{
  "format": "hyperize/v1",
  "@id": "https://www.hyperize.ai/en/dax40-index/brands/qiagen.json",
  "type": "BrandScore",
  "pageType": "BrandScore",
  "releaseState": "brand_score",
  "releaseLabel": "BrandScore",
  "title": "Qiagen — Commerce-lane Agent Success (AI Visibility 12 · AI Usability 80)",
  "pilotProbe": null,
  "hook": {
    "en": "Qiagen has a near-flawless agent surface, and almost no one's agent finds it. Ask about a specific diagnostic kit and Qiagen surfaces reliably; ask a broad category question and it comes up about one time in ten. Once an agent arrives, everything works: server-rendered pages, a working product finder, an Add-to-cart that needs no login to reach. No intermediary stands in the way. The gap isn't the surface or the channel, it's mass-market discovery.",
    "de": "Qiagen hat eine nahezu makellose Agent-Surface, und fast niemandes Agent findet sie. Frag nach einem spezifischen Diagnostik-Kit, und Qiagen taucht zuverlässig auf; frag eine breite Kategorie-Frage, und es kommt etwa eines von zehn Malen. Sobald ein Agent ankommt, funktioniert alles: server-gerenderte Seiten, ein funktionierender Produktfinder, ein Add-to-cart, das ohne Login erreichbar ist. Kein Intermediär steht im Weg. Die Lücke ist nicht die Surface oder der Kanal, es ist die Massenmarkt-Discovery."
  },
  "summary": {
    "en": "A near-flawless surface that mass-market AI rarely finds.",
    "de": "Eine nahezu makellose Surface, die der Massenmarkt-KI fast nie findet."
  },
  "brandName": "Qiagen",
  "legalEntity": "QIAGEN N.V.",
  "daxTicker": "QIA",
  "sector": "pharma_healthcare",
  "sectorLabel": "Pharma & Healthcare",
  "inLanguage": "en",
  "datePublished": "2026-05-18",
  "dateModified": "2026-05-18",
  "nextReview": "2026-09-30",
  "confidence": "B",
  "evidenceTier": "proprietary",
  "wave": "WAVE-Q2-2026-PILOT",
  "url": "https://www.hyperize.ai/en/dax40-index/brands/qiagen",
  "alternateLanguage": {
    "de": "https://www.hyperize.ai/de/dax40-index/brands/qiagen"
  },
  "isPartOf": {
    "@id": "https://www.hyperize.ai/en/dax40-index",
    "name": "DAX 40 Agent Success Index"
  },
  "lanes": [
    {
      "id": "commerce",
      "name": "Commerce",
      "measured": true
    },
    {
      "id": "talent",
      "name": "Talent",
      "measured": false
    },
    {
      "id": "aftersales",
      "name": "After-sales",
      "measured": false
    },
    {
      "id": "procurement",
      "name": "Procurement",
      "measured": false
    },
    {
      "id": "investor_relations",
      "name": "Investor Relations",
      "measured": false
    },
    {
      "id": "press",
      "name": "Press",
      "measured": false
    }
  ],
  "commercialLane": {
    "visibility": {
      "question": "Will an agent find and recommend the brand?",
      "score": 11.51,
      "dimension": "Discoverability (D)",
      "methodVersion": "gate1/v1.1",
      "sampleSize": 24,
      "providers": [
        "openai",
        "perplexity",
        "anthropic",
        "google"
      ],
      "provenance": "measured"
    },
    "usability": {
      "question": "Once an agent arrives — how far does it get toward the deal?",
      "score": 80,
      "scoreNote": "Derived from the access profile below + close state (usability-derivation/v1). NOT a hand-averaged number — a reproducible summary of observed agent behaviour.",
      "accessProfile": [
        {
          "agentClass": "text",
          "outcome": "success"
        },
        {
          "agentClass": "search",
          "outcome": "pending"
        },
        {
          "agentClass": "code",
          "outcome": "success"
        },
        {
          "agentClass": "browser",
          "outcome": "success"
        },
        {
          "agentClass": "full_automation",
          "outcome": "success"
        }
      ],
      "blockedClasses": [],
      "passClasses": [
        "text",
        "code",
        "browser",
        "full_automation"
      ],
      "closeState": "cart_ready",
      "closeStateNote": "Reaches a working cart with no login gate — the transaction path is real, not just order-ready. Final payment is a separate step.",
      "methodVersion": "fleet/measured",
      "provenance": "measured"
    },
    "evidence": {
      "score": 98,
      "basis": "estimate — cross-method ground-truth consistency, not a separate measured run",
      "note": "A confidence layer on the two axes above, not a third sales axis."
    }
  },
  "score": {
    "compositeForIndexRanking": {
      "value": 68.1,
      "scale100": 68.1,
      "scale10": 6.8,
      "status": "computed",
      "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)",
      "methodVersion": "ars-methodology/v1.1",
      "usabilityDerivation": "usability-derivation/v1",
      "role": "index-ranking",
      "note": "Weighted composite, used for ranking the index. Read the two commercialLane axes (visibility + usability) for the standalone verdict — this single number blends them and is not the headline."
