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CEO: why isn't our content converting
Why is it supposed to convert?
CEO: it's valuable and has the right keywords
So what?
CEO: AI graded it, it checks all the boxes
So what?
CEO: So buyers must love it
But they don't, evidently.
CEO: why don't they?
Now you are asking the right questions.
It's not about the best content. EVER.
The only thing that matters is what your buyers think + what gets them to buy.
No market research will do that job.
Only the info present inside your company's assets will.
Start there.
Ciao.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Your brand guidelines were broken before AI touched them.
Everyone's panicking about AI generated content going "off-brand." Entire companies are being built to solve this problem. 43% of marketers say their biggest headache is keeping AI outputs on-brand.
But your brand was already off-brand.
Before ChatGPT. Before Midjourney. Before any of it.
Your sales team was writing emails that sounded nothing like your website. Your product team was shipping UI that contradicted your marketing. Your CEO was posting on LinkedIn in a completely different voice than your brand deck.
The problem was never AI. The problem is that most brand guidelines are a 100 page PDF that nobody reads, built by a designer who never talked to sales, approved by a CMO who left 18 months ago.
AI didn't break your brand consistency. It just made the inconsistency impossible to ignore because now there are 10x more touchpoints moving 10x faster.
The fix is building a brand system that actually works on real surfaces such as your website, your product, your outbound and not just in a Figma file nobody opens.
That's what we build at Bright Studios. The brand identity AND the website, shipping together. Because a brand that doesn't live on surfaces doesn't live at all.
A while back, I worked on a product where influencers could turn themselves into AI personalities, and users would pay to interact with them.
Not just chat. Calls, images, subscriptions to specific characters.
A layered monetization model:
- Tokens for usage (chat, calls, images)
- Subscriptions for deeper access
- Platform takes a % cut
On paper, it’s simple. In reality, it raises one core question: How do you design for long-term LTV in a product like this?
Because novelty fades fast.
You need to think about:
- Emotional retention (why come back to this AI?)
- Content freshness (does it evolve or feel static?)
- Progression (does the relationship deepen over time?)
- Spend loops (are users nudged without feeling pushed?)
And then there’s distribution.
We assumed desktop. We considered native apps. But real usage told a different story:
Mobile web won.
Which changes everything:
- Performance becomes product
- Friction = drop-off
- Payments, UX, and speed need to feel native without being native
Designing in this space isn’t just about UI.
It’s behavior, psychology, and business model. All tightly coupled.
Claude Code operators building high-converting landing pages — this is exactly the kind of role that's shaping the future of DTC brands!
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