8 AI Tips for Marketers You Probably Haven’t Tried

As AI continues to barrel towards change, there’s always a new AI use case (more like many) for marketers to try.

That’s why the team at AMA-Madison teamed up with AMA-Milwaukee, and AMA of Northeast Wisconsin to arrange an AI-focused panel session featuring three experts:

• Spencer X Smith, Founder of AmpliPhi Digital
• Jo Phillip, Director of Creative Strategy at Weidert Group
• Michael DeNunzio, Managing Director at PVAI Consulting Group

All three of our guests shared powerful ways to maximize AI’s potential. Here’s how to elevate your AI game with tips that might surprise you.

8 AI Tips for Marketers You Probably Haven’t Tried

1. Rate Your Prompts to Improve Output

Insight from Spencer

Sometimes we think we’re giving AI a clear direction, but weak prompts lead to underwhelming results. Spencer recommends asking the AI itself to “rate” your prompt. With this, you ask AI to rate your prompt on a scale of 1-10 and explain any weak points. This technique helps refine prompts quickly so you can get higher quality output in less time and create a more interactive and conversational AI experience.

2. Build AI Personas to Enhance Specialized Content

Insight from Jo

Creating relevant, technical content requires a strong understanding of the subject matter, something that Jo deals with daily in her work. Fortunately, AI has helped the research phase be faster, more effective, and interactive for her. To bridge her knowledge gaps, Jo customizes AI personas tailored to the specific fields that the subject matter experts she interviews are a part of. Before her interviews with experts, she “instructs” the AI to act as her interviewee to simulate expert answers. This way, she can ask the AI clarifying questions and get comfortable with the jargon before the real interview happens. She’s found that this approach lets her ask deeper questions without needing to review basic concepts during the actual interview, leading to more in-depth, unique conversations and ultimately, better content.

3. Combine Multiple AI Tools for Advanced Market Research

Insight from Michael

It’s no secret that you can get tunnel vision when it comes to AI. To minimize this effect while performing advanced market research, Michael’s team has started using three AI tools in tandem: ChatGPT, Perplexity, and Google’s Notebook LM. Michael explained that each of these tools offers unique strengths and by cross-referencing responses across all three of them, they can get more well-rounded perspectives and even discover creative ideas the team never would’ve arrived at using a single tool alone. So far, these tools combined have saved Michael and his team 50-70% in time and even yielded them richer insights. Michael recommends this approach, especially for companies seeking a deeper understanding of diverse or niche markets.

4. Automate Notetaking and Use AI to Analyze Interviews

Insight from Jo

You’ve probably tried recording meetings for notetaking, but what do you do after the meeting? Jo shared her process as someone who regularly conducts interviews.

When conducting interviews, Jo uses AI to transcribe and analyze conversations in real time. This way, she can be fully present, connect with her interviewees person to person, and ask better follow-up questions in the moment rather than worrying about scribbling down every thought being discussed. Then, to streamline the writing process, she uploads transcripts into the AI to scan for repeated themes, key phrases, or unique ideas. Jo explained that this analysis step helps her identify insightful quotes for video snippets and other content to repurpose the interview conversation.

5. Create Fictional AI Advisory Panels for Broader Insights

Insight from Michael

Looking to do market research or customer persona development for your brand? Michael suggests a creative approach: building fictional AI advisory panels. His team asks the AI to create a panel of specialists in various disciplines, like “a social media expert” or “someone who’s a world-class *fill in the blank*”, and asks the AI to create fictional names and bios for them. Then, they can run all of their analysis through the panel, asking it to discuss and debate their findings. This strategy provides valuable input from varied perspectives and has been a game-changer for refining campaign strategies. Michael finds it especially useful when the team needs input in areas where expertise may be limited, as the “panel” can offer perspectives they wouldn’t have considered otherwise.

6. Ask AI for Framework-Based Summaries for Concise Reports

Insight from Spencer

Communicating key insights quickly is crucial for marketers, but it can be time-consuming when you’re dealing with large amounts of data and long reports. To accelerate the process, Spencer recommends prompting AI to use established frameworks, like the Minto Pyramid, which presents the main point first, followed by supporting details. This is a quick strategy to get summaries of findings in a clear, prioritized format, making for easier intake.

Another option Spencer recommended is using Edward de Bono’s Six Thinking Hats for comprehensive analysis, where the AI evaluates strengths, risks, and new ideas. This approach is especially helpful for campaign recaps, as it offers well-rounded summaries that are concise yet thorough.

7. Enhance Your Content’s Accessibility Through AI

Insights from Jo and Spencer

Jo and Spencer both use AI to improve accessibility. Jo uses AI to create audio summaries, transforming written content into narrated files, which benefits auditory learners and people with visual impairments. Audio files can even come in handy if you’re busy driving around town or commuting and want to take in information. Additionally, Spencer’s team has also used AI to evaluate website colors for ADA compliance, ensuring better readability. Both Jo and Spencer emphasized that these accessibility enhancements expand content reach and usability, making information accessible to diverse audiences.

8. Adopt a “What-If” Mindset to Stay Agile in the AI Landscape

Insight from Michael

Michael believes that forward-thinking marketers should regularly ask, “What if?” to stay agile as AI advances. For example, he advises asking, “What if AI could handle 90% of our copywriting or PPC management?” This reflective approach allows marketers to take what could otherwise be a scary thought one might want to avoid, and instead prepare for rapid changes. This way, you can ensure you’re brushing up on your skills and doing your best to stay relevant in an evolving job market. Michael also suggests that leaders encourage this mindset within teams to foster adaptability. This is valuable, too, because understanding what’s possible will help you align skills with the future of AI. Staying curious and open to new possibilities is essential in the AI age. Like so many innovations throughout time before it, it’s going to profoundly change the way we perform our jobs, and this will continue to evolve, so going with the flow is going to be vital.

Keep the Conversation Going

AI is always growing and evolving, so it’s worth keeping the conversation going by regularly exchanging your new prompt discoveries and use cases with your peers.

Liked these tips? Follow Spencer, Jo, and Michael on LinkedIn to hear more from them, and be sure to share this recap with others in your network.

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