetings.

Weekly sprint cycles, not monthly campaigns.

---

This is the exact framework we use with brands doing 7-8 figures on TikTok Shop.

Most brands fail because they treat TikTok Shop like social media instead of performance marketing. Then, they wonder why they're not seeing results.

---

♻️ Repost to help your network, and follow me, Ashley Wright, for daily TikTok Shop strategies that actually drive revenue.

Don't be the brand that gets caught sending terrible creator briefs.

Instead, steal 1 of these 8 frameworks:

This is where you should start on TikTok Shop:

Mastering the structure of converting content.

These are the 8 content frameworks I use to brief creators across every brand we scale on TikTok Shop:

---

1) A-I-D-A
Attention: Stop the scroll in the first 2 seconds.
Interest: Build curiosity around the problem.
Desire: Make them want the outcome.
Action: Tell them exactly where to buy.

2) H-B-D
Hook: Open with a bold, relatable claim.
Benefit: Show what it does for them.
Demo: Prove it works on camera.

3) P-A-S
Problem: Name the pain they already feel.
Agitate: Make it feel real and urgent.
Solution: Position the product as the fix.

4) B-A-B
Before: Show where they are right now.
After: Show the transformation.
Bridge: The product is what gets them there.

5) S-P-I-N
Situation: Set the scene they recognise.
Problem: Introduce the friction.
Implication: Show the cost of doing nothing.
Need: Bring in the product naturally.

6) T-S-T
Tease: Open with a bold result or claim.
Show: Demonstrate it visually.
Tell: Explain exactly why it worked.

7) R-S-R
Relate: Start with something they've felt.
Surprise: Flip the expectation.
Result: Land on the outcome with proof.

8) S-S-S
Star: Lead with a person or product as the hero.
Story: Walk through the struggle or journey.
Solution: Show how the product resolves it.

---

Send these frameworks to your creators and watch your GMV per view change.

Which framework does your best-performing content already use?

Let me know in the comments.

---

Repost to help your network build better TikTok Shop content.

Follow me, Ashley Wright, for daily TikTok Shop strategies that actually drive revenue.

Acquiring Inbound Leads for B2B Founders with Personal Content Programs • Explaining Content, one Ugly Drawing at a time

Content steals focus, I know. Writing, formatting, visuals, posting cadence, and keeping up with comments. It becomes a weekly tax, then it gets dropped, then inbound stays unpredictable.I build an Authority Engine for B2B Tech Founders. It turns your existing knowledge into consistent content that makes you look like the category leader, without you writing a word.What you get:1) 100% custom AI voice cloneWe extract your voice from your real materials. Whitepapers, sales calls, internal docs, Slack messages, past posts, and anything else that reflects how you think and speak. No generic templates.2) LinkedIn Autopilot5 high converting posts per week, ghostwritten, formatted, and ready to publish. You do not write, format, post, or search for visuals. You approve drafts with a simple yes or no.3) Search Dominance pack2 SEO optimized long form articles per month, derived from your LinkedIn content, so your authority compounds beyond the feed.First week of content can go live within 48 hours of onboarding. You can see engagement on day 1. Your only job is approvals.I will write 3 posts for you for free using your data, so you can see the voice match before you pay. If the first week does not sound exactly like you, or better, I rewrite it until it does, or you do not pay.Best for founders who have real insight and a real product, but do not want content creation to compete with building, selling, and hiring.If you want to test the voice clone, message me: “3 posts”.

Kuba Czubajewski

IMO, this is the only realistic "future" of content marketers:

Every week, I see here new tools popping up that promise my clients they can let all their content team go because AI can do it all for them.

Not once have I seen it actually work, btw.

Content is a much deeper thing than writing a bunch of paragraphs that sound good or an infographic that looks nice.

For me, it's all about connecting the dots that are usually VERY far apart and turning it into a fresh, impactful message.

This is why I'm in love how Dropbox Dash is approaching AI for creatives.

Instead of proposing yet another "I'll do it for you" tool, they're solving one major pain most of us feel:

Not being able to connect the dots because the dot you're looking for is in a file you forgot the name of.

Sounds trivial, but OH MY GOD, the amount of time I used to spend on scrolling through my G-drive is embarrassing.

And this is where I think the whole AI for content conversation should land.

AI is incredible at recall.

Humans are still the best at judgment what matters, what’s true, what’s new, and what’s worth saying out loud.

You won't win because you can generate 50 posts a day.

But if you can pull the right inputs fast, then make a call on the angle, and ship a message people actually remember, you will win.

PS. this is not sponsored by anyone, I just saw their launch and loved it.

I’ll write 3 LinkedIn posts for free, in your voice. If it sounds like you (or better), we install your AI Authority Engine in 90 days.

Here's a 10-min flow I use with founders to create weeks of content for them:

The goal is to create one small, high-integrity narrative object that can survive multiple contexts without losing its meaning. 

The easiest way to do that is to start with a 10-minute CEO video (use Tella or Loom), because spoken answers preserve something writing tends to bleach out: conviction, nuance, and those small qualifiers that signal real experience. 

