When Markets Move Fast, Use This AI Prompt To Keep Clients Informed

When the market is turbulent, time is of the essence for investors. Financial advisors don’t want to spend precious time carefully crafting commentary for their clients when doing so might mean missing out on potential investment opportunities. AI can be a useful tool to create this language, but it’s vital to find the right prompt first.

Goal of the Prompt

Clients benefit when an advisor’s market commentary is clear, concise, and actionable. A successful AI prompt can help distill the most important updates from a busy market day and offer clients language that is personalized, timely, and centered on shared, established long-term investment goals and philosophies.

Crafting an AI prompt to help with this process will require you to clearly identify the goals and the client audience you aim to serve. You’ll also want to be sure the commentary is easily digestible, level-headed during times of high volatility, and free of guarantees or predictions that might risk running afoul of compliance.

An AI Prompt To Translate Market Moves Into Client-Ready Commentary

Below is an example of an AI prompt to help you quickly generate client-facing commentary when the market is moving. You’ll want to customize the details to fit your clients, practice, and goals, but the basic structure should remain fairly consistent across advisors.

Persona: You are a financial advisor writing commentary for clients amid significant market movement. [You may also want to specify a particular timeframe.]
Context: A client needs to know recent market movements, including what happened and when, as well as any major drivers that affected them. The client is a retail investor with a modest risk tolerance and goals of preserving capital, achieving long-term wealth appreciation, and saving for retirement.
Objective: Draft a market commentary that addresses the what, when, and why behind noteworthy movements in the market, explains steps you are taking as the advisor in response to these events, and puts these examples in historical context while reinforcing a disciplined approach to investing based on planning and diversification.
Audience: Clients in their 40s with years of experience with my practice.
Tone: Knowledgeable, empathetic without being alarmist, level-headed, and professional.
Format: 3-4 paragraphs suitable for an email.
Constraints: Omit client-specific data, recommendations, and forecasts.

Sample Output

The response below was generated using ChatGPT-5.2, but could also be used by other popular LLM platforms like Claude or Gemini.

Dear [Client Name],

Over the past several weeks, financial markets have experienced a noticeable increase in volatility, with sharp day-to-day swings across both equity and bond markets. These moves were driven less by a single event than by a combination of factors unfolding over a short period, which naturally drew investor attention. Periods like this can feel unsettling, particularly when market headlines focus on short-term performance rather than long-term progress.

Several key drivers contributed to the recent market movement. Economic data releases have been mixed, reinforcing uncertainty around the pace of growth, while ongoing discussions around interest rates and inflation expectations have continued to influence investor sentiment. In addition, geopolitical developments and policy-related headlines added to market sensitivity, amplifying reactions to new information as it emerged. When multiple uncertainties converge, markets often reprice risk quickly, leading to the kind of volatility we’ve recently seen.

Importantly, this type of market behavior is not unusual when viewed through a historical lens. Similar episodes have occurred many times over the past decades, often during periods of economic transition or policy adjustment. While each instance feels unique in the moment, history shows that markets have repeatedly navigated uncertainty, rewarding patient investors who stayed aligned with their long-term plans rather than reacting to short-term noise.

Times like these serve as a reminder of the role that planning, diversification, and discipline play in long-term investing. Market fluctuations are an inherent part of the journey toward long-term wealth accumulation and retirement readiness. By keeping perspective and focusing on established financial goals, investors are better positioned to navigate volatility without losing sight of what matters most.

Refining the Response

Using an AI platform repeatedly for a task such as this will help generate higher-quality responses through refined prompts and feedback. Consider starting with these suggestions to help tailor your response to clients:

• “Provide a bullet-point breakdown of the key points for clients looking to digest this information quickly.”
• “Adjust the tone to be more direct with clients preferring a less formal mode of engagement.”
• “Revise this prompt to address client concerns about short-term movements that could seem to wipe out longer-term progress.”

Other Tasks This Prompt Can Accomplish

• Add an educational component: Consider using a market event to illustrate phenomena important to investors, such as the turn-of-the-month or January effects.
• Provide proactive reassurance: Building a focus on empathy and clarity can help your message to clients reassure them when market behavior prompts them to question their approach.
• Explain complex news events: Investors may not realize the link between cause and effect in the markets; this prompt can help to provide some clarity.

AI Prompt Best Practices

• Always include context, objective, and format in prompts. According to MIT, utilizing specific details about context, objective, and format will improve prompt results.
• Use AI for drafting, not publishing. Beware that AI is subject to flaws and even biases. This makes it a useful tool for collaboration, not something to blindly rely on.
• Refine the response with additional information if the initial output is lacking. OpenAI suggests reducing imprecise, “fluffy” descriptions and providing examples to help strengthen subsequent responses.
• Test AI on internal, low-risk tasks first. IBM’s guide to prompt engineering suggests that it is crucial for AI users to spend time learning about these systems and how to properly prompt them for the best results. Take time to test your work before jumping into generating something for clients.
• Never include personal client information in prompts. IBM adds that AI should never directly handle client-facing data. Instead, use placeholder language and replace it at your discretion for the final copy.

A Model Prompt

Below is an example of a model prompt you might use, adjusting throughout as necessary to meet your specific needs.

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

Clients rely on financial advisors for guidance during sensitive market moments. Carefully crafted language can help to ease fears during a selloff or remind clients of core principles when riskier bets may be tempting. With the proper prompt, AI can be a helpful tool in creating this messaging when faced with a tight deadline.