How Does AI Search Decide Which Advisors to Name?
AI search decides by running a six-step process that builds the shortlist before your prospect ever visits a website. A prospect opens ChatGPT and types, "Who is a good fee only advisor in Denver for business owners?" A few seconds later, three names appear. The prospect calls one of them.
So where did those three names come from? Most advisors assume the AI simply knows. It usually doesn't. It goes looking, and the path it takes decides who gets named.
Here is the old path next to the new one.
The biggest change is who does the comparing. With Google, the prospect clicked through websites and built the shortlist. With AI, the shortlist is made before the prospect visits a single site.
Step One: The Question
Prospects no longer type three words into a search bar. They describe their whole situation: where they live, what they do, and what they need. That longer question drives every step that follows. Here is the full journey.
Step Two: Look It Up or Answer From Memory
The AI first decides whether it needs to search the web, which it doesn't always. One Semrush analysis of 80 million ChatGPT queries found only about 46% triggered a live web search. The rest were answered from training data, which is the huge body of web content the AI learned from before it was released.
A local question like finding an advisor usually triggers a live search. A question like "What do you know about [your firm]?" often comes from memory.
Either way, the AI can only work with what exists. What you publish today becomes part of what AI remembers about you tomorrow. If you never put information into the market, you are missing from both paths.
Step Three: Break It Into Smaller Searches
Next, the AI splits the question into several shorter searches, each covering one part of what was asked. This is called query fan out. Our Denver question might become "fee only advisor Denver," "exit planning advisor," and "Denver advisor reviews."
That means you don't need to win one magic keyword. You need to provide content that the AI can access that answers each of the questions your ideal client would ask.
Step Four: Search Engines Return Pages
Here is where traditional SEO comes back in. SEO, or search engine optimization, is the work of getting your pages found in search engines. ChatGPT sends its searches to Bing, which OpenAI's own help documentation confirms. Google's AI features use Google's own index, and Perplexity runs its own.
That is why one AI can name you while another ignores you, and why FAVIR queries multiple AI assistants. Strong SEO still plays a big part in whether you are in the pool at all.
Step Five: Read and Check Against the Web
Now the AI reads the pages it found. But it reads the code behind the page, not the page you see. ChatGPT's page reader does not run JavaScript, the code that makes parts of a page load or move after it opens. Anything that only appears through JavaScript may be invisible to it.
On advisor websites, that often includes:
- FAQ sections and tabs that load their text only when clicked
- Review widgets pulled in from outside services
- Credentials shown only as badge images, like a CFP logo with no text
- Sliders that rotate through your services
- Videos with no transcript on the page
Then the AI checks what others say about you. Ranking well gets you considered, but it no longer guarantees a mention. Ahrefs found the share of Google AI Overview citations coming from top 10 organic results fell from 76% to 38% in eight months. AI now pulls from reviews, directories, news coverage, and video sites. As we covered in last month's issue on what AI reads before it recommends you, it trusts what others say about you more than what you say about yourself.
Step Six: The Shortlist
Finally, the AI writes one answer and names a few advisors. It reads far more pages than it cites. You never see the advisors who were considered and dropped.
What This Means for Your Referrals
In a 2025 survey of 829 advisors, 76% said they gained new clients through unsolicited referrals, far more than any other source.
But referrals now get checked. Wealthtender found that 96% of referred prospects research the advisor online before reaching out, and AI tools are fast becoming how they do it. The trend shows that referrals are declining and AI citations will increase. Forrester predicts more than half of consumers under 50 seeking financial advice will turn to AI tools.
That creates a risk you can't see. A referral can quietly fall apart somewhere between steps two and five, and you would never know it happened.
That hidden stretch is exactly what FAVIR, the Financial Advisor Visibility Index Rating, was built to show you. It asks the questions your prospects ask, runs them on the major AI platforms, and shows you how often you're getting named.
The Bottom Line
The advisors getting named are not gaming a system. They have a website that is discoverable, machine readable, and easy to confirm with external sources. All three are within your reach. For the practical side of that work, see our guide to answer engine optimization for advisors.
Your best referral is only as good as what AI says about you when they check.
What Happened in the Markets: August 2026 Snapshot
August was a strong month for stocks and a hard month for bonds. Then, in mid September, the Fed did something it hasn't done in years and raised rates.
- The Fed raised rates for the first time this cycle. On September 16, the Federal Open Market Committee voted 12 to 0 for a quarter point increase, lifting its target range to 3.75% to 4%. Chairman Kevin Warsh said inflation has been too high for too long. The Fed's projections showed 16 of 18 members expecting at least one more hike this year.
- Stocks had their best August in five years. The S&P 500 gained 2.7% and the Nasdaq 100 gained 4.2%, their best August performance since 2021. The S&P 500, the Dow, the Russell 2000, and the equal weight S&P 500 all set new all time highs during the month.
- Long term bond yields hit multiyear highs. The 10 year Treasury yield climbed above 4.75%, its highest since January 2025, while the 30 year approached 5.30%, its highest level since 2007. Rising yields push existing bond prices down.
- Energy kept pushing inflation up. Consumer prices rose 0.4% in August, keeping the annual rate at 3.4%. Gasoline was up 27.4% from a year earlier and accounted for more than a third of the monthly increase. Energy stocks gained 7% in August and are up 44.2% year to date, nearly double any other sector.
3 Lead Generation Ideas for This Fall
1. Be the Local Voice on the Rate Hike
After the Fed's September hike, local reporters, radio hosts, and newsletter writers need someone who can explain what it means for people in their area. That can be you. Email two or three local outlets and offer a short, plain English take: what the hike means for savings, loans, and home buying in your city.