    },
    "dimensions": {
      "aiVisibility": {
        "name": "AI Visibility (Discoverability)",
        "weight": 0.2,
        "value": 11.51,
        "grade": "B",
        "methodVersion": "gate1/v1.1",
        "sampleSize": 24,
        "providers": [
          "openai",
          "perplexity",
          "anthropic",
          "google"
        ],
        "queryVariants": 3,
        "runsPerVariant": 2,
        "taskCount": 1
      },
      "aiUsability": {
        "name": "AI Usability (reach + completion)",
        "weight": 0.7,
        "value": 80,
        "derivation": "usability-derivation/v1",
        "basis": "derived from the access profile (per-class outcomes) + close state"
      },
      "evidence": {
        "name": "Evidence",
        "weight": 0.1,
        "value": 98,
        "grade": "A",
        "methodVersion": "fleet/measured"
      }
    }
  },
  "thirdPartyInterception": {
    "classification": "none",
    "classificationLabel": "None",
    "directShare": 0.17,
    "intermediaryShare": 0,
    "intermediaryCaptureExamples": [],
    "narrative": {
      "en": "Qiagen is not structurally displaced by intermediaries. Expert-intent queries route to qiagen.com directly. The 83 percent of category-prompt traffic that doesn't reach the brand isn't captured elsewhere, it simply does not surface the brand at all. A discovery problem, not a channel problem.",
      "de": "Qiagen wird nicht strukturell von Intermediären verdrängt. Expert-Intent-Queries laufen direkt auf qiagen.com. Die 83 Prozent des Kategorie-Prompt-Traffics, die die Marke nicht erreichen, werden auch nicht woanders abgefangen, sie führen einfach gar nicht zur Marke. Discovery-Problem, kein Channel-Problem."
    }
  },
  "bottleneck": {
    "type": "visibility",
    "classification": {
      "en": "Discovery",
      "de": "Discovery"
    },
    "classificationNote": {
      "en": "Rarely found for the category.",
      "de": "Wird für die Kategorie selten gefunden."
    },
    "sentence": {
      "en": "A near-flawless surface that mass-market AI rarely finds.",
      "de": "Eine nahezu makellose Surface, die der Massenmarkt-KI fast nie findet."
    },
    "executiveSummary": {
      "en": "The surface is near reference quality; the bottleneck is category-level visibility, not how the surface works. Expert queries find Qiagen; broad ones don't.",
      "de": "Die Surface ist nahe Referenzqualität; der Engpass ist die Sichtbarkeit auf Kategorie-Ebene, nicht wie die Surface funktioniert. Expert-Queries finden Qiagen; breite nicht."
    }
  },
  "testNarrative": {
    "verdict": {
      "en": "The €5,480 diagnostic kit you can order with a curl command.",
      "de": "Das €5.480-Diagnostik-Kit, das man mit einem curl-Command bestellen kann."
    },
    "narrative": {
      "en": "We asked five kinds of AI agent to find and order a CE-IVD diagnostic kit on qiagen.com. Every type that ran succeeded, even the simplest: the page is server-rendered, so a plain fetch reads exactly what a browser sees. The agents found the therascreen EGFR Plus RGQ Kit (catalog 874611, €5,480), confirmed the 42 mutations it detects, and added it to the cart with no login. The surface is near-flawless. The catch sits one step earlier: broad category questions almost never surface Qiagen at all.",
      "de": "Wir haben fünf Typen von KI-Agenten auf qiagen.com geschickt, um ein CE-IVD-Diagnostik-Kit zu finden und zu bestellen. Jeder Typ, der lief, war erfolgreich, selbst der einfachste: die Seite ist server-gerendert, ein simpler Abruf liest also genau das, was ein Browser sieht. Die Agenten fanden das therascreen EGFR Plus RGQ Kit (Katalognummer 874611, €5.480), bestätigten die 42 Mutationen, die es nachweist, und legten es ohne Login in den Warenkorb. Die Surface ist nahezu makellos. Der Haken sitzt einen Schritt davor: breite Kategorie-Fragen führen fast nie zu Qiagen."
    },
    "scopeShift": {
      "en": "This is one diagnostic kit. Qiagen offers 180+ IVD-classified products across oncology, infectious disease, and companion diagnostics, each with regulatory classification and sample-compatibility filtering.",
      "de": "Das ist ein Diagnostik-Kit. Qiagen bietet 180+ IVD-klassifizierte Produkte über Onkologie, Infektionskrankheiten und Companion Diagnostics, jeweils mit regulatorischer Klassifikation und Sample-Kompatibilitäts-Filter."
