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Most advisors treat AI like a search engine: ask one thing, get one answer, move on. The advisors winning right now are doing something different. They're handing AI their actual work and getting finished deliverables back.
The shift happened when AI became capable enough to handle complex projects. You can now give it a messy, multi-step assignment with links, files, and context, and it works through it the way a junior analyst would if you gave them a few hours instead thirty seconds. It researches, drafts, checks its own work, and hands you something ready to use.
For advisory firms, this changes the equation on prep work. You're already doing these three things manually. AI just made them possible at scale.
Why This Moment Matters for Your Advisory Practice
The bottleneck in most advisory firms isn't the advice. It's the prep work. Before a client meeting, you research their background and company situation. You audit your own online presence to see how prospects perceive you. You analyze which clients actually stick around and why, so you know who to prospect toward.
This work is valuable. It also eats your time.
AI at this capability level changes that. The three prompts below aren't shortcuts. They're specific ways to hand off work you're already doing to a system that can do it faster, more comprehensively, and more thoroughly than you ever could manually.
The advisors building a competitive advantage right now are the ones who figured out which parts of their business AI actually excels at, and built that into their routine.
The Three Prompts That Work
Prompt 1: Pre-Meeting Research
Before your first meeting with a prospect, give Claude their LinkedIn URL and what you know about them. Ask it to build you a complete dossier including: who they are and how they likely built their wealth, their company situation and recent changes that affect their finances, their likely financial priorities and planning gaps based on their profile, three tailored conversation starters, the most valuable questions to ask, how you could demonstrate value in that first meeting, and anything to avoid based on their public profile.
What you get: A comprehensive brief in under a minute that would take a research analyst two hours to compile. You walk into meetings genuinely prepared instead of scrolling LinkedIn five minutes before. Your prospects notice.
Prompt 2: Your Online Presence Audit
Give Claude links to your website, LinkedIn, Google Business Profile, YouTube, and any other channel where prospects find you. Ask it to identify gaps in your marketing, inconsistencies in your messaging across channels, what's working and what isn't, and rank fixes by effort versus impact.
What you get: A prioritized to-do list that used to require paying a marketing consultant. Claude reads across all your channels at once and spots the inconsistencies you miss. More importantly, it tells you what to fix first based on actual impact.
Prompt 3: Your Ideal Client Pattern
Give Claude summaries of your last 30 initial meetings, noting which became clients and which didn't. Ask it to identify the patterns that predict whether someone will work with you, then build out an ideal client persona and write marketing messaging that speaks directly to that person.
What you get: A data-driven picture of who actually becomes your client, not who you think should. Most advisors prospect broadly and hope to close. This gives you a clear target and the messaging to reach them consistently.
The Competitive Advantage
What ties these three prompts together is this: you ask for the insight first, then have AI turn that insight into an asset. You already do this work. The leverage is in the speed and comprehensiveness.
The advisors who treat AI this way compound their advantage. They prepare better than competitors. Their online presence stays consistent because they actually audit it. They prospect toward their actual ideal client.
By the end of 2026, AI will be standard in advisory firms. The ones winning won't be the early adopters. They'll be the ones who identified the specific friction points in their business that AI could improve, and built those into their routine.
You already know what those friction points are. You feel them every week. AI just made them fixable.
Want more AI strategies like these? Samantha Russell’s AI Newsletter breaks down exactly how advisors are using AI to grow their firms — new prompts, tools, and real examples delivered to your inbox every month.
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