What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

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Finsky Technologies Private Limited (Multibagg AI)

Visibility18

Vibe92

Businesses/Financial Services / Fintech/Finsky Technologies Private Limited (Multibagg AI)

AI Visibility & Sentiment

Finsky Technologies Private Limited (Multibagg AI)

Multibagg AI is an AI-native equity research and portfolio intelligence platform designed for the Indian stock market. It leverages Large Language Models to automate the analysis of corporate filings and documents, providing retail investors with institutional-grade insights.

Active Monitoring

multibagg.ai

Financial Services / Fintech

AI Visibility Score

18/100

Invisible

Sentiment Score

92/100

Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Finsky Technologies Private Limited (Multibagg AI) today.

Multibagg AI remains largely absent from the AI-driven research landscape, missing critical opportunities where data-driven retail investors are actively seeking modern alternatives to legacy tools. While the brand holds strong recognition in direct brand queries, it fails to capture the intent of users exploring automated stock research and portfolio intelligence platforms where competitors like Screener.in and TickerTape dominate.

Working in your favor

High brand recall in direct 'vibe check' queries across ChatGPT, Claude, and Gemini

Presence in Google AI Overviews for competitive benchmarking against legacy tools like Screener.in

Positive sentiment among the data-driven retail investor persona when identified

Gaps to close

Near-zero visibility in core intent categories like 'AI-powered equity research' and 'portfolio risk management'

Complete exclusion from the evaluation process for the professional portfolio manager and analytical retail investor personas

Total absence from LLM-native search responses, ceding the conversation to established market incumbents

Opportunities

Optimize content to align with 'modern alternative' triggers that currently drive users away from manual tools

Establish authoritative content footprints addressing specific pain points in automated stock screening and broker-integrated research

Capitalize on the under-served needs of the analytical retail investor by positioning Multibagg AI as a sophisticated, AI-first successor to manual screening platforms

Highest-Impact Actions

Develop and syndicate high-authority, comparison-led content targeting 'Screener.in alternatives' and 'modern AI stock screening' keywords.

Direct data shows users are actively searching for modern alternatives; positioning Multibagg AI as the logical upgrade will capture high-intent traffic.

Implement a semantic SEO and structured data strategy focused on the specific use cases of 'automated stock research summaries' and 'broker-integrated portfolio intelligence'.

The brand is missing from the core query set; signaling these capabilities to LLMs via schema and descriptive technical content will increase indexing for functional queries.

Produce deep-dive 'white papers' or 'analytical guides' that appeal to the professional portfolio manager persona.

The brand currently captures zero interest from professional users; specialized, data-heavy content is required to move the needle with this sophisticated segment.

Value Proposition

Institutional-grade research for the retail investor, providing AI-native thematic discovery and real-time document analysis that translates complex financial filings into actionable intelligence.

Overview

Mission

To empower retail investors with cutting-edge technology and actionable information, bridging the gap between individual investors and qualified institutional experts.

Products & Services

Iris (Conversational AI research assistant)Discovery (AI-powered thematic engine)Timeline (Real-time curated feed of corporate developments)Portfolio Intelligence (Broker-connected dashboard for risk analysis)Multi-Market Screeners (Advanced filtering for stocks, IPOs, ETFs, and Indices)

Current State

Visibility Landscape

A high-level view of how Finsky Technologies Private Limited (Multibagg AI) performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
Core6q Product/service category queries	0	0	0	40
Growth Areas2q Adjacent, aspirational & visionary	0	0	0	0

Competitive Landscape

Screener.in19 mentions

TradingView19 mentions

Koyfin18 mentions

FactSet17 mentions

Seeking Alpha17 mentions

AlphaSense16 mentions

TickerTape15 mentions

Trendlyne14 mentions

Stock Rover14 mentions

Yahoo Finance13 mentions

Finsky Technologies Private Limited (Multibagg AI)2 mentions

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Finsky Technologies Private Limited (Multibagg AI)'s AI visibility.

Key Findings

Strength

High brand recall in direct 'vibe check' queries across ChatGPT, Claude, and Gemini

Strength

Presence in Google AI Overviews for competitive benchmarking against legacy tools like Screener.in

Strength

Positive sentiment among the data-driven retail investor persona when identified

Recommended Actions

Develop and syndicate high-authority, comparison-led content targeting 'Screener.in alternatives' and 'modern AI stock screening' keywords.

Direct data shows users are actively searching for modern alternatives; positioning Multibagg AI as the logical upgrade will capture high-intent traffic.

Implement a semantic SEO and structured data strategy focused on the specific use cases of 'automated stock research summaries' and 'broker-integrated portfolio intelligence'.

The brand is missing from the core query set; signaling these capabilities to LLMs via schema and descriptive technical content will increase indexing for functional queries.

Produce deep-dive 'white papers' or 'analytical guides' that appeal to the professional portfolio manager persona.

The brand currently captures zero interest from professional users; specialized, data-heavy content is required to move the needle with this sophisticated segment.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

AI Powered Equity Research & Analysis(3 queries)

“what are the best ai tools to read through company annual reports and filings for indian stocks”

0/4 platforms mentioned

Core

ChatGPT

1.Perplexity

2.Tijori Finance

3.Trendlyne

4.Screener

5.Pinecone

+3 more

Claude

1.AlphaSense

2.Screener.in

3.Investar

4.TickerTape

Gemini

1.Stockinsights.ai

2.Hebbia

3.Fintool

4.AlphaSense

5.Screener AI

+4 more

AI Overviews

1.AlphaSense

2.Hebbia

3.FinChat.io

“recommend platforms that offer automated stock research summaries like having an analyst in your pocket”

0/4 platforms mentioned

Core

The Data-Driven Retail Investor · Independent Retail Investor

ChatGPT

1.Benzinga Pro

2.Finchat

3.Seeking Alpha

4.Koyfin

5.AlphaSense

+8 more

Claude

1.Fiscal.ai

2.Scrab

3.Incite AI

4.Stockopedia (StockReports)

5.Stock Rover

+5 more

Gemini

1.Seeking Alpha

2.Zacks Investment Research

3.CFRA Research

4.TD Ameritrade

5.Schwab

+2 more

AI Overviews

1.Seeking Alpha

2.AlphaSense

3.Finzer

4.Fiscal.ai (FinChat.io)

5.Magnifi

+4 more

“need an app that helps me screen stocks based on specific financial themes instead of just simple filters”

0/4 platforms mentioned

Adjacent

The Data-Driven Retail Investor · Independent Retail Investor

ChatGPT

1.Koyfin

2.Finviz

3.TrendSpider

4.TradingView (TradingView Screener)

5.Stock Rover

+6 more

Claude

1.Charles Schwab Investing Themes

2.FutureSearch.ai

3.MarketScreener

4.Zacks (Zacks Thematic Screens)

5.TradingView

+1 more

Gemini

1.MarketScreener

2.Zacks (Zacks Thematic Investment Screens)

3.Charles Schwab (Charles Schwab Investing Themes)

4.Fidelity

5.TIKR

+2 more

AI Overviews

1.Charles Schwab (Schwab Investing Themes)

2.Zacks Thematic Screens

3.Prospero.ai

4.Deepvue

5.Interactive Brokers (IBKR Mobile)

+2 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Best AI for Reading 10-K Annual Reports (2026) | AIToolHub

getaitoolhub.com

Finsky Technologies Private Limited (Multibagg AI)

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Financial Services / Fintech

Start gettingrecommended by AI.

Frequently asked questions

Finsky Technologies Private Limited (Multibagg AI)

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Financial Services / Fintech

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.