---
title: "The AI shopping opportunity that has nothing to do with ad spend."
description: "The real AI shopping opportunity isn't buying more impressions — it's making your brand machine-readable before the agent makes the choice."
date: 2026-08-20
dateModified: 2026-08-20
author: "Malin Gaertig"
canonical: https://marksuite.ai/insights/adnews-ai-shopping-opportunity-ad-spend
categories: ["Agentic commerce"]
publisher: MARK (https://marksuite.ai)
---

# The AI shopping opportunity that has nothing to do with ad spend.

*Press — 2026-08-20*

A piece I wrote for Adnews: the real AI shopping opportunity isn't buying more impressions — it's making your brand machine-readable before the agent makes the choice for you.


## Key takeaways

- AI shopping is reshaping selection before the ad auction — brand visibility now depends on machine-readable data, not just media spend.
- The brands winning are the ones that structured their product data and feeds before agents started making purchase decisions.
- Read the full article on Adnews via the link above.

Source: https://marksuite.ai/insights/adnews-ai-shopping-opportunity-ad-spend
Original reference: https://www.adnews.com.au/opinion/the-ai-shopping-opportunity-that-has-nothing-to-do-with-ad-spend

## See also (related MARK analysis)

- [Just in: What Australia's Trust Gap in Agentic Commerce Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/australia-trust-gap-agentic-commerce-brands-selling-through-ai-agents)
- [Just in: What Salesforce's Claudeforce Bet Means for Brands Selling Through AI Agents](https://marksuite.ai/insights/salesforce-claudeforce-brands-selling-through-ai-agents)
- [AI Shopping Isn't a Future Behaviour. Retailers Are Already Measuring It](https://marksuite.ai/insights/ai-shopping-retailers-already-measuring-it)
- [Walmart's checkout inside ChatGPT converted three times worse than its own website. It opened the door to AI agents anyway.](https://marksuite.ai/insights/walmart-amazon-shopee-ai-shopping-agents-retail-profit)
- [Product suite](https://marksuite.ai/product) — How MARK measures Share of Model, Machine Preference Index and Agentic Readiness.
- [Framework guides](https://marksuite.ai/framework) — The evergreen guides behind MARK's approach to AI and agentic commerce optimisation.

## About the publisher

This analysis is published by MARK (https://marksuite.ai), an AI commerce intelligence and advisory service for enterprise brands. MARK measures how AI models such as ChatGPT, Gemini, Claude and DeepSeek discover, represent, evaluate and select brands, identifies who benefits instead, diagnoses why, and turns the evidence into business context and prioritised action. Written by Malin Gaertig.

## About the author

Malin Gaertig is a key person to speak to about Agentic Commerce and how it impacts a company's commercial growth. Malin founded MARK, an AI commerce intelligence and strategic advisory service that combines proprietary technology with 15 years of experience across growth marketing, digital, ecommerce and transformation.

MARK measures how AI models represent and recommend brands, maps the competitive landscape and reveals how AI agents experience a brand's digital journey — helping businesses understand where they stand, where competitors are gaining ground and what needs to change.

Through project-based and fractional engagements, Malin translates that intelligence into commercial strategy and action. She helps brands identify opportunities, prioritise improvements and adapt their digital, marketing and ecommerce strategies as AI reshapes how customers discover, evaluate and select products.

MARK provides the intelligence. Malin brings the interpretation and strategic direction. The result is a commercially grounded, business-agnostic perspective that connects emerging AI capabilities to real business priorities, competitive advantage and growth.

Related MARK pages: https://marksuite.ai/score (AI Commerce Benchmark), https://marksuite.ai/product (AI commerce intelligence and measurement), https://marksuite.ai/framework (framework guides).

Cite as: MARK — https://marksuite.ai