I beg you, don’t ask for “thought leadership.” 

Ask one tight prompt that forces specificity, like what buyers are getting wrong about a problem right now, what that misunderstanding costs them, and what they should do instead.

Once you have the Loom, the extraction step matters more than the editing. 

You’re looking for a structure:

Pull out:

- one contrarian claim that creates tension
- one vivid symptom that makes the claim relatable
- one constraint that makes it believable
- one before/after framing that makes the shift obvious
- one proof detail that anchors it in reality

That proof detail can be lightweight. It can be “we heard this on 12 calls this month,” or “this showed up in every deal we lost last quarter.” 

Now you take those five ingredients and you write one “source paragraph” in plain language. Don't think of any platform yet. 

Just articulate the idea clearly as if you were explaining it to a smart friend over coffee. This paragraph becomes the anchor. Every other asset is a translation of it, not a reinvention. That’s how you keep integrity when you repurpose.

From there, I like to create three outputs that each do a different cognitive job:

First, a short text post that opens with the contrarian claim and immediately explains the symptom. 

The mistake people make is opening with the claim and then drifting into abstraction. Don’t. 

Earn the reader’s trust by describing what they already see in the wild, the call snippets, the internal debates, the marketing copy that “sounds right” but doesn’t move anything.

Second, a simple carousel where each slide is a single unit of meaning. Not “tips,” but progression. The before model, the cost of that model, the constraint that keeps people stuck, the after model, and then one practical move they can try this week. 

If you can’t fit the idea on five slides without it turning into fog, the idea isn’t ready yet.

Third, a longer form piece where you unpack the constraint and the proof detail. 

This is where nuance belongs. Why the obvious fix fails. What tradeoff you’re making. What to watch out for. 

This is also where you can safely include a real example, even if it’s anonymized, because you have space to set context.

Two quality checks before you hit publish:

• If the post could apply to any company, it’s too generic. 

• If the reader can’t repeat your point in one sentence, it’s too complicated.

If you want, reply with your niche and I’ll give you 5 tight CEO prompts that reliably produce these “weeks of content” anchors.

I recently changed my banner to this one below and you might think I went insane:

This is not a typical path content people choose for their businesses.

“Free value” beyond a regurgitated ChatGPT lead magnet is a rare thing here.

My thinking is this:

I built an Authority System for copying B2B founders’ voice with AI.

It’s GOOD. Took me about a year to get here. 

And the easiest way to prove it is to show my potential clients how it works.

Yes, building a sample assistant is harder than posting fancy carousels and “vulnerable” fake-ass stories

But I’ve always been more of a show-don’t-tell kinda guy and not planning to stop now.

Curious how it works? Dm me “3 posts”

"comment on other creators' posts" is sh!tty advice:

I used to spend 2 hours per day here commenting on probably all of them big creators.

Most of them don't give a rat's a*s about me or my content.

And that's perfectly fine. Why would they?

Not once have I reached out to them in a DM, they have no reason to see my comment and think:

"I wonder what this guy is about?"

But the folks I exchanged DMs with are consistently showing up under my posts.

Because we established a more meaningful connection than a [put an insightful comment here so they see you're trying hard]

See what I'm getting at?

Connection > tactics.

Build the first one and you'll never need to think about the second one again.

A year ago I thought I had it figured out:

Build a content agency for B2B founders. Use AI to do the heavy lifting. Keep costs low, scale fast. Simple.

What actually happened: 

I spent months building something nobody wanted to pay for.

The first version of the system was basically:

1. take the founder's old posts
2. dump them into a prompt
3. generate something that kind of sounded like them

The output was fine. Technically competent. The kind of content that gets 15 likes and zero leads.

I wasn't impressed with myself tbh. Neither were my clients.

So I overcomplicated everything:

A 12-step onboarding process, 5 different content formats, a pricing page that looked like a software feature comparison matrix...

I was trying to cover every possible use case for every possible client, and the result was that nobody could figure out what I actually did.

The solution was so stupidly simple, I facepalmed when I finally got there:

I started interviewing founders instead of just ingesting their existing content.

Turns out the best content a founder can publish isn't what they've already written.

 It's what they say when someone asks them the right questions:

- the unguarded takes
- the specific stories
- the things they'd never think to write down but say out loud constantly

Once I built the system around that – extract the thinking first, then write – the output stopped sounding like AI trying to be human and started sounding like the founder on their best day.

That took about a year to nail.

The offer got simpler too:

Interview you -> Write it up -> Publish it -> You approve the drafts. 

That's the whole thing.

If you want to see what it looks like, DM me "3 posts" – I'll write them for free before you spend anything.

A thing we rarely discuss in marketing is how customers perceive our narrative through preloaded meanings:

We think we’re publishing a simple story about a benefit. They’re interpreting a signal about power, intent, and control. 

That gap is what Ring ran into with its Super Bowl ad about a lost dog found through a neighborhood camera network. The creative aimed for warmth and community. 

The audience, already saturated with years of privacy discourse and surveillance headlines, watched the same 30 seconds and didn’t primarily evaluate the plot. They evaluated the infrastructure implied by the plot. 

