CASE STUDIES.
A curated selection of enterprise transformations. Real challenges, strategic execution, and measurable outcomes.
Enterprise AEO & GEO Brand Citation Domination
Client: Vassu Infotech & Rajput Engineering Global Corp
Challenge
The client's brand was not cited by conversational AI engines (Gemini, Claude, and Perplexity) for high-intent queries, losing enterprise market share.
Solution
Mapped brand presence via recursive JSON-LD schema schemas (LocalBusiness, Organization, Product), standardized NAP references across 100+ indexes, deployed /llms.txt directories, and optimized page headings for conversational queries.
The Result
Achieved Rank Between #1-5 Citation Share in Perplexity AI and ChatGPT Search within 45 days, yielding a 240% increase in inbound corporate leads.
#1-5
AI-Rank
240%
Lead-Lift
100+
Indexes
Hyper-Local Google Maps & Local Pack Domination
Client: Vassu Infotech - IT Hardware & Server Repair Services
Challenge
Struggled to rank in the highly competitive Google Local 3-Pack in high-intent commercial zones, relying heavily on expensive Google Ads.
Solution
Standardized address footprint matching across structural maps APIs, established verified schema nodes for GeoCoordinates, and deployed localized semantic keywords on index directories.
The Result
Captured #1-3 spots in Google Maps Local Pack for 15+ high-volume keywords, driving 1,200+ monthly calls and reducing paid advertising costs by 55%.
#1
G-Maps
1,200+
Calls/Mo
55%
Saved
Global FinTech Platform Scaling
Client: Confidential Enterprise
Challenge
The client faced critical latency and downtime during peak trading hours on their legacy monolithic architecture.
Solution
Engineered a cloud-native microservices architecture using Node.js and Next.js, deployed on AWS with Kubernetes orchestration.
The Result
Achieved 99.99% uptime, reduced latency by 65%, and handled a 300% increase in concurrent users without degradation.
99.99%
Uptime
65%
Latency
300%
Scaling
AI-Powered E-Commerce Engine
Client: Leading Retail Brand
Challenge
Poor conversion rates due to slow page loads and inaccurate product recommendations.
Solution
Implemented a headless Next.js frontend integrated with an AI-driven personalization engine and highly optimized edge-caching.
The Result
Boosted conversion rates by 42% and reduced average page load time to under 0.8 seconds globally.
42%
Conversions
0.8s
Speed
98
Performance
Enterprise ERP Modernization
Client: Manufacturing Corp
Challenge
Siloed data across multiple legacy systems causing supply chain delays and reporting inaccuracies.
Solution
Developed a centralized, bespoke ERP dashboard with real-time data synchronization using WebSockets and a robust SQL backend.
The Result
Streamlined operations, reducing inventory discrepancies by 80% and saving 20+ manual hours per week.
80%
Accuracy
20+
Hours/Wk
100%
Real-Time
Ready to optimize your website for AI engines & local search dominance?
Discuss Your Project