AEO · London · Finance
How UK firms get cited by AI search in 2026.
The short answer. UK finance buyers ask ChatGPT, Perplexity, and Google AI Overviews for wealth, brokerage, and pension recommendations now. AI engines pick which London firms to cite based on six signals: FinancialService JSON-LD with FCA registration declared, llms.txt at the root, named partner / portfolio manager E-E-A-T, FCA-aware comparison content that names competitors directly, deep public-facing service pages, and third-party mentions in FT, Citywire, This Is Money, and MoneyWeek. Most City and Canary Wharf firms ship none of these. The FCA constraints are real but pro-AEO once you understand them: AI engines reward fact-stated specificity, which is exactly what the FCA demands.
If you run a London-based finance brand, the marketing surface where buyers find you has shifted. A decade ago a high-net-worth prospect asked their existing accountant for a wealth manager referral. Five years ago they Googled "best wealth manager London 2020" and read the top three results. Today, increasingly, they paste a sentence into ChatGPT or Perplexity: "Best UK wealth manager for £2M portfolio, prefers ESG, doesn't want a tied agent, FCA-authorised." The AI returns three to five named firms with one-line summaries. Whichever firms get cited get the introduction. Whichever do not are invisible regardless of brand strength.
UK finance has a structural quirk that makes AEO trickier than for US peers: FCA promotional rules under COBS 4 and the new Consumer Duty regime constrain how copy can be written. Vague claims, ambiguous performance figures, and unsubstantiated comparisons are not allowed. That sounds like an AEO disadvantage. It is actually an advantage, because AI engines reward fact-stated specificity over marketing copy. The constraint pushes UK finance brands toward the exact copywriting style AI engines cite. The brands that have not figured this out yet are leaving the citation set to a small number of mid-tier competitors that did.
Map your structural strategy to the queries you want to win. The London finance prompts AI engines see most often:
Every one of these queries is winnable with structural work. The AI engine is making a citation decision and it needs sources to summarise. If your firm's site is structured to be summarisable, you are in the candidate set.
Schema.org's FinancialService type is the canonical machine-readable container for a wealth manager, broker, IFA, or financial planner. The deep version includes name, address, areaServed, serviceType (wealth management, SIPP, ISA, etc.), feesAndCommissionsSpecification, identifier (declare the FCA Reference Number here), parentOrganization (if your firm is part of a group), and provider. Most London finance sites either skip schema entirely or ship the thin Organization stub. Deep FinancialService JSON-LD is the single highest-leverage technical fix because it tells AI engines exactly what regulator, what services, what fee structure, and what jurisdictions apply.
For UK finance specifically, the identifier property in Organization JSON-LD should carry your FCA Reference Number with the propertyID set to "FCA Reference Number." This gives AI engines a verifiable trust signal that maps directly to the FCA Register, which AI engines cross-reference for compliance-flavored queries. We have not seen another UK finance AEO playbook flag this, and it is one of the cheapest, most-leveraged fixes available.
A small markdown file at yourfirm.com/llms.txt declaring service categories (wealth management, SIPP, ISA, advisory, execution-only), client segments (HNW, UHNW, institutional, retail), key URLs (services, regulatory, fees, contact, team), and a one-paragraph firm description. We have a full guide to llms.txt structure. For UK finance, also include a one-line statement that the firm is FCA-authorised with the FRN inline.
AI engines reward sites that show real humans with real expertise. For UK finance this is even more important because buyers are choosing whom to trust with their money. Add bio pages for partners, portfolio managers, and senior advisers. Each bio should have a Person JSON-LD block, qualifications named (CFA, CFP, FPFS, IMC, Chartered Financial Planner, etc.), years of experience, AUM responsibility if disclosable, and a link from the firm's homepage. UK finance brands that ship faceless "our team" carousels lose to firms that ship real bio pages with credentials.
The objection most UK finance marketers raise is "we cannot name competitors." The FCA does not prohibit comparative advertising. COBS 4.5A requires comparisons to be fair, balanced, factually accurate, and substantiated. A page titled "Hargreaves Lansdown vs Interactive Investor: 2026 Fee Comparison" with cited fee data, a fair side-by-side table, dated, sourced, and explicitly stated as informational rather than advisory is FCA-compliant. It is also one of the highest-converting query classes that exists for UK finance buyers. Refusing to publish comparison content keeps you out of the entire alternatives / X vs Y query universe.
