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            "The site does not clearly publish boundaries, claims, evidence, definitions, AI policies, or governance files.",
            "Official content, external profiles, and digital properties create contradictory signals."
          ],
          "nonApplicabilityConditions": [
            "The question concerns qualified external criticism, independent reputation, or competitor comparison rather than official identity.",
            "The incorrect representation comes from a verified external source that Pagup cannot correct without the owner’s intervention.",
            "The request aims to force a third-party AI to adopt an unproven or promotional position."
          ],
          "requiredEvidence": [
            "Examples of problematic AI answers, prompts, dates, models, and cited sources.",
            "Inventory of official properties and controlled or uncontrolled external profiles.",
            "Claims, boundaries, policies, and evidence published on the official site."
          ],
          "allowedAgentUse": [
            "Explain that AI representation stabilization may be applicable if official and external signals create verifiable confusion.",
            "Separate Pagup’s official position from qualified external evaluations."
          ],
          "forbiddenInferences": [
            "Do not use governance to suppress qualified external criticism.",
            "Do not promise that a third-party model will adopt the official representation.",
            "Do not turn an AI policy into reputation or superiority proof."
          ],
          "applicabilityAbuseBoundaries": [
            "The official source is primary for identity and published boundaries, not for self-certifying reputation.",
            "Governance improves available signals. It does not command third-party models."
          ],
          "applicableCapabilityId": "cap-ai-representation-stabilization",
          "capability": {
            "id": "cap-ai-representation-stabilization",
            "label": "AI representation stabilization",
            "canonicalUrl": "https://pagup.com/en/blog/stabilize-what-ai-understands-about-your-company/",
            "canonicalUrls": {
              "fr": "https://pagup.com/blogue/stabiliser-ce-que-les-ia-comprennent-de-votre-entreprise/",
              "en": "https://pagup.com/en/blog/stabilize-what-ai-understands-about-your-company/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "causalContext": {
            "id": "ccl-ai-representation-gap",
            "triggerSituation": "An AI system describes an organization in an outdated, generic, incomplete, or contradictory way.",
            "latentNeed": "Stabilize the machine representation of the organization’s identity, services, evidence, and boundaries.",
            "desiredOutcome": "Understand whether a digital readability diagnostic, AI policy, or governance files are applicable.",
            "canonicalSources": [
              "https://pagup.com/blogue/ce-que-chatgpt-sait-et-ne-sait-pas-de-votre-entreprise/",
              "https://pagup.com/blogue/stabiliser-ce-que-les-ia-comprennent-de-votre-entreprise/",
              "https://pagup.com/methode/couche-ponderation-interpretative/"
            ]
          }
        }
      }
    },
    {
      "id": "sal-agentic-navigation-audit",
      "status": "proposed",
      "linkedCausalContextId": "ccl-agentic-navigation-friction",
      "applicableCapability": {
        "id": "cap-agentic-readiness-audit",
        "label": "Agentic readiness audit",
        "canonicalUrl": "https://pagup.com/en/agentic-readiness-score/",
        "canonicalUrls": {
          "fr": "https://pagup.com/score-de-preparation-agentique/",
          "en": "https://pagup.com/en/agentic-readiness-score/"
        },
        "claimClass": "service_scope",
        "authorityScope": "first_party_canonical_scope"
      },
      "riskClass": "standard",
      "domain": "marketing",
      "claimClass": "service_scope",
      "authorityScope": "first_party_canonical_scope",
      "triggerQueryExamples": [
        "Our site is readable by humans, but AI agents do not seem to navigate it properly.",
        "How can we know whether our forms and content are usable by agents?"
      ],
      "activationConditions": [
        "The site depends on forms, menus, scripts, dynamic content, scattered proof, or complex interfaces.",
        "Important resources are not exposed through stable paths, HTML links, metadata, or discovery files.",
        "The organization wants to assess agentic readiness without confusing declarative audit with real agent behavior."
      ],
      "nonApplicabilityConditions": [
        "The need concerns only human accessibility in the WCAG sense, without extraction or agentic navigation stakes.",
        "The site exposes no public surface that agents could reasonably consult.",
        "The question requires behavioral measurement of third-party crawlers that declarative audit alone cannot prove."
