This page consolidates verified UK financial services AI search statistics for 2026 — covering buyer behaviour, citation share, AI adoption inside regulated firms, and the Consumer Duty implications. All major statistics are sourced. Where MarGen primary research is cited, methodology notes are linked.
Adoption: How UK Financial Services Buyers Use AI Search
| Segment | % Using AI for Supplier Research | Source / Date |
|---|---|---|
| CFOs & Finance Directors (mid-market) | 62-71% | MarGen Q1 2026 buyer survey, n=280 |
| Procurement leads (FS firms) | 58-64% | MarGen Q1 2026 survey |
| Investment professionals (WM selection) | 73% | FT Adviser Q4 2025 survey |
| HNW private clients (under 50) | 51-58% | MarGen Q1 2026 survey |
| HNW private clients (50-65) | 38-42% | MarGen Q1 2026 survey |
| Private clients 65+ | 29-34% | MarGen Q1 2026 survey |
| Pension trustees | 47% | PMI member survey 2025 |
Across UK B2B financial services buying broadly, 58-67% of buyers now report using AI tools as part of supplier or adviser research, up from 24-31% in early 2024. Adoption has more than doubled in 24 months and continues to accelerate, particularly among finance directors and CFOs at mid-market firms.
The implication is direct: if you sell B2B services to UK financial services, the supplier-evaluation question is increasingly answered by AI before you hear from the buyer.
Citation Share: Who Is Actually Being Cited
UK FCA-regulated firms split sharply on citation share:
- Top 20 national wealth managers (by AUM) — appear in 60-80% of relevant AI queries on ChatGPT and Perplexity
- Mid-market regional IFAs — typically 5-25% citation share in relevant queries
- Specialist boutiques with no editorial third-party footprint — frequently under 5% citation share
- Insurtech and fintech challengers — bimodal distribution (either heavily cited due to PR investment or invisible)
The variance is overwhelmingly explained by third-party authority footprint — editorial press coverage, podcast presence, named-adviser bylined content in trade publications, and directory presence (Citywire, Money Marketing, FT Adviser, This Is Money rankings).
In MarGen’s Q1 2026 benchmarking of 60 UK FCA-regulated firms across IFAs, wealth managers and insurtech, the firms with highest citation share averaged:
- 47 trade press editorial mentions in the prior 12 months
- 18 named directory inclusions (Citywire, FT Adviser, etc.)
- 22 podcast or speaker appearances by named principals
- 3.4 articles per month of bylined named-author content
The firms with lowest citation share averaged:
- 6 trade press mentions
- 4 directory inclusions
- 2 podcast appearances
- 0.9 articles per month of bylined content
FCA Consumer Duty and AI Search
FCA Consumer Duty came into full force July 2024 and now applies to all FCA-regulated firms. The four outcomes — products and services, price and value, consumer understanding, consumer support — each create content obligations that map directly to AI-extraction surfaces.
Firms producing genuinely well-structured Consumer Duty disclosure content are simultaneously producing the kind of material AI models cite well:
- Consumer understanding content (clear plain-English service descriptions, fair pricing comparisons, transparent fee structures) — directly extractable as AI answers
- Price and value disclosures (cost transparency, fee benchmarking against fair-value framework) — citable in “what should I pay” buyer queries
- Consumer support content (clear contact paths, complaints handling, vulnerable client support) — surfaces in trust-related buyer research
Conversely, firms whose Consumer Duty documentation is buried in PDFs, behind login walls, or written in legacy regulatory language are penalised on both axes — they fail FCA fair-value scrutiny and they fail AI extraction.
The strategic point: a single content engineering investment can satisfy Consumer Duty disclosure obligations and drive AI citation share. Firms treating these as two separate workstreams are duplicating cost.
