Machine-first semantic architecture
Structure a site so that search engines and AI systems correctly understand the offering, the relationships and the information hierarchy.
Founder
Founder of Pagup, on-page SEO consultant and semantic architect. I help organizations structure their content, websites and interactions with search engines, AI systems and agents.
My work combines strategic consulting, audits, design and development. It includes advanced SEO, interpretive governance, analysis of AI-generated representations and conclusions, machine-first architecture and the preparation of verifiable agent journeys. I also design software tools and components: these practical projects inform my consulting work and make questions of identity, context, permissions and output fidelity concrete.
Pagup is a digital readability and agentic readiness firm. It designs and governs digital presences that humans, search engines and AI systems can understand, and that autonomous agents can navigate and use reliably.
Based in Quebec. Author of the corpus published on gautierdorval.com (doctrine), author and architect of the interpretive-governance.org framework (standard), author of the interpretive SEO concept and initiator of InferensLab (research).

Expertise
Structure a site so that search engines and AI systems correctly understand the offering, the relationships and the information hierarchy.
Clarify how persons, brands and organizations are identified to reduce confusion in knowledge graphs and generative responses.
Publish scopes, source hierarchies and verifiable machine-first artefacts that reduce unsupported inferences, without claiming control over the internal behaviour of third-party AI systems.
Connect understanding, journeys, actions and states so autonomous agents can use a digital presence reliably, without confusing this capability with a guarantee of third-party behaviour.
Beyond ranking: work on the conditions under which AI systems attribute, understand and cite your offering, without guaranteeing an outcome. interpretive-seo.org
Translate strategy into a site, machine surfaces and verifiable proof. This site is a direct demonstration.
Background
The starting point is not a buzzword. It is a straightforward observation: since 2022, a site is no longer read by two agents (humans + Google) but by four (humans, search engines, generative AI, autonomous agents). Each layer reads differently. A site built for a single layer is, by definition, misunderstood by the other three.
Traditional SEO covers one layer. Content marketing covers another. Neither governs the consistency across all reading layers. That is the gap interpretive SEO and interpretive governance fill.
My work combines three disciplines that rarely speak to each other: semantic architecture (structuring a corpus so it is understandable), interpretive governance (defining what can legitimately be inferred from your assets and making discrepancies observable) and web execution (translating all of that into a site, machine surfaces and verifiable proof).
An authored corpus of several hundred original texts on gautierdorval.com, counted without their translations. A versioned formal standard on interpretive-governance.org. Research programs and protocols documented with their evidence states on InferensLab. My current work includes Governed Context Runtime, which I design and develop, and the design of PAGUP Agent Control, a Pagup product.
Ecosystem
Pagup is the visible face of a broader body of work: a corpus of several hundred texts, a formal standard, a public research laboratory and concrete tools.
Pagup.com
Pagup is the ecosystem’s commercial execution layer and a digital readability and agentic readiness firm. Consulting, audits, diagnostics, rebuilds, governance and agentic readiness become concrete services here, with outcomes and deliverables defined by each engagement.
gautierdorval.com
My authored corpus: several hundred original texts (articles, definitions, clarifications and frameworks) on AI interpretation, semantic risk and governance. The foundational thinking that feeds everything else.
Visit gautierdorval.cominterpretive-seo.org
The applied framework for interpretive SEO, a concept I authored: how to make what systems understand and cite from your online presence more stable.
Visit interpretive-seo.orginterpretive-governance.org
The formal standard for interpretive governance, which I authored and designed. Policies, constraints and verifiable artifacts, all versioned and public.
Visit interpretive-governance.orgInferensLab.org
A public research laboratory I initiated: bounded programs, preregistered protocols and evidence states. It is separate from Pagup’s commercial offering, but it is not an external evaluation of my own work.
Visit InferensLabWordPress products, public GitHub repositories and all web properties are gathered on a dedicated page.
How it works
Pagup is a specialized practice, not a packaged agency. Depending on the need, an engagement may take the form of a consultation, workshop, audit, advisory engagement or technical implementation. It is led directly by the founder, from initial scoping to the agreed conclusion.
Every engagement is conducted personally. No middleman, no hidden subcontracting. You work with the person who designed the method.
This model limits the number of concurrent engagements. In return, each intervention receives the structural attention it deserves.
The working arrangements and expected outcomes depend on the engagement. Technical work may produce a documented architecture, components, published resources and verification records. An audit produces analysis and qualified conclusions. A consultation or workshop may focus on decisions, trade-offs and agreed next steps.
Location
PagupPublications
A series of publications exploring how web architecture shapes what AI systems understand about your organization.
Main series
Interpretive SEO
The diagnostic is the best entry point to see if our approach matches your situation. We frame the problem, identify what deserves to be addressed, and you decide what comes next.