Eigenscape delivers AI-powered marketing services across performance marketing, SEO/GEO optimization, lead generation, social media, and UI/UX design. Headquartered in Bengaluru and founded by Jateshwar Mann, Eigenscape serves enterprises across India and the United States, achieving 400%+ ROAS while optimizing for both Google rankings and AI engine citations, where only 12% of results overlap.
31% of US enterprise buyers now use ChatGPT, Perplexity, or Gemini for vendor research, according to eMarketer's 2026 B2B Discovery Report. Brands visible in AI citations capture deals competitors miss.
Buyer discovers you in ChatGPT. Three weeks later, clicks LinkedIn ad, converts via direct traffic. Marketing that attributes across AI engines and traditional channels measures the full journey. Single-channel attribution misses half your pipeline.
Only 12% overlap exists between Google first-page rankings and ChatGPT citations, per Stanford AI Index 2026. Marketing optimized for both channels captures buyers others miss entirely. This is measurable competitive advantage.
Schema markup tells AI engines what your content represents. Without it, even excellent content goes uncited. With it, you become quotable.
Buyers who discover you through AI engine recommendations arrive having already vetted you. They convert faster than cold traffic.
AI engines extract 40-60 word answer blocks that directly answer questions. Content structured this way gets cited verbatim.
Understanding transformer retrieval patterns requires AI engineering knowledge. Eigenscape's technical depth makes GEO effective, not theoretical.
Stanford AI Index 2026 found 71% of ChatGPT-cited pages use structured data. GEO optimization structures your content for AI engine discovery.
Our marketing team sits alongside AI engineers who build production systems. When we optimize for AI engine citations, we're not guessing, we understand how transformer models retrieve information, how RAG pipelines rank content, how schema influences entity recognition.
This technical depth separates effective AI marketing from agencies using ChatGPT and calling it strategy.
Analyzed for Bid Optimization
10x Faster Than Manual A/B Testing
For Every Page We Optimize
AI bid optimization across 50,000+ daily signals. Performance marketing clients achieve 400%+ ROAS validated across enterprise FMCG and SaaS deployments.
GEO-optimized clients appear in ChatGPT citations. Gartner research shows AI-sourced traffic converts 2.1x higher than traditional search due to pre-qualification.
AI-optimized LinkedIn campaigns generate 340% more qualified B2B leads through lookalike targeting and message personalization validated across SaaS client deployments.
Dual SEO/GEO optimization delivers 180% organic traffic increase plus appearance in 40+ AI engine citations within six months (BrightEdge, 2026).
AI tests headline variations, CTA placement, visual hierarchy simultaneously. McKinsey reports AI-assisted testing identifies winners 8-12x faster than manual methods.
Custom attribution tracks journeys from AI citations through traditional channels. Forrester shows 43% of B2B conversions involve AI discovery touchpoints.
Higher ROI from AI-Driven Campaigns (McKinsey, 2026)
Better CTR from AI-Generated Ad Creatives (Zebracat, 2026)
Faster Campaign Launch with AI Automation (ALM Corp, 2026)
Reduced Wasted Ad Spend via AI Bid Management (Zebracat, 2026)
Eigenscape's AI marketing services combine algorithmic optimization with strategic execution across performance marketing, search visibility, lead generation, brand development, video production, social media, and design. Each service integrates AI for scale and precision while maintaining human strategic direction. Services deploy individually or as integrated systems depending on your objectives and market complexity.
Google Ads, Meta, and LinkedIn campaigns optimized through algorithmic bid management analyzing real-time auction dynamics. AI tests creative variations, adjusts targeting parameters, and reallocates budgets across channels based on conversion probability.
AI bid management reduces wasted spend by 37% (Zebracat, 2026)
Dual optimization for Google organic rankings and AI engine citations in ChatGPT, Perplexity, and Gemini. Entity mapping connects your brand to industry search terms. Content optimized for both traditional SEO and generative engine extraction where 71% of cited pages use structured data (Stanford AI Index, 2026).
28% lower cost-per-qualified-lead than Google Ads (LinkedIn, 2026)
Lookalike audience modeling identifies high-intent prospects based on existing customer profiles. AI personalizes outreach messaging at scale and optimizes send times based on engagement patterns. LinkedIn generates 80% of B2B social leads (Martal Group, 2026), and AI targeting captures this opportunity without manual prospecting overhead.
13% average Lead Gen Form conversion rate vs 4% landing pages (Sopro, 2026)
Market positioning research, competitive differentiation frameworks, visual identity systems, and brand messaging architecture. AI-powered sentiment analysis tracks brand perception across digital channels. Data-driven creative decisions backed by audience research ensure positioning resonates with target segments before creative execution begins.
