Case Studies

From invisible to indispensable

How the GAEO framework helps brands become the answer AI chooses to give. Real strategies, measurable outcomes.

AutomotiveA premium electric vehicle manufacturer
90 days engagement

Challenge

Car buyers use AI arrays to compare EV specs—range, charging speed, and software features. AI models were systematically citing the manufacturer's older generation battery specs (300 miles instead of 450 miles) and conflating their self-driving capabilities with competing brands, severely damaging brand perception at the top of the funnel.

Approach

We neutralized the outdated data by establishing a "Single Source of Truth" specification hub formatted strictly for AI consumption (using semantic HTML and JSON-LD). We then orchestrated a synchronized data-update campaign across Wikipedia, automotive wikis, and key review aggregators to force AI models to overwrite their weighted parametric memory with the new 2026 specs.

Results

AI Range Accuracy

40%100%

Brand Sentiment in AI

NeutralHighly Positive

Test Drive Requests

Baseline+32%
B2B SaaSA mid-market project management platform
90 days engagement

Challenge

Despite strong Google rankings, the brand was absent from AI-generated recommendations in their category. Competitors with weaker SEO appeared in every AI answer.

Approach

Full GAEO audit revealing critical gaps in structured content and authority signals. Rebuilt content architecture for AI parsability while maintaining SEO value.

Results

AI Mention Rate

4%61%

Branded AI Queries

120/mo2,400/mo

Demo Requests (AI-attributed)

0180/mo
CybersecurityAn AI-powered threat detection platform
90 days engagement

Challenge

In the fast-moving 2026 cybersecurity landscape, AI models were failing to grasp the nuanced difference between the client's novel active-defense technology and traditional firewall solutions. Consequently, AI assistants were recommending the client for the wrong use cases and omitting them from the right ones.

Approach

We executed a rapid Semantic Realignment. We identified the exact terminology models associated with their novel tech and rewrote the brand's core documentation to align with that taxonomy. We leveraged GAEO's "Corroboration Signals" by ensuring third-party security analysts and technical forums used this specific taxonomy, teaching the AI to accurately categorize and recommend the platform.

Results

Category Leadership in AI

#5 mentionedTop 2

Technical Accuracy

BlurredCrystal Clear

Lead Conversion Rate

1.8%4.2%
E-Commerce / DTCA premium skincare brand
60 days engagement

Challenge

AI assistants consistently recommended competitor products. The brand's content was rich but structured in ways that AI models couldn't parse effectively.

Approach

Engagement Architecture overhaul — restructured product information, ingredient data, and clinical results into AI-optimized formats without disrupting the customer experience.

Results

AI Product Recommendations

038% of queries

Organic Traffic (AI-referred)

2%24%

Revenue from AI Discovery

$0$140K/mo
B2B Enterprise SoftwareA disruptive cloud ERP system
180 days engagement

Challenge

In the complex B2B buying cycle of 2026, procurement teams use AI to build initial vendor shortlists. This disruptive ERP was losing out because AI models heavily favored legacy giants (SAP, Oracle) due to their sheer volume of historical documentation. Furthermore, AI often attributed this client's unique "predictive supply chain" feature to its legacy competitors.

Approach

We implemented a robust Entity Clarity framework. By creating a definitive "Canonical Identity" across all knowledge bases and PR distributions, we trained AI models to distinguish the client from legacy providers. We also seeded structured "vs. competitor" technical documentation that AI models actively consume when users prompt them to compare ERP systems.

Results

Share of AI Voice (SOV)

3%41%

Feature Misattribution

HighZero

Enterprise RFP Inclusions

2/quarter14/quarter
FinTech & Wealth ManagementA leading digital wealth advisor
120 days engagement

Challenge

As High-Net-Worth individuals shifted from Google to Perplexity and Claude for financial research in 2026, this digital wealth platform noticed a sharp drop in qualified leads. AI models were repeatedly recommending legacy banks because of their massive historical web presence, completely ignoring the client's superior fee structure and modern features.

Approach

We executed a comprehensive GEO (Generative Engine Optimization) strategy. First, we restructured their fee and feature data using advanced JSON-LD schemas that AI parsers favor. Next, we built an "Information Corridor"—publishing highly structured, fact-dense comparison guides across trusted financial platforms that AI models use for training. Finally, we clarified their brand entity to prevent model confusion with a similarly named crypto platform.

Results

Perplexity Recommendation Rate

12%84%

AI-Generated Leads

15/mo320/mo

Cost per Acquisition (CPA)

$450$180
Healthcare & TelemedicineA national telehealth provider network
90 days engagement

Challenge

Patients in 2026 increasingly ask AI assistants (like ChatGPT or Google's Gemini) to evaluate symptoms and recommend immediate care options. This telehealth provider had excellent SEO for "telehealth doctor online" but was practically invisible when users asked conversational questions like "what should I do for a suspected sinus infection right now?"

