Questions buyers ask AI
Examples of the questions where AI names specific brands. Track questions like these for your own business.
The sources AI leans on
When AI engines answer questions about banks, fintechs and financial services, they combine what the model learned in training with pages found through live search. These kinds of sources tend to shape the answer:
- Comparison and aggregator sites for cards, loans and insurance.
- Financial news and personal finance publishers.
- Regulator and official sources for rules and rates.
- Reviews in app stores and on forums.
- Your own product pages with rates, fees, eligibility and terms.
What to do
- 1Track product questions by type, such as cards, loans, savings and insurance, and by audience.
- 2Publish clear product pages with current rates, fees, eligibility and a last updated date.
- 3Keep aggregator listings and your own pages in sync whenever rates change.
- 4Explain terms in plain language, with examples and calculators.
- 5Earn accurate coverage from personal finance publishers.
- 6Check AI answers for old rates and wrong eligibility rules, and fix the sources.
Watch out for
- Old interest rates and fees that AI repeats long after they change.
- Rules on financial promotions in your market, which also cover what you publish.
- Aggregator pages that list your product with missing details.
How Variask helps
- Track the questions your buyers ask across ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI, in every market you sell in.
- See which competitors get recommended instead of you, and the sources behind each answer.
- Catch wrong facts about your prices, products or policies, with the pages that likely caused them.
- Get content briefs and site fixes for the questions you lose, and measure AI traffic to your site.