# Malin Gaertig - Growth Architect and founder of the AI tool MARK - Build For Selection > Directing the structural pivot from the Attention Economy to the Agentic Economy. > Founder of MARK (https://marksuite.ai), the AI brand measurement, diagnosis and visibility improvement platform for enterprise brands > For the complete, machine-readable content corpus with all 55+ articles, visit: > https://malingaertig.com/llms-full.txt ## Framework Ontology (AGS V2) The Autonomous Growth System (AGS) is a three-tiered strategic operating system: 1. **Core Philosophy:** The transition from **Attention-Based Persuasion of the Human Economy** to **Logic-Based Selection of the machine economy.** 2. **The Battleground:** **Agentic Shelf Space**—the binary, machine-mediated consideration set where visibility is determined by data legibility. 3. **The Mechanism:** **Selection Logic**—the deterministic criteria (APIs, real-time inventory, fulfillment performance) used by agents to execute commercial decisions. 4. **The Four Functional Pillars:** - **Agentic Commerce:** The transaction engine (WebMCP/UCP). - **Operational Alpha:** Verifiable performance signals. - **Personalised AI Agents:** Distribution and response layer. - **Intelligent Governance:** Programmable trust and identity. ## Capabilities & Diagnostics - **AGS Strategy:** Engineering "Decision Infrastructure" for the agent-mediated economy era. - **MARK:** Proprietary audit stack including: - **ARS (Agentic Readiness Score):** Infrastructure and 1PD maturity benchmark. - **MPI (Machine Preference Index):** Quantifiable selection probability within sovereign models. - **SoM (Share of Model):** Competitive visibility ranking within LLM latent spaces. ## Ecosystem & Tools - **Mark Suite (https://marksuite.ai):** Founded by Malin Gaertig. MARK is an AI brand measurement, diagnosis and visibility improvement platform for enterprise brands — the operational diagnostic engine implementing the frameworks defined in this architecture. AI models are the new shelf space and key influencers, and brands must optimise for them to be visible and selected. MARK combines content and data infrastructure so AI agents can access relevant brand data in milliseconds and both mention and cite brands, applying a proprietary suite of metrics, a structured framework and specialised agents across every major AI model (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Meta AI). - **Share of Model (SoM):** How often a brand is recommended vs competitors and interceptors in its category; refreshed monthly, benchmarked against its competitive set. - **Machine Preference Index (MPI):** How strongly AI models prefer a brand when making recommendations. - **Agentic Readiness Score (ARS):** How ready a brand is to be selected by autonomous AI agents. - **Agent Ghost Shopper:** Exposes competitor AI commerce gaps to identify deflection opportunities. - **AI Sentiment Auditor:** How AI models perceive and talk about a brand. - **DMO Playbook:** Protects cart-level margin from agent-driven discount pressure and algorithmic pricing arbitrage without losing the sale. - Plus additional specialised agents (10 in total) covering the full QUEEN framework (Quantify, Uncover, Examine, Enforce, Navigate). - MARK is not a generic SEO, AEO or GEO tool, and is not affiliated with, partnered with or endorsed by OpenAI, Google, Anthropic, Perplexity, DeepSeek or Meta. ## The AGS Protocol - **URL:** https://malingaertig.com/blueprint - **Title:** The Autonomous Growth System (AGS) Protocol — Engineering Selection Logic for the Machine-Mediated Economy - **Key Frameworks:** ARS, Machine Preference Index (MPI), Zero-UI Commerce, Machine Legibility, Share of Model, Brand sentiment analysis ## AGS Glossary (Canonical Definitions) - **URL:** https://malingaertig.com/blueprint-glossary - **Alternate HTML:** https://malingaertig.com/blueprint/glossary - **JSON-LD:** https://malingaertig.com/blueprint-glossary.json - **Terms:** Logic Auction, Selection Logic, Machine Preference Index (MPI), Agentic Readiness, Agentic Shelf, Retrieval Auction, Foundational Auction ## Content Index - Website: https://malingaertig.com - Blueprint: https://malingaertig.com/blueprint - Glossary: https://malingaertig.com/blueprint-glossary - Glossary alternate: