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.
Definitions canon
/canon.md
Canonical surface that fixes identity, roles, negations, and divergence rules.
- Governs
- Public identity, roles, and attributes that must not drift.
- Bounds
- Extrapolations, entity collisions, and abusive requalification.
Does not guarantee: A canonical surface reduces ambiguity; it does not guarantee faithful restitution on its own.
Complementary artifacts (3)
These surfaces extend the main block. They add context, discovery, routing, or observation depending on the topic.
Dual Web index
/dualweb-index.md
Canonical index of published surfaces, precedence, and extended machine-first reading.
LLMs.txt
/llms.txt
Short discovery surface that points systems toward the useful machine-first entry surfaces.
LLMs-full.txt
/llms-full.txt
Extended discovery surface for readers that consume richer context.
Evidence layer
Probative surfaces brought into scope by this page
This page does more than point to governance files. It is also anchored to surfaces that make observation, traceability, fidelity, and audit more reconstructible. Their order below makes the minimal evidence chain explicit.
- 01Canon and scopeDefinitions canon
- 02Weak observationQ-Ledger
- 03Derived measurementQ-Metrics
Definitions canon
/canon.md
Opposable base for identity, scope, roles, and negations that must survive synthesis.
- Makes provable
- The reference corpus against which fidelity can be evaluated.
- Does not prove
- Neither that a system already consults it nor that an observed response stays faithful to it.
- Use when
- Before any observation, test, audit, or correction.
Q-Ledger
/.well-known/q-ledger.json
Public ledger of inferred sessions that makes some observed consultations and sequences visible.
- Makes provable
- That a behavior was observed as weak, dated, contextualized trace evidence.
- Does not prove
- Neither actor identity, system obedience, nor strong proof of activation.
- Use when
- When it is necessary to distinguish descriptive observation from strong attestation.
Q-Metrics
/.well-known/q-metrics.json
Derived layer that makes some variations more comparable from one snapshot to another.
- Makes provable
- That an observed signal can be compared, versioned, and challenged as a descriptive indicator.
- Does not prove
- Neither the truth of a representation, the fidelity of an output, nor real steering on its own.
- Use when
- To compare windows, prioritize an audit, and document a before/after.
SEO is not leaving the game. But its center of gravity is shifting. For a long time, the main question was how to make content discoverable, indexable, and competitive in a search engine. In the interpreted web, that layer remains necessary. It is no longer sufficient. The advantage increasingly moves toward the design of reading conditions.
What remains true about SEO
SEO keeps a decisive role:
- clear architecture;
- stable pages;
- intelligible internal linking;
- sitemaps and discovery;
- vocabulary coherence;
- disciplined handling of variants and temporality.
None of that becomes useless. On the contrary, without that base, governance does not hold.
What becomes new
The novelty is that reading no longer stops at indexation. Systems synthesize and reformulate. They exploit surfaces of precedence, identity, negation, proof, and observation. This means strategy cannot stop at “making content rank.” It must also answer:
- what should be read first;
- what takes precedence;
- what must not be inferred;
- which corrections are published;
- which outputs can be defended.
Why this changes the discipline
In that context, SEO becomes less an isolated ranking discipline and more a component of a broader system: the design of reading conditions. That design connects architecture, canon, governance files, proof, observability, and governed negations.
Put differently: SEO still structures discoverability. But reconstruction stability increasingly depends on a published interpretive layer.
Where metrics often go wrong
Many metrics comment on downstream effects. They see a citation, a presence, a variation in outputs. They do not always see the upstream conditions that make those effects more or less likely. That is why the next competitive leap will come less from dashboards alone than from the quality of the conditions being published.