AEO,GEO and SEO: What financial marketers need to know

How to structure content for generative engines, long-term visibility, and client engagement.
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For years, search engine optimisation focused on helping organisations appear higher in Google. That still remains important, but the way people discover financial expertise is changing.

A potential client may now ask Google, ChatGPT, Perplexity, Gemini or Microsoft Copilot a direct question and receive one consolidated answer rather than a page of links.

For wealth managers, asset managers, private banks, family offices and financial technology companies, this changes what visibility means.

Financial marketers now need to understand three connected disciplines: SEO, AEO and GEO. Let’s get started on what they mean.

What is SEO?

SEO stands for search engine optimisation.

Its purpose is to improve how easily a website can be found through traditional search engines such as Google and Bing.

SEO covers areas including:

  • Website structure
  • Page speed
  • Mobile performance
  • Keywords
  • Metadata
  • Internal links
  • Backlinks
  • Content quality
  • Technical accessibility

 

For financial organisations, SEO is still the credibility baseline. Prospective clients continue to search for company names, compare providers, review credentials and visit websites before making contact. A technically weak or poorly structured site can make credible expertise difficult to find.

SEO helps ensure that the right pages appear when someone searches for a relevant service, question or organisation.

However, a user may now receive an AI-generated summary before reaching the conventional search results. That creates a second challenge: ensuring your content is suitable for direct answers.

What is AEO?

AEO stands for answer engine optimisation.

It focuses on making content easier for search and AI-assisted platforms to identify as a clear response to a question.

AEO can support visibility in:

  • Featured snippets
  • Google AI Overviews
  • Voice search
  • People Also Ask results
  • Direct-answer interfaces
  • AI-assisted search experiences

For example, an asset manager may publish a detailed article about private-market investing. Whereas, a conventional SEO strategy might target related search terms and build authority around the page.

An AEO approach would also make sure the article clearly answers specific questions such as:

  • What are private markets?
  • What are the risks of private-market investments?
  • How can private markets support portfolio diversification?
  • Who are private-market investments suitable for?

Useful AEO content typically includes direct introductions, descriptive headings, concise definitions, logical sections and well-written frequently asked questions.

What is GEO?

GEO stands for generative engine optimisation.

It focuses on improving the likelihood that a company, expert or piece of content is understood and referenced within answers generated by tools such as ChatGPT, Perplexity, Gemini and Microsoft Copilot.

GEO is not only about whether a website appears in search. It asks broader questions:

  • Does the AI platform recognise the company?
  • Does it understand what the company does?
  • Is the organisation associated with the right area of expertise?
  • Is its content cited?
  • Does it appear in relevant category recommendations?
  • Are competitors being referenced instead?

Generative AI tools may draw on several public sources when producing an answer. These can include company websites, media coverage, directories, research, executive profiles and third-party references.

How do SEO, AEO and GEO work together?

A well-produced article can support all three. For example, a wealth manager publishing a guide to cross-border succession planning might:

  • Use SEO to target relevant search demand
  • Use AEO to answer common client questions clearly
  • Use GEO to strengthen the company’s association with cross-border wealth planning

The same content asset can therefore support discovery, education and authority. This is particularly valuable for financial marketers working with limited time and specialist resources. The answer is not necessarily to publish more but make each piece of content work harder.

Table showing differences of AEO/GEO/SEO
Why does this matter for financial services?

Financial services have always been built on trust. People don’t choose a wealth manager, asset manager or technology provider after seeing a single advert. They compare firms, read market commentary, look at who’s behind the business and build confidence before they ever make contact.

AI is quickly becoming part of that research process. Instead of searching through pages of results, a family office might ask ChatGPT which platforms support complex reporting. An adviser may look for asset managers with specialist retirement-income expertise, while an institutional investor could ask for providers operating in a particular market.

The companies that appear in those answers have an immediate advantage. They’re introduced early in the buying journey, often before a prospect has even visited a website.

AI is already becoming part of the investor research process. HSBC's 2026 global study of around 10,000 affluent and high-net-worth investors found that 73% now use AI for finance and investment research. While most still rely on professional advisers to make final decisions , AI is increasingly shaping which firms, products and ideas they explore first.

Source: HSBC,  ‘The Trust Threshold’ Report

What should financial marketers prioritise?

1. The first priority is clarity.

Your website should define what the organisation does, who it serves, where it operates and what makes its expertise relevant. That description should remain consistent across service pages, executive biographies and external profiles.

2. The second is useful content.

Financial companies often publish credible material that is too broad, difficult to navigate or hidden inside lengthy PDFs. Important research should be supported by accessible web pages, clear summaries and focused answers to client questions.

3. The third is authority.

Generative AI platforms need signals that help them distinguish genuine expertise from promotional claims. Named experts, original research, evidence-led commentary, media references and credible external citations all strengthen that picture.

4. The fourth is technical accessibility.

Search engines and AI systems need to discover and interpret important pages. Indexing controls, robots.txt instructions, sitemaps, canonical tags, structured data and internal links should all be reviewed.

5. Finally, marketers need a measurable baseline.

That means checking where the organisation appears across traditional search and AI platforms, how it is described and which competitors are gaining visibility.

How should success be measured?

Traditional SEO metrics such as rankings, organic traffic and conversions are still important, but AI visibility introduces a different set of questions.

Are you appearing in AI-generated answers? Is your company being described accurately? Are the right pages being cited? And when someone asks about your area of expertise, are you being mentioned before your competitors?

These are the signals that help build a clearer picture of your visibility across search and AI platforms.

It’s also worth remembering that there isn’t a single definitive answer. Ask the same question in ChatGPT, Perplexity or Gemini and the response may vary depending on the platform, wording or even the location of the user.

That’s why measuring AI visibility isn’t about checking one prompt once and assuming the job is done. The best approach is to test a consistent set of questions over time, benchmark the results and look for trends. That way, AI visibility becomes something you can monitor, improve and measure- just like traditional SEO.

Search visibility now has three layers

Strong search visibility now depends on technical performance, clear content, credible expertise and a consistent digital presence across owned and external channels.The organisations that understand this early will be better positioned to shape how clients discover and evaluate them.

WAM Digital helps wealth and asset management companies assess and improve visibility across SEO, AEO and GEO.

Our Search Visibility Audit benchmarks your current position, identifies competitor gaps and provides a practical roadmap for improvement.

Let's get in touch.

WAM Digital helps wealth and asset management companies assess and improve visibility across SEO, AEO and GEO.
Frequently asked questions
 Is SEO still important?

Yes. SEO remains the foundation of online visibility. Strong technical SEO makes it easier for search engines and AI platforms to discover and understand your content.

What is the difference between SEO and AEO?

SEO focuses on helping pages rank in search engines. AEO focuses on structuring content so it can become the direct answer to a user’s question.

What is GEO?

Generative Engine Optimisation (GEO) helps organisations improve the likelihood of being recognised, referenced and cited by AI platforms such as ChatGPT, Perplexity, Gemini and Microsoft Copilot.

Do I need all three?

Yes. SEO, AEO and GEO work together. Technical SEO provides the foundation, AEO improves answer visibility, and GEO strengthens authority across AI-generated responses.

How do I know if my company is visible in AI?

The best place to start is with an AI visibility audit that benchmarks how your organisation appears across Google AI Overviews, ChatGPT, Perplexity, Gemini and Microsoft Copilot.