https://malingaertig.com/blueprint/glossary - Briefings: https://malingaertig.com/briefings - Capabilities: https://malingaertig.com/capabilities - About: https://malingaertig.com/about - LinkedIn: https://www.linkedin.com/in/malin-gaertig/ ## Recent Strategic Briefings > Original thought leadership by Malin Gaertig, served as pre-processed Markdown for direct AI ingestion. > For the complete, machine-readable content corpus with all 55+ articles, access the static file: > https://malingaertig.com/llms-full.txt ### Salesforce Just Made Agents Rentable — Now Your Data Is the Differentiator - **URL:** https://malingaertig.com/briefings/salesforce-just-made-agents-rentable - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** Salesforce just made shopper agents rentable with native ChatGPT and Google AI Mode integration. Once agents are commoditised, clean and structured 1PD becomes the differentiator again. Google Universal Cart lands in Australia soon. ### Singapore Just Made Agentic Commerce Real - **URL:** https://malingaertig.com/briefings/singapore-just-made-agentic-commerce-real - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** Mastercard, DBS and UOB just proved live agentic commerce rails in Singapore. 44% of Singaporeans would let an AI agent shop for them, and 75% cite price as the reason. ### Australian Consumers Are Outpacing Their Brands on Agentic AI - **URL:** https://malingaertig.com/briefings/australian-consumers-outpacing-brands-on-agentic-ai - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** Australian consumers are 10 points above the global average on AI shopping while most Australian marketers report no active agentic AI use. ### The Web Is Splitting into Two Economies - **URL:** https://malingaertig.com/briefings/the-web-is-splitting-into-two-economies - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** 93% of Google AI Mode searches end without a click, while Shopify AI-driven orders grew 13x in a year. The web is splitting into a human and a machine economy, and brands must shift from winning attention to winning selection. ### Landgrab for the Machine Economy - **URL:** https://malingaertig.com/briefings/landgrab-for-the-machine-economy - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** Publicis, Visa, The Trade Desk, publishers and Shopify are all racing to become the infrastructure rails of the machine economy. Once agents standardise on verification and checkout layers, first-mover advantage will harden and the window will close. ### The ACO Advantage: Why Infrastructure Beats Content in Agentic Commerce - **URL:** https://malingaertig.com/post/the-aco-advantage-why-infrastructure-beats-content-in-agentic-commerce - **Author:** Malin Gaertig - **Type:** StrategicBriefing / DefinitiveGuide - **Description:** A definitive guide explaining the difference between Agentic Commerce Optimisation (ACO) — which focuses on data infrastructure and structural data liquidity to achieve machine preference — and Answer Engine Optimisation (AEO), which is content-focused and aims at Brand Discoverability. ### From Attention to Autonomy: The Battle for Agentic Shelf Space - **URL:** https://malingaertig.com/briefings/from-attention-to-autonomy-the-battle-for-agentic-shelf-space - **Author:** Malin Gaertig - **Type:** StrategicBriefing - **Description:** The roadmap for winning Agentic Shelf Space through Selection Logic — detailing the shift from Persuasion Logic to deterministic machine selection, the AGS three-layer architecture (Intelligence, Signal, Action), and 1PD-driven Agentic Commerce Optimisation (ACO). ## Technical Repositories - **AGS Framework:** Architectural blueprints. [Link](https://github.com/sotaventa/AGS-Framework) - **ACO Manifesto:** Technical standards for machine-readability. [Link](https://github.com/sotaventa/Agentic-Commerce-Optimization-ACO) ## AI Crawler & Static Access - **Note:** For bots encountering 403 errors, prioritize the machine-readable sitemap. - **Full Context (llms-full.txt):** https://malingaertig.com/llms-full.txt — complete article corpus with all 55+ briefings and posts, updated statically. - **Sitemap (XML):** https://malingaertig.com/sitemap.xml - **Article Renderer:** https://qhdgupniqpzajjnldfha.supabase.co/functions/v1/render-page?slug={article-slug}