How Earned Media Gets Financial Advisors Recommended by AI
A prospective client no longer types "financial advisor near me" into Google and scrolls through ten blue links. More often, they open ChatGPT and type something closer to "help me find a fee-only advisor in Denver who works with small business owners" or "who has the best reviews for retirement planning near me." The AI reads the web, weighs what it finds, and gives that person a direct answer, often with just one or two names attached.
That shift has a name: generative engine optimization, or GEO (some in the industry call it answer engine optimization, or AEO). And for financial advisors, understanding how it works is quickly becoming as important as understanding SEO ever was.
There's a fair amount that goes into building visibility in AI search, but the single biggest lever, and the one most advisors haven't touched yet, is earned media: the coverage, bylines, and quotes you don't pay for and don't fully control. That's worth unpacking first. From there, we'll look at the data behind this shift, what AI tools actually look at when they evaluate an advisor, how to structure content so it holds up to that scrutiny, and the smaller review and directory tactics that round out the strategy.
Earned media: one of the most underused levers
Backlinks used to be the currency of SEO: get a mention in a major outlet, get a link back to your site, and Google would treat your site as more authoritative. AI tools care less about the link itself and more about something related but distinct: whether independent, credible sources are talking about you at all. That makes earned media one of the strongest trust signals available, and it's an area where working with a PR team makes a real, measurable difference.
There are two main paths into earned media, and advisors benefit from pursuing both.
Contributed content and bylines
This means placing articles under your own name in outlets your ideal clients, and the AI tools evaluating you, are likely to encounter. A few ways to approach it:
Regional business journals and local outlets, especially useful for advisors who want to reinforce a specific geography, such as a metro area or state.
Trade press, industry-specific outlets that carry credibility with a professional audience and reinforce niche expertise, whether that niche is physicians, business owners, or a particular life stage.
Vertical publications, outlets built around a specific audience or topic rather than a specific geography, which can be a strong fit for advisors with a defined niche client base.
A byline does double duty. It builds the same kind of specific, structured, expert-authored content that performs well in AI search, and it does so on a domain with far more built-in authority than an individual advisor's own website, which gives AI tools an independent source confirming the same expertise.
Being quoted as a source
The second path is being cited as an expert source within a reporter's story, rather than writing the piece yourself. This includes:
National financial media, outlets like the Wall Street Journal, Barron's, Reuters, Bloomberg, and CNBC, where even a single well-placed quote signals a level of third-party credibility that's difficult to replicate any other way.
Trade and niche outlets covering financial planning, wealth management, or a specific client vertical, which tend to be more accessible for advisors earlier in the process of building a media presence and often carry outsized weight with AI tools because of how narrowly they're read and cited.
Podcasts and broadcast segments, which create their own indexed content (through transcripts, show notes, and video captions) in addition to the credibility of the appearance itself.
Each of these placements should come home to roost. Embed a podcast episode in a related blog post, link to a media placement from an "In the News" page or reference a quote in an author bio. That turns a one-time mention into a durable, ongoing signal that reinforces the same story your website and reviews are already telling.
The shift is already showing up in the numbers
Earned media matters because of how dramatically the underlying search behavior has already changed. A recent industry webinar on AI marketing shared some striking data points on just how far along that shift is:
Roughly 60% of searches now end without a single click, because AI tools are answering the question directly instead of sending people to a website.
Adoption is climbing fast. Nearly 700 million people were already using tools like ChatGPT regularly, with that number expected to approach a billion by the end of the year, or about one in eight people on Earth.
One analytics platform found that visitors arriving from AI search converted at a rate 23 times higher than visitors arriving through traditional organic search.
The theory offered on the webinar makes intuitive sense: someone Googling a topic is often just browsing, while someone asking an AI tool a detailed question, one that includes their situation, their location, and what they're looking for, is much further along in deciding to hire someone. So the traffic is smaller. But it's warmer, and it converts.
What AI actually looks for when it recommends an advisor
Numbers like these explain why the shift matters. The more practical question is what an AI tool is actually looking at once someone asks it for a recommendation. A recent WealthManagement article walked through an actual conversation with an AI assistant about how it evaluates financial advisors, and a few points stood out.
The AI explained that it starts with a web search, then reads whatever it finds: your website, your LinkedIn profile, directory listings, and reviews. It isn't looking at your headshot or counting your connections. It's reading the text, specifically your headline and the first few sentences of your About section, to figure out whether you match what the person asked for.
A few quick takeaways from that conversation:
A LinkedIn headline that just says "Financial Advisor at XYZ Wealth Management" gives the AI almost nothing to work with. One that reads "Fee-Only CFP in Boston Specializing in Financial Planning for Physicians" can be matched to a query almost instantly.
Credentials only count if they're spelled out somewhere visible. If you're a fiduciary and that word doesn't appear on your homepage, your About section, and your LinkedIn headline, you're effectively invisible for one of the most common searches AI tools receive.
The same goes for CFP: since people search both the abbreviation and the full term, include "Certified Financial Planner" somewhere on the page as well.
