Kustodian.life - AI Visibility Report - Rivetline Consulting - AI Search Optimization and CRM Speed to Lead Optimization

Report for: kustodian.life • Report ID: AV-6A425DCB6 • June 29, 2026

AI Visibility Score

Developing

Developing AI Visibility

ChatGPT

Gemini

Perplexity

Signal Breakdown

The four signals AI answer engines use to evaluate your site.

Structured Data Signals34

Semantic Clarity50

Authority Signals52

Competitive Presence46

Where You Stand

Needs WorkDevelopingStrong

What this Score Means

Kustodian.life is a Bengaluru-based fintech startup operating in the information technology and services space, helping Indian families recover unclaimed financial assets — from EPF and pension claims to insurance settlements and share transfers. The platform's AI-powered workflows, hybrid pricing model, and track record of resolving claims for over 3,340 families and facilitating ₹32 crore in recoveries represent a genuinely compelling story. However, AI assistants like ChatGPT, Gemini, and Perplexity currently have very little structured data to work with: no schema markup was detected, service definitions are not organized in machine-readable formats, and there are no FAQ sections or comparison structures that AI systems can extract and quote with confidence. The authority signals that do exist — client outcomes, claim volumes, and expert partner networks — are not surfaced in formats that AI models prioritize when generating recommendations. The opportunity is significant: Kustodian.life operates in a niche with low AI-visible competition, and modest structural improvements to its existing content could make it the go-to source AI systems cite when someone asks how to recover dormant financial assets in India.

🔍Kustodian.life's use of React Native alongside Salesforce CRM Analytics signals a data-rich operational foundation, but none of that structured intelligence is currently exposed in ways that AI visibility systems — or the large language models families use to research financial recovery options — can access or quote.

Site Details We Found

CMS Platform

Wix

Location

Bengaluru, India

Industry

Information Technology & Services

Team Size

38 employees

Schema Types Detected

None detected -- significant opportunity

Recommended Next Steps

Add an FAQPage schema-marked section to the homepage and each service page (EPF, pension, insurance, share settlements)

target the exact questions families search when facing a claim, turning Kustodian.life's expertise into directly citable AI content

Expand each service description page with a clear entity definition block — explain what EPF dormancy means, what triggers an unclaimed insurance policy, and what the legal process for share settlement involves — so AI models can quote Kustodian.life as an authoritative source

Create a visible comparison section on the homepage or a dedicated 'How It Works' page contrasting the traditional self-filing process against Kustodian.life's AI-powered workflow, including timeline and success rate data AI systems can surface when users ask about claim resolution options

Implement structured schema markup (Organization, Service, FAQPage, and Review schema) across the site to give AI assistants the structured signals needed to understand and recommend Kustodian.life in response to relevant queries

Add an llms.txt file to the site root as a low-effort optional step — it won't influence Google rankings, but it can help certain AI assistants quickly parse Kustodian.life's brand identity, core services, and key terminology when building responses

Top Opportunities

→Add structured FAQ content addressing high-intent queries like 'how to claim unclaimed EPF' or 'what happens to dormant bank accounts in India' so AI assistants can extract and cite Kustodian.life directly

→Build a comparison table or chart contrasting DIY claims resolution versus Kustodian.life's assisted approach, giving AI models a quotable reference when users ask about their options

→Define key service entities clearly on each service page — EPF claims, pension settlements, insurance recovery, share transfers — with plain-language definitions that AI systems can parse and attribute

→Implement Organization, Service, and FAQPage schema markup across the site to give AI crawlers structured signals about what Kustodian.life does, who it serves, and what outcomes it delivers

→Surface client testimonials and outcome statistics (3,340 families, ₹32 crore recovered) in structured, prominent formats that AI systems recognize as credibility signals and are likely to reference in generated responses

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