Then publish the same explanation on your own website as a short article, and share it on LinkedIn and your Google Business Profile. A quote in local news puts your name in front of thousands of new people. It also gives AI the outside mention it looks for. The window is short, so act in the weeks right after the decision.
2. Run a Series Called "What ChatGPT Got Wrong"
People are already asking AI about their money. Kiplinger reporting based on CFA Institute research found roughly one third of Gen Z and millennial investors use generative AI to learn about investing.
Ask ChatGPT a common question, like "Should I pay off my mortgage or invest?" Then record a 60 second video on what the answer got right and what it missed. Post one a week on LinkedIn, Instagram, or YouTube. This content travels because people share it, and it shows your expertise without a sales pitch.
To take it further, turn the series into a free one hour community workshop at a local library or chamber of commerce. Promote it through community Facebook groups and local event calendars.
3. Get in Front of Business Owners Through the Groups They Already Trust
Business owners are hard to reach cold, but they gather in predictable places: chambers of commerce, trade associations, business networking groups, and local business banks. Offer to give a free 20 minute talk at a member breakfast or lunch meeting. Title it "Year End Retirement Plan Moves for Business Owners."
The deadlines make the talk timely. For a SIMPLE IRA, the IRS window to set up a plan for this year runs from January 1 through October 1. A SEP IRA offers the most flexibility and can be set up and funded as late as the extended tax filing deadline. That means you can still help owners who think they've missed their chance. Bring a one page handout with your contact information, and offer a follow up call to anyone who wants to review their options.
How Can Financial Advisors Collect Reviews Compliantly?
Advisors can collect reviews compliantly by getting a written policy from compliance first, asking without offering anything in return, and placing the required disclosures right next to every review. Reviews are one of the strongest trust signals you can build. They're also a big part of step five in this month's feature, where AI checks what others say about you. But many advisors avoid them entirely because they worry about compliance. You don't have to choose. Here's how to collect reviews inside the rules.
Know Which Rules Apply to You
If you're an RIA, reviews fall under the SEC Marketing Rule, known formally as Rule 206(4)-1. If you're registered with a broker dealer, FINRA rules and your firm's policies apply. Either way, start with your compliance team before you ask a single client.
Learn From the Mistakes Examiners Already Found
The SEC is watching this closely. In December 2025, its Division of Examinations issued a risk alert on testimonials, endorsements, and third party ratings, and warned that these areas will be a focus in RIAs' next exams. The most common problem was missing disclosures: when a review was shown, advisers didn't disclose whether the reviewer was a current client, whether they were paid, and whether they had a conflict of interest.
Hiding the disclosures didn't work either. Examiners flagged disclosures buried behind links, placed far from the review, or set in smaller or lighter text than the review itself.
Follow These Five Steps
- Get your policy in writing first. Confirm with compliance which review sites you can use and how reviews must be displayed.
- Ask without offering anything in return. Paying for reviews, or rewarding referrals, brings extra requirements. The risk alert specifically flagged "refer a friend" programs and paid influencers. The simplest approach is to ask and offer nothing.
- Put disclosures right next to the review. Same page, same size, easy to read. Never make someone click a link to find them.
- Treat ratings and awards the same way. If you display a badge or "top advisor" award, examiners found advisers showing rating logos without naming who produced the rating or disclosing fees paid to the provider. Keep notes on how each rating was produced.
- Keep records of everything. Save each review, its disclosures, and your approval, in case an examiner asks.
The Bottom Line on Reviews
Reviews are allowed. What's not allowed is showing them without the context the rule requires. Get the disclosures right, and reviews become one of the most credible signals you have, for prospects and for AI.
This is not legal or compliance advice. Always confirm your approach with your compliance team.
How Can You See Your AI Visibility?
You can see your AI visibility with FAVIR, which runs your prospects' real questions across the major AI assistants and scores how often you get named. This month's feature walked through the six steps between a prospect's question and the shortlist AI hands back. Steps two through five happen out of view. You can't see them in your rankings or your website traffic.
FAVIR, the Financial Advisor Visibility Index Rating, shows you that part. It runs the questions your prospects actually ask across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, then scores how often you get named from 0 to 100. You see where you show up, where you drop out, and what to fix first.
FAVIR is now live and built into every profile.
See the FAVIR platform or schedule a call with our team to walk through your results.
FAQ
How does ChatGPT decide which financial advisors to recommend?
ChatGPT decides whether to search the web, splits the question into smaller searches, sends them to a search engine (Bing, in ChatGPT's case), reads the pages that come back, checks what reviews, directories and news say about each advisor, and then names a short list in one answer.
What is query fan out?
Query fan out is when an AI assistant breaks one long question into several shorter searches, each covering one part of what was asked. A question about a fee only advisor in Denver for business owners might become separate searches for the location, the specialty, and reviews.
Why can AI miss information on my website?
ChatGPT's page reader does not run JavaScript, so content that only loads through JavaScript may be invisible to it. Common examples on advisor sites are click-to-open FAQ tabs, embedded review widgets, credentials shown only as badge images, rotating sliders, and videos without a transcript.
Can financial advisors use client reviews?
Yes. RIAs can use reviews under the SEC Marketing Rule (Rule 206(4)-1), and broker dealer reps follow FINRA rules and firm policy. The key requirement is clear disclosure next to each review of whether the reviewer is a current client, whether they were compensated, and any conflicts of interest. Confirm your approach with compliance first.
Your Partners,
The FinancialAdvisors.com Team
