Site index for AI agents: /llms.txt. Documentation pages under /docs are also served as markdown at the same URL plus .md (e.g. /docs/geo-audit.md) or via an Accept: text/markdown request.

Fintech & Financial Services

Be the fintech AI trusts

Q: We already rank on Google. Why do we need this?

Ranking and being cited are different. One broking app we track is named in about half of unbranded answers, yet its own site supplies 1.7% of the citations behind them. Engines quote rivals' help pages, comparison sites and regulators instead.

Q: Regulator and exchange pages dominate money questions. How do we compete with them?

You do not replace them; you sit beside them. Engines cite the regulator for the rule and a provider for how it works in practice. A clear page that states the rule, links the source and shows your process is the one they pair with it.

Q: Can you stop AI from getting our fees wrong?

No one controls what an engine writes. We track the answers daily, per engine, and give engines one accurate, dated, machine-readable record of your fees and terms to quote. When an answer drifts, you see it and we fix the source page it came from.

Q: Our main domain blocks AI crawlers for security. Is that a problem?

It can stay blocked. Engines then learn about you from pages they can read: newsroom, help centre, investor education, third-party explainers and community threads. We start on the surfaces you already control and open more only if your security team agrees.

People ask ChatGPT, Gemini and Google AI which app to trust with their money. We make your fees, rates and safety facts the pages those answers quote.

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On the call we run your buyers’ questions live and you keep the list.

PerplexityBuyer question

Which app is best for applying to IPOs online in India?

Your brand lets you apply for IPOs through UPI in a few steps and shows each issue's dates, lot size and allotment status on one page. 1 It charges no fee to apply. Check the lot size and the regulator's investor guidance before you bid.23

1yourdomain.com/ipo/[ipo-name]
2yourdomain.com/help/how-to-apply-for-an-ipo
3The regulator's investor education page

Named: Yes Yes, first in the answer
Cited: Yes Your IPO page, source 1 of 3

AI names you. It quotes someone else's page.

49.5%of unbranded trading answers name one Indian broking app we track10 prompts x 4 engines, 1,040 answers, 2026-08-31 to 2026-09-27, one broking app

1.7%of the citations behind those answers come from its own site13,149 citations, 4 engines, 2026-08-30 to 2026-09-28, same broking app

The questions your buyers ask.

Grouped the way buyers ask them. A filled dot means the answer usually names the brand being asked about today.

Category and best

The shortlist question. Engines answer it from rival firms' pages and comparison sites.

Best [product] app in India in 2026
Top platforms for [futures and options] trading for beginners
Best investment platform for long-term wealth creation

High intent and purchase

The customer is ready to open an account, pay or apply. The page cited here wins the install.

Which trading app has zero brokerage on [product]
Best app to pay [bill type] with cashback
How to apply for [IPO name] online
Cheapest way to [send money / recharge] online

Brand and trust

Asked by name, AI usually knows you. The risk is which page it quotes on safety and fees.

Is [brand] safe to link my bank account to
[brand] charges and hidden fees
[brand] vs [rival] which is better for daily use

Research and how it works

Rules and explainers. Regulator and exchange pages answer these unless your explainer is clearer.

What happens if a payment fails but money is debited
Daily transaction limit for [payment method] in India
How are [model portfolio] returns calculated
Benefits of invoice factoring for small exporters

Where AI finds its answers.

Other financial firms' sites38.6%

Other sites (global finance publishers, social, misc.)17.6%

Blogs and guides11.1%

Government and regulator9.1%

Review, comparison and app stores7.7%

News and media6.4%

Brand's own site3.4%

Citation sightings from 2026-08-30 to 2026-09-29 across three fintech brands AirPulse tracks on ChatGPT, Perplexity, Gemini and Google AI Overviews (a payments app, a stock broker and an investing platform; 45,241 sightings), each brand weighted equally. Government and regulator ranged from 4.6% (payments) to 15.5% (investing). Pooled across six fintech brands (45,525 sightings) it was 6.4%. Regulator includes central bank, securities regulator, exchanges and the payments network operator.

What the machines see.

Usually fineAccessWe check that every AI crawler can fetch your pages without a bot challenge. Most brokers and investing apps allow them; large group domains often block them, which leaves engines to quote third parties.
Usually brokenContentWe read your pages the way a crawler does, without JavaScript. In one investing platform audit, 576 portfolio pages showed crawlers about 122 words and no title tag.
Usually brokenStructured dataWe check that fees, rates, limits and FAQs sit in plain text with valid schema. In fintech they often live in images, PDFs or pricing widgets no engine can parse.
Usually brokenIdentityWe check that engines know which entity you are: Organization schema, registration details and one canonical page per product. Brand citations often land on a sister product or a foreign-market page.

How we get you named.

Week 11PlumbingCrawler access, rendering, schema and an llms.txt, verified live on every engine. Nothing counts until we see engines fetch it.
Week 22The question listBuilt from what engines search when your customers ask about fees, safety, limits and which app to use, plus what your support desk and Search Console hear.
Week 23Pick the first ringYou choose one group of questions to win first, scored on demand, reachability and how often regulators and rivals hold the answer today.
Weeks 3 to 64Build and verifyFact pages, explainers and structured FAQs for that ring, each cleared by your compliance reviewer and verified live before it counts.
Days 30, 45 and 605Measure against controlsRetrieval on day 30, first citations on day 45, a verdict on day 60 against control questions we never touch. Published either way.

Proof the method works.

Newton School51.4% to 93.3%Google AI mention rate, Google AIMay 20, 2026 to Jun 10, 2026Read the case study

The two fintech studies are measurement records, not growth results: a broking app steady at about half of answers, and an investing platform whose drop traced to one engine's data. Both slugs come from the anonymised study files and are not yet in brand-studies.ts. Newton School (51.4% to 93.3% Google AI mention rate, 2026-05-20 to 2026-06-10) shows the method; BytePe shows the client-rendered page fix that fintech catalogues need.

We do the work. You approve three things.

AirPulse agents and strategists

Track what each engine says about your fees, safety and products, every day, per engine
Draft fact pages, explainers and schema for the chosen questions, written to pass compliance review
Verify every change live and report results against control questions

Your team

1Topic
2Content
3Publish

Fintech & Financial Services, by segment

Payments Platforms Lending & Credit WealthTech & Investing

Questions teams ask first.

Compliance reviews every word we publish. Can this still work?

Yes. Compliance approval is built into the content step. We draft from your published terms, rates and regulator filings, your reviewer signs off, and nothing ships without it. Plain, sourced fact pages tend to clear review faster than marketing copy.

We already rank on Google. Why do we need this?

Regulator and exchange pages dominate money questions. How do we compete with them?

Can you stop AI from getting our fees wrong?

Our main domain blocks AI crawlers for security. Is that a problem?

Be the page AI quotes on your own product

Approve the process. We pick the first ring of questions together in week two.

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