AI Revolution: 4 Ways to Boost Chicken Marketing

Artificial intelligence (AI) could revolutionize how poultry marketers and sales professionals work, allowing them to accomplish in minutes what used to take hours.

During the Animal Agriculture Alliance Stakeholders Summit, Steve Lerch, president of Story Arc Consulting and former Google executive, showed agricultural professionals how free generative AI tools like ChatGPT, Google’s Gemini and Microsoft’s Copilot can help boost productivity, improve client communications and generate compelling content that drives sales.

These tools function like having a marketing and sales expert available 24/7, ready to solve any challenge instantly while requiring zero technical skills. For chicken marketing and sales teams, this means immediate improvements across four critical areas that directly impact your bottom line.

1.Campaign ideation and strategy development

Finding new ways to market chicken products can be hard. Generative AI tools are great for this. Just type something like, “I’m launching a new line of antibiotic-free chicken breasts for health-conscious millennials. Give me 10 marketing campaign ideas that focus on sustainability and health benefits.”

These tools can quickly create a potential list of solid campaign concepts — everything from influencer partnerships to retail positioning strategies. If the initial ideas aren’t quite right, don’t worry. Respond to the initial query by asking for specific social media ideas, pricing strategies or ways to position chicken products against beef and pork.

2. Simplifying complex information for sales success

AI can transform dense industry reports into compelling sales tools. Upload that 50-page nutrition study collecting dust on your desk and ask for the five key points that would actually matter to a foodservice buyer.

3. Content creation that gets results

Marketing ROI improves dramatically when you can create more content faster. AI can change technical product specifications into engaging social media campaigns, convert research studies into compelling email sequences and generate sales presentations tailored to specific customer segments.

Try this: “Write 10 LinkedIn posts targeting foodservice buyers for our fresh, never-frozen chicken thighs. Make them professional but engaging, focusing on convenience and flavor benefits.” The result: a month’s worth of social content optimized for B2B engagement, complete with relevant hashtags and call-to-action suggestions.

For sales teams, AI crafts personalized email sequences for different customer types. Whether approaching a new restaurant chain or following up with an existing distributor, AI creates messages that match your voice while addressing specific customer pain points and opportunities.

4. Enhancing existing sales materials and presentations

Beyond creating from scratch, AI can also enhance existing sales and marketing materials. Upload your standard product presentation and ask AI to make it more compelling for millennial consumers, more data-driven for procurement managers or more sustainability-focused for corporate buyers.

Sales reps can paste customer objections and receive multiple response strategies. Marketing teams can input competitor messaging and get positioning recommendations that differentiate their chicken products effectively.

Taking the GenAI plunge

Getting started requires no technical expertise — just type questions into what resembles a search bar. The key is specificity about your role, products, and target market. Instead of asking “How do I sell more chicken?” try “I’m a foodservice sales rep selling fresh chicken breasts to mid-tier restaurant chains in the Southeast. How can I position against frozen competition and emphasize quality advantages?”

When creating content about chicken products, AI automatically incorporates food safety messaging, addresses common consumer concerns about hormones and antibiotics and highlights protein benefits that resonate with health-conscious buyers.

The technology isn’t perfect and occasionally produces inconsistent results. For example, I ask AI all the time to brainstorm headline ideas. I didn’t like any of the ideas for this blog. It’s also important to verify that what the tools generate is factually accurate. Just a few weeks ago, an AI-generated summer reading list went viral for hyping up several books that didn’t exist.

However, AI is accurate more often than not and improving rapidly. The real risk isn’t AI making mistakes — it’s losing market share to competitors who leverage these tools for faster response times, better content, and more effective sales strategies.