The shift from traditional search to LLM-powered discovery represents the biggest change in information access since the Netscape Navigator browser and Google arrived. Robots will interpret, re-deliver and merge your content with competitors in ways you have no control over.
The brutal reality is that your brand might rank #1 on Google but be completely invisible when users ask ChatGPT, Claude, or Perplexity about your business or products.
If you want your financial business to remain competitive in the emerging AI-powered search landscape, you absolutely need to have a solid content strategy. And a content strategy that relies on your own, original and authentic thought leadership.
With 40% of consumers using AI for financial advice (Finder, 2025) and AI-driven traffic growing +1,200% (Adobe Analytics, 2025), you risk significant visibility loss as search behaviours fundamentally change.
Many financial businesses take a minimal-content approach, and this creates a critical vulnerability, which is fundamental irrelevance and invisibility to LLMs.
Why ignoring this shift to AI search is not an option.
With AI overviews, the winner takes it all. LLMs learn from their own outputs, creating a "rich get richer" dynamic where frequently cited sources receive more citations in future queries. The longer financial services firms keep their heads in the sand, other nimble competitors will claim the new territory.
Before contacting your business, your potential clients search online. If your financial firm isn't visible in those searches, your competitors will be. And for prospects who may have little brand loyalty, that is where their business will go.
Are financial services firms using AI?
According to a Bank of England / FCA survey, 75% of financial services firms were already using artificial intelligence (AI), with a further 10% planning to use AI over the following three years. Fund selectors will be using LLMs to search for and research investment opportunities. You need to be in the conversation.
Financial services firms were already using artificial intelligence in 2024
Additional firms planning to use AI over the following three years
Are financial advisers using ChatGPT?
According to the T3/Inside Information 2025 Software Survey, 41.78% of Advisers report that they use one of the AI programs such as ChatGPT, Copilot, Gemini, Perplexity, Anthropic, and others, for research and generative language capabilities in their businesses. This category shows strong adoption and is expected to grow, potentially rivaling financial planning software offerings.
Invisibility in AI responses can mean exclusion from adviser consideration sets. For example, when an advisor asks "Which global equity income funds have strong quality characteristics?" and receives recommendations for top rankers like BlackRock, Vanguard, and Fidelity but not yours, the referral never materialises. This compounds monthly as AI adoption accelerates.
Financial advisers using ChatGPT, Copilot, Gemini, Perplexity, or similar AI programs for business purposes
AI-driven traffic to UK retailers grew over 1,200% in the past year
What if an institutional investor asks ChatGPT about your financial firms' fund performance issues?
Without any LLM-friendly content available, the answer may very likely cite Trustpilot complaints and fund performance complaints. This will be absent any context from better quality sources that could offer balance and perspective. Finance is complex and trust-driven. Without an LLM-friendly content strategy, you risk reputational damage from these one-sided narratives, plus potential compliance issues if incorrect information spreads.
What are the financial risks if you don't optimise for LLMs?
The consequences of inaction merit explicit quantification. AI-driven search traffic converts 5× better than traditional sources (Superprompt, 2025), while organic search CTR falls by 34.5% when AI Overviews appear (Digitaloft, 2025). Firms without AI visibility face a double compression: rising paid acquisition costs as organic traffic declines, combined with lower conversion rates from remaining traditional channels.
Organic search click-through rate falls when AI Overviews appear
AI-driven search traffic converts 5× better than traditional sources
SEO is being re-framed as a content-first strategy.
Technical SEO still matters, but no longer the primary driver of visibility. To stand out in AI search, your content needs to answer real questions, not just repeat popular keywords and it should anticipate follow-up questions. Businesses must develop content that reads naturally in a conversational way, offers useful opinion or information and delivers concrete value to the reader.
LLM search is multi-modal, why is single format content no longer enough?
Older SEO focused on page rankings but modern AI systems process multiple formats simultaneously to synthesise comprehensive answers. Sites relying solely on text-based content are already losing visibility to multimodal competitors. AI models like Claude 4, with its 1M token window, can now analyse text, images, code, and structured data in one pass.