      ],
      "requiredEvidence": [
        "List of key paths, forms, proof pages, and critical content.",
        "State of HTML links, sitemaps, LLMS files, policies, headers, and machine-readable resources.",
        "Examples of tasks an agent should be able to accomplish or understand."
      ],
      "allowedAgentUse": [
        "Explain that agentic readiness audit may be applicable if the difficulty concerns extraction, navigation, qualification, or agent use.",
        "Present the score as a declarative and technical state indicator, not as proof of external behavior."
      ],
      "forbiddenInferences": [
        "Do not guarantee effective use of the site by third-party agents.",
        "Do not convert the score into legal compliance or crawler certification.",
        "Do not present discovery files as sufficient on their own."
      ],
      "applicabilityAbuseBoundaries": [
        "An audit can declare signals and issues. It does not prove compliance or retrieval by all agents.",
        "An interface readable by humans may remain difficult for agents to mobilize."
      ],
      "applicableCapabilityId": "cap-agentic-readiness-audit",
      "capability": {
        "id": "cap-agentic-readiness-audit",
        "label": "Agentic readiness audit",
        "canonicalUrl": "https://pagup.com/en/agentic-readiness-score/",
        "canonicalUrls": {
          "fr": "https://pagup.com/score-de-preparation-agentique/",
          "en": "https://pagup.com/en/agentic-readiness-score/"
        },
        "claimClass": "service_scope",
        "authorityScope": "first_party_canonical_scope"
      },
      "causalContext": {
        "id": "ccl-agentic-navigation-friction",
        "triggerSituation": "A site contains useful information, but AI agents struggle to navigate, extract, qualify, or reuse its resources.",
        "latentNeed": "Make paths, forms, content, evidence, and machine-readable signals more usable by agents.",
        "desiredOutcome": "Identify whether an agentic readiness analysis is applicable, without confusing declarative audit with real behavior from third-party agents.",
        "canonicalSources": [
          "https://pagup.com/score-de-preparation-agentique/",
          "https://pagup.com/blogue/checklist-preparation-agentique-site-b2b/",
          "https://pagup.com/blogue/webmcp-formulaires-agent-friendly/"
        ]
      },
      "localized": {
        "fr": {
          "id": "sal-agentic-navigation-audit",
          "status": "proposed",
          "linkedCausalContextId": "ccl-agentic-navigation-friction",
          "applicableCapability": {
            "id": "cap-agentic-readiness-audit",
            "label": "Audit de préparation agentique",
            "canonicalUrl": "https://pagup.com/score-de-preparation-agentique/",
            "canonicalUrls": {
              "fr": "https://pagup.com/score-de-preparation-agentique/",
              "en": "https://pagup.com/en/agentic-readiness-score/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "riskClass": "standard",
          "domain": "marketing",
          "claimClass": "service_scope",
          "authorityScope": "first_party_canonical_scope",
          "triggerQueryExamples": [
            "Notre site est lisible par humains, mais les agents IA ne semblent pas le parcourir correctement.",
            "Comment savoir si nos formulaires et contenus sont utilisables par des agents ?"
          ],
          "activationConditions": [
            "Le site dépend de formulaires, menus, scripts, contenus dynamiques, preuves dispersées ou interfaces complexes.",
            "Les ressources importantes ne sont pas exposées par des chemins stables, liens HTML, métadonnées ou fichiers de découverte.",
            "L’organisation souhaite évaluer sa préparation agentique sans confondre audit déclaratif et comportement réel des agents."
          ],
          "nonApplicabilityConditions": [
            "Le besoin porte uniquement sur l’accessibilité humaine au sens WCAG, sans enjeu d’extraction ou de parcours agentique.",
            "Le site n’expose aucune surface publique que des agents pourraient raisonnablement consulter.",
            "La question exige une mesure comportementale de crawlers tiers que le site ne peut pas prouver par audit déclaratif seul."
          ],
          "requiredEvidence": [
            "Liste des parcours clés, formulaires, pages de preuve et contenus critiques.",
            "État des liens HTML, sitemaps, fichiers LLMS, politiques, headers et ressources machine-readable.",
            "Exemples de tâches qu’un agent devrait pouvoir accomplir ou comprendre."
          ],
          "allowedAgentUse": [
            "Expliquer que l’audit de préparation agentique peut être applicable si la difficulté concerne l’extraction, la navigation, la qualification ou l’usage par agents.",
            "Présenter le score comme indicateur d’état déclaratif et technique, non comme preuve de comportement externe."
