4 Tips to Humanize AI Content for Cannabis Businesses and Dispensaries

Read time: 5 minutes
Robot waving as it drafts content

Written by: Tori Meiler

Use AI with Confidence

Ready to harness the power of AI without losing your human touch? Contact NisonCo today for a free consultation on how we can help you create a winning cannabis content strategy.

AI is everywhere, and if you’re not using it to generate content, will your cannabis brand be left behind? Indeed, there are clear advantages to being able to produce more quality content as long as you’re not falling into AI’s content creation faux pas.

Customers are getting savvy about spotting artificial content, and in an industry built on trust and authenticity, robotic writing can destroy credibility faster than you can say “AI-generated.” Research shows that consumers have mixed feelings about AI-powered advertising, with many expressing skepticism about brands that rely too heavily on artificial intelligence for customer communication. The solution isn’t abandoning AI—it’s learning to humanize it.

That’s why we’ve put together four proven strategies to leverage AI content strategy while maintaining the authentic voice your cannabis customers seek.

1. Recognize and Remove AI’s Telltale Signature

AI has developed a recognizable writing signature that savvy readers spot immediately. In 2025, consumers have become digital detectives, actively looking for signs of AI-generated content. They’ve learned to identify the patterns: excessive em dashes—especially without proper spacing, repetitive colon usage in headers, formulaic list structures, and that distinctly clinical tone that lacks genuine personality.

Understanding common mistakes of AI writing and how to avoid them is crucial for cannabis businesses that want to maintain credibility. The most frequent AI red flags include overuse of em dashes as transition tools, repetitive header structures like “Understanding X: A Guide,” excessive list formatting that disrupts natural reading flow, and generic opening sentences such as “In today’s evolving cannabis landscape.”

AI doesn’t understand the intricacies of the cannabis industry—it’s simply regurgitating information found on the internet without lived experience. This creates a fundamental disconnect between what AI produces and what cannabis customers actually are searching for. While AI-generated content often focuses on legal complexities and regulatory frameworks, customers are more interested in product experiences, safety information, and pricing that meets their needs, which at times can directly go against AI’s cannabis policies of what it’s “allowed” to say.

After AI generates your first draft, read it aloud. Does it sound like how you’d actually explain cannabis to a friend? Cannabis businesses using AI marketing services that prioritize human editing see significantly higher engagement rates because their content passes the “authenticity test.”

Before publishing AI-assisted content, use tools like NisonCo’s free E-E-A-T content analyzer to ensure your content demonstrates the experience, expertise, authoritativeness, and trustworthiness that search engines and readers demand.

2. Start with Human Insights, Not Generic Prompts

Generic prompts produce generic content that could belong to any dispensary or cannabis business. The difference between mediocre and exceptional AI content lies in the input, not the output. When you prompt AI with “write about cannabis vapes,” you’re guaranteed to get the same recycled information that appears on thousands of cannabis websites, or worse, a blog all about CBD vapes. But when you start with your unique human experience and specific customer insights, AI amplifies your authentic expertise.

Understanding prompt engineering fundamentals can transform your AI content from generic to genuinely helpful. The key is providing context, examples, and specific instructions that reflect your brand’s unique perspective.

Use your team’s collective knowledge as the foundation for AI content creation. Document real conversations by recording customer consultations or team discussions about common questions with proper permission. Instead of creating generic briefs like “write about terpenes,” develop detailed instructions such as “explain terpenes like our head budtender does—using the coffee analogy and focusing on the three most common questions first-time customers ask.”

This approach transforms AI from a generic content generator into a personalized writing assistant that understands your brand’s unique voice and perspective. Professional content creation services that follow this methodology consistently outperform generic AI content in both engagement and search rankings.

When working with AI tools or a team that’s leaning heavily on AI, consider the essential questions to ask to understand how professionals maintain quality while avoiding search engine penalties.

Woman sitting next to AI bot working on a computer.

Do more with AI while maintaining your brand’s unique voice by working with NisonCo to create a custom AI consulting strategy.

3. Craft Authentic Hooks That Break AI’s Default Narratives

Your opening determines whether readers engage with your content or immediately dismiss it as AI-generated. (If you’ve made it this far, that’s thanks to our hook.)

AI models have developed predictable opening patterns, especially for cannabis content. They default to broad industry statements, generic wellness claims, or outdated stereotypes that immediately signal artificial authorship.

The challenge runs deeper than most cannabis businesses realize. Recreational cannabis wasn’t legalized until 2012, but the content that most large language models were trained on spans over 100 years. This means decades of outdated and stigmatized cannabis rhetoric, language, and perspectives have been fed into these AI systems. When cannabis businesses use AI without imparting their authentic experiences into the content, they’re allowing historical context to dictate how the future of cannabis will be discussed. It’s up to current cannabis professionals to design the narratives and language by which they want cannabis to be understood.

Research on how good storytelling can benefit your cannabis company shows that authentic narratives significantly outperform generic content in building trust and driving engagement.

AI’s default cannabis narratives to avoid include opening with “The cannabis industry is rapidly evolving,” “As more states legalize cannabis,” or “Cannabis has been used for thousands of years.” These generic hooks lack personal context and repeat to the reader what they already know.

Instead, start with an honest hot take, a specific customer experience, or a unique industry insight that only your brand can provide. Your storytelling framework should focus on personal connection by exploring how the topic relates to your target audience and what fresh perspective hasn’t been covered extensively.

Remember, as pioneers in the cannabis industry, every authentic piece of content you publish helps reshape public perception and contributes new narratives to the datasets that train future AI models. Divisive cannabinoid language can impact consumers and companies—the words we use shape perceptions and can either build trust or reinforce harmful stereotypes.

4. Write First, Then Let AI Polish Your Creation

One authentic blog post monthly outperforms ten AI-generated articles. The most successful cannabis content strategy flips the traditional AI workflow. Instead of asking AI to create content from scratch, write your initial thoughts and ideas yourself, then use AI as a sophisticated editing assistant.

When brands first learn to use AI for content generation, their output suddenly jumps from a couple of blog posts monthly to dozens in the same timeframe. However, this quantity-focused approach often backfires. When content starts with human-written ideas, brands can be more concise and communicate their points effectively without the distracting elements of excessive lists and formatting that AI tends to favor.

Begin by brain-dumping your expertise. Then, use AI for organization, letting tools help arrange your ideas into logical flow and proper formatting. Leverage AI editing tools like Grammarly that can improve clarity without changing your voice. Finally, let your piece breathe for a little and come back with fresh eyes.

Search engines increasingly favor content demonstrating genuine expertise and experience. Understanding 5 ways a cannabis blog writer can boost your SEO demonstrates that sustainable content marketing requires balancing efficiency with authenticity. One well-researched, genuinely helpful post that resonates with your specific audience will always outperform multiple generic articles that require constant updates to remain relevant.

Focus on creating evergreen content that builds lasting value rather than chasing short-term volume metrics. This approach not only improves your search engine rankings but also establishes your brand as a trusted resource in the cannabis community.

 

Be Confident Using AI for Your Content

The goal isn’t to eliminate AI from your content creation process—it’s to ensure that every piece of content, no matter how efficiently produced, carries your authentic voice and serves your customers’ real needs. By recognizing AI’s limitations, starting with human insights, crafting genuine narratives, and prioritizing quality over quantity, cannabis businesses can harness AI’s efficiency without feeling icky.

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