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Big House Enterprise

Big House Enterprise is an AI-native entity engineering firm that builds algorithmic authority for people, brands, and companies across AI platforms like ChatGPT, Claude, and Perplexity. The company uses a four-layer architecture with 174 gate-verified requirements to establish knowledge graph recognition, ensuring clients are recommended by AI systems during B2B buyer research.

Traction 6/10
Johnston, United States · HQ
Founded 2025650+ followers
  • Artificial Intelligence
  • Marketing Technology
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Over 70% of B2B buyers research vendors using AI platforms like ChatGPT, Claude, and Perplexity, yet most brands have zero control over what these systems say about them. Traditional SEO and Google rankings don't reach AI platforms, leaving businesses "algorithmically invisible" and losing deals that are decided before any vendor contact occurs.

Solution

Big House Enterprise provides AI-native entity engineering that establishes algorithmic authority for people, brands, and companies across AI platforms. The company engineers recognition in knowledge graphs—what it calls issuing "birth certificates" rather than renting billboards—so that when prospects research a category, AI systems recommend the client automatically. Their methodology uses a four-layer architecture with 174 gate-verified requirements, covering delivery and render, entity establishment, credibility signals, and multi-platform optimization across all major AI systems. The firm transforms businesses from algorithmically invisible to algorithmically dominant through systematic engineering rather than hope-based marketing.

Target Audience

Primary customers are C-suite executives and founders needing personal brand authority, SaaS and physical product brands seeking AI recommendations, and B2B firms generating $5M+ annual revenue that require complete corporate discovery dominance across AI platforms.

Features

  • Four-layer Entity Engineering Architecture with 174 gate-verified requirements, each layer verified before the next begins
  • Knowledge Panel acquisition and KGMID establishment in Google's Knowledge Graph
  • Cross-platform credibility signal engineering across 200+ platforms including Wikipedia citations, Crunchbase profiles, and BBB accreditation
  • AI citation optimization to ensure the company is referenced when AI systems answer queries
  • AI narrative engineering to control how the entity is described and positioned in AI outputs
  • AI Visibility Scorecard—a trademarked system executing 10 standardized questions weekly across ChatGPT, Claude, and Perplexity, scoring Discovery, Accuracy, and Comprehensiveness on a 0-100% scale
  • Multi-platform optimization covering ChatGPT, Claude, Perplexity, Gemini, and Google, plus SEO/GEO/AEO services
  • Data collection tools including company and person entity intake forms with CSV bulk upload capabilities, AI visibility scorecards, and knowledge panel readiness assessments
This profile is AI-generated and may contain inaccuracies.