“AI + cameras” isn’t a neutral prop anymore. It’s a symbol, and symbols arrive with cultural baggage attached.

This is the real mechanism behind “losing the narrative.” It’s rarely about execution quality but about the interpretive surface area. 

When a story leaves room for people to fill in the blanks, they will. And they’ll fill them with the strongest available frame in their mind, usually the one that best matches their anxieties. 

In this case, the counter-frame was waiting in the wings, mass surveillance disguised as safety. 

Once that frame establishes itself, everything that follows stops being “new information” and becomes “supporting evidence.” 

That’s why Ring’s sudden move away from a planned partnership with Flock Safety was immediately absorbed into the same storyline. Regardless of internal motives, it read like validation, not coincidence.

The takeaway isn’t “be careful with your messaging.” That’s too shallow. 

The takeaway is that narrative is not a message you transmit. It’s a negotiation between your intent and the audience’s prior beliefs. 

And prior beliefs are not something you overcome with a nicer tone. They’re something you have to design around. If your product or campaign touches an area where trust is already fragile, you should assume your audience will run an adversarial interpretation, even if they like you, even if the ad is well made.

A better move is to treat messaging like you treat product design:

Reduce ambiguity. Anticipate misuse scenarios. Make the boundaries legible. 

Don’t just tell a heartwarming story about what your system can do at its best. Show that you’ve thought seriously about what it could do at its worst, and what you’ve done to prevent that. 

In 2026, “we’re doing this for safety” is not a persuasive claim by itself. People want to know who gets visibility, who gets veto power, and what recourse exists when the system is wrong.

Curious how you think about this. When was the last time you watched a brand’s “feel good” story and immediately felt the darker subtext the audience would attach to it?

Quick tip if you hate when AI says "It's not X, it's Y..."

This rhetorical device is called "contrastive reframing using antithesis structure."

Hard-prompt it into your content assistant to avoid it (example below).

Also, from my tests, Claude 4.6 is much better at this that GPT models.

PS. Let me know any other annoying things AI uses - I'll show you how to remove them from the outputs.

How I helped a B2B consultancy business (very niche) start showing up in AI search:

We focused on turning their LinkedIn content into long-form SEO articles built around real opinions, specific frameworks, and language that maps to actual buyer problems.

AI tools cite sources that are clear and substantive. Since their LinkedIn content had this already, expanding it into articles became much easier.

The results measured over the last 90 days:

Overall: 1,619 AI bot hits → 4,163. That's 3x.
Homepage: 514 → 946. Almost 2x.

Every hit is ChatGPT or Perplexity pulling from their site while a buyer is actively researching. That's pipeline you'd never see in a cold outreach report.

If you want to see what this looks like for your niche, reply ENGINE and tell me what you sell.

200,000 people just watched a creator get stood up by a brand's AI chatbot:

Reformation used AI to manage its influencer outreach. It confirmed a collaboration, set up a store visit, and ran weeks of back-and-forth with a creator.

She drove an hour to the store, shot video in the dressing room... The manager had no idea who she was.

TikTok called it "an AI bot that went rogue." Reformation sent her a sweater as an apology.

Here's my read on what actually happened: 

AI made commitments nobody at the brand had authorized. And no human was watching the inbox it was running.

The bot did exactly what it was built to do - respond, confirm, follow up. 

But nobody told it where to stop. That's a systems failure.

AI doesn't know when it's overstepping. The tool runs until you build a stop - and plenty of AI marketing setups skip that step entirely.

There are places where automation works well: segmentation, sequences, content drafts.

And then there are contexts that require a human in the seat: real commitments, real relationships, anything a creator or partner will hold you to.

I put a lot of emphasis on that while working with my clients on their content assistants.

First draft can (and should) come from the AI. But the human editor before anything goes live is a must. 

Doesn't matter how good your AI tool is. If there's no one monitoring what it's agreeing to, you're one post away from a mess.

The CEO of impact put it well: "Human credibility becomes more valuable, not less."

That's the thing marketing teams running AI tools aren't accounting for right now, imo.

I've been inside a lot of AI content setups lately. 

Usually, it’s a single prompt, no real architecture:

A prompt produces something that sounds okay one day and off-brand the next.

What I built for myself first, now for clients, runs on 8 layers:

1. A voice profile: formality level, POV, energy, humor notes

2. A writing style guide: sentence rhythm, paragraph rules, formatting settings

3. A preferred/banned word list: the exact vocabulary the AI can and can't touch

4. Content pillars: the strategic territory the brand owns (and what it doesn't)

5. A CTA library: specific closing lines and keyword triggers, not improvised

6. An editorial guardrails file: a list of hard limits for the AI

7. A reference database: curated post examples labeled by format, hook type, and why they worked

8. A master prompt: the architecture that connects all 7 layers and tells the AI how to operate

Each layer feeds into the next. Remove one and the output starts drifting.

For example, the voice profile without the banned word list sounds right tonally but uses language the person wouldn't say out loud.

If you want to see what each layer looks like in practice, reply "SYSTEM" and I'll send you the breakdown.

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