Approach

Our AEO (Answer Engine Optimization) audit revealed their medical content was verbose and unstructured. We reformatted their vast library of medical articles into Q&A structures optimized for Retrieval-Augmented Generation (RAG). We established clear "Entity Authority" by linking their doctors' credentials directly to the clinic's knowledge graph, prompting AI models to cite them as a trusted, immediate medical solution.

Results

Symptom-Query Visibility

5%55%

Accurate Service Attribution

40%98%

Direct Booking from AI

04,500/mo
Higher EducationA top-tier university online MBA program
150 days engagement

Challenge

Prospective students use AI to synthesize complex university comparisons—weighing tuition, alumni outcomes, and curriculum. AI models were hallucinating the university's tuition costs (using 2022 data) and completely omitting their newly launched AI-integration curriculum, causing them to lose top candidates to rival programs.

Approach

We deployed a "Data Freshness Injection" strategy. We identified the exact authoritative tertiary sources (aggregators and review sites) that major LLMs were weighting heavily in 2026 and updated the university's profiles there. We also overhauled the university's own domain architecture, placing key decision-making criteria (cost, duration, outcomes) into rigid, machine-readable HTML tables that AI models prioritize during synthesis.

Results

Inclusion in 'Top 10' AI Lists

8%92%

Information Accuracy in AI

65%100%

Applications from AI Search

Unknown+45% YoY
HR Tech & SaaSA next-gen employee experience platform
60 days engagement

Challenge

The company suffered from a severe brand name collision—their name loosely matched a common HR management theory. When HR Directors asked AI about the platform, the models frequently hallucinated, explaining the theory instead of the software product, completely derailing the brand's visibility.

Approach

We launched an aggressive Entity Disambiguation campaign. We implemented comprehensive SoftwareApplication and Organization Schema markup. We created a stark "Canonical Identity" definition and pushed it to key knowledge bases (Crunchbase, Wikipedia, G2). We fed the AI clear distinction parameters, permanently separating the software entity from the conceptual theory in the models' latent space.

Results

Brand Name Disambiguation

Failed 70%Resolved 100%

Competitor Comparison Wins

15%82%

Enterprise Pipeline Created

$400K$1.8M
Legal ServicesA global corporate law firm
150 days engagement

Challenge

General Counsels increasingly use AI to perform initial research on complex regulatory changes (e.g., 2026 AI compliance laws). While the law firm had brilliant human lawyers, their thought leadership was trapped in long, unstructured PDF whitepapers that AI models struggle to accurately parse and attribute.

Approach

We decoupled their intellectual property from PDFs. We implemented a "Granular Extraction" strategy, breaking down complex legal analyses into bite-sized, Q&A formatted web components. We strengthened the Entity Clarity of individual partners, ensuring that when AI models synthesized answers on specific legal niches, they cited the firm's partners by name as the definitive experts.

Results

Thought Leadership Citations

MinimalDominant

Partner Entity Recognition

20%95%

High-Value Consultations

10/mo45/mo
Professional ServicesA management consulting firm
120 days engagement

Challenge

When prospects asked AI for consulting firm recommendations, the firm was never mentioned — despite being a recognized leader in their niche.

Approach

Built comprehensive Authority Signals strategy: structured thought leadership, corroborating mentions across platforms AI models reference, and optimized firm positioning for AI synthesis.

Results

AI Visibility Score

12/10078/100

Inbound Inquiries

8/mo35/mo

AI-attributed Pipeline

$0$2.1M/quarter
Real Estate & PropTechA national real estate brokerage platform
120 days engagement

Challenge

When home buyers prompted AI for "the best neighborhoods for young professionals in Austin moving from California," legacy real estate sites dominated the output. The client possessed superior, real-time proprietary data, but AI couldn't access or synthesize it, rendering their data advantage useless in the Generative Search era.

Approach

We transformed their proprietary market data into an Open Knowledge Source. By publishing structured, easily ingestible "Market Synthesis Reports" designed specifically for LLM crawling, we positioned the brand as the primary data node for geographical queries. We optimized their agent profiles to match natural language queries about specializations and soft skills.

Results

Local Market Query Dominance

8%64%

Agent Profile Matching

FairPrecise

User Engagement via AI

1.2 mins4.5 mins
Travel & HospitalityAn international luxury resort group
60 days engagement

Challenge

Travelers now ask AI to "plan a 7-day luxury itinerary in Bali." While the resort ranked #1 on Google for "Bali luxury resort," AI models were leaving them out of itineraries or incorrectly stating they didn't have a private beach. The brand's visually stunning, image-heavy website was fundamentally unreadable to text-based AI synthesizers.

Approach

We executed an Engagement Architecture transformation. Without altering the visual frontend, we built a hidden, highly semantic, text-rich layer and comprehensive Schema.org markup detailing amenities, proximity to landmarks, and exclusive experiences. We also generated corroborated reviews focusing on specific "AI trigger phrases" related to luxury itineraries.

Results

Itinerary Inclusion Rate

15%78%

Feature Hallucinations

FrequentEliminated

Direct AI-Referred Bookings

$15K/mo$280K/mo

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