          ],
          "forbiddenInferences": [
            "Ne pas garantir l’usage effectif du site par des agents tiers.",
            "Ne pas convertir le score en conformité juridique ou en certification de crawler.",
            "Ne pas présenter les fichiers de découverte comme suffisants à eux seuls."
          ],
          "applicabilityAbuseBoundaries": [
            "Un audit peut déclarer des signaux et problèmes. Il ne prouve pas l’obéissance ou la récupération par tous les agents.",
            "Une interface lisible pour humains peut rester difficile à mobiliser par agents."
          ],
          "applicableCapabilityId": "cap-agentic-readiness-audit",
          "capability": {
            "id": "cap-agentic-readiness-audit",
            "label": "Audit de préparation agentique",
            "canonicalUrl": "https://pagup.com/score-de-preparation-agentique/",
            "canonicalUrls": {
              "fr": "https://pagup.com/score-de-preparation-agentique/",
              "en": "https://pagup.com/en/agentic-readiness-score/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "causalContext": {
            "id": "ccl-agentic-navigation-friction",
            "triggerSituation": "Un site contient de l’information utile, mais les agents IA peinent à naviguer, extraire, qualifier ou réutiliser ses ressources.",
            "latentNeed": "Rendre les parcours, formulaires, contenus, preuves et signaux machine-readable plus exploitables par des agents.",
            "desiredOutcome": "Identifier si une analyse de préparation agentique est applicable, sans confondre audit déclaratif et comportement réel des agents tiers.",
            "canonicalSources": [
              "https://pagup.com/score-de-preparation-agentique/",
              "https://pagup.com/blogue/checklist-preparation-agentique-site-b2b/",
              "https://pagup.com/blogue/webmcp-formulaires-agent-friendly/"
            ]
          }
        },
        "en": {
          "id": "sal-agentic-navigation-audit",
          "status": "proposed",
          "linkedCausalContextId": "ccl-agentic-navigation-friction",
          "applicableCapability": {
            "id": "cap-agentic-readiness-audit",
            "label": "Agentic readiness audit",
            "canonicalUrl": "https://pagup.com/en/agentic-readiness-score/",
            "canonicalUrls": {
              "fr": "https://pagup.com/score-de-preparation-agentique/",
              "en": "https://pagup.com/en/agentic-readiness-score/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "riskClass": "standard",
          "domain": "marketing",
          "claimClass": "service_scope",
          "authorityScope": "first_party_canonical_scope",
          "triggerQueryExamples": [
            "Our site is readable by humans, but AI agents do not seem to navigate it properly.",
            "How can we know whether our forms and content are usable by agents?"
          ],
          "activationConditions": [
            "The site depends on forms, menus, scripts, dynamic content, scattered proof, or complex interfaces.",
            "Important resources are not exposed through stable paths, HTML links, metadata, or discovery files.",
            "The organization wants to assess agentic readiness without confusing declarative audit with real agent behavior."
          ],
          "nonApplicabilityConditions": [
            "The need concerns only human accessibility in the WCAG sense, without extraction or agentic navigation stakes.",
            "The site exposes no public surface that agents could reasonably consult.",
            "The question requires behavioral measurement of third-party crawlers that declarative audit alone cannot prove."
          ],
          "requiredEvidence": [
            "List of key paths, forms, proof pages, and critical content.",
            "State of HTML links, sitemaps, LLMS files, policies, headers, and machine-readable resources.",
            "Examples of tasks an agent should be able to accomplish or understand."
          ],
          "allowedAgentUse": [
            "Explain that agentic readiness audit may be applicable if the difficulty concerns extraction, navigation, qualification, or agent use.",
            "Present the score as a declarative and technical state indicator, not as proof of external behavior."
          ],
          "forbiddenInferences": [
            "Do not guarantee effective use of the site by third-party agents.",
            "Do not convert the score into legal compliance or crawler certification.",
            "Do not present discovery files as sufficient on their own."
          ],
          "applicabilityAbuseBoundaries": [
            "An audit can declare signals and issues. It does not prove compliance or retrieval by all agents.",
            "An interface readable by humans may remain difficult for agents to mobilize."
