Two AI Search Platforms, Two Different Risk Profiles
UK regulated businesses — financial services firms, law practices, healthcare providers — face a unique challenge in AI search. The AI platforms that recommend and cite businesses operate differently, source information differently, and carry different levels of risk for regulated entities.
Perplexity and Google AI Overviews are the two AI search experiences most commonly encountered by UK professionals and consumers. Understanding how each works, what each prioritises, and where each poses opportunities or risks for regulated businesses is no longer optional. It is a compliance and commercial imperative.
How Google AI Overviews Work for Regulated Queries
Google AI Overviews appear directly in Google search results, generating a synthesised answer above the traditional blue links. For regulated sector queries, Google applies additional caution.
What regulated businesses need to know:
- YMYL sensitivity. Google classifies financial, legal, and health queries as “Your Money or Your Life” topics and applies heightened quality thresholds. AI Overviews for these queries are more conservative, drawing more heavily on established authoritative sources — regulatory bodies, professional directories, government websites, and high-authority editorial content.
- Source attribution. Google AI Overviews include source links, giving users (and regulators) the ability to verify claims. For regulated businesses, this is an advantage — if your content is the source, you get both the citation and the click.
- UK-specific results. Google personalises results by location, meaning UK-based searches typically surface UK-relevant content. This is important for firms regulated by the FCA, SRA, or CQC, whose regulatory context is jurisdiction-specific.
- Conservative citation. For high-stakes queries, Google AI Overviews often cite fewer sources and hedge their language more heavily. Being one of two or three cited sources carries enormous weight.
How Perplexity Works for Regulated Queries
Perplexity operates as a standalone AI search engine, synthesising answers from web sources with inline citations. Its approach differs from Google’s in several ways that matter for regulated businesses.
What regulated businesses need to know:
- Source diversity. Perplexity draws on a broad range of sources, including some that Google’s quality filters might suppress. This means your content can appear in Perplexity answers even if it does not rank well in traditional Google results — but it also means competitor content of varying quality may appear alongside yours.
- Inline citations with links. Perplexity numbers its citations and links directly to sources within the answer text. For regulated businesses, this creates a direct attribution trail that is valuable both commercially and for compliance documentation.
- Less YMYL conservatism. Perplexity does not apply the same YMYL caution as Google. This is a double-edged sword for regulated businesses. It means more opportunity to be cited — but also more risk that AI-generated answers about your firm or sector contain inaccuracies or misleading context.
- Growing professional adoption. Perplexity’s user base skews towards professionals and researchers — exactly the audience that regulated businesses want to reach. In-house counsel, financial advisers, and healthcare professionals are among its most active UK user demographics.
Platform Comparison for Regulated Sectors
| FACTOR | GOOGLE AI OVERVIEWS | PERPLEXITY |
|---|---|---|
| YMYL caution level | High — conservative for regulated queries | Moderate — less filtering |
| Source attribution | Yes — source links below overview | Yes — inline numbered citations |
| UK regulatory context | Strong — location-personalised | Growing — less UK-specific tuning |
| Professional user base | Broad | Skews professional/researcher |
| Citation opportunity | Fewer slots, higher authority required | More slots, broader source range |
| Misinformation risk | Lower (more conservative) | Higher (less filtered) |
| Click-through potential | Moderate — some users click sources | Higher — inline citation links encourage clicks |
What This Means for Your GEO Strategy
For UK regulated businesses, the practical implications are clear:
Optimise for both, but differently. Google AI Overviews reward the kind of authoritative, well-structured, heavily cited content that regulated businesses should already be producing. Perplexity rewards breadth and recency — regular publishing, substantive analysis, and content that addresses specific professional queries.
Monitor both for accuracy. Regulated businesses have a compliance obligation to understand what AI platforms say about them. If Perplexity or Google AI Overviews are generating answers about your firm that are inaccurate or misleading, you need to know — and you need a strategy to correct the underlying signals.
Prioritise based on your audience. If your buyers are primarily searching within Google (the majority of UK users), Google AI Overviews should be your primary GEO focus. If your buyers are professionals who have adopted Perplexity as a research tool — and adoption is growing rapidly among in-house legal teams, financial analysts, and healthcare professionals — Perplexity visibility may deliver disproportionate returns.
Build entity authority that works across both. The foundational GEO work — entity engineering, structured data, authoritative content, third-party citations — improves your visibility on both platforms. The MarGen approach is to build platform-agnostic authority that performs wherever AI models source their answers.
Find out where you appear — and where you don’t. Request your free AI Visibility Audit →