A dual-surface website still has an order
Scott Brinker’s dual-surface website is the right picture. But its agent half is a sequence, not a menu: discovery decides which brands an agent considers, and only then are a brand’s services called.
Agentic Landmark · The Brief
geo
Briefs tagged geo in The Landmark Brief.
Google wrote the questions down
Google has published six optional Merchant Center fields that tell its conversational surfaces what to know about a product. What each one carries, which to fill first, and the rule that keeps the feed from replacing the page: the values have to match.
The better shoe lost the recommendation
In a recorded test on fictional storefronts, an AI shopping agent passed over the highest-rated shoe in five of five runs. Its specs were in an image. This Brief covers the structural floor under every discovery channel, and the free instrument that reads it.
500,000 SKUs Is Not an SEO Problem
Think with Google told brands that foundational SEO remains the formula for AI search visibility. In the same article, DoorDash describes integrating 500,000 SKUs with merchant-level availability so Gemini knows what is actually in stock. The example refutes the headline.
Citation Share Is Not a Metric Yet
McKinsey published two figures for brand-owned share of LLM citations eight months apart. They differ five-fold, and the firm reconciles neither. The gap is not a scandal. It is what happens when an industry builds a capability around a number nobody can measure twice.
Being cited is not being usable
Most agent-ready advice collapses two different problems into one. Being cited and being usable run on different infrastructure, fail in different ways, and must be fixed in a fixed order. A map of the four-standard stack, from robots.txt to WebMCP, and why the sequence is the argument.
What It Means to Be a Machine-Readable Brand
Every brand spent years learning to be memorable to humans. The next decade is about being legible to machines, not the same skill. A machine-readable brand is not good SEO or a chatbot. It is identity, claims, and offerings as structured data an agent can retrieve and reason from.
Palmata measures how agents describe you. Not whether they can buy from you.
Contentful's Palmata makes one thing measurable: how answer engines represent your brand, past visibility into why and what to change. The measurement layer for AI discovery is now a category, not a feature. But it measures representation, not transactability, and that instrument does not exist yet.
Google says you don't need llms.txt. Google is also checking for it.
Google says you do not need llms.txt for Search, and it just added a Lighthouse check for it. Both are true, because they answer to different audiences. It is not a search signal; it is an agent signal, the site's way of telling a browser agent where to start. Google is now measuring both.
Google Says You Are Overthinking AI Search. For Google Search, Yes. For Agent Commerce, No.
Google's new guidance says you are overthinking AI search, no llms.txt, no AI-specific pages, no overfocus on structured data. For Google's own search features, that is right. For an agent querying your catalog through ACP or UCP, it is the opposite.
Strategy and infrastructure for brands navigating the Agentic Web
AgenticLandmark.com · 2026 · Privacy