▶ AEO · S6E129 · 1:02:45 · July 27, 2026
Agentic Commerce & llms.txt: What SEOs Must Know to Get Chosen by AI with Alex Moss
Guest:
Alex Moss, Principal SEO & Product Innovator at Yoast | Co-Founder of FireCask
Hosts: Jon Clark & Joe DeVita
about this episode
Alex Moss, principal SEO at Yoast and co-founder of FireCask, joins Jon Clark and Joe DeVita to unpack what it takes to be chosen by an AI agent: concise, quotable content, clear entity relationships, structured data, and a single machine-readable source of truth on your own domain. He calls the discipline “token optimization” — making information load faster for models the way Core Web Vitals made pages load faster for people. Alex also breaks down the standards war behind Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — llms.txt, agents.md, Google’s UCP and OKF, OpenAI’s ACP — and why the tech for agentic commerce is ready even if consumers aren’t. His advice is refreshingly practical: experiment, follow the engineers building these systems, and adopt one standard at a time.
In This Episode
- How Yoast decides which SEO defaults ship on — and why schema stays gated behind an API
- Why markdown beats HTML for LLM ingestion (an 80% token reduction on one real example)
- What does it actually mean to be “selected” by an AI agent instead of clicked?
- Is llms.txt worth adopting now? Alex’s insurance-policy framework for unproven standards
- The Walmart–ChatGPT experiment and Alex’s timeline for real agentic commerce adoption
- AI information pages, entity maps, and building a source of truth machines can trust
- The team you’d hire to launch an agentic-commerce-ready eCommerce brand today
Whether you’re placing bets on llms.txt or ignoring the acronyms entirely, this conversation gives you a working framework for which AI-search standards deserve your time.
Connect with Alex Moss
Chapters
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0:00
Intro
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2:00
Meet Alex Moss of Yoast
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6:06
How Yoast decides default settings
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9:22
Why Yoast gates schema behind an API
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13:43
Most neglected Yoast features
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16:04
Content analysis and editorial standards
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18:50
Why markdown beats HTML for agents
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23:01
Are websites dead?
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27:53
What is llms.txt actually for?
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30:38
Why agentic commerce adoption is slow
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36:20
What does AI selection require?
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41:21
AI information pages and entity maps
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46:12
How models discover llms.txt
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48:00
Sponsor break
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49:10
Building an agentic commerce team
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57:26
Rapid-fire questions
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1:00:00
What agency owners should say no to
Resources mentioned
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llms.txt proposal
llms.txt proposal
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NLWeb
NLWeb (Microsoft, RV Guha)
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Entity SEO Tools
InLinks Entity Map (Dixon Jones)
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WordLift
WordLift (Andrea Volpini)
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Schema
Schema.org
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Shopify
Shopify
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Woocommerce
Woocommerce
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Cloudflare Markdown
Cloudflare Markdown /crawl endpoint & content negotiation
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Astro
Astro
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Brighton SEO
Brighton SEO