How can marketers move beyond generic AI prompts and get consistently useful results from tools like ChatGPT and Claude? What kinds of prompts are experienced marketing leaders using to accelerate research, sharpen messaging, and generate better ideas? And how can marketers turn AI from a novelty into a practical daily productivity tool?
For those in the B2B marketing, content marketing, and digital strategy communities, this report provides a practical look at how experienced marketers are actually using generative AI in their daily workflows. Rather than focusing on abstract AI theory, the report offers specific prompts and use cases that help marketers brainstorm ideas, analyze audiences, develop content, and extract insights from data.
Here are six ways to use AI in marketing plus two additional key findings from the report’s authors, based on input from marketing experts like Andy Crestodina, Gini Dietrich, Neal Schaffer, and Jim Harris.
1. Using AI prompts to accelerate research
One of the most practical uses of AI highlighted in the report is research. Marketers often spend hours gathering information about competitors, audiences, or industry trends before launching campaigns. The report shows how using structured prompts with conversational AI chatbots can dramatically speed up that process.
For example, one prompt asks AI to act as a market analyst and summarize the most important trends in a specific industry segment. Another encourages the AI to identify emerging topics that competitors may not yet be covering. By clearly defining the role the AI should play and the type of output required, marketers can generate research summaries that would otherwise take hours to compile manually.
2. Turning AI into a brainstorming partner
Creative ideation is another area where AI prompts can provide significant value. The report includes several prompts designed to help marketers generate fresh campaign concepts, blog topics, and social media angles.
One example prompt asks the AI to produce ten unconventional marketing ideas for a specific product, emphasizing originality rather than conventional tactics. Another prompt instructs the AI to analyze a target audience and propose messaging angles that would resonate with different customer segments. These types of prompts transform AI from a simple writing assistant into a brainstorming collaborator that can help break through creative blocks.
3. Using prompts to refine messaging
Many of the prompts in the report focus on improving marketing copy. Instead of asking AI to simply “write a headline,” the examples encourage more detailed instructions.
For instance, one prompt asks the AI to rewrite a piece of marketing copy in three different tones: authoritative, conversational, and provocative. Another prompt requests several variations of a value proposition tailored to different buyer personas. This approach helps marketers quickly test alternative messaging strategies before deciding which version best aligns with their brand voice and campaign objectives.
4. Improving content outlines and structure
One example asks AI to generate a detailed outline for a blog post that answers common customer questions about a particular product category. Another prompt encourages the AI to structure an article so that it addresses both beginner and advanced readers. These prompts help marketers move quickly from a blank page to a structured framework that can then be refined by human writers.
5. Extracting insights from customer conversations
The report also demonstrates how AI prompts can help marketers analyze qualitative feedback from customers.
One prompt instructs AI to review customer reviews or social media comments and identify recurring themes, frustrations, and feature requests. Another asks the AI to summarize sentiment patterns from online discussions about a brand. These prompts illustrate how generative AI can function as a lightweight analysis tool, helping marketers surface insights from large volumes of text.
6. Using AI to simulate audience perspectives
Another interesting set of prompts involves asking AI to role-play different customer personas. By instructing the AI to respond as a specific type of buyer, marketers can explore how different audiences might react to a product message or marketing campaign.
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For example, one prompt asks the AI to evaluate a marketing message from the perspective of a skeptical buyer. Another asks it to identify potential objections a prospect might raise during the decision-making process. While these simulations are not a substitute for real customer research, they can provide useful starting points for refining messaging and anticipating concerns.
Prompt structure matters more than prompt length
A key takeaway from the report is that effective prompts are rarely one-sentence instructions. The most useful prompts provide context, define a role for the AI, and specify the format of the response.
For example, instead of simply asking “What are some marketing ideas?” a more effective prompt might say: “Act as a senior B2B marketing strategist and propose five campaign ideas for a cybersecurity SaaS company targeting mid-market IT leaders. For each idea, explain the audience insight behind it and the expected marketing impact.”
This structured approach tends to produce much more relevant and actionable output.
AI prompts still require human judgment
While the report highlights many useful applications for AI prompts, it also implicitly reinforces an important point: prompts are tools, not substitutes for expertise.
The best prompts still depend on the marketer’s ability to define goals, interpret outputs, and refine the results. AI can accelerate idea generation and analysis, but the responsibility for evaluating those ideas still belongs to the human marketer. In practice, the most effective workflows combine AI speed with human judgment.
Final thoughts on AI prompts for marketing
As generative AI becomes more widely integrated into marketing workflows, the challenge for many professionals is figuring out how to use these tools effectively. The examples in 20+ AI Prompts from Top Marketing Pros from Brand24 show that the key is not simply asking AI to produce content. Instead, the most valuable prompts guide the AI toward specific tasks such as research, ideation, analysis, and messaging refinement.
For marketers who want to move beyond experimentation and start using AI more strategically, this report offers a helpful set of starting points. By studying and adapting the prompts shared by experienced practitioners, marketing teams can begin to integrate AI into their everyday work in ways that save time, spark creativity, and improve decision-making.
ChatGPT assisted with research for this post.