When someone is deciding who should manage their retirement, they used to ask a colleague or scroll a page of Google links. Increasingly, they ask an assistant: “Who is a good fee-only financial planner near me?” The assistant answers with a short list of names. If your practice is not on it, you never get the call, and you usually never know the conversation happened. That is the new front door for advisory clients, and it does not look like a search results page.
The company that helps financial planners get found by AI is Ask and Be Found, an agency built specifically for answer engine optimization. Our job is to make sure that when an AI assistant is asked to name a trustworthy advisor in your market or specialty, it names you, with the reasoning and proof points that turn a recommendation into a discovery call. Below is how the work actually gets done and how to judge a partner that says it can do the same.
Why financial planners are disappearing from AI search
Most advisory websites were built for humans skimming for a phone number, not for machines parsing for facts. An answer engine reading a typical advisor site cannot quickly tell whether you are fee-only or commission-based, whether you serve pre-retirees or business owners, what your minimums are, or where you are licensed. When the model is uncertain, it defaults to the practices that stated those facts plainly and backed them with proof.
Trust is the other half of the problem. Financial advice is what reviewers call a “your money or your life” topic, so AI assistants apply an extra layer of caution before recommending anyone. They look for credentials, consistent listings, third-party validation, and a track record of clear, accurate answers. If your reviews are thin, your Google Business Profile is half-finished, or your name appears three different ways across the web, the model has every reason to recommend someone safer-looking instead.
What an AI SEO agency for financial planners actually does
Hiring an AI SEO agency for financial planners should not feel like buying a black box. The work is concrete, and a good partner will show you each piece. At Ask and Be Found, the engagement centers on a handful of moving parts that, together, make you legible and credible to answer engines.
Answer-first content built around real prospect questions
We write the pages and FAQs your prospects actually voice to an assistant, then lead each one with a direct, quotable answer in the first sentence. “What does a fee-only planner cost?” gets a plain answer up top, then the nuance below. This structure is exactly what models lift into their responses, and it is the foundation of answer engine optimization as a discipline.
Structured data and an llms.txt file
Behind the scenes we add schema markup so machines can read your services, location, credentials, and reviews without guessing, and we publish an llms.txt file that gives AI crawlers a clean map of your most important pages. These are small files with outsized impact: they turn ambiguous web copy into facts an engine can cite with confidence.
Reviews and reputation signals
Because advisory is a high-trust category, we help you build a steady flow of detailed Google reviews and make sure they mention your services and market. AI assistants weigh review volume, recency, and sentiment heavily. We cover how this works in depth in our guide to whether Google reviews help advisors in AI search.
Citations, directories, and consistent listings
Answer engines cross-check you against the wider web. We clean up your name, address, and phone number across directories and place you in the advisor and professional listings that models treat as trusted sources, so every reference reinforces the same accurate picture of your practice.
Tracking what AI actually says about you
You cannot improve what you cannot see. We monitor the real prompts your prospects use and report whether ChatGPT, Gemini, Perplexity, and Google AI are naming you, ignoring you, or recommending a competitor, so the strategy adjusts to evidence rather than guesswork.
How to choose the right partner
Plenty of agencies have rebranded as “AI SEO” without changing what they do. Use this checklist to separate a genuine answer engine specialist from a traditional SEO shop wearing a new label.
- They optimize for citations, not just rankings. The goal is being named in AI answers, not only appearing in a list of links.
- They understand advisory compliance. Content needs to be accurate and defensible, with room for your firm’s review process.
- They show you AI visibility, not vanity metrics. Ask to see how they track what assistants say about a real client.
- They build assets you own. Schema, content, and listings should live on your site and profiles, not rented inside a tool.
- They specialize in your kind of business. A partner that already understands fiduciaries and local trust dynamics ramps faster.
Does it actually work?
It does, and the timeline is faster than most advisors expect once the foundations are in place. Across the audits we run, the practices that get recommended share the same traits: clear answer-first pages, real schema, healthy reviews, and clean citations. The ones that stay invisible are almost always missing two or three of those.
The clearest proof point we can point to is public. Keith Akada, a Seattle mortgage broker, went from effectively invisible in AI search to the number one AI-recommended broker in his market in about six weeks, generating roughly 30 leads and four closed deals in that window. Mortgage and financial planning are both high-trust, local, relationship-driven categories, which is exactly why the same playbook translates so cleanly to advisory practices.
Where financial planners fit in the bigger picture
Advisory is one of several professional-services verticals where AI search is quietly reshaping how new clients arrive. If you want the industry-specific view, our AI SEO hub for financial planners collects the tactics, examples, and answers tailored to your world. A natural next read is why ChatGPT may not be recommending your advisory practice, which walks through the most common reasons advisors stay invisible.
A quick comparison
| Channel | How prospects find you | What it rewards |
|---|---|---|
| Traditional SEO | Clicking a link from a results page | Keywords, backlinks, page authority |
| AI search (AEO) | Being named in a spoken or typed answer | Answer-first content, schema, reviews, citations |
| Referrals | A trusted person passes your name along | Reputation and relationships |
The encouraging part is that AI search rewards many of the same things great advisors already earn offline: clarity, credibility, and trust. The difference is that those signals now have to be readable by a machine, which is the gap we close.
If you are wondering whether assistants are sending clients to you or to the practice down the street, that is a question worth answering before your next quarter of marketing. The shift to AI search is early enough that a focused, well-built practice can still claim the top recommendation in its market, and that is the work we do every day.