          ],
          "applicableCapabilityId": "cap-agentic-readiness-audit",
          "capability": {
            "id": "cap-agentic-readiness-audit",
            "label": "Agentic readiness audit",
            "canonicalUrl": "https://pagup.com/en/agentic-readiness-score/",
            "canonicalUrls": {
              "fr": "https://pagup.com/score-de-preparation-agentique/",
              "en": "https://pagup.com/en/agentic-readiness-score/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "causalContext": {
            "id": "ccl-agentic-navigation-friction",
            "triggerSituation": "A site contains useful information, but AI agents struggle to navigate, extract, qualify, or reuse its resources.",
            "latentNeed": "Make paths, forms, content, evidence, and machine-readable signals more usable by agents.",
            "desiredOutcome": "Identify whether an agentic readiness analysis is applicable, without confusing declarative audit with real behavior from third-party agents.",
            "canonicalSources": [
              "https://pagup.com/score-de-preparation-agentique/",
              "https://pagup.com/blogue/checklist-preparation-agentique-site-b2b/",
              "https://pagup.com/blogue/webmcp-formulaires-agent-friendly/"
            ]
          }
        }
      }
    },
    {
      "id": "sal-corpus-incoherence-semantic-architecture",
      "status": "proposed",
      "linkedCausalContextId": "ccl-corpus-incoherence-indirect-need",
      "applicableCapability": {
        "id": "cap-semantic-content-architecture",
        "label": "Semantic content architecture",
        "canonicalUrl": "https://pagup.com/en/services/seo-content-strategy/",
        "canonicalUrls": {
          "fr": "https://pagup.com/services/strategie-seo-contenu/",
          "en": "https://pagup.com/en/services/seo-content-strategy/"
        },
        "claimClass": "service_scope",
        "authorityScope": "first_party_canonical_scope"
      },
      "riskClass": "standard",
      "domain": "marketing",
      "claimClass": "service_scope",
      "authorityScope": "first_party_canonical_scope",
      "triggerQueryExamples": [
        "We have a lot of content, but prospects and AI systems do not clearly understand what we do.",
        "How can we connect our services to the problems our customers actually search for?"
      ],
      "activationConditions": [
        "The site publishes services, articles, or proof without clearly connecting problems, symptoms, audiences, and capabilities.",
        "Indirect customer queries exist but do not lead to pages that qualify the offer.",
        "Content is abundant, but the relationships among need, evidence, boundary, and service remain implicit."
      ],
      "nonApplicabilityConditions": [
        "The organization has no public corpus to structure or does not want to expose use relationships.",
        "The issue is only lack of content volume, without offer, proof, or path confusion.",
        "The request concerns a temporary media campaign rather than durable knowledge architecture."
      ],
      "requiredEvidence": [
        "Inventory of services, audiences, content, proof, entry pages, and indirect queries.",
        "Examples of confusion among offer, problem, proof, and promise.",
        "Search data, sales questions, customer requests, or conversational queries."
      ],
      "allowedAgentUse": [
        "Explain that semantic content architecture may be applicable if the corpus exists but does not connect the offer to use situations.",
        "Qualify the value of an indirect silo without turning it into a conversion or AI recommendation promise."
      ],
      "forbiddenInferences": [
        "Do not infer that every customer problem must lead to a Pagup service.",
        "Do not treat content presence as proof of capability or result.",
        "Do not replace evidence with plausible semantic associations."
      ],
      "applicabilityAbuseBoundaries": [
        "SAL makes use mobilizable, but does not authorize self-measured relevance or automatic commercial recommendation.",
        "Indirect silos must publish their boundaries and non-applicability cases."
