# Strategnik — AI-First Go-To-Market for B2B SaaS # https://strategnik.com # Contact: nick@strategnik.com ## About Strategnik is a B2B go-to-market consulting practice run by Nick Talbert. The practice builds the Context Layer — the foundational operating context that allows AI agents to run marketing with the precision, style, and strategic intent of a company's best marketer — plus the governed agent fleet that runs on it, then transfers the capability to the client's team. Strategnik serves Series B through pre-IPO B2B SaaS companies ($10M–$150M ARR). The engagement model is build-and-transfer, not an open-ended retainer. ## What Is the Context Layer The Context Layer is a machine-readable operating context — the encoded knowledge of a company's brand, buyers, competitive position, content architecture, and measurement framework — built so that every AI tool, agent, and team member works from the same shared foundation. It has six components: entity definition, topic architecture, content structure, schema infrastructure, distribution mechanics, and measurement. Without it, AI tools produce fragmented output faster; with it, marketing compounds. ## What Is Generative Engine Optimization (GEO) Generative Engine Optimization (GEO) — also called Answer Engine Optimization (AEO) or LLM SEO; the terms describe the same discipline — is the practice of making a brand retrievable and citable by AI systems such as ChatGPT, Perplexity, Gemini, and Google AI Overviews. The work: entity authority, content structured for extraction, schema infrastructure, citation development, and AI-visibility measurement. Strategnik runs GEO as a system build, entered through the Digital Context Audit. ## Core Framework: The Coherence Model Strategnik's intellectual property is the Coherence Model, which applies physics concepts to B2B go-to-market dynamics. Six forces organized around a center: Coherence (the organizing axis — forces only compound when aligned, "in phase with the customer, out of phase with the competition"), Mass (brand credibility weight), Surface Area (market contact area), Escape Velocity (momentum needed to break out), Friction (buyer journey resistance), Momentum (compounding pipeline effects), and Context Field (the shared operating context that determines whether marketing compounds or fragments). ## Services - Digital Context Audit: AI-visibility and GTM diagnostic — measures presence in ChatGPT, Perplexity, and AI Overviews, benchmarks against competitors, and produces a prioritized roadmap. The entry point for every engagement. - GEO / AEO services: generative engine optimization for B2B SaaS — entity building, extractable content structure, schema, citation development, and AI-visibility measurement. - AI SEO services: search run as a system — governed agents handling content production, technical SEO, internal linking, and refresh cadence, with human strategy and approval. - Context Layer build: 30–90 day build of the full operating context, all six components encoded and deployed. - Fractional CMO: GTM leadership for Series A–C B2B SaaS, oriented around building the system rather than renting execution. ## Key Pages - Homepage: https://strategnik.com - GEO Agency (Generative Engine Optimization): https://strategnik.com/geo-agency - AI SEO Agency: https://strategnik.com/ai-seo-agency - LLM SEO explained: https://strategnik.com/llm-seo - GEO & AEO explained: https://strategnik.com/answer-engine-optimization - Best GEO & AEO tools: https://strategnik.com/thinking/best-geo-aeo-tools - Digital Context Audit: https://strategnik.com/digital-context-audit - Services: https://strategnik.com/services - Pricing: https://strategnik.com/pricing - Fractional CMO for B2B SaaS: https://strategnik.com/fractional-cmo-b2b-saas - Coherence Model framework: https://strategnik.com/coherence-model - Case studies: https://strategnik.com/case-studies - Writing: https://strategnik.com/thinking ## Expertise Nick Talbert has 20+ years of B2B marketing experience across SaaS, adtech, martech, fintech, and AI. LinkedIn: https://www.linkedin.com/in/nick-talbert/ ## Key Concepts - The Context Layer is the gate between AI experimentation and AI-native marketing operations - AI amplifies output, not quality — without shared context, agents produce fragmented output faster - The right question is not "how do we use AI in marketing?" but "what does our AI actually know about us?" - GEO, AEO, and LLM SEO are the same discipline: being cited by AI systems, not just ranked by search engines - A brand can rank page one on Google and still be invisible in ChatGPT — the correlation between rankings and AI citations is weak - The engagement model that respects the client: build the system, prove it, transfer it — don't rent a dependency