Are You Making These AI Content Mistakes?
We’re at a point where only a few prompts stand between a marketer and all the content they technically need to run a complete marketing campaign. Given budgetary and time constraints, just letting the AI take care of it all sounds very tempting. Giving in might provide a ton of content, but it’s harmful in the long run.
Outright rejecting AI’s help would hamstring your marketing efforts. But using it mindlessly isn’t much better, either. Here are the mistakes that tend to creep up when creating marketing content with AI, complete with practical tips on how to avoid them.
Overreliance on AI
Publicly available AI models aren’t exactly known for their insightful, targeted, and context-specific output. Surface-level copy and generic-looking visuals dominate the internet and are increasingly creeping into the real world as well. People can now spot such content from a mile away. Worse yet, the companies that put it out indiscriminately are seen as less creative and less trustworthy.
The fix:
Nothing an AI produces should be published outright without being vetted and expanded upon by humans first. It's on you and your team to take the first draft an AI produces and inject it with the editing, real-world experiences, and other quintessentially human qualities that make the end result appealing to people, not just search engines and social media algorithms.
Lack of Originality
AI content generators are great at cranking out variations on the content they’re trained with. However, they’ll never produce an iconic slogan like “Just do it” or the Hope poster. The best you can hope for is yet another generic article that covers the same points from the same angles as those on your competitors’ blogs. And where’s the value in that?
The fix:
Treat the content you produce as a core part of your company’s unique value proposition. That means addressing niche subjects you’re experts at as well as offering unique insights and perspectives audiences can’t get anywhere else.
It’s important to distinguish polish from value. With enough tweaking, a social media post or explainer video that started with an AI prompt can come off as genuine yet say nothing new.
Poor Fact-Checking
AI tools, especially LLMs, still have a glaring flaw. They’ll answer every question exhaustively and confidently, even if it means making up facts and figures to plug the holes in their training data. Presenting these as facts can mislead customers and put your reputation in jeopardy, not to mention lead to compliance issues.
The fix:
Never assume that AI-generated responses are correct or represent the complete picture. Even if they're not outright hallucinated, outputs can still rely on outdated information or biases, which you'll want to uncover and address.
Ironically, AI agents for marketing make this easier and more consistent. You and your team can set up an AI agent that pulls sources, checks claims, and assesses generated content, complete with reasoning. Human oversight should still be final. But, this way verification can happen at scale and as a core part of the publishing process, not something someone may or may not do.
Lazy Prompting
AI is not immune to the "garbage in, garbage out" principle. You might not be able to improve the quality of its training data, but there's a lot you can do to get quality outputs just by prompting better.
The fix:
Good piece of technology advice: learn prompting as it has become an essential skill for effective AI use. Provide the AI with as much tangible info as you can, like:
The format
A point of view (a senior marketing analyst, a lifestyle influencer, etc.)
The audience you’re writing for
Examples of past content that performed well
Constraints (no clichés, topics to emphasise or avoid, style preferences, etc.)
Tone of voice
Acceptable levels of complexity and jargon use
The prompt that explicitly states these will be an excellent starting point for further refinement.
Ignoring Your Brand Voice
AI-generated content is fundamentally at odds with any brand’s greatest asset – authenticity. Maintaining that authenticity means projecting the same messages in a recognizable tone throughout all your active channels. It’s a careful balancing act best left to a detail-oriented marketing pro, not an AI model with a tendency for samey, lukewarm responses that sway no one by appealing to everyone.
The fix:
Maintaining your brand's distinct personality is a matter of careful prompting and manual review. Providing branding and tone guidelines results in AI-generated content that is more in line with your standards. From there, it's a matter of refinement. Add details like product specifics or phrases the AI couldn't invent and emphasize desirable opinions or points of view in targeted rewrites.
Blindly embracing AI in content creation leads to generic, untrustworthy results that alienate audiences. True value emerges only when human expertise critically shapes and refines AI output. If you’ve been making these mistakes, it's time to re-evaluate your approach to leverage AI effectively.