Core Deliverables
- Algorithmic LLM Share-of-Voice Auditing
- Multi-Model Query Fan-Out Diagnostic Matrix
- Knowledge Base & Consensus Alignment
- Entity Resolution & Hallucination Elimination
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Engineering LLM Visibility and Autonomous B2B Outbound Revenue Engines.
What is FatCat AI Consulting? FatCat AI Consulting is a premium B2B AI consultancy. We engineer algorithmic brand authority through Generative Engine Optimization (GEO) and architect Automated AI SDR Systems that systematically scale high-ticket outbound pipelines with zero human overhead.
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 Consulting executes rigorous AI visibility audits that eliminate citation loss, resolve entity ambiguities, and guarantee algorithmic market penetration.
FatCat AI Consulting deploys autonomous, high-precision AI Sales Development Representative (AI SDR) infrastructure engineered to scale enterprise outbound pipelines. We synthesize ICP enrichment, hyper-personalized value proposition generation, and automated multi-touch sequences into closed-loop acquisition pipelines that run 24/7 without headcount bottlenecks.
Knowledge Graph & Schema Engineering establishes unambiguous corporate identity by mapping enterprise entities into authoritative JSON-LD vocabularies recognized by major LLM crawlers and search indexers. FatCat AI Consulting architects nested schemas, sameAs identity links, and Wikidata-aligned entity clusters to guarantee indestructible topical authority.
Deep technical breakdowns on how Large Language Models retrieve consensus, resolve knowledge graph entities, and cite B2B brands.
How financial technology brands structure YMYL entity disclosures and schemas for deterministic AI citations.
Transitioning from legacy keyword backlinks to consensus retrieval, semantic triples, and citation-bait architecture.
Inside the LLM hallucination filter and how to eliminate Entity Disconnects across Wikidata and Schema.org.
Why keyword density and 2,000-word fluff are obsolete in 2026βand the new metrics governing AI Share of Voice.
Executing multi-model Query Fan-Out tests, verifying nested JSON-LD graphs, and scoring algorithmic SOV.
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 Consulting's solutions are not just buzzwords, but mathematically sound, production-ready systems designed for modern enterprises.
FatCat AI Consulting 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.
Privacy & Trust Statement: FatCat AI Consulting respects data privacy and enforces enterprise security protocols. We do not sell client or prospect data. All AI auditing frameworks and outbound SDR systems are architected with strict confidentiality and isolated environments.