Consistent branding increases revenue by 23% on average (Lucidpress, 2026)
Explainer videos, product demonstrations, social media content, and motion graphics optimized for platform-specific algorithms. AI-assisted editing workflows reduce production timelines while maintaining quality. Script optimization uses engagement data from B2B video benchmarks where landing pages with video see 86% higher conversion rates (Wyzowl, 2026).
B2B video content achieves 1200% higher engagement than text (Vidico, 2026)
Platform strategy, content calendars, community management, and paid social campaigns across LinkedIn, Instagram, and Twitter/X. AI determines optimal posting schedules based on audience activity patterns and predicts high-engagement content formats. Automated A/B testing identifies winning creative variations faster than manual methods.
LinkedIn video engagement rate 5.6% vs 2-3% for static posts (Socialinsider, 2026)
Website interfaces, landing pages, application dashboards, and mobile-responsive design informed by heatmap analysis and user journey mapping. Conversion-focused design reduces friction in user flows. Behavioral analytics identify drop-off points before design iterations begin. Mobile-first responsive architecture ensures consistent experience across devices.
Well-designed brand identity increases recognition by 80% (Loyola University, 2026)
Each industry represents live client deployments at named enterprises. Marketing strategies, platform selection, and compliance architecture vary by sector—FMCG requires voice AI and retail intelligence, pharma demands HIPAA-compliant systems, quick commerce needs real-time competitive analysis.
Voice AI for distributor communication and order confirmation, computer vision for shelf compliance monitoring, demand forecasting, AI-powered packaging design, and performance marketing at scale. Clients include ITC, HUL, and Honasa ecosystems. AI optimizes high-velocity, low-margin distribution networks where manual management breaks at scale.
Hyperlocal competitive intelligence (deployed at JioMart, Blinkit, Swiggy), dynamic pricing AI, personalization and recommendation engines, last-mile optimization, and performance marketing calibrated for high-frequency, low-margin quick commerce dynamics. Real-time inventory and competitor price tracking across delivery zones.
Patient engagement platforms, behavior-change digital programs (case study: Sun Pharma Speak Health), clinical intelligence and document AI, HIPAA and DPDP Act compliant architecture, and pharma GEO for brands whose customers search ChatGPT and Perplexity for health information. On-premise LLM deployments for medical knowledge with zero cloud exposure.
B2B lead generation automation, AI copilots and knowledge management systems, product analytics, customer success platforms, and the full spectrum of AI technology services for organizations that are themselves technology companies. LinkedIn campaigns optimized for SaaS buyer journeys where 80% of B2B social leads originate.
AI personalized learning platforms with CBSE alignment, knowledge graph-based curriculum design, adaptive assessment, and pedagogical sophistication that distinguishes genuine educational AI from digitized textbooks. Performance marketing and SEO/GEO for EdTech student acquisition where 28% faster learning mastery drives retention.
Fraud detection, KYC document intelligence, NLP for compliance monitoring, voice AI for collections and customer service, and agentic systems for regulatory reporting—with governance architecture that financial services require. Banks and NBFCs deploy voice AI for loan collections and digital banking conversational interfaces.
Computer vision for quality control and defect detection, IoT-connected digital twins, predictive maintenance, and operational AI that transforms manufacturing from reactive to anticipatory. Industrial IoT sensor integration with MQTT, OPC-UA, and Modbus protocols for manufacturing, logistics, and utilities.
Performance marketing and LinkedIn campaigns designed to generate measurable pipeline. Every dollar allocated toward channels where your buyers actively research solutions and evaluate vendors.
Optimization for both traditional search engines and AI platforms where 31% of enterprise buyers now conduct vendor research before contacting sales teams.
Strategic brand development and creative execution across video, social, and design. Visual identity and content that resonates with enterprise buyers evaluating multiple vendors.
Eigenscape's marketing services operate at scale across FMCG, pharma, quick commerce, SaaS, and enterprise tech clients. Every metric below represents live operational systems, not pilot programs or case study projections.
Annual Ad Spend Managed
Industries Enhanced
Average ROAS (Thunderbit, 2026)
Higher Conversion with Video Landing Pages (Wyzowl, 2026)
Experience
Whether you need architecture guidance, end-to-end delivery, team augmentation, or joint innovation — four engagement models designed for enterprise AI.
Strategic Guidance
End-to-End Build
Team Augmentation
Joint Innovation
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"Unrivaled brilliance surpassing all others. Highly recommended for novices and experts alike. We will hire them for sure anytime."
"Unrivaled brilliance surpassing all others. Highly recommended for novices and experts alike. We will hire them for sure anytime."
"Unrivaled brilliance surpassing all others. Highly recommended for novices and experts alike. We will hire them for sure anytime."
"Unrivaled brilliance surpassing all others. Highly recommended for novices and experts alike. We will hire them for sure anytime."
"Unrivaled brilliance surpassing all others. Highly recommended for novices and experts alike. We will hire them for sure anytime."