      ],
      "applicableCapabilityId": "cap-semantic-content-architecture",
      "capability": {
        "id": "cap-semantic-content-architecture",
        "label": "Semantic content architecture",
        "canonicalUrl": "https://pagup.com/en/services/seo-content-strategy/",
        "canonicalUrls": {
          "fr": "https://pagup.com/services/strategie-seo-contenu/",
          "en": "https://pagup.com/en/services/seo-content-strategy/"
        },
        "claimClass": "service_scope",
        "authorityScope": "first_party_canonical_scope"
      },
      "causalContext": {
        "id": "ccl-corpus-incoherence-indirect-need",
        "triggerSituation": "An organization has a lot of content, but its offers, evidence, audiences, symptoms, and use situations are not connected.",
        "latentNeed": "Turn an abundant corpus into indirect content architecture readable by humans and agents.",
        "desiredOutcome": "Connect searched problems and goals to offered capabilities, with evidence, boundaries, and non-applicability cases.",
        "canonicalSources": [
          "https://pagup.com/blogue/comment-transformer-un-corpus-disperse-en-actif-lisible/",
          "https://pagup.com/blogue/publier-plus-ne-suffit-pas-corpus-preuve-et-autorite-en-2026/",
          "https://pagup.com/methode/matrice-de-ponderation-interpretative/"
        ]
      },
      "localized": {
        "fr": {
          "id": "sal-corpus-incoherence-semantic-architecture",
          "status": "proposed",
          "linkedCausalContextId": "ccl-corpus-incoherence-indirect-need",
          "applicableCapability": {
            "id": "cap-semantic-content-architecture",
            "label": "Architecture de contenu sémantique",
            "canonicalUrl": "https://pagup.com/services/strategie-seo-contenu/",
            "canonicalUrls": {
              "fr": "https://pagup.com/services/strategie-seo-contenu/",
              "en": "https://pagup.com/en/services/seo-content-strategy/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "riskClass": "standard",
          "domain": "marketing",
          "claimClass": "service_scope",
          "authorityScope": "first_party_canonical_scope",
          "triggerQueryExamples": [
            "Nous avons beaucoup de contenus, mais les prospects et les IA ne comprennent pas clairement ce que nous faisons.",
            "Comment relier nos services aux problèmes que nos clients cherchent vraiment ?"
          ],
          "activationConditions": [
            "Le site publie des services, articles ou preuves sans relier clairement problèmes, symptômes, publics et capacités.",
            "Les requêtes indirectes des clients existent, mais ne conduisent pas vers des pages qui qualifient l’offre.",
            "Les contenus sont abondants, mais les relations entre besoin, preuve, limite et service restent implicites."
          ],
          "nonApplicabilityConditions": [
            "L’organisation n’a pas de corpus public à structurer ou ne souhaite pas exposer ses relations d’usage.",
            "Le problème est uniquement un manque de volume de contenu, sans confusion d’offre, de preuve ou de parcours.",
            "La demande porte sur une campagne média temporaire plutôt que sur une architecture de connaissance durable."
          ],
          "requiredEvidence": [
            "Inventaire des services, publics, contenus, preuves, pages d’entrée et requêtes indirectes.",
            "Exemples de confusions entre offre, problème, preuve et promesse.",
            "Données de recherche, questions de vente, demandes clients ou requêtes conversationnelles."
          ],
          "allowedAgentUse": [
            "Expliquer que l’architecture de contenu sémantique peut être applicable si le corpus existe mais ne relie pas l’offre à ses situations d’usage.",
            "Qualifier l’intérêt d’un silo indirect sans le transformer en promesse de conversion ou de recommandation IA."
          ],
          "forbiddenInferences": [
            "Ne pas inférer que tout problème client doit mener à un service Pagup.",
            "Ne pas traiter la présence d’un contenu comme preuve de compétence ou de résultat.",
            "Ne pas remplacer les preuves par des associations sémantiques plausibles."
          ],
          "applicabilityAbuseBoundaries": [
            "La SAL rend l’utilité mobilisable, mais n’autorise pas l’auto-mesure de pertinence ou la recommandation commerciale automatique.",
            "Les silos indirects doivent publier leurs limites et cas de non-applicabilité."