AI Adoption Inside FCA-Regulated Firms
The PRA’s 2025 AI Thematic Review and FCA Tech Sprint findings give the picture inside the firms:
| AI Use | % of FCA-Regulated Firms |
|---|---|
| Any internal AI tool deployment | 78% |
| AI in document review and processing | 64% |
| AI in KYC and onboarding | 41% |
| AI in client-facing applications | 23% |
| AI in regulated advice generation | 8% |
| AI used in marketing content production | 52% |
The interesting figure for AI search is the 52% using AI in marketing content production. Most of this is structurally light (assisted ideation, structural drafting). A small minority — under 10% — is using AI to generate substantive regulated content, which carries clear FCA risk.
Buyer Behaviour: What AI Search Shifts Look Like
Across MarGen’s portfolio of FCA-regulated B2B and B2C clients, the consistent pattern from 2024 to 2026:
- Direct enquiries citing AI as the first source: 4% of inbound (2024) → 31% (2026)
- Buyers having pre-evaluated 2-3 firms via AI before contact: 18% (2024) → 64% (2026)
- Buyers requesting specific named expertise during initial contact: 22% (2024) → 47% (2026) — a direct consequence of AI surfacing named partners and specialists
- Time from first contact to instruction: dropping by 18-24% on average — buyers arrive better-pre-qualified
The strategic conclusion: the AI search surface is not just driving new enquiries; it is changing the character of all enquiries. Buyers arrive more informed, more decided, and more focused on specific named individuals.
Citation Lift Trajectories: What Regulated GEO Actually Delivers
Across MarGen’s portfolio of regulated financial services clients running a 12+ month engagement, the typical citation share trajectory is:
| Month | Typical Citation Share Range |
|---|---|
| 0 (engagement start) | 0-3% |
| 4 | 8-15% |
| 8 | 25-40% |
| 12-15 | 45-60% |
| 18+ | 55-70% (asymptotic ceiling depends on competitive intensity) |
The trajectory is slower than non-regulated B2B (compliance review extends content cycles) but the long-term ceiling is higher (regulated incumbents have stronger entity foundations once activated).
Sources and Methodology
This page draws on:
- FCA Tech Sprint published findings, 2025
- PRA AI Thematic Review, 2025
- ABI industry surveys, 2025
- FT Adviser quantitative research, Q4 2025
- Money Marketing trade press surveys, 2025
- PMI pension trustee survey, 2025
- MarGen Q1 2026 Buyer Survey, n=280 UK B2B financial services buyers (full methodology note available on request)
- MarGen Citation Benchmark, n=60 UK FCA-regulated firms, Q1 2026
Statistics on this page are reviewed quarterly. Last full review: April 2026.
Frequently Asked Questions
What percentage of UK financial services buyers use AI to research firms?
58-67% of UK B2B financial services buyers now use AI tools as part of supplier or adviser research. Highest among CFOs at mid-market firms (62-71%), lowest among private clients aged 65+ (29-34%).
Are FCA-regulated firms being cited in AI search?
Top 20 national wealth managers appear in 60-80% of relevant AI queries; mid-market regional IFAs typically 5-25%; specialist boutiques without editorial footprint frequently under 5%.
How does FCA Consumer Duty interact with AI search?
Consumer Duty’s fair-value, products-and-services, and consumer-understanding outcomes all create content obligations that map directly onto AI-extraction surfaces. Firms doing Consumer Duty well are simultaneously doing AI search well.
What’s the typical AI search citation lift for FCA-regulated firms running a serious GEO programme?
0-3% at engagement start, 8-15% by month 4, 25-40% by month 8, 45-60% by month 12-15.
Are AI tools being used inside FCA-regulated firms?
Yes — 78% report some internal deployment, but only 23% in client-facing applications, and only 8% in regulated advice generation.
Where are these statistics sourced from?
FCA, PRA, ABI, FT Adviser, Money Marketing, PMI, plus MarGen primary research (Q1 2026 buyer survey n=280, citation benchmark n=60). All statistics dated and sourced.