Market Growth Consulting (MGC) partners with your CRO, CMO, and Head of RevOps to navigate the rapidly evolving AI landscape through collaborative brainstorming sessions aimed at identifying the most valuable AI investments. Starting in early 2024, MGC began delivering strategic projects that evaluate how marketing departments should utilize AI and how to present these use cases to enterprise AI councils for approval. This methodology ensures that every AI initiative is strictly prioritized based on its potential value, implementation cost, and mitigated risk, so that the resulting value clearly outweighs any technical or brand exposure.
Mark Goloboy brings deep, practical expertise in data and analytic systems to his AI marketing work. Mark began his career as a technology consultant at Accenture, where he designed and implemented large-scale data warehouse and business intelligence platforms. Having gained firsthand experience in how complex systems are built, integrated, and scaled, that foundation directly shaped Mark’s career in marketing, where he focused on building data-driven marketing systems that connect strategy, technology, and measurable outcomes. This combination of systems thinking, data fluency, and hands-on experience with leading-edge technologies uniquely qualifies Mark to understand and guide the impact of AI on marketing in 2026, particularly as organizations look to operationalize AI across data, workflows, and go-to-market execution.
Build AI GTM Solutions
MGC specializes in developing sophisticated solutions for complex go-to-market challenges by blending legacy systems with cutting-edge artificial intelligence.
- Multi-System Integrations: MGC builds innovative agentic solutions using retrieval-augmented generation (RAG), custom Python development, and advanced tools like Clay, Zapier, and n8n. Examples include automating the operations of PR agencies and creating custom GPTs that review MSAs or identify sales retention risks from raw data.
- Implementing Complex AI Tools: The firm provides technical expertise to implement and optimize high-impact tools such as Gong for sales transcripts, Dreamdata for attribution, and Trendemon for ABM measurement and web personalization. These implementations focus on new human-in-the-loop processes that allow clients to scale personalization and target account list creation faster than previously achievable.
- GPT Answer Engines: MGC is a leader in building transcript-based GPT Answer Engines designed to resolve internal or customer support questions. By moving Gong transcripts through Clay to scrub data and create metadata, which is then stored in vector databases like Pinecone, MGC creates live “Answer Engines” that understand how customers actually interact with your brand.
- MGC also supports internal helpdesk Answer Engine use cases to resolve most tickets. Agentic technology connects the GPTs to sources as varied as product specifications, knowledge bases, CRM and marketing automation platforms (MAP), and reporting dashboards to resolve most Level 1 questions, focusing internal helpdesk resources on more complex questions.
- AI Content Strategies and GEO: MGC leverages advanced analytics through the Revere Brand Luminaire tool to analyze brand sentiment and volume across LLMs like ChatGPT, Gemini, and Perplexity. This data allows clients to reallocate valuable Google ad dollars and SEO effort toward a “Generative Engine Optimization” (GEO) focus, positioning your brand as the definitive answer when buyers ask an LLM about your category and competitors.
Showcase the “Human-in-the-Loop”
To mitigate the common buyer fear of “pure AI” or autonomous brand damage, MGC’s technical architecture is built with a mandatory human-in-the-loop review process. While agentic solutions like the AI Content Factory can transform 200 product specs into 1,600 translated web pages, the system is designed so only updated elements are flagged for human review.