The Better Marketing Blog
Better tips, tools, and tactics for the AI era.
Better tips, tools, and tactics for the AI era.

A great business advisor provides expert insights, strategic direction, and tailored guidance. But hiring one can cost thousands of dollars per month.
What if you could build your own AI-powered business advisor that knows your company inside and out, delivering customized recommendations anytime you need them?
If you’re already using the Media Shower AI Platform, we can build one for you, one that already knows your company and your business goals. (Click here for a free trial.)
If you’d rather build one yourself, watch the short demo below to learn the basics of using ChatGPT to create a virtual business consultant trained on your data, aligned with your goals, and ready to help you make smarter business decisions.
To build an AI business advisor, you need to structure the right information, train the AI effectively, and refine its responses.
Follow these steps to create your own.
Before training your AI advisor, define what information it needs. Don’t guess: Let AI help you organize it.
Prompt: “I’m building an AI-powered business advisor for my company. How should I structure the content it needs to learn?”
The AI will suggest key areas such as:
This structure will serve as the foundation of your AI business advisor.
Once you have a content structure, collect your data. The more relevant context the AI has, the better its advice will be.
Here’s what to include:
This process may take some time, but it’s essential for making sure your AI is well informed.
Rather than feeding the AI lengthy documents, ask it to generate concise summaries of your key business data.
Prompt: “Summarize our marketing strategy document in a way that an AI business advisor can use for recommendations.”
The AI will condense the information into key takeaways. You can refine these summaries before using them as training materials.`
We’re using ChatGPT for our example. Follow these easy steps to set up your advisor:
If you’re using another AI tool, it will probably have a similar process.
A well-crafted prompt (or instructions) defines how your AI advisor should think, respond, and act. This ensures it delivers tailored, useful insights rather than generic answers.
Here’s an example of a structured prompt:
You are Company X’s Business Advisor, trained on our company’s mission, customer insights, marketing strategies, financial data, and competitive landscape. Your role is to provide expert-level insights and strategic recommendations that are specific to our business.
Your job is to enhance decision-making, streamline strategy, and drive business growth.
Guidelines for your responses:
- Base your answers on the company data and strategy documents provided.
- Prioritize data-backed insights and suggest at least three actionable recommendations when applicable.
- Keep responses concise, professional, and relevant to our business goals.
- If needed, ask clarifying questions before providing a recommendation.
Examples of questions you might be asked:
- What marketing channels should we focus on to improve lead generation?
- Based on our customer data, how can we increase retention?
- How can we differentiate from our competitors?
- What key financial metrics should we monitor for growth?
A strong prompt is the secret sauce that determines the quality of your Business Advisor’s responses. You can add as much detail as you like.

Once your summaries and prompt are ready, upload everything into the AI system.
Once your AI business advisor is set up, test it by asking strategic questions. Your goal is to evaluate the quality of responses and refine as needed.
Here are some sample test questions:
- “Based on our customer data, what marketing strategies should we prioritize?”
- “Given our financial performance, should we expand into new markets?”
- “What are the biggest risks in our business strategy, and how can we mitigate them?”
If responses seem too broad or lack depth, tweak the training data and adjust the prompt. Iteration is a critical step for getting the best out of AI tools. Each iteration improves the AI’s performance.

Let’s look at how Emma, the founder of Summit Strategy Group, a marketing consultancy, uses her AI-powered business advisor to improve decision-making.
Emma wants to improve Summit Strategy Group’s lead-to-customer conversion rate, which currently stands at 12%. She knows that even a small increase could significantly impact revenue, so she turns to her AI Business Advisor for insights on optimizing the conversion process.
Question: “Our lead-to-customer conversion rate is currently 12%. What can we do to improve it?”
Business Advisor Response:
Improving conversion rates requires refining both the sales process and the lead qualification strategy. Here are three key improvements:
Emma wants to strengthen Summit Strategy Group’s competitive edge against larger agencies like GrowthWorks Marketing and Agile Digital Solutions. She needs a clear strategy to position her firm as the best choice for small to mid-sized businesses.
She asks her AI Business Advisor how to stand out.
Question: “How can we differentiate Summit Strategy Group from competitors like GrowthWorks Marketing and Agile Digital Solutions?”
Business Advisor response:
Summit Strategy Group has a unique position in the market due to its data-driven approach and specialization in small to mid-sized businesses. Here’s how to further differentiate:
Emma wants to ensure that Summit Strategy Group maintains sustainable financial growth. With steady revenue and a solid client base, she’s looking for the key financial metrics that will help her scale efficiently.
Question: “What financial metrics should we focus on to ensure sustainable growth?”
Business Advisor response:
To maintain sustainable growth, track the following key financial metrics:
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