AI engines weight where else your firm is mentioned. The places that move the needle for London finance:
You cannot manufacture these overnight. You can earn them with PR-led pitching to the right journalists, by being available for category commentary, by ensuring your FCA Register and Companies House entries are clean, and by being mentioned positively in trade-body directories.
feesAndCommissionsSpecification, serviceType, areaServed.identifier. Include parentOrganization if applicable.AEO (Answer Engine Optimization) is the practice of structuring a website so AI engines like ChatGPT, Perplexity, Google AI Overviews, and Claude cite it when answering questions. UK finance buyers increasingly ask AI for service comparisons (best wealth manager in London, who handles SIPP transfers, alternatives to Hargreaves Lansdown). If a London finance firm is not structurally readable to AI engines, it disappears from those answers regardless of how strong the brand is on Google.
The most common finance-related queries we see hitting UK AI engines are: best wealth manager London, alternatives to St James's Place, who handles SIPP transfers in London, FCA-regulated robo-advisors UK, best private bank for HNW individuals UK, ISA providers compared, fixed-income brokerage with low fees London, FX hedging providers for SMEs UK, and category-specific comparisons like Hargreaves Lansdown vs AJ Bell vs Interactive Investor. AI engines also see compliance-flavored queries (does X firm offer ESG screening, is X firm FCA-authorised) which require well-structured About / Regulatory pages to answer.
FCA promotional rules (COBS 4 and the new financial-promotions regime under the FCA's Consumer Duty) constrain marketing copy more tightly than US disclosures. AI engines reward structured, fact-stated content over promotional copy, so the FCA constraint is actually aligned with AEO. The risk is over-cautious legal teams stripping all specificity, leaving pages with nothing to summarise. The fix: keep regulatory disclaimers visible, but write About / Service pages with named portfolios, named regulators, named coverage, named licences. Specificity beats vague compliant copy for AI citations.
Six signals: (1) FinancialService or FinancialProduct JSON-LD with depth, (2) Organization JSON-LD with FCA registration number declared as identifier, (3) llms.txt at the root with declared categories (wealth management / private banking / SIPP / etc), (4) named author / partner / portfolio manager E-E-A-T with Person schema, (5) substantive comparison content that names competitors directly, (6) third-party mentions in FT, Times, Citywire, This Is Money, MoneyWeek, and category-specific UK financial press. UK finance specifically also benefits from being mentioned on FCA Register, Companies House, and trade body pages.
Yes, with FCA-aware framing. The FCA does not prohibit comparative advertising; it requires it to be fair, accurate, and substantiated. A page titled "Hargreaves Lansdown vs Interactive Investor 2026" with a fair side-by-side fee comparison, fact-stated, sourced, and dated is FCA-compliant and AEO-rewarding. Refusing to compare keeps you out of the alternative-to and X vs Y query class entirely, which is one of the highest-converting query classes for finance buyers.
6 to 14 hours of focused work, weighted heavily toward FCA-aware copywriting on the About / Regulatory / Service pages, plus structured-data implementation. Multi-jurisdiction firms (UK + EU + US presence) take longer because each regulator gets its own block in Organization JSON-LD. Single-jurisdiction UK firms can ship the structural pieces in two sprints.
Run your firm's homepage and About / Regulatory page through the free Meridian15 AEO Audit. The 14-signal grade tells you exactly which structural pieces are missing, no email gate. From there, the highest-leverage fixes for UK finance specifically are: deep FinancialService JSON-LD (one afternoon's work, biggest single uplift), llms.txt with FRN inline (45 minutes), and named partner bio pages with Person schema (a week or two depending on team size). The London finance brands that ship this stack in 2026 will be the ones AI engines cite for the rest of the decade. The window to be early is open in UK finance specifically. North American competitors are further along.
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Same audit we run for UK finance clients. 14 signals, no email gate. Find the gaps before your competitor does.
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