Governance artifacts
Governance files brought into scope by this page
This page is anchored to published surfaces that declare identity, precedence, limits, and the corpus reading conditions. Their order below gives the recommended reading sequence.
Canonical AI entrypoint
/.well-known/ai-governance.json
Neutral entrypoint that declares the governance map, precedence chain, and the surfaces to read first.
- Governs
- Access order across surfaces and initial precedence.
- Bounds
- Free readings that bypass the canon or the published order.
Does not guarantee: This surface publishes a reading order; it does not force execution or obedience.
Public AI manifest
/ai-manifest.json
Structured inventory of the surfaces, registries, and modules that extend the canonical entrypoint.
- Governs
- Access order across surfaces and initial precedence.
- Bounds
- Free readings that bypass the canon or the published order.
Does not guarantee: This surface publishes a reading order; it does not force execution or obedience.
LLMs.txt
/llms.txt
Short discovery surface that points systems toward the useful machine-first entry surfaces.
- Governs
- Discoverability, crawl orientation, and the mapping of published surfaces.
- Bounds
- Incomplete readings that ignore structure, routes, or the preferred markdown surface.
Does not guarantee: A good discovery surface improves access; it is not sufficient on its own to govern reconstruction.
For a long time, the web was treated as a consultation space. A human visited a page, read content, assessed an offer, and then decided to act. The search engine explored the document, extracted signals, and ranked results.
The agentic web introduces a third dynamic. An agent can receive a goal, open a site, interpret the interface, choose a path, fill a field, click a button, or compare multiple options. The site no longer only informs. It becomes an environment where an action can be prepared or executed.
Google’s public documentation on AI agents and site user experience makes that shift explicit. The important point is not to copy a checklist. The important point is conceptual: a new class of visitor appears, capable of seeing, reading, and acting.
What really changes
Classic technical SEO asks: is the page accessible, fast, structured, indexable, and understandable?
The agentic web adds: is the interface interpretable, stable, and actionable?
That difference sounds subtle, but it is substantial. A page can be perfectly indexable and remain poor for an agent. If the primary button is an opaque component, if the form does not expose its labels, if critical content arrives after late hydration, or if the layout moves between observation and click, the agentic path becomes fragile.
The agent does not only read text. It must understand a scene of action.
The site becomes a grammar of action
A web page now transmits several layers at once:
- a documentary layer: headings, paragraphs, lists, links, structured data;
- a visual layer: size, proximity, contrast, hierarchy, groupings;
- an interactional layer: buttons, forms, states, errors, confirmations;
- a programmatic layer: DOM, roles, accessible names, relationships, events;
- a governance layer: canonicals, exclusions, policies, perimeters, evidence.
An agent must recompose these layers to determine what is possible, legitimate, and useful. If a layer is missing, it infers. The more it infers, the higher the risk of wrong action.
Why the agentic web exceeds traditional SEO
SEO makes a page readable for discovery. The agentic web requires a page to be readable for execution.
That is the difference between finding a booking page and booking correctly. Between finding a service page and understanding which request can be submitted. Between reading a product card and associating the right CTA with the right product, variant, price, and policy.
The old web tolerated a lot of implicit context. The agentic web tolerates less of it, because implicit context becomes a zone of automated decision.
The role of Dual Web
Dual Web already separated the human surface from the machine-first surface. The agentic web forces a third layer: the agentic surface.
This surface is neither purely human nor purely documentary. It connects vision, structure, and action. It requires displayed components to also be understandable by systems that must manipulate them.
That is why the agentic web should be read with agentic navigability and the interpretable interface. The subject is not only content. It is the interface’s ability to declare its intentions.
The new requirement
A good site will not only be crawled. It will be manipulated.
That does not mean every site must become transactional, or that every agent should be allowed to do everything. It means available actions must be explicitly named, correctly bounded, and structurally stable.
The agentic web therefore shifts design work. It is no longer enough to ask whether the page is beautiful, fast, and indexable. We must ask whether an autonomous system can act on it without inventing the missing context.