Article · in the banking report
Finance · Industry benchmark
When someone asks AI for the best savings account or home loan, which bank gets named — and are the rates even right?
Banking intent is shifting to conversational AI for rate comparison and eligibility checks. With 49% of consumers using AI for financial decisions (EY, 2024), visibility in LLM answers is now a core growth and compliance priority.
Vertical benches currently run 8 engines; full tracking covers all 8.
8 × 2
Engines × modes (grounded + ungrounded)
250
Banking tracked prompts per run on Platform
Weekly
Re-runs · 95% confidence bands
Who AI recommends today
The banking leaderboard, measured.
Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the citerank-bench scoring tables, recomputed weekly.
#
Brand
Mention rate
First-mention
Share of Voice
01
HDFC Bank
62%
31%
34%
02
ICICI Bank
48%
22%
24%
03
SBI
39%
14%
18%
04
Kotak Mahindra
27%
9%
14%
05
IDFC FIRST
18%
5%
10%
Live bench data · last refreshed weekly.
Category intelligence
Banking Citation Audit: The Compliance Gap in AI Answers
Direct citations inside AI answers are governed by three signals: prompt-intent alignment, engine-specific grounding skew, and domain authority in the Knowledge Graph.
Top observed buyer prompts
- "best interest rates for senior citizens 2026"
- "HDFC vs ICICI credit card for travel"
- "SBI home loan eligibility calculator"
- "is Jupiter bank safe for large deposits?"
Engine-specific grounding skew
ClaudeRegulatory & Fee clarity
PerplexityRate-comparison accuracy
GeminiBranch & Physical service discovery
Top cited domains (Banking)
01bankbazaar.com
SOV
02policybazaar.com
SOV
03economictimes.indiatimes.com
SOV
04rbi.org.in
SOV
This view summarises prompt replays captured across 8 AI engines during scheduled monitoring runs. CiteRank platform users access the full graph, refreshed on their plan's monitoring schedule.
Sample prompt set
Real banking prompts, eight engines, one question: did you get cited? Gartner predicts a 25% shift from search to AI agents by 2026 (Gartner).
Buyer prompt
ChatGPT
Gemini
Claude
Perplexity
AI Overviews
Microsoft Copilot
xAI Grok
Meta AI
You cited?
"best savings account interest rate in India 2026"
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Not yet
"HDFC vs ICICI home loan — which is better for a 30-year-old?"
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Not yet
"zero-balance account with best UPI experience"
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Not yet
"lowest processing fee personal loan for salaried 8 LPA"
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Top 5
Not yet
Where the citations leak
Three failure modes specific to finance.
01
Hallucinated rates, fees and APRs surface as a compliance exposure, not a marketing one.
02
Aggregators (Policybazaar, Bankbazaar, ETMoney) capture comparison prompts.
03
Product pages that win Google rank don't win LLM citations — the format the engines need is different.
Methodology
How a banking benchmark gets built.
01
Onboard
URL, competitors, prompt seed list. 5 minutes.
02
Audit
25 prompts × 8 engines × 2 modes, 10–20 replays each.
03
Fix
Schema, llms.txt, entity hygiene, content briefs — shipped.
04
Re-run
Weekly re-runs, deltas with 95% confidence bands.
Illustrative pattern
What a 90-day citation delta looks like.
Illustrative pattern based on our methodology — first customer results publish Q4 2026.
Before
1 / 25
Cited in 1 of 25 high-intent banking prompts across 8 engines (4%).
After · 90 days
9 / 25
Cited in 9 of the same 25 prompts (36%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.
Category Intelligence
Banking Citation Audit: The Compliance Gap in AI Answers
This section contains Verified Category Data observed during current Banking monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.
Top Category Prompts
- "best interest rates for senior citizens 2026"
- "HDFC vs ICICI credit card for travel"
- "SBI home loan eligibility calculator"
- "is Jupiter bank safe for large deposits?"
Engine Citation Skew
ClaudeRegulatory & Fee clarity
PerplexityRate-comparison accuracy
GeminiBranch & Physical service discovery
Dominant Source Domains
bankbazaar.compolicybazaar.comeconomictimes.indiatimes.comrbi.org.in
Case study
Banking case study publishes after the first 90-day window.
We don't ship anonymous success stories. Every case study card on this page becomes a real logo, real prompts and real deltas after the customer's 90-day window closes.
Insights
Coming in the Banking visibility report.
Article · in the banking report
Hallucinated APRs are a compliance problem: a monitoring framework for banks
Notify me when publishedArticle · in the banking report
Why aggregators beat banks in AI citations (and the schema that flips it)
Notify me when publishedFAQ
Banking questions, answered.
How is CiteRank different from Policybazaar / Bankbazaar style comparison sites?+
Those surfaces optimise for their own funnel. CiteRank measures how often ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI actually name your brand for banking buyer prompts, then fixes the schema, entity and content gaps so the engines have something to cite besides the aggregator.
Which segments / cities do you cover for this vertical?+
We start with your highest-intent buyer prompts (250 tracked prompts on Platform, 500 on Platform + GEO) — segmented by city, persona and price band as relevant — and expand the prompt graph weekly. Coverage scope is set during the 5-minute onboarding.
How fast to first new citation?+
First measurable citation lift is typically 3–5 weeks after the first fix pass (schema, llms.txt, entity, content briefs). Re-runs are weekly with 95% confidence bands so you can attribute deltas to specific fixes.
Is our data sent to LLMs?+
Only the public buyer prompts we run on your behalf reach the engines — exactly what a prospective customer would type. We do not send your CRM, customer data, or internal documents to any LLM.
How to start
Start with one snapshot. Scale into weekly monitoring.
Snapshot Audit
One-time
25 prompts × 8 engines × 2 modes. Brand-mention report and gap analysis.
Monitor
Ongoing
Weekly re-runs, deltas with confidence bands, alerting on rank/citation changes.
Visibility + Fixes
Ongoing
Monitor + shipped fixes: schema, llms.txt, entity, content briefs and re-measurement.
Keep exploring