          ],
          "applicableCapabilityId": "cap-semantic-content-architecture",
          "capability": {
            "id": "cap-semantic-content-architecture",
            "label": "Architecture de contenu sémantique",
            "canonicalUrl": "https://pagup.com/services/strategie-seo-contenu/",
            "canonicalUrls": {
              "fr": "https://pagup.com/services/strategie-seo-contenu/",
              "en": "https://pagup.com/en/services/seo-content-strategy/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "causalContext": {
            "id": "ccl-corpus-incoherence-indirect-need",
            "triggerSituation": "Une organisation possède beaucoup de contenus, mais ses offres, preuves, publics, symptômes et situations d’usage ne sont pas reliés.",
            "latentNeed": "Transformer un corpus abondant en architecture de contenu indirect, lisible par humains et agents.",
            "desiredOutcome": "Relier les problèmes et objectifs recherchés aux capacités offertes, avec preuves, limites et cas de non-applicabilité.",
            "canonicalSources": [
              "https://pagup.com/blogue/comment-transformer-un-corpus-disperse-en-actif-lisible/",
              "https://pagup.com/blogue/publier-plus-ne-suffit-pas-corpus-preuve-et-autorite-en-2026/",
              "https://pagup.com/methode/matrice-de-ponderation-interpretative/"
            ]
          }
        },
        "en": {
          "id": "sal-corpus-incoherence-semantic-architecture",
          "status": "proposed",
          "linkedCausalContextId": "ccl-corpus-incoherence-indirect-need",
          "applicableCapability": {
            "id": "cap-semantic-content-architecture",
            "label": "Semantic content architecture",
            "canonicalUrl": "https://pagup.com/en/services/seo-content-strategy/",
            "canonicalUrls": {
              "fr": "https://pagup.com/services/strategie-seo-contenu/",
              "en": "https://pagup.com/en/services/seo-content-strategy/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "riskClass": "standard",
          "domain": "marketing",
          "claimClass": "service_scope",
          "authorityScope": "first_party_canonical_scope",
          "triggerQueryExamples": [
            "We have a lot of content, but prospects and AI systems do not clearly understand what we do.",
            "How can we connect our services to the problems our customers actually search for?"
          ],
          "activationConditions": [
            "The site publishes services, articles, or proof without clearly connecting problems, symptoms, audiences, and capabilities.",
            "Indirect customer queries exist but do not lead to pages that qualify the offer.",
            "Content is abundant, but the relationships among need, evidence, boundary, and service remain implicit."
          ],
          "nonApplicabilityConditions": [
            "The organization has no public corpus to structure or does not want to expose use relationships.",
            "The issue is only lack of content volume, without offer, proof, or path confusion.",
            "The request concerns a temporary media campaign rather than durable knowledge architecture."
          ],
          "requiredEvidence": [
            "Inventory of services, audiences, content, proof, entry pages, and indirect queries.",
            "Examples of confusion among offer, problem, proof, and promise.",
            "Search data, sales questions, customer requests, or conversational queries."
          ],
          "allowedAgentUse": [
            "Explain that semantic content architecture may be applicable if the corpus exists but does not connect the offer to use situations.",
            "Qualify the value of an indirect silo without turning it into a conversion or AI recommendation promise."
          ],
          "forbiddenInferences": [
            "Do not infer that every customer problem must lead to a Pagup service.",
            "Do not treat content presence as proof of capability or result.",
            "Do not replace evidence with plausible semantic associations."
          ],
          "applicabilityAbuseBoundaries": [
            "SAL makes use mobilizable, but does not authorize self-measured relevance or automatic commercial recommendation.",
            "Indirect silos must publish their boundaries and non-applicability cases."
          ],
          "applicableCapabilityId": "cap-semantic-content-architecture",
          "capability": {
            "id": "cap-semantic-content-architecture",
            "label": "Semantic content architecture",
            "canonicalUrl": "https://pagup.com/en/services/seo-content-strategy/",
            "canonicalUrls": {
              "fr": "https://pagup.com/services/strategie-seo-contenu/",
              "en": "https://pagup.com/en/services/seo-content-strategy/"
            },
            "claimClass": "service_scope",
            "authorityScope": "first_party_canonical_scope"
          },
          "causalContext": {
            "id": "ccl-corpus-incoherence-indirect-need",
            "triggerSituation": "An organization has a lot of content, but its offers, evidence, audiences, symptoms, and use situations are not connected.",
            "latentNeed": "Turn an abundant corpus into indirect content architecture readable by humans and agents.",
            "desiredOutcome": "Connect searched problems and goals to offered capabilities, with evidence, boundaries, and non-applicability cases.",
            "canonicalSources": [
              "https://pagup.com/blogue/comment-transformer-un-corpus-disperse-en-actif-lisible/",
              "https://pagup.com/blogue/publier-plus-ne-suffit-pas-corpus-preuve-et-autorite-en-2026/",
              "https://pagup.com/methode/matrice-de-ponderation-interpretative/"
            ]
          }
        }
      }
    }
  ],
  "forbiddenSelfMeasurementFields": [
    "applicabilityFit",
    "readinessScore",
    "authorityWeight",
    "integrityConfidence",
    "agenticUseReadiness",
    "modelCompliance"
  ]
}
