Two-thirds of consumers already use AI for financial decisions. Is your firm in the answer?
We help financial services companies become the brand that AI recommends when consumers and businesses ask for options in their market. Not through technical tricks — through the earned authority that AI actually trusts.
Trusted by global brands
THE Financial Services Sales PROBLEM
Your users changed how they research financial products. Most firms haven’t caught up.
Problem 01
Your Clients Ask AI Before They Ask You.
According to Intuit Credit Karma, 66% of American gen AI users use them for financial advice. Among Gen Z and millennials, that figure jumps to 82%. When a consumer asks ChatGPT for financial services, they get a shortlist of recommendations. If your firm isn’t in that answer, you never entered the conversation.
Problem 02
Top Rank But No Recommendations.
You rank on page one of Google for your key terms. But ChatGPT recommends a competitor. AI models don’t mirror search rankings — they evaluate what independent third-party sources say about your firm. Without sufficient editorial coverage, reviews, and consistent entity signals, traditional SEO won’t get you into AI answers.
Problem 03
Your Competitors Are Already Building AI Visibility.
Forrester predicts that by 2026, over half of under-50 consumers seeking financial advice will turn to AI tools like ChatGPT. The firms appearing in those AI answers today are establishing positions that become harder to displace every month. Every week you wait, their citation lead grows. The best day to start is yesterday.
Problem 04
Your Expertise and Track Record Are Invisible to AI.
You have years of experience, strong client relationships, regulatory credentials, and deep market knowledge. But if that expertise lives only on your website and in your clients’ memories — without editorial coverage, review presence, and third-party validation — AI has no evidence to work with and no reason to recommend you.
Enter Authority GEO
In financial services, trust is everything. AI knows this.
Financial services is built on trust. Nobody hands their life savings, mortgage, or investment portfolio to a firm they don’t trust. Traditionally, that trust was built through referrals, credentials, and long-term relationships.
But the discovery process has fundamentally changed. According to McKinsey, nearly 40% of consumers in developed markets have already used generative AI tools for financial purposes — from comparing savings rates to researching advisors to evaluating investment options. Forrester predicts this will accelerate dramatically, with over half of younger consumers turning to AI for financial guidance by 2026.
AI models evaluate financial firms the same way a careful consumer would: by checking what independent, authoritative sources say. Your website is a claim. AI needs corroboration from trusted third parties before it will confidently recommend your firm — especially in a regulated industry where trust carries even more weight.
AI doesn't guess.
It verifies.
The authority signals AI checks before recommending a financial product.
Most finance companies have some of these. Almost none have all of them structured for AI extraction.
Editorial coverage in the publications your users trust.
Your firm needs to appear in the financial media, business publications, and industry outlets that consumers and businesses trust — from regional business journals to national financial publications and industry-specific trade media. In financial services, the credibility of the source matters enormously. A feature in a respected financial outlet carries significantly more AI recommendation weight than coverage in generic business media.
Content structured for how AI processes SaaS queries.
When a consumer asks AI for financial recommendations, the model works through stages: discover possible options, compare them, validate claims, and choose the best fit. Most financial firms have no content addressing the compare or validate stages — leaving AI with no basis to recommend them even when they offer superior services.
Consistent entity signals across every platform.
AI cross-references your firm’s information across Google Business, LinkedIn, Crunchbase, industry directories, regulatory databases, your website, and review platforms. Inconsistencies — different descriptions, conflicting credentials, outdated information — reduce AI’s confidence in recommending your firm.
Review presence on the platforms that matter.
Google Business reviews, Trustpilot, Better Business Bureau, NerdWallet, Bankrate, and industry-specific platforms like SmartAsset or WealthManagement.com are among the most cited sources in AI recommendations for financial services. Review volume, recency, and sentiment directly influence whether AI recommends your firm.