The competitive gap is measurable. When text stands alone without accompanying visuals, charts, or video, it faces a structural disadvantage in AI's information-retrieval architecture. AI platforms like ChatGPT, Perplexity, Google SGE, and Gemini now prioritise diverse media sources when formulating answers. This means a well-written article without supporting visuals may lose out to a competitor's more modestly-written piece that includes diagrams, screenshots, or instructional video.
Is financial services content valued by LLMs?
Authority is up for grabs and most financial services firms are not short of credible authority. The trust the LLMs have in your content will determine your visibility. Ranking highly in search results builds credibility with users who are comparing providers. Financial services have a wealth of primary source material AI assistants value - but a weak content strategy will limit your visibility. Authenticity is Citability in AI's eyes. So, (with a compliance hat on as well) create the content that AI cites, not the content it steals.
How to make my financial content visible in ChatGPT and other LLMs
Most financial firms already have a wealth of content on their websites. But while SEO is often a core focus, many teams overlook how their content is interpreted by LLMs.
Here are a few practical ways you can restructure your content to improve visibility in LLM-powered search results:
- Add FAQ sections to pages that get high traffic
- Use Q&A formats for investment guidance content
- Implement semantic HTML around existing articles
- Create "How-to" and comparison content that LLMs prefer to cite.
Add FAQ Sections
Add FAQ sections to pages that get high traffic, making it easier for LLMs to parse and cite your most important content.
Use Q&A Formats
Use Q&A formats for investment guidance content to match how users naturally ask questions in conversational AI search.
Implement Semantic HTML
Implement semantic HTML around existing articles to help AI systems understand content structure and relationships.
Create How-to Content
Create "How-to" and comparison content that LLMs prefer to cite when answering user queries.
What is schema markup and why is it important?
Schema markup is a form of structured data embedded in the backend of your website. It tells AI systems what your content is about. Think of it as a digital roadmap that helps AI understand the context, relationships, and intent behind your content. Pages with comprehensive schema markup are 13% more likely to be cited in LLM responses.
Why are Q&A formats important for AI search visibility?
LLM optimisation research shows that conversational AI queries have evolved from 2-3 words to 10-11 words, reflecting more complex, question-driven searches. Content optimised with dedicated FAQ sections using both visible formatting and FAQ schema markup achieves significantly higher visibility. Listicles are also favoured by the LLMs as AI systems can easily parse and cite numbered or bulleted lists rather than flowing text.
Can AI crawlers easily access your web site?
Check your robots.txt configuration to ensure these user agents are explicitly allowed:
- GPTBot
- ClaudeBot
- PerplexityBot
- OAI-SearchBot
- ChatGPT-User
LLMs like Perplexity have been documented modifying crawler behavior, making explicit allowances critical. ChatGPT also uses multiple user agents that must be individually permitted.
AI crawlers are more error prone and are less efficient than traditional search crawlers, making performance optimization critical for successful indexing.
How critical is it for financial services firms to address AI search?
Investment firms that appear in AI-generated responses to queries like "What are effective ESG engagement strategies?" or "How do institutional investors approach decarbonisation?" gain significant competitive advantage in thought leadership positioning.
The financial services sector faces unique challenges in LLM optimization due to regulatory compliance requirements, the need for accuracy in financial contexts, and the complexity of institutional investment concepts. However, these same factors create opportunities for authoritative nimble businesses to dominate AI citations when properly optimized. Those that optimize for LLM visibility now will establish thought leadership positioning that compounds over time as these platforms increasingly mediate professional research and decision-making.
Where should I start?
As excellent content becomes increasingly vital to stand out in AI search, now's the time to ensure yours stands out. Fiducial Communications has over ten years of expertise in creating engaging financial content across multiple formats.
Get in touch to explore how we can help.
Ready to optimise your content for AI search?
Contact us to develop your content strategy and stay visible when LLMs deliver the answer.
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