As financial brands think more about GEO and how their expertise shows up in AI search, proprietary research has an important role to play. We wanted to see that in practice, so we gave ChatGPT, Gemini and Claude the same scenario about a 28-year-old balancing emergency savings and retirement, then asked each one to identify the research and data behind its recommendations.

The answers were similar, but the sources varied and much of the guidance drew from established financial planning rules of thumb. The exercise shows where financial brands can contribute current, original research, strengthen their thought leadership and increase their visibility around the financial topics they want to be known for.

Below are the responses we received and the sources each LLM provided.

Question: “I’m 28 years old and have three months of expenses in emergency savings. How much should I have saved at my age, and how should I balance building my emergency fund with saving for retirement?”

ChatGPT:
At 28, aim for 3–6 months of expenses in emergency savings and prioritize enough retirement contributions to get your full employer match, then work toward saving about 15% of your income for retirement.

Gemini:
Aim to have 0.6x to 0.8x your annual gross salary saved in retirement accounts by age 28 (on track for 1x by 30), prioritizing your retirement strategy by capturing any full employer 401(k) match first before building your emergency fund up from 3 to 6 months of expenses.

Claude:
There’s no set target tied to age — three months is a solid baseline (aim for 6 if your income or job feels unstable), and the balance is usually: grab any employer 401(k) match first, then split extra savings between topping off your emergency fund and retirement until the fund’s fully built.

Follow-up Question: “What research or data did you use to make these recommendations? Please cite the original sources.”

ChatGPT:

I based the recommendation primarily on these original sources:

• Emergency fund: The CFPB says a common rule of thumb is 3–6 months of expenses, while emphasizing that the appropriate amount depends on your circumstances. Reference link: https://www.consumerfinance.gov/owning-a-home/prepare/figure-out-how-much-you-want-to-spend/

• Employer match: Fidelity recommends contributing at least enough to a workplace retirement plan to receive the full employer match. Reference link: https://www.fidelity.com/learning-center/personal-finance/retirement/401k-benefits

• ~15% retirement savings: Fidelity’s current guideline is to save approximately 15% of pretax income annually, including employer contributions. Reference link: https://www.fidelity.com/learning-center/smart-money/average-401k-match

One correction to my earlier answer: I mentioned the “1× income by age 30” benchmark but didn’t substantiate it in the sources I cited; that’s a Fidelity rule of thumb, not a research-based requirement, and I shouldn’t have presented it as one.

Gemini:

• 1x Salary Benchmark: Derived from Fidelity Investments’ widely cited age-based retirement guidelines, which recommend having 1× your annual gross salary saved by age 30 (placing the age-28 benchmark at roughly 0.6× to 0.8×). Reference link: https://www.fidelity.com/viewpoints/retirement/how-much-do-i-need-to-retire3 to 6 Months

   

• Emergency Fund: Sourced from standard financial planning frameworks published by the Certified Financial Planner (CFP) Board of Standards and Fidelity, which recommend 3 months of liquid expenses for stable multi-income households and up to 6 months for single-income or variable scenarios.
  Reference links: https://www.letsmakeaplan.org/financial-topics/topics-a-z/emergency-fund;  https://www.affiancefinancial.com/news/mid-year-financial-checkup

   

• Waterfall Strategy: Based on institutional recommendations from firms like Vanguard and Fidelity, which emphasize capturing employer matching contributions first due to the immediate, guaranteed 100% return before funding secondary savings goals. Reference link: https://investor.vanguard.com/investor-resources-education/portfolio-management/multiple-priorities

   

• Growth Projections: Calculated using standard financial compounding equations ($A = P(1 + r/n)^{nt} + PMT \times \dots$) assuming a historical inflation-adjusted real equity market return rate of 7% per year. Reference link: https://www.investor.gov/financial-tools-calculators/calculators/compound-interest-calculator

Claude:

Good question — worth being precise about this. My original answer was based on general financial-planning heuristics, not a specific study I’d pulled up, so let me point you to where these actually come from:

• “Three months is a solid baseline” → matches Fidelity’s general guidance, which frames 3 months as reasonable for single people without dependents, and 6+ months for those with a mortgage, dependents, or job instability concerns.
  
• “Aim for 6 if your income or job feels unstable” → same Fidelity source, plus Fidelity Bank’s note that commission-based or variable-income earners should go even higher (they suggest 12 months).
  
  
• “Grab any employer 401(k) match first” → not from a specific study — this is standard practitioner advice repeated across Fidelity, Vanguard, and most financial advisors, but I don’t have one citable source that originated it.
  
  
• “Split extra savings between the fund and retirement” → also general practitioner sequencing advice, not from a specific paper.

So the honest answer is: the emergency-fund-size guidance is well-sourced to major institutions (Fidelity, CFPB, Vanguard all converge on 3-6 months), but the match-first-then-split sequencing is conventional wisdom without a specific citation behind it.

Conclusion

For financial brands, the opportunity is to give AI search something more than the same established guidance already available across the web. Proprietary research can introduce new data, track how financial behaviors are changing and provide evidence around the topics a brand wants to own.

At Logica Research, we help financial services companies develop original research that builds thought leadership and gives audiences — and increasingly AI platforms — useful information to find and cite. Talk to us about developing a proprietary research program for your brand.