How financial services Buyers Use AI
Four stages. If you’re missing from any of them, you lose.
| Stage | What the buyer asks AI | What AI needs from you |
|---|---|---|
| Discover | "What are the best firms for X?" | Presence in listicles, editorial coverage, and category content that establishes your firm as a known option |
| Compare | "Firm A vs Firm B for my use case" | Comparison content, differentiated positioning, and review presence that gives AI clear points of distinction |
| Validate | "Is Firm A reputable? Any red flags?" | Reviews, case studies, third-party mentions, and awards that AI can cite as independent proof |
| Choose | "Which firm is best for a company like mine?" | Use-case specific content, decision guides, and consistent entity signals that match the buyer's context |
OUR Financial Services APPROACH
The full GEO and PR program, built for finance.
Organic PR
We secure editorial coverage and listicle inclusions in the publications financial services clients consult. For financial services, the credibility of the publication matters enormously — AI assigns significantly more recommendation weight to coverage in trusted financial outlets than to generic business press. We have the contacts to make it happen.
Review Stimulation
We build your presence on Google Business, Trustpilot, Better Business Bureau, NerdWallet, or industry-specific platforms. Public reviews are absolutely crucial to gaining the trust of AIs. We design ethical review generation systems that produce fresh, detailed reviews consistently across the platforms that matter in your specific market.
Specialized GEO Content
We create comparison guides, educational content, service explainers, and decision resources structured for AI extraction. When a consumer asks AI how your firm compares to alternatives, your content gives the model clear, authoritative information that positions your firm as the trusted option — without making claims that could raise compliance concerns.
Social Chatter
We build visibility on LinkedIn, Reddit’s personal finance communities, Quora, and industry forums where financial discussions happen. AI models reference these discussions when evaluating credibility. A distributed pattern of genuine thought leadership about your firm and its expertise signals real authority.
In-house Channel Optimization
We ensure your website, profiles, directory listings, and all platforms are consistent, structured, and machine-retrievable — from structured data and llms.txt deployment to entity consistency across every platform where your firm appears. For financial services, regulatory credentials, licenses, and professional designations are critical.
Targeted Paid Press Releases
We amplify key milestones — awards, new hires, AUM milestones, market commentary, regulatory achievements, product launches, region expansions, and similar news — through premium distribution channels that AI models index. Financial firms with a steady cadence of professional news create fresh authority signals that AI values.
Get Started
Find out if your brand is AI-ready.
Free Audit
Get a free AI visibility audit assessing your content, technical structures, and more. See exactly where you stand in under 48 hours.
No commitment. No retainer. Just data.
What it includes:
- AI citability & visibility score
- Technical foundations & data review
- Content & EEAT audit
- Optimization score for specific platforms
- Action Plan
How we work
From invisible to recommended – tailored to financial services.
Step 01
Discovery
We test your firm across hundreds of prompts financial services customers actually use. We map where you appear, where competitors appear instead, and audit your review presence, editorial footprint, and entity consistency across all relevant platforms.
Step 02
Strategy
We build a prioritized roadmap. Whether the biggest gaps are review volume, missing from industry ranking, entity inconsistency, or missing educational content. The strategy is shaped by your specific market and regulatory environment.
Step 03
Execution
Simultaneous execution across all relevant vectors. PR campaigns targeting your industry’s key publications. In-house content optimized. New GEO content pieces published. Directories published. Entity signals aligned across platforms.
Step 04
Iteration
Continuous citation tracking across all major AI platforms. Monthly reports showing which prompts trigger your firm, which don’t, and what competitors are doing. Quarterly strategy reviews to adjust priorities based on what’s working and what isn’t.
How we think
Whether you’re a fintech brand or a financial advisor, AI visibility follows the same rules.
We work with financial services firms across segments and specializations. If your business depends on being found and trusted by clients researching options, GEO applies to you. Here are some of the firm types we’ve worked with:
- Financial advisory and wealth management firms
- Accounting and tax advisory practices
- Insurance brokerages and agencies
- Mortgage brokers and lending companies
- Fintech companies and digital banking platforms
- Investment management and private equity firms
- Payment processors and financial technology providers
- Regional and community banks
The principle is the same regardless of segment or size: AI recommends the firms it can verify through independent sources. Your credentials are a claim. We build the verification layer.
