Generative Engine Optimization Programs for SaaS Platforms, D2C Brands, and Scaling SMEs
Million Global Leads operates two precision-scoped GEO programs built on a single architecture. The Forty-Five Day AI Search Sprint at $1,800 deploys entity vector mapping, full JSON-LD injection, and a model visibility optimization report in a fixed-scope engagement. The AI Search Readiness Kit at $199 gives founders and marketing teams the templates, masterclass, and self-audit checklist to measure their generative search engine optimization readiness before committing to the Sprint.
What generative engine optimization programs does Million Global Leads offer for SaaS and D2C brands?
Million Global Leads offers two core generative engine optimization programs for high-growth SaaS platforms, D2C brands, and scaling SMEs. The Forty-Five Day AI Search Sprint at $1,800 deploys entity vector mapping, full JSON-LD structured data injection, and a model visibility optimization report in a single fixed-scope engagement. The AI Search Readiness Kit at $199 is the self-service entry point for teams that need to audit their citation signals and understand their generative search engine optimization baseline before committing to the Sprint. Both programs are delivered from San Francisco and serve clients worldwide.
Precision-scoped programs for AI citation authority
Two entry points. One underlying architecture. Whether your brand needs the full generative search engine optimization sprint or a self-service readiness baseline, both programs are built on entity vector mapping and model visibility optimization for the five primary AI platforms.
Foundation Sprint - Fixed Scope
The Forty-Five Day AI Search Sprint
A 45-day fixed-scope program that builds the complete GEO foundation for SaaS platforms, D2C brands, and scaling SMEs. Every deliverable is documented and handed over so the in-house team can maintain the system independently after the Sprint closes.
- Entity vector mapping across brand, service, and founder relationships
- Full JSON-LD injection on every priority page
- GEO block deployment on the top ten traffic pages
- Model visibility optimization report across five AI platforms
- Citation baseline measurement at Sprint start and Sprint close
- Founder authority structured data package
Self-Service Entry Point
The AI Search Readiness Kit
A self-service resource for SaaS founders and D2C marketing teams that need to understand their AI citation baseline before committing to the Sprint. Use the Kit to audit entity graph gaps, identify missing structured data, and build a clear brief for the Sprint engagement.
- Complete JSON-LD template library for all priority schema types
- GEO copywriting outline and AI-citable block templates
- 45-minute video masterclass by Hitesh Lamba
- Self-audit checklist: 12 citation readiness signals
- Structured data for Service, FAQPage, and BreadcrumbList
- GEO block deployment guide with data-geo attribute patterns
Six deliverables. One complete GEO foundation.
Every $1,800 Sprint engagement produces six documented deliverables, each designed to make the brand machine-readable to generative AI citation systems. All six are handed over with documentation so the client team can verify and maintain the architecture independently.
Entity Vector Mapping
Every brand, service, founder, and authority relationship registered as a machine-readable knowledge graph entry that generative AI systems can locate and validate.
Full JSON-LD Injection
Service, ProfessionalService, FAQPage, and BreadcrumbList schema deployed across every priority page, giving AI crawlers the structured data layer they require.
GEO Block Deployment
AI-citable answer blocks with data-geo attributes placed on the top ten traffic pages, each carrying question-format headings and structured citation signals.
Model Visibility Optimization Report
Platform-by-platform analysis of where ChatGPT, Perplexity, Google AI Overviews, Copilot, and Gemini cite or skip the brand, with a prioritized fix list.
Citation Baseline Measurement
Quantified citation frequency across five AI platforms recorded at Sprint start and Sprint close, giving a verified before-and-after benchmark for all future work.
Founder Authority Package
Structured data for the founder entity, linking professional credentials, publication history, and topic authority into the brand knowledge graph.
Three layers. One compounding citation architecture.
Every GEO engagement at Million Global Leads begins with entity vector mapping: registering every brand, service, and founder relationship as a machine-readable knowledge graph entry that generative AI systems can locate, validate, and cite. AI platforms including ChatGPT, Perplexity, and Google AI Overviews select citation candidates from structured entity graphs - not from keyword density or backlink counts. A SaaS platform with incomplete entity registration is invisible to citation selection regardless of how much content it has published. The Forty-Five Day AI Search Sprint at $1,800 resolves this gap in a single fixed-scope engagement.
The second layer is generative search engine optimization through schema deployment: injecting JSON-LD structured data across every priority page so AI crawlers have the machine-readable foundation they need to identify citation candidates. Service schema, ProfessionalService schema, FAQPage schema, and BreadcrumbList schema work together to signal topic authority, service context, and entity relationships. The third layer is sustained citation compounding through the Organic Revenue Engine Retainer Framework: adding programmatic SEO, entity expansion, and multi-platform citation tracking monthly so citation frequency grows as the entity graph deepens. D2C brands that understand the full timeline for GEO transformation see the compounding effect most clearly from month three onward.
Teams that want to understand the difference between traditional SEO and generative engine optimization before committing to the Sprint should start with the $199 AI Search Readiness Kit. Brands ready to deploy immediately should book a 15-minute strategy call with Hitesh Lamba to scope the Sprint directly.
Questions about the two programs
Questions about the Sprint, the Kit, entity vector mapping, and what each program delivers. For additional questions, read the Million Global Leads about page or reach out directly.
The $1,800 Forty-Five Day AI Search Sprint delivers the complete generative engine optimization foundation in a fixed-scope engagement: entity vector mapping across all brand, service, and founder relationships; JSON-LD structured data injection on every priority page; GEO block deployment on the top ten traffic pages; a citation readiness audit with baseline measurements across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot; and a model visibility optimization report that shows where each AI platform selects or skips the brand.
Entity vector mapping is the process of registering every relationship between a brand, its services, its founder, and its topic authority as a machine-readable knowledge graph entry. Generative AI models including ChatGPT and Perplexity select citation candidates from structured entity graphs - not from keyword density or backlink counts. A SaaS platform or D2C brand that has not completed entity vector mapping is invisible to citation selection regardless of how much content it has published. The Forty-Five Day AI Search Sprint resolves this gap in a single fixed-scope program.
The Forty-Five Day AI Search Sprint builds citation visibility across the five primary generative AI platforms: ChatGPT (OpenAI), Perplexity, Google AI Overviews, Microsoft Copilot, and Gemini. Baseline citation measurements are taken at the start of the Sprint across all five platforms. The model visibility optimization report delivered at the end of the Sprint identifies which platforms cite the brand, which queries trigger citations, and which structured data gaps remain after the 45-day program.
The $199 AI Search Readiness Kit is a self-service resource for SaaS founders and D2C marketing teams who need to understand their current GEO baseline before investing in the Sprint. The Kit includes a complete JSON-LD template library, a GEO copywriting outline for AI-citable content, a 45-minute video masterclass by Hitesh Lamba, and a 12-signal self-audit checklist that identifies the foundational gaps the Sprint addresses. Brands that already understand their citation gaps and want the Sprint delivered by the MGL team should book a strategy call directly.
Start engineering your AI citation share.
Book a 15-minute strategy call with Hitesh Lamba. We will review your current AI citation gaps, confirm the right program for your brand stage, and scope a clear path to model visibility for your SaaS platform, D2C brand, or scaling SME.
Not ready for a call? The $199 AI Search Readiness Kit gives you the self-audit framework, JSON-LD templates, and 45-minute masterclass to build your brief before engaging.
Book a Free 15-Minute Strategy CallNo commitment. No sales pressure. One conversation.