Three major AI blunders and how to fix them
Learn how to prevent shallow AI copy, frustrating chatbots, and off-brand graphics using validation checklists, boundary settings, and prompt engineering.
In this issue
Right, so…
It’s no secret that we think AI is a powerful and useful tool for marketers. But that doesn’t mean there aren’t some big blunders that can happen.
You know… Shallow content generated at scale that actually hurts performance, clueless chatbots that frustrate customers instead of helping, ad creatives that look like stock photos and lower your ROAS.
We thought we should regularly look at and help with some of these AI traps, so a marketer like yourself doesn’t fall into them. Let’s dive in.
Copywriting without an expert filter
AI spits out text that looks fine at first glance. It’s grammatically correct and sticks to the topic.
The problem?
This content is often shallow, packed with industry buzzwords, and completely strips away your unique brand voice.
The result? Your campaign CTRs can plummet. What’s worse, AI doesn’t get the legal nuances in regulated industries like finance or supplements. One slip-up there could cost you more than the entire campaign.
Here’s how to fix it:
- Create a rock-solid validation checklist: fact-check everything, and verify CTAs and regulatory compliance for every single piece of copy.
- Treat AI as a research and drafting assistant, not the final author. The final sign-off is always human.
- Run an A/B test: pit the performance of “AI-only” copy against “AI + human edit” copy. The data won’t lie.
Prepare: Without a solid review framework, you’re exposing your company to AI-driven errors, GDPR violations, and copyright infringements.
The chatbot that creates problems instead of solving them
Customer support or frustration factory? What is your AI chatbot?
The goal was to lighten the load on your support team, but instead, it doubles their work. Automated chatbots are great at handling simple, repetitive questions, but they get lost in non-standard scenarios and start spitting out wrong answers.
What’s the outcome? Annoyed customers, rising support costs from constant escalations, and a tanking LTV. Instead of saving money, you’re unintentionally building a barrier between your brand and your customers.
Your steps to fix this:
- Set hard boundaries: The bot handles simple FAQs only. Complex issues must be routed directly to a human. No exceptions.
- Add a visible “Talk to a human” button. Don’t hide this option. It’s your safety net for customer retention.
- Measure NPS after every bot interaction. This will give you real data on customer satisfaction (or the lack of it).
Abandonment issues: This isn’t just a minor inconvenience. 57% of customers abandon their purchases due to poor service, and not being able to quickly reach a human is a primary source of that frustration (39%).
Off-brand AI-generated graphics
AI tools can whip up gorgeous images in seconds.
The problem? They often have zero connection to your brand. They ignore the brand book, churning out ads that look like generic stock photos. The result is a total lack of consistency and possibly a nosediving ROAS.
Here’s a quick playbook to fix this issue:
- Create an “ironclad” prompt: Define your fixed color palette, style, and key visual elements. For example:
“Create an ad banner graphic for [insert ad concept here] for company XYZ, strictly adhering to its brand book guidelines. Use a fixed color palette: deep navy, warm gold, light beige, and muted emerald green. The style must be modern, minimalist, and elegant, featuring simple geometric lines and subtle gradients. The company’s logo and slogan must be visible on the banner in a legible typography that matches the brand book. Always apply consistent lighting—soft and directional from the top-left corner, with delicate shadows. The background can feature simple geometric forms or gradient transitions within the established color palette. The entire design should reflect the brand’s values: innovation, trust, and premium quality. The graphic must look like an integral part of the XYZ visual system and be fully compliant with its brand book.”
- Establish a human review gate: Every single graphic gets a sign-off from a designer before it goes live. No exceptions.
- Build your own “AI-Approved” asset library: Save the prompts and variants that perform best and use them as your starting point for new creatives.
Bonus: Create a Gem, a GPT, or similar personalized AI that contains all your essential brand guidelines in its core instructions and get its help to create the prompt for the image that still aligns with your brand. In other words, let AI mix your desired image with your brand guidelines.
Branding builds trust: According to a Shapo.io report, 81% of consumers need to trust a brand before they buy, and using signature colors can boost brand recognition by up to 80%.
You have the starting point for damage control for AI
Left unchecked, AI in marketing can end up being a saboteur. Without human review, your generated content tanks key metrics, your chatbots frustrate customers, and your ad creatives destroy brand consistency.
Instead of blindly automating, treat AI as an assistant: use it to create drafts, handle simple questions, and generate baseline graphics.
The key to success lies in control enforced by checklists, clear boundaries, and precise prompts. Only then can AI become a real asset instead of a source of hidden costs.
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