Case Studies
AI Visibility Success Stories Driven by Authority Building.
Case Study 01
From invisible to top recommendation.
The Context:
This B2B SaaS client occupied top Google ranks but still wasn’t recommended by ChatGPT, Gemini, and Co.
The Outcome:
Less than a year later, it is now being recommended and cited across all major AI tools for its most crucial prompts.
Thanks to PolyGrowth, our local business is ranked #1 on Google for our most important keywords and has been recommended as the best option on ChatGPT for 2+ years now.
We really enjoyed working with the PolyGrowth team. The results were exactly as promised and we look forward to our next project with them.
"We highly recommend Simon and the PolyGrowth team. They were extremely easy to communicate with and provide an exceptional service with great turnaround time. We will continue to use their services long term and would encourage anyone else to do the same."
FAQs
Frequently asked questions about GEO for finance.
According to Intuit Credit Karma, 66% of Americans who use AI tools have used them for financial advice, rising to 82% among Gen Z and millennials. McKinsey reports nearly 40% of consumers in developed markets have used generative AI for financial purposes. Forrester predicts that by 2026, over half of under-50 consumers seeking financial advice will turn to AI tools like ChatGPT. Consumers use AI for everything from comparing savings rates and researching advisors to evaluating investment options and understanding mortgage terms.
Google Business reviews are the single most important signal for local financial services recommendations. Trustpilot and Better Business Bureau carry significant weight for trust-sensitive industries. NerdWallet, Bankrate, and SmartAsset are heavily cited by AI for product-specific queries. Industry-specific directories like NAPFA or FPA matter for advisory firms. Our audit identifies exactly which platforms AI references for your specific market segment.
AI models can’t evaluate credentials the way a human regulator or referral source would. They evaluate what they can find online: editorial coverage, reviews, directory listings, and entity consistency across platforms. A firm with excellent credentials but limited online third-party evidence is invisible to AI. The good news is that building this verification layer is straightforward for firms that already have the underlying quality — the gap is in digital visibility, not substance.
Yes — and often more effectively than in traditional marketing. AI models value specificity and verifiability over brand size. A boutique wealth management firm specializing in retirement planning for tech executives, with strong Google reviews and coverage in financial planning media, can outperform Goldman Sachs or Merrill Lynch for those specific queries. AI recommendations favor the most relevant, verifiable answer — not the biggest brand. Specialists win in AI.
We track citation frequency, recommendation positioning, and sentiment across all major AI platforms using prompt-by-prompt monitoring. Monthly reports include competitive benchmarking, trend analysis, and gap identification. We measure what matters: how often AI recommends the brand, in what context, and how that changes over time.
ChatGPT dominates consumer usage for financial queries, with Gemini growing rapidly. Google AI Overviews increasingly appear for financial product comparisons and “best of” searches. Perplexity is valuable for detailed comparison queries. Each platform cites different sources with limited overlap, which is why a multi-platform strategy is essential even for local financial services firms.
It depends on your starting point. Firms with existing editorial coverage and reviews can see initial citations within weeks on real-time platforms like Perplexity and ChatGPT. Firms building from zero need 2–3 months to establish the foundational authority layer. Becoming the go-to recommendation in a specific financial services niche typically takes 6–12 months of sustained effort. For firms in smaller or regional markets, results can come significantly faster.
Traditional financial marketing focuses on lead generation through advertising, content marketing, and referral programs. We focus on building the third-party authority layer that AI specifically evaluates: editorial coverage selected based on AI citation data, review presence across the platforms AI references, entity consistency across Google, industry directories, and regulatory databases, and content structured for AI extraction. Every placement serves a dual purpose: building reputation with human clients and building recommendation confidence with AI models. All content is developed with regulatory compliance in mind.