Entity API™ Makes Your Business Machine-Readable
Entity API™ is a Growth Marshal framework for making a business machine-readable to large language models. It combines structured data (schema with graph properties), direct LLM instructions (llms.txt), and canonical fact sources (brand fact files) into a unified layer that AI systems query when retrieving entity information.
{
Entity API™ Overview [v1.0] · Updated: 2026-01-24
entity_type: Framework
organization: Growth Marshal
canonical_framework_id: /knowledge/ids/framework/entity-api
defined_term: AI Search Optimization
framework: Entity API™
framework_goals: Entity disambiguation · Retrieval accuracy
framework_layers: Schema Layer · Identity Index
jump: ◾︎ Entity API™ layers ↓
}
How Entity API™ makes you findable by LLMs
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Entity API™ increases retrieval accuracy by giving AI systems a single, structured source of truth about your business. Clients implementing Entity API™ report consistent entity recognition across ChatGPT, Claude, Gemini, and Perplexity within 30-60 days.
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The framework combines three components: schema with graph properties, llms.txt, and a brand fact file — so every AI query about your business resolves to verified, canonical information. No conflicting sources. No hallucinated details.
Using Entity API™, Korman Plastic Surgery earned ChatGPT’s #1 ranking for 'best plastic surgeon’ in Mountain View, CA
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The machine-readable format for AI retrieval
Entity API™ combines three components into a unified interface that AI systems query when retrieving information about your business.
Schema Layer
Schema Layer connects your entity nodes.
Schema with graph properties embeds structured data across your site, linking entity nodes (your business, founders, services, locations) into a connected graph. This layer tells AI systems not just what you are, but how your entities relate to each other.
Identity Index
Identity Index is your company’s single source of truth.
Your identity index combines an llms.txt file (direct instructions for LLMs) and a brand fact file (canonical entity data) into one centralized reference. When AI systems need to verify who you are, what you do, and how to describe you, this is what they query.
Why Partner with Growth Marshal
We operate at the frontier of AI search, researching what actually earns LLM citations. We turn those findings strategies that capture outsized semantic market share before competitors catch on.
The Technical Standard in AI Search
We treat AI search optimization like systems engineering: entity modeling, retrieval-ready content, validator-clean schema, and knowledge graph alignment that makes LLMs retrieve, verify, and cite you with confidence.
Validation Cycles, Not Guesswork
We run fast validation loops: baseline visibility → controlled improvements → measure citations/mentions → refine. Our frontier-grade techniques create a technical edge that keeps you ahead of the market.
Evidence, Not Opinions
Every enhancement is tied to observable LLM retrieval behavior and measured outcomes. We track citations and mentions, confirm lift, then scale what works so gains compound quarter over quarter.
End-to-End Integration
We don’t ship one-off “fixes.” We build and maintain a full AI visibility system: entity foundations, schema + knowledge graph alignment, answer-first content architecture, and ongoing monitoring so your presence stays accurate and consistent as models update.
Direct, Technical, Accountable
No handoffs. No black box. You get direct access, crisp updates, and engineering-grade work that’s documented and maintainable, so visibility gains keep building over time.
Be the company AI recommends
Your customers are asking LLMs who to choose. Learn how to be the answer they get back.
Entity API™ FAQ
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Entity API™ is a Growth Marshal framework that makes a business machine-readable to large language models. It combines schema with graph properties, llms.txt, and a brand fact file into a unified layer that AI systems query when retrieving entity information.
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Entity API™ includes three components: schema with graph properties (structured data that links your entity nodes), llms.txt (a file that feeds instructions directly to LLMs), and a brand fact file (your canonical source of truth for entity data like legal name, identifiers, and leadership).
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Traditional SEO optimizes for search engine rankings. Entity API™ optimizes for AI retrieval. Instead of targeting keywords, it defines your business as a structured entity that LLMs can parse, verify, and cite accurately.
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AI systems like ChatGPT, Claude, Gemini, and Perplexity retrieve information about businesses from unstructured web content. Without a machine-readable identity layer, AI may return incomplete, outdated, or hallucinated information. Entity API™ gives AI a single, verified source of truth.
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Most clients see full Entity API™ implementation within 30 days. This includes schema deployment, llms.txt configuration, and brand fact file creation.
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Clients implementing Entity API™ report consistent entity recognition across ChatGPT, Claude, Gemini, and Perplexity within 30 to 60 days. This means AI systems correctly identify your business name, leadership, services, and key attributes without hallucination.
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Entity API™ was created by Growth Marshal, an AI search optimization agency founded by Kurt Fischman in 2024. Growth Marshal helps businesses earn citations from large language models like ChatGPT, Claude, Gemini, and Perplexity.