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01 · Industry · Finance & Fintech

AI is now the first financial adviser people ask.

Before comparing rates on an aggregator, people describe their situation to an AI assistant and ask which card, loan, broker or platform fits. CiteRank AI measures what the 8 major engines say, identifies misstated terms, and ensures your compliance disclaimers are cited.

Vertical benches currently run 8 engines; full tracking covers all 8. Note: AI answers are not financial advice.

8
AI engines tracked
400+
Product-intent prompts
14d
Free trial
02 · Industry challenges

Compliance and trust in the generative era.

Engines synthesise rates, fees and eligibility from whatever they can read. When your disclaimers are buried or your terms are outdated, AI risks misrepresenting your brand to high-intent buyers.

Rate & fee accuracy prompts

'Lowest fee broker' or 'Current savings rates for X'. We track when AI quotes stale terms or withdrawn offers.

Compliance & disclaimer citation

We measure whether AI includes necessary risk warnings and disclaimers when recommending your financial products.

Trust & licensing signals

Regulator registration (SEC, FCA, RBI), insurance and custody arrangements are decisive but rarely structured for AI citation.

Hallucinated rate detection

Engines often invent income or credit criteria. We flag these misstatements for your compliance and marketing teams.

Eligibility & segment prompts

AI routes buyers based on its interpretation of your eligibility criteria. We ensure those interpretations are accurate.

Audit-ready reporting

Marketing needs a defensible record of what engines said and when, especially regarding regulated financial claims.

03 · AI visibility benchmarks

Which products the engines put in front of customers.

A sample of the finance prompt graph replayed across engines. Note: Modelled data for illustrative purposes only.

Category promptChatGPTGeminiPerplexityClaudeAnswer concentrationYou cited?
Best low-fee broker for a small portfolioProvider A, Provider B, AggregatorProvider A, Provider B, AggregatorProvider A, Provider B, AggregatorProvider A, Provider B, Aggregator3 of 15
Credit card for someone with thin credit historyProvider C, Provider A, Provider DProvider C, Provider A, Provider DProvider C, Provider A, Provider DProvider C, Provider A, Provider D4 of 12
Fastest business loan for a small companyProvider E, Aggregator, Provider BProvider E, Aggregator, Provider BProvider E, Aggregator, Provider BProvider E, Aggregator, Provider B3 of 13
Safest platform to hold long-term savingsProvider A, Provider F, Provider CProvider A, Provider F, Provider CProvider A, Provider F, Provider CProvider A, Provider F, Provider C3 of 10

Illustrative modelled data — not live client results. Names anonymised.

04 · Case study

A consumer lending brand, modelled end to end.

A lender was consistently described with outdated rates and missing disclaimers. We published current terms as structured data and ensured compliance disclaimers were machine-readable.

What we changed
  • FinancialProduct, Offer and Organization schema published for every product line
  • Compliance disclaimers exposed as machine-readable content for AI citation
  • Regulator registration and insurance details published as citable trust pages
  • Weekly replays with automated misstatement flagging for compliance review
  • Hallucination monitoring for interest rates and fee schedules
Modelled outcome
11% → 34%
Citation share on product prompts
5 wks
To first corrected engine answer
−68%
Prompts quoting outdated terms

Illustrative modelled data — not live client results. Names anonymised.

05 · Embedded demo

Compliance-aware visibility monitoring.

Visibility trend and share of voice with built-in disclaimer tracking.

AI visibility · Share of Voice

AI Visibility — Share of Voice over time

12-week trend, weighted across the tracked LLMs.

Current
63/100
42 pts vs W1
020406080W1W2W3W4W5W6W7W8W9W10W11W12
Your bank · PerplexityTop competitor

Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.

Share of Voice · per engine

AI recommendation share — you vs competitors

Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.

Illustrative modelled data — not live client results. Names anonymised.

06 · FAQ

Questions from finance & fintech teams.

How do you handle compliance disclaimers?

CiteRank measures whether AI engines are correctly citing your required disclaimers. We help you structure your content so engines can easily find and include necessary risk warnings.

Can you flag when an engine states our rates incorrectly?

Yes. Replays capture the full answer text, so misstated rates or fees are flagged for your compliance record.

Do you send customer data to AI engines?

No. Only public-intent prompts are replayed. No customer, application or account data is involved.

07 · Get started

See what AI tells customers about your rates.

Run a free finance audit and get the product-level breakdown of citations and misstatements.

Run Free Audit