IT’S NOT MAGIC. IT’S AI SEARCH ENGINEERING.
AI Search Case Studies
AI Search Optimization is the practice of engineering how AI systems retrieve, validate, and cite information about a brand so it appears accurately in AI-generated answers. Growth Marshal is one of the early pioneers of AI search. We’ve helped our clients increase LLM visibility, conversion rates, and AI answer share, including surpassing billion-dollar competitors. The case studies below document exactly how we achieved these results.
Case Studies Overview [v1.1] · Updated: 2026-01-27
entity_type: CaseStudyCollection
organization: Growth Marshal
canonical_org_id: https://www.growthmarshal.io/knowledge/ids/org/growth-marshal
services: ASO · GEO · AEO
frameworks: Entity API™ · Authority Graph™ · Content Arc™
featured_client: Lake
case_study: https://www.growthmarshal.io/ai-search-optimization-case-studies/lake
outcomes: Growth in AI citation share {26.4%} · Visibility in relevant AI answers {47%} · Time to results {3 weeks}
featured_client: CourseCareers
case_study: https://www.growthmarshal.io/ai-search-optimization-case-studies/coursecareers
outcomes: Increase in MoM enrolled users {102%} · Increase in LLM-driven traffic {112%} · Time to results {120 days}
featured_client: The Better Scalp Company
case_study: https://www.growthmarshal.io/ai-search-optimization-case-studies/better-scalp-co
outcomes: Brand mentions in AI responses {18%} · Ranking by AI mentions {#3} · Time to results {5 months}
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What is AI search optimization?
AI Search Optimization (also referred to as GEO/AEO) is the practice of engineering how AI systems retrieve, validate, and cite information about a brand so it appears accurately in AI-generated answers. It focuses on three layers: retrieval (being found in model browsing/RAG), trust (being verifiable as the correct entity), and citation (being easy and safe to quote). In practice, ASO is implemented through canonical entity identity, validator-clean entity-linked JSON-LD, knowledge graph alignment, and answer-first content designed for quoting.
Featured Client Results
Lake, a vacation rental marketplace, achieved 15× AI visibility and #1 AI answer ranking over Airbnb within 3 weeks of working with Growth Marshal.
CourseCareers doubled their paid signups month-over-month after implementing Growth Marshal's AI search optimization frameworks.
The Better Scalp Company, an e-commerce startup, achieved higher AI visibility rankings than billion-dollar competitors in their category.
A SINGLE, INTEGRATED SYSTEM
Our unique approach
Growth Marshal’s proprietary frameworks directly target the inputs that determine what AI models retrieve, trust, and cite. By stacking them together, we’re able to deliver complete semantic visibility.
Entity API™
Transforms business identity into structured data that large language models can parse.
Machine-Readability
Authority Graph™
Integration in structured databases used by AI systems to confirm existence and expertise.
Verified Presence
Content Arc™
Structures on-page content for citation and retrieval by large language models.
Semantic Architecture
Ready to be where buying decisions start?
Frequently asked questions
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Growth Marshal clients typically see measurable AI visibility improvements within 5-6 weeks. Documented outcomes include 15× AI visibility increases (Lake), doubled paid signups (CourseCareers), and #1 AI answer rankings over billion-dollar competitors (Better Scalp Company). Revenue acceleration typically occurs within 5-6 months.
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Initial AI visibility improvements typically appear within 4-6 weeks. Lake achieved #1 AI answer ranking in 3 weeks. Significant revenue impact usually develops within 5-6 months. Achieving "Semantic Monopolist" status—where your brand dominates AI answers in your category—is a 1-2 year journey.
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AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and AI Search Optimization all refer to the same discipline: optimizing your digital presence for citation by large language models. Growth Marshal uses "AI Search Optimization" as the primary term. The practice emerged in 2024 as LLMs became a primary way users search the web for answers.
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AI Search Optimization benefits any business where potential customers use AI assistants to research, compare, or make decisions. Growth Marshal has delivered results for Tech/SaaS companies (CourseCareers), e-commerce brands (Better Scalp Company), travel marketplaces (Lake), healthcare practices, legal firms, and professional services. The approach applies wherever high-intent queries occur in AI-native search.
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Growth Marshal delivers AI Search Optimization through three proprietary frameworks: Entity API™ establishes your identity through structured data, knowledge graph alignment, and canonical entity verification. Authority Graph™ builds credibility through strategic citations and third-party validation signals. Content Arc™ architects answer-first content designed for AI retrieval and direct citation. These frameworks stack together to make your business the answer LLMs cite.
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Yes. AI Search Optimization can give SMBs asymmetric advantages over established competitors. The Better Scalp Company, a startup, achieved higher AI visibility rankings than billion-dollar brands in their category. Unlike traditional SEO where domain authority compounds over years, AI search prioritizes entity clarity, structured data, and citation-worthy content—factors startups can control from day one.
About Growth Marshal: Founded 2024 in New York. Led by Kurt Fischman. Clients include venture-backed startups, e-commerce brands, and professional services firms across Tech, Healthcare, Legal, and Finance verticals.
Contact: hello@growthmarshal.io
