How do I track my bank's brand in ChatGPT?

Add your brand and the prompts your customers ask, from "best current account" to questions about your own products. LLM Pulse runs them weekly and records every mention with its position and sentiment.

Can we see the exact answers AI gives about our rates and products?

Yes. Every response is stored in full, so you can read the exact wording, compare it across models, and flag claims about rates or coverage that are out of date.

Does LLM Pulse keep a history our compliance team can review?

Yes. Weekly answers build a dated archive you can export, query over the API, or feed into Looker Studio and Power BI. Your team decides how it fits your review process.

How do we monitor questions like "is this insurer safe"?

Add trust prompts to your project and follow their sentiment separately with tags. Reputation analysis summarizes how AI frames the strengths and risks of your brand.

Which sources do AI models cite for financial questions?

Citation sources analysis lists every URL cited on your prompts. For finance that is typically comparison sites, news coverage and official product pages, ranked by frequency.

Which AI models are covered, and how often do prompts run?

Every plan tracks ChatGPT, Perplexity, Gemini, Google AI Overviews and Google AI Mode weekly, and Enterprise extends coverage to 14 models. 50 prompts equals more than 1,000 AI evaluations every month.

How much does it cost?

Plans start at EUR 49 per month with a 14-day free trial.

For Financial Services & Insurance

What AI says about your financial brand matters

Customers ask AI which bank to trust and which policy to buy. Track those answers weekly across 5 models, monitor sentiment, and keep a dated archive of every claim AI makes about your products.

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What AI told savers and policyholders, on record

Views built for banks, insurers and fintechs that treat a misquoted rate as a compliance matter.

Answer Archive

When a model misquotes your rate, prove it

A prospect who reads a wrong APR in an AI answer never calls to double-check. Each weekly run stores the full response with your brand highlighted, so a claim about fees, rates or coverage arrives with its exact wording, model and date. Compliance reviews evidence rather than a customer's screenshot.

Exact wording on rates, fees and coverage
Dated per model, ready for review
Escalations backed by the archived answer

Explore LLM Responses

When a model misquotes your rate, prove it

Share of Voice

Who wins "best savings account" this week

Comparison prompts decide where deposits and policies go, and incumbents, challengers and comparison sites all compete for the same answer. Your share sits against every provider you track, refreshed weekly instead of at the pace of a quarterly brand study. When a challenger gains, the cited domains below show whether a comparison site or a news story is doing the work.

Share per bank, insurer and fintech tracked
Weekly reads between quarterly brand studies
Comparison sites driving each rival's gains

Explore Share of Voice

Who wins "best savings account" this week

BI Reporting

AI visibility in the decks your committees read

Risk and marketing committees do not log into new tools. The Looker Studio connector feeds the same weekly numbers into the dashboards they already review, with Power BI and the API covering the rest of your reporting stack. When someone asks where a figure came from, the dated archive answers.

Weekly numbers straight into committee dashboards
Looker Studio, Power BI and API access
Every figure traceable to a dated answer

Explore the Looker Studio Connector

AI visibility in the decks your committees read

Why Financial Brands Choose LLM Pulse

High-stakes financial questions now go to AI first, and the answers decide who earns trust.

Win Product Comparison Prompts

Track prompts like "best savings account" or "cheapest home insurance" weekly and see which providers AI names first.

Monitor Trust and Safety Queries

Prospects ask AI whether a provider is safe before they sign up. See exactly how those answers describe you.

Keep Every Answer on Record

Full answer text is stored with each weekly run, so your team can review what AI claimed about rates and products, and when.

Spot Wrong Rate and Product Claims

Read the exact wording AI uses about your fees and coverage, and trace each claim to the source it cites.

Benchmark Against Banks and Fintechs

Share of voice shows whether AI recommends you, an incumbent or a challenger on the prompts that matter.

Track Sentiment Over Time

A sentiment score on every mention shows how the tone about your brand moves, week by week.

How It Works

A sober, repeatable process for a regulated industry.

1

Map your product and trust prompts

Add comparison prompts for each product line plus the trust questions prospects ask. Prompt research finds the ones you missed.
2

Track answers weekly across 5 AI models

Each run stores the full answer text, mention positions and a sentiment score per mention.
3

Review claims and sources

Compare what each model says about your rates and products with what is true, and trace wrong claims to the cited pages.
4

Correct the record

Update your own pages, direct outreach at third-party sources, and confirm the change in the next weekly run.

Built for Financial Use Cases

Where financial services teams put LLM Pulse to work.

Banks and challengers

Track "best bank for" prompts across your markets and see who AI names first.

Insurers

Monitor policy comparison prompts and how AI describes your coverage and claims process.

Fintech apps

See whether AI recommends your app on category prompts and which reviews it cites.

Lending and credit

Follow how AI answers rate and eligibility questions where an outdated number costs applications.

"After noticing rising visits from various LLMs in GA4, we needed visibility into those black boxes. LLM Pulse gave us the clarity to understand our brand's evolution and shape new strategies to boost our exposure."

Victor Hernández

Casa Batlló

Frequently Asked Questions

Common questions from banking, fintech and insurance teams.

: Add your brand and the prompts your customers ask, from "best current account" to questions about your own products. LLM Pulse runs them weekly and records every mention with its position and sentiment.
: Yes. Every response is stored in full, so you can read the exact wording, compare it across models, and flag claims about rates or coverage that are out of date.
: Yes. Weekly answers build a dated archive you can export, query over the API, or feed into Looker Studio and Power BI. Your team decides how it fits your review process.
: Add trust prompts to your project and follow their sentiment separately with tags. Reputation analysis summarizes how AI frames the strengths and risks of your brand.
: Citation sources analysis lists every URL cited on your prompts. For finance that is typically comparison sites, news coverage and official product pages, ranked by frequency.
: Every plan tracks ChatGPT, Perplexity, Gemini, Google AI Overviews and Google AI Mode weekly, and Enterprise extends coverage to 14 models. 50 prompts equals more than 1,000 AI evaluations every month.
: Plans start at EUR 49 per month with a 14-day free trial.