This lines up with a formula worth adopting across every profile and piece of content you publish: Who, What, Where. Make it immediately clear who you are, what you specialize in, and where you serve clients. Something like "Jane Smith is a fee-only financial advisor at OakView Wealth. She specializes in retirement income planning for tech professionals in the Seattle area" gives both search engines and AI models a clear, repeatable pattern to latch onto.
Write for the question, not the keyword
Knowing what AI reads is only useful once your own content actually holds up to it. Traditional SEO trained advisors to think in keywords. AI tools think in questions, and they reward content that answers one clearly.
A few formatting shifts to make:
Turn blog post titles into direct questions. "Five Things to Know About Capital Gains" becomes "Can Capital Gains Push Me Into a Higher Tax Bracket?"
Build a short FAQ section into every page. Think through every way a prospect might ask about a topic, and answer each one directly, so AI tools have a ready-made pairing of question and answer to pull from.
Favor specificity over breadth. A generic paragraph about Roth conversions that name-checks tax brackets and portfolio size reads like SEO filler and rarely gets cited by AI. A paragraph written for "Seattle-area software engineers earning over $300,000 who are weighing a Roth conversion during a sabbatical year" gives the AI a concrete audience, scenario, and takeaway, which makes it far more useful to cite.
Build content in pillar-and-cluster groups: one comprehensive article on a core topic, supported by several shorter, more specific pieces that link back to it. That structure signals topical depth in a way a single standalone post never can.
Ask your web developer about schema markup, the backend code that explicitly labels a page's content as a question and its corresponding answer. Several marketing platforms serving the advisor space have started rolling out FAQ widgets with schema markup built in, which makes this far easier to implement than it used to be.
Reviews are pulling more weight than they used to
Content structure is only half of the equation. The other half comes from voices other than your own, and the most powerful of those voices belongs to your clients. Third-party validation, especially detailed client reviews, is one of the strongest trust signals an AI tool can find. Phrases like "helped me navigate my divorce settlement" describe a real problem a real client had solved, in that client's own words, and that carries weight no amount of website copy can replicate on its own.
A lot of advisors still hold back from asking for reviews, often out of uncertainty about compliance. That hesitation is understandable, but it's increasingly costly. The SEC's marketing rule opened the door to testimonials a few years ago, and several tools built specifically for advisors now exist to make collecting and publishing them compliant and manageable.
A few low-friction ways advisors are actually collecting reviews, rather than just planning to:
Sending a birthday email to the client list each year, asking that clients share a quick note about their experience in lieu of a gift, linked directly to a review page.
Laminating a QR code linking to a reviews page and keeping it in the office, then holding it up at the very end of client meetings, right after demonstrating value, to ask for a quick review on the spot.
Using a client anniversary as a natural, low-pressure prompt.
The common thread is asking at a moment when the client is already thinking positively about the relationship, rather than relying on a single email blast to do all the work.
Once you have reviews, don't just leave them sitting on a third-party site. AI tools often struggle to parse reviews directly off a Google Business profile, so featuring a handful of your strongest ones directly on your website, alongside the standard disclosures, gives both AI tools and human visitors something concrete to read.
Get found beyond your own website
Reviews are one form of third-party validation, but they're not the only one. AI models pull from a much wider slice of the internet than your site, your reviews, or even your earned media alone.
Get listed, and ideally reviewed, on advisor-specific directories. These give AI tools additional, independent sources that confirm who you are and who you serve.
Consider applying for relevant industry awards. Even ones you don't personally hold in high regard can carry real weight in how frequently AI tools recommend you.
Repurpose content across platforms like LinkedIn, so the same expertise appears in more than one indexed location.
None of this replaces a strong website. It reinforces it, and it gives AI more places to encounter the same consistent signal about who you are and who you help.
A few things worth doing this week
Between earned media, content structure, reviews, and directory listings, there's a lot here to work through. You don't need to tackle all of it at once, and you don't need to rebuild your entire marketing strategy to start showing up in AI search. A few smaller, specific moves can make a real difference:
Identify one earned media target, whether that's a byline pitch to a regional outlet or building the relationships that lead to being quoted as a source, and put it on the calendar.
Rewrite your LinkedIn headline so it includes your credential, your location, and your niche, all in one line.
Audit the opening lines of your About section, on both LinkedIn and your website, and make sure someone with zero context could tell who you are, where you are, and who you help within three sentences.
Turn one existing blog post into a direct Q&A, and add a short FAQ section built around the specific questions your ideal client would actually type into ChatGPT.
Start (or restart) collecting client reviews, using a moment that already feels natural, like a client anniversary, rather than a generic ask.
AI search isn't replacing everything advisors have already built through SEO and referrals. It's layering a new set of rules on top of them, rules that reward advisors who are specific about who they are, clear about who they serve, and backed up by people, and publications, willing to say so publicly. The advisors who adjust now will have a real head start, because once an AI tool starts citing you consistently, that advantage tends to compound.
Showing up in AI search isn't something you have to figure out alone, and the earned media piece in particular is easier to build with a team that has decades of experience landing bylines and securing press coverage for financial advisors. If you're ready to put a media strategy behind your GEO efforts, or just want a second opinion on where your firm currently stands, we would love to talk. Send us an email at sarah@kaneandhook.com, visit our website, or connect with us on LinkedIn to keep up with more insights like this one.