Ask a question about a pension, a loan or a trading account today and there is a good chance the first thing you read is not a list of links. It is an answer, written by an AI system, with a handful of sources attached. Google's AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini and Copilot all work this way to a greater or lesser degree.
For financial services firms, that raises a practical question: if the answer is written for the customer, how do you make sure your business is part of it?
What "AI search" actually means
AI search is any search experience where a language model composes the response. Some systems retrieve pages from a search index and summarise them. Others rely more on what the model learned in training. Many combine both. The names for optimising for this vary: AI SEO, generative engine optimisation (GEO) and answer engine optimisation (AEO). They all describe the same job: making your brand and your content easy for these systems to find, trust and quote.
How it differs from traditional SEO
- The unit of success changes. In classic SEO you want a page to rank. In AI search you want your brand and your information to be included in an answer, and ideally cited.
- Clarity beats cleverness. Models favour pages that state facts plainly: who a product is for, what it costs, what it covers, who regulates you.
- Your footprint outside your site matters more. Assistants cross-check. If review sites, directories, press and your own pages disagree, you are harder to describe accurately.
- Measurement is different. There is no single rankings report. You track whether and how you are mentioned across a set of representative questions, and you track referral traffic where it exists.
What stays the same
Much of the foundation is unchanged. If your site cannot be crawled, loads slowly or has thin content, traditional search and AI systems that rely on search indexes will both struggle. Expertise, authorship and trust signals matter in both, and for finance they matter a great deal.
Why finance needs extra care
Money topics are high stakes, so AI systems and search engines are cautious about what they surface. That raises the bar for evidence, and it also creates risk. An assistant can repeat an old rate, mis-describe a product or blur the line between information and advice. Keeping your information current, dated and consistent is a compliance issue as well as a marketing one.
Where to start
- List the 30 to 50 questions your customers ask before they buy, and put them to the main assistants. Note who is cited and how you are described.
- Check that your key pages are crawlable, current and clear about the basics.
- Make sure your regulatory status, leadership and contact details are consistent everywhere they appear.
- Build content that answers real questions, written by named, qualified people.
- Agree how compliance will review and approve it, so you can move at a sensible pace.
Nobody can guarantee a particular placement in an AI answer, and you should be wary of anyone who does. What you can do is make your business the easiest one to understand and verify.