Use This AI Prompt to Create LinkedIn Posts Your Compliance Team Won’t Redline

Financial advisors have a wealth of specialized knowledge, and LinkedIn is an ideal platform to share it with prospective clients. However, any public-facing content from your firm must remain compliant with industry regulations, such as those set by the Financial Industry Regulatory Authority (FINRA) and the Securities and Exchange Commission (SEC).

AI can help you draft and refine communications that deliver educational insights and avoid biased, overly promotional, and legally dicey language, but you need a well-structured prompt to get usable results.

Goal of the Prompt

As a financial advisor, your LinkedIn content needs to be easy to understand without drifting into recommendations, guarantees, or promotional claims. This prompt is designed to help you clearly showcase your financial expertise to build trust with prospective clients on LinkedIn while maintaining a compliance-aware approach.

A Prompt To Explain Financial Topics and Processes in Plain Language on LinkedIn

Below is a structured prompt designed to help you educate and engage your LinkedIn followers on financial topics in a clear, yet compliant, manner. You don’t need to use the prompt exactly as presented, but these basic components should be included to ensure a strong output.

Persona: You are an independent financial advisor at a small firm, writing a LinkedIn post for your business account.
Context: I want to grow my professional network and attract potential clients by positioning myself as a trusted, approachable resource for people who need financial guidance but feel overwhelmed by the industry or unsure where to start.
Objective: Draft an informative and succinct LinkedIn post that clearly explains and simplifies what consumers can expect from working with a financial advisor. The post should educate readers, build credibility, and encourage awareness of an advisor’s expertise without soliciting specific services or outcomes.
Audience: Existing LinkedIn connections and prospective clients who are unfamiliar with financial services terminology and are seeking general education before engaging an advisor.
Tone: Professional, knowledgeable, and reassuring, using plain language suitable for non-industry audiences.
Format: A scannable LinkedIn post of 150 words or fewer, with 2-3 sentences per paragraph. Include one short bulleted list per post.
Constraints: Exclude client-specific data, investment recommendations, or market forecasts.

Sample Output

For this example, we tested our prompt with ChatGPT 5.2, though you can use it with other Large Language Models (LLMs), such as Claude, CoPilot, or Gemini. The following was the response generated:

Many people put off talking to a financial advisor because they’re not sure what that first conversation actually involves. It’s often less technical—and far more approachable—than people expect.

A first conversation is typically about listening, not selling. The goal is to understand your situation, your questions, and what’s feeling confusing or overwhelming, using plain language instead of industry jargon.

Here’s what you can usually expect:

• A high-level discussion of your goals and concerns
• Basic questions about your financial picture (nothing too detailed yet)
• An explanation of how an advisor thinks about planning and decision-making

There’s no pressure to have everything figured out. A good advisor’s role in that initial meeting is to help you make sense of where you are, clarify next steps, and decide whether working together would even be helpful for you.

Refining the Response

The more context and specificity you provide an LLM, the better its outputs will be. To get the best results, use follow-up prompts to refine the output and further align it with your objective.

Here are some sample responses to help guide your conversation: ​

• “Add one example to make the first-meeting process feel more concrete for readers who are new to financial planning.”
• “Remove any Oxford commas and flag one place where a quote or statistic could be naturally added.”
• “Revise this content to target small business owners and entrepreneurs instead of individual consumers.”
• “Adapt this response into a succinct Instagram caption that uses the same tone of voice and key points while avoiding technical terminology.”

Other Tasks This Prompt Can Accomplish

By slightly tweaking this prompt, you can use it to help with a wide range of communication tasks, including:

• Drafting education-focused thought leadership: Expand the output into longer-form posts, blog articles, or educational email content that explains financial concepts simply without promoting specific services.
• Preparing clients for common financial conversations: Adjust the context to guide readers through conversations they may have with their financial advisor, including planning, reviews, and onboarding.
• Creating other short-form social posts: Modify the format and length to produce concise video scripts or graphic elements for social networking platforms beyond LinkedIn.
• Establish clear next steps: Create follow-up posts and templated client engagement responses to help readers understand the next steps for working with you without implying commitment.

AI Prompt Best Practices

When using AI professionally, follow these best practices to ensure the right results.

• Always include context, objective, and format in prompts. To guide the model toward more accurate outputs, OpenAI itself recommends straightforward, explicit prompts that outline desired length, structure, and tone.
• Use AI for drafting, not publishing. AI can support you in the drafting stage, but outputs should always be reviewed and edited by a human for accuracy, clarity, and compliance before posting.
• Refine the response with additional information if the initial output is lacking. Most AI tools perform best when prompting is treated as an ongoing conversation rather than a one-time request.
• Test AI on internal, low-risk tasks first. Before integrating AI broadly into your workflow, test it internally on small, low-stakes use cases to better understand its limitations and capabilities.
• Never include personal client information in prompts. LLMs can be vulnerable to prompt manipulation and data exposure. To protect clients’ data and avoid violating privacy obligations, omit all personal or sensitive information from your prompts.

A Model Prompt You Can Reuse

If you’re unsure where to start when drafting your own compliance-friendly prompt, use this model as a guide and make adjustments as necessary to get the results you want.

Persona: Describe the role you want AI to play (e.g., productivity coach, client educator, communications assistant).
Context: Briefly describe the situation or background for the task.
Objective: State what you want the AI to achieve—summarize, educate, rephrase, outline, etc.
Audience: Define who the content is for (e.g., retirees, colleagues, prospective clients).
Tone: Specify the desired style or tone (e.g., empathetic, professional, clear, educational).
Format: Indicate the form of the output—short paragraph, email draft, bullet list, LinkedIn post, etc.
Constraints: List compliance or content limits (e.g., no investment advice, no client identifiers, no forecasts).

The Bottom Line

With the right prompts, financial advisors can use AI to communicate more effectively, freeing up time to focus on client relationships rather than content creation. This prompt offers a practical starting point for streamlining your thought leadership content while keeping regulatory constraints front and center.