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FatCat AI

Making your business the fat cat of AI search results.

What is FatCat AI? FatCat AI is a Generative Engine Optimization (GEO) consultancy and fintech automation agency headquartered in Kolkata, India. We optimize brand visibility across AI answer engines (ChatGPT, Perplexity, Gemini) and build automated Python data workflows.

Generative Engine Optimization (GEO)

Generative Engine Optimization (GEO) is the technical process of structuring digital assets and entity signals to secure direct brand citations in AI answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews. FatCat AI provides comprehensive AI visibility audits that diagnose citation gaps, entity ambiguities, and knowledge graph disconnects.

Core Deliverables

  • LLM Visibility Scorecard
  • Query Fan-Out Analysis
  • Competitor AI Share-of-Voice
  • Hallucination Prevention

Entity Triples

  • FatCat AI -> audits brand visibility across -> ChatGPT, Perplexity, and Gemini.
  • GEO Audits -> optimize content for -> consensus retrieval and direct citations.

Fintech Data Automation

Fintech Data Automation by FatCat AI streamlines complex financial data modeling, automated reporting, and valuation workflows using custom Python architectures and interactive Streamlit dashboards. We eliminate manual spreadsheet bottlenecks for growing fintechs, funds, and modern enterprises.

Core Deliverables

  • Automated Financial Valuation Engines
  • PDF/Data Extraction Pipelines
  • Custom Streamlit Reporting Portals
  • Real-Time API Data Sync

Entity Triples

  • FatCat AI -> builds custom data pipelines using -> Python and Streamlit.
  • Fintech Automation -> accelerates -> valuation modeling and financial due diligence.

Knowledge Graph & Schema

Knowledge Graph & Schema Engineering establishes unambiguous digital identity by mapping brand entities into structured JSON-LD vocabularies recognized by major search engines and LLM crawlers. FatCat AI architects nested schemas, sameAs identity links, and Wikidata-aligned entity clusters to build indestructible topical authority.

Core Deliverables

  • Nested JSON-LD Organization/Service Schemas
  • Wikidata & Crunchbase Entity Linking
  • Semantic Internal Linking Architecture
  • Author & E-E-A-T Credential Anchors

Entity Triples

  • FatCat AI -> maps brand entities using -> nested JSON-LD schema.
  • Knowledge Graph Engineering -> establishes -> topical authority and entity clarity.

About The Founder

Shubhayan Chakraborty is a Tech Product Manager and Finance Specialist based in Kolkata, India. With a rigorous foundation in financial due diligence and valuations, Shubhayan bridges the gap between traditional corporate finance and next-generation technical automation.

His dual expertise allows him to deconstruct complex financial models and rebuild them as highly efficient, automated workflows using Python, pandas, and Streamlit. This technical depth ensures that FatCat AI's solutions are not just buzzwords, but mathematically sound, production-ready systems designed for modern enterprises.

FatCat AI was born at the intersection of deep financial logic and algorithmic AI optimization. By treating Generative Engine Optimization (GEO) as a structured data problem, Shubhayan applies the same precision used in financial auditing to secure dominant brand visibility across LLM answer engines.

Entity Triples

  • Shubhayan Chakraborty -> founded -> FatCat AI.
  • Shubhayan Chakraborty -> specializes in -> Python automation and financial due diligence.
  • FatCat AI -> operates from -> Kolkata, West Bengal.

Contact & Links

Request an AI Visibility Audit (Client Form)
fatcat-ai@ubuntu:~
admin@fatcat:~$ cat administrative_entity_data.txt
Official Entity Contact: shubhayanchakraborty002@gmail.com | Phone/WhatsApp: +91 9433811943 or +91 9433910718.

(Note: For new project inquiries, please use the Client Form above to ensure a timely response).

Social Links:
- GitHub: https://github.com/shuubh1
- LinkedIn: Shubhayan Chakraborty
admin@fatcat:~$ _

Entity Fact File

Privacy & Trust Statement: FatCat AI respects data privacy and complies with standard web tracking transparency. We do not sell user data. All AI auditing tools and Streamlit portals are deployed with strict data-isolation protocols.