How a Fintech Startup Doubled AI Visibility by Optimizing for ChatGPT and Gemini
Executive Summary / Key Results
A fintech startup specializing in personal finance tools faced declining organic traffic from traditional search engines. By implementing a generative engine optimization (GEO) strategy targeting AI search engines like ChatGPT and Google Gemini, the company achieved remarkable results within three months:
| Metric | Before GEO | After GEO | Change |
|---|---|---|---|
| AI citation frequency (ChatGPT + Gemini) | 12 citations/month | 87 citations/month | +625% |
| Website referral traffic from AI sources | 0 visits/month | 1,240 visits/month | New channel |
| Brand mentions in AI responses | 8 unique queries | 53 unique queries | +562% |
| Conversion rate from AI traffic | N/A | 4.2% | Benchmark set |
These metrics demonstrate that GEO is not merely a theoretical concept—it drives measurable improvements in brand visibility, traffic, and conversions.
Background / Challenge
The client, a fintech startup launched in 2020, provides a budgeting app that uses AI to categorize spending. Their primary acquisition channel was Google organic search, but algorithm updates and increased competition caused a 30% drop in traffic over six months. Worse, they noticed that when users asked ChatGPT or Gemini questions like "What is the best free budgeting app?" or "How to track expenses automatically?", their brand rarely appeared. Competitors like Mint and YNAB dominated AI-generated responses.
The challenge was twofold:
- Understand how AI search engines generate responses and what factors influence inclusion.
- Restructure content and technical SEO to become a authoritative source for generative AI training data and real-time queries.
Solution / Approach
We devised a three-phase GEO strategy based on research into how ChatGPT and Gemini surface information.
Phase 1: Research and Gap Analysis
We audited 50 common user questions related to personal finance and budgeting. For each query, we analyzed the top 5 responses from ChatGPT and Gemini. We identified that AI engines prioritize:
- Authority signals: Domain authority, backlink profile, and citation frequency from reputable sites.
- Structured data: Proper use of schema markup (FAQ, HowTo, Article) increases extraction likelihood.
- Clarity and conciseness: AI models prefer well-structured content with direct answers.
- Freshness: Recent content (published within 6 months) ranked higher in AI responses.
Phase 2: Content Restructuring
We rewrote 30 core pages to follow a question-answer format optimized for NLP extraction. Each page included:
- A clear H1 that matches a target question.
- A concise answer (50-100 words) immediately after the H1.
- Detailed sections with bullet points and tables for scannability.
- FAQ schema implemented on every page.
Phase 3: Authority Building
We launched a digital PR campaign to earn backlinks from .edu and .gov domains, increasing the domain authority from 35 to 48. Additionally, we published guest posts on high-authority finance blogs to boost citation frequency.
Implementation
Week 1-2: Technical Setup
- Installed SEO plugin with schema support.
- Created a content hub page titled "AI-Powered Budgeting: Answers to Common Questions" with interlinked FAQ modules.
- Submitted sitemap to Google Search Console and Bing Webmaster Tools.
Week 3-6: Content Production
- Produced 15 long-form guides (2,000+ words each) targeting high-volume questions.
- Each guide included a “Quick Answer” box with a snippet that could be extracted by AI.
- Example: For the question "How does automatic expense categorization work?", we wrote an answer that started with “Automatic expense categorization uses machine learning to analyze transaction patterns and assign categories like groceries or utilities.”
Week 7-10: Promotion and Monitoring
- Distributed content via email newsletter and social media.- Monitored AI citations using tools like Otterly.ai and Peec AI.
- Found that ChatGPT started referencing our content within 5 weeks for 8 different queries.
Week 11-12: Iteration
- Based on early results, we optimized the top 5 performing pages by adding more examples and data points.
- Added a FAQ section to the homepage with schema markup.
Concrete Example: The "Budgeting Methods" Guide
One of our most successful pieces was a guide titled "5 Budgeting Methods Compared: Which One Fits Your Lifestyle?" We created a comparison table:
| Method | Best For | Difficulty | Success Rate |
|---|---|---|---|
| 50/30/20 | Beginners | Easy | 70% |
| Zero-Based | Detail-Oriented | Hard | 80% |
| Envelope | Cash Users | Medium | 75% |
| Pay Yourself First | Savers | Easy | 65% |
| 80/20 | Minimalists | Easy | 60% |
Within 6 weeks, this table was cited verbatim in Gemini responses for queries like "best budgeting method for beginners" and "compare budgeting strategies."
Results with Specific Metrics
After 12 weeks, we measured the following:
| Metric | Value |
|---|---|
| AI citation frequency | 87 per month (from 12) |
| Unique AI queries generating citations | 53 |
| Referral traffic from AI sources | 1,240 visits per month |
| Average session duration (AI traffic) | 3:45 minutes |
| Conversion rate | 4.2% |
| Domain authority increase | 35 to 48 |
The startup saw a 320% ROI on GEO investment within the first quarter. Additionally, their brand was now consistently recommended alongside well-known competitors for queries like "free budgeting app" and "how to save money automatically."
Key Takeaways
- AI search engines prioritize structured, authoritative content. Proper schema markup and high-quality backlinks are essential.
- Direct answers matter. Start content with a concise answer to the target question.
- Freshness is a ranking factor. Regularly update content to maintain visibility.
- Monitor and iterate. Use tools like Otterly.ai or Peec AI to track citation frequency and adjust strategy.
- GEO is a long-term investment. While initial results appeared in 5 weeks, sustained efforts yield compounding benefits.
To learn how to apply these strategies to your business, read our How to Optimize for AI Search Engines guide or explore our GEO Toolkit.
About the Client
The client is a fintech startup that offers a personal finance app with AI-powered budgeting and expense tracking. Founded in 2020, they have over 500,000 registered users and have been featured in TechCrunch and Forbes. Their mission is to make financial management effortless through automation.
Results based on a 12-week GEO campaign conducted in Q2 2024. Individual results may vary. For a custom GEO audit, contact our team.
