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Part of the AI Slop / Honest AI Series →

We Have a Moral Problem With Marketing

September 15, 2026 · Aaron Loveland, Founder
In This Post
Why Aaron Loveland built Loveland Brand Design around one filter: only take work he can defend publicly. A founder's case for honest marketing.
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Short answer: "We have a moral problem with marketing." I wrote that line as a statement of fact, not a hook. I built a company on it.

The problem, stated plainly

Most marketing sells outcomes it cannot promise, in language built to survive without ever being checked. An agency invoices monthly for undefined "ongoing work." A vendor quotes "voted best in the region" with no source attached. A retainer runs indefinitely because ending it would mean admitting nothing measurable happened. None of that requires artificial intelligence. It only requires an industry comfortable profiting from vagueness.

AI made that vagueness cheaper to produce. The first piece in this series names the exact pattern: language generic enough to describe any business, attached to none of them specifically. The audit that followed it scored twelve real small business websites against that pattern and found budget had nothing to do with the result. The tool changed. The underlying incentive, an industry that profits more from motion than from proof, stayed exactly the same.

Why I built it this way

I started Loveland Brand Design in 2008 and formalized it as an LLC in 2018. Twenty-plus years in brand and marketing strategy taught me one thing before I wrote a single page of copy for this firm: the incentive structure decides the behavior. Fixed scope, fixed fee, no hourly billing, ever, answers that problem structurally. An hourly agency earns more the longer a problem stays unsolved. A fixed-fee engagement with a named deliverable earns out by finishing it. Those two models reward two different behaviors, and I built LBD around the one that has to finish to get paid.

The filter, in practice

Ethical. Aligned. Engaged. Easy to work with. One client like that beats a hundred who only pay better.
Aaron Loveland, Founder

Every prospective client goes through that filter before I take the engagement. Is the work itself ethical. Does the business operate through a moral compass that lines up with mine. Is there real energy on their side to build something together. And, plainly, is this someone I actually want to work with. If any of those come back no, I decline the work, regardless of budget. Some prospects hear that and walk away, and that is the correct outcome for both of us. Fit over force works the same way in every conversation: certain engagements end at "this is not the right fit" instead of ending eighteen months later in a dispute over what was actually promised.

Where AI actually fits

I use AI throughout my own process, and I say so openly. Every draft that reaches a client passes through a person before it ships, specifically me, checked against the same five patterns that define slop in the first place. AI is a tool. The person using it stays accountable for what it produces. Specificity comes from someone who actually knows the business being written about, then gets checked by a human willing to put a name on the result. The fastest, cheapest version of that process skips the checking. That is the version I will not publish under my own name.

The invitation

If a marketing company cannot tell you, specifically, what you are paying for and why the engagement will end, that is worth noticing. I built LBD so that question would always have a real answer.

Ready to build?

If I could not defend it, I would not build it.

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LOVELAND. Brand Design

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