In AI Search, trust isn’t random. It’s forged.

Build an unbreakable foundation of authority

Trust Stack™ combines every critical trust signal into a single system that positions your brand as the verified source AI systems choose to trust.

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DEEP TECH EXPERIENCE | 15+ YEAR TRACK RECORD | AI EXPERTISE

One seamless trust blueprint built for answer engines

We create and deploy the digital trust assets your company needs to attract AI retrievers, in one unified system.

Structured Data Buildout

Blueprint your site for machine understanding.

Give AI crawlers a precise map of your brand's credibility by embedding structured data across your entire digital footprint. Amplify visibility in rich results and knowledge panels, ensuring your content gets cited and chosen over competitors.

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Knowledge Graph Optimization

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Plant your flag in AI’s go-to source for truth.

Plant your brand inside AI’s structured understanding of the world by claiming and optimizing your Knowledge Graph presence. Establish a durable entity identity that AI retrievers instantly recognize and trust.

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Entity Verification

Link your real-world identity to your digital presence.

We verify the human entities behind your company and content, such as founders, executives, and contributors, so AI systems see trusted, credible sources. Verified identities are prioritized in retrieval, boosting authority and citation.

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Identity Hub

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Stop AI from guessing your brand’s offerings and story.

We build your machine-readable identity, complete with a Brand Fact File, Canonical IDs, and an llms.txt endpoint, so LLMs see one authoritative truth about who you are, what you do, and why you matter. This is Layer 0 of Trust Stack™.

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Trust signals that don’t just help, they compound

Trust Stack™ is a compounding visibility process that positions your company as the source that ChatGPT cites, Claude highlights, and buyers turn to for authoritative answers.

A Single Source of Truth for AI Models

Canonical IDs, consistent vocabularies, and change control is the secret to helping AI reliably attribute citations to your brand.

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Strengthen Your Citation Credibility

By layering authoritative signals, Trust Stack™ increases the likelihood that AI models will select and recognize your content as a trusted source.

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Safeguard Against Costly Hallucinations

When AI models attribute your content as a trusted source, buyers arrive pre-sold on your expertise.

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Enhance Long-Term Visibility

Trust Stack™ creates a durable foundation of trust signals that compound over time, helping your brand stay resilient as AI search evolves.

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Partner with Growth Marshal

Companies hire us because we operate at the frontier of AI Search and help our partners leapfrog into an unfair advantage.

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AI-Native Search Masters

We don’t just optimize for Google. We engineer your brand into the very fabric of LLM retrieval. From knowledge graph tuning to zero-click authority, we make sure AI cites you, not your competitors.

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AI-First, Results-Obsessed

You move at AI speed; so do we. Our entire system is built for compounding returns that include quick wins today and scalable gains tomorrow, without the bloat of legacy agency processes.

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Data-Backed, Always

Every recommendation is rooted in proprietary research, real-world embedding tests, and hard performance data. You’ll see exactly which signals move the needle and we’ll double-down on the ones that do.

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Full-Spectrum Service Suite

From prompt surface engineering to hallucination monitoring, we cover the entire AI Search Optimization lifecycle. No handoffs between siloed groups; just one integrated team driving your discovery and citation.

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High-Octane Partnership

We speak growth fluently: sharp insights, zero fluff, and a relentless drive to turn your company into a lead-generation machine. Expect candid feedback, rapid pivots, and messaging that cuts through the noise.

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MAX OUT VISIBILITY WHERE
YOUR AUDIENCE IS ACTUALLY SEARCHING

Optimize for AI Search and drive more revenue, faster.

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Trust Stack™ FAQs

  • Trust Stack™ embeds your brand into the retrieval layer by unifying structured data, verified authorship, and third-party validation—signals modern LLMs and search engines prefer when selecting trustworthy sources.

  • Growth Marshal delivers a single system that includes Structured Data Buildout, Knowledge Graph Optimization, Author & Entity Verification, and Identity Hub, so your brand presents one canonical truth across the semantic web.

  • AI algorithms prioritize verifiable signals—structured data, linked entities, and authoritative citations—over keyword volume; unverifiable content is filtered out automatically.

  • You can earn visibility in featured snippets, knowledge panels, and LLM answers, drive higher click-through from credibility signals, stay resilient through algorithm/model shifts, and shorten sales cycles with lower CAC.

  • Traditional SEO focuses on content and backlinks; Trust Stack™ goes deeper by aligning entities and provenance (schema, knowledge graph, verification, third-party credibility) so your brand gets retrieved, cited, and trusted.

  • It’s built for any business looking to boost visibility in LLMs and convert AI-native exposure into traffic, leads, and revenue.

  • It’s the foundation that codifies your domain entities, claims registry, IDs, provenance, and change controls so LLMs see one canonical, versioned source of truth.

Terminology

A reference guide to our funky nomenclature and proprietary frameworks.

  • AI-Native Search is a search paradigm where large language models and answer engines assemble answers and cite sources, not just rank links.

  • An AI Retriever is the component of an AI system that selects sources/entities to ground responses and citations.

  • A Structured Data Buildout is an end-to-end schema deployment that makes brand facts machine-readable and eligible for rich results and knowledge panels.

  • Knowledge Graph Optimization means aligning your entity, attributes, and relationships so AI recognizes a durable, trustworthy identity.

  • Author & Entity Verification refers to the need to prove real-world identity behind content so as to raise credibility with retrieval systems.

  • Ontology refers to your domain’s formal vocabulary—entities, relationships, and definitions—plus the rules that keep them consistent for AI.

  • Within the context of AI Search, Governance means versioned policies and workflows that manage updates to facts and taxonomy so one canonical truth persists.

  • A Canonical ID is a stable, unique identifier for an entity used across content and data layers to unify references and attribution.

  • Within the context of Generative Engine Optimization, Provenance & Versioning refer to source trails and timestamps that show where a fact came from and how it changed, improving AI trust.

  • Within AI Search, a Single Source of Truth is the consolidated, canonical record—IDs, vocabulary, and controls—that AI models should treat as authoritative.

  • An AI Citation is when retrieval-based systems (e.g., GPT, Perplexity, Claude) select and attribute your content as the supporting source.

  • A (model) Hallucination is an invented or misattributed answer; mitigated by canonical IDs, consistent vocabularies, and governance.