    },
    "agentMatrix": [
      {
        "type": "text",
        "status": "success",
        "note": "Angular Universal SSR, full content in raw HTML"
      },
      {
        "type": "search",
        "status": "pending",
        "note": "LLM runs pending"
      },
      {
        "type": "code",
        "status": "success",
        "note": "Product finder API accessible"
      },
      {
        "type": "browser",
        "status": "success",
        "note": "3/3 runs, 99.0 avg"
      },
      {
        "type": "full_automation",
        "status": "success",
        "note": "Add to cart live, CE-IVD filter navigated"
      }
    ]
  },
  "fairnessDeclaration": {
    "reviewPassed": true,
    "note": "Single measured task (therascreen EGFR Plus RGQ Kit), scored under the public Task Selection Doctrine. Confidence B: full datapoint coverage on one task, promotion to A requires three or more tasks. Third-Party Interception none, no intermediary obscuring measurement. Measured in English, the primary buyer language for expert diagnostics globally; the rest of the index is measured in German, and a German re-measurement is scheduled for the next Qiagen review to keep cross-brand comparability.",
    "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection",
    "sectorGridRef": "dax40/task-grids/pharma_healthcare-v1.yaml"
  },
  "activeTasks": [
    {
      "title": {
        "en": "therascreen EGFR Plus RGQ Kit",
        "de": "therascreen EGFR Plus RGQ Kit"
      },
      "closeState": "cart_ready",
      "intermediaryMode": "none",
      "businessRelevance": "high",
      "difficultyBand": "medium",
      "engpass": {
        "en": "Broad-category prompts do not surface qiagen.com; expert-intent does.",
        "de": "Breite Kategorie-Prompts erreichen qiagen.com nicht; Expert-Intent schon."
      }
    }
  ],
  "scoreHistory": [
    {
      "date": "2026-05-17",
      "quarter": "Q2 2026",
      "waveId": "WAVE-Q2-2026-PILOT",
      "protocolVersion": "ars-methodology/v1.1",
      "summary": "First v3 audit-derived AI Visibility (11.51, 24/24 valid datapoints). AI Usability from a fleet wave Gate-2 phases: HTTP/Coding/Browser 3/3, ACT add-to-cart with no login. Confidence B, single measured task."
    }
  ],
  "methodology": {
    "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)",
    "usabilityDerivation": "usability-derivation/v1",
    "protocolVersion": "ars-methodology/v1.1",
    "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection",
    "agentSurface": "https://www.hyperize.ai/en/methodology",
    "dimensions": {
      "aiVisibility": "AI Visibility (Discoverability) — audit-pipeline-derived. 3–4 providers × 3 query variants × 2 runs.",
      "aiUsability": "AI Usability — derived from the per-class access profile (which agent classes reach the close state) modulated by close-state depth. The profile is the truth; the score is a reproducible summary, not a hand-rating.",
      "evidence": "Evidence — cross-method ground-truth consistency. A confidence layer, not a sales axis."
    }
  },
  "consequenceClose": {
    "archetype": "discovery",
    "archetypeLabel": {
      "en": "discovery",
      "de": "Discovery"
    },
    "source": "brand",
    "diagnosis": {
      "en": "On product discovery, Qiagen is not losing on surface quality, the order-ready path holds without login, server-side rendering makes every page machine-readable. It loses on category entry: 83 percent of category-prompt traffic never reaches qiagen.com. Expert intent finds the brand; broad intent doesn't.",
      "de": "In der Produkt-Discovery verliert Qiagen nicht an Surface-Qualität, der Order-ready-Pfad hält ohne Login, Server-Side-Rendering macht jede Seite maschinenlesbar. Es verliert beim Kategorie-Einstieg: 83 Prozent des Kategorie-Prompt-Traffics erreichen qiagen.com nie. Expert-Intent findet die Marke; breiter Intent nicht."
    },
    "evidence": {
      "en": "A near-flawless surface that mass-market AI rarely finds.",
      "de": "Eine nahezu makellose Surface, die der Massenmarkt-KI fast nie findet."
    },
    "question": {
      "en": "The question this raises: where would broader measurement — additional tasks, additional providers — sharpen the discovery read?",
      "de": "Die Frage daraus: Wo würde breitere Messung — zusätzliche Tasks, zusätzliche Provider — die Discovery-Lesart schärfen?"
    },
    "confidenceHedge": {
      "en": null,
      "de": null
    },
    "closes": {
      "en": "The fix is category-entry packaging, not surface repair. Concept Pages that own the diagnostics vocabulary, Answer Pages for the broad questions a researcher asks before they know the vendor, Reference Pages that concentrate the authority already buried in deep product pages.",
      "de": "Der Hebel ist Category-Entry-Packaging, nicht Surface-Reparatur. Concept Pages, die das Diagnostik-Vokabular besetzen, Answer Pages für die breiten Fragen, die ein Forscher stellt, bevor er den Anbieter kennt, Reference Pages, die die Autorität bündeln, die schon in tiefen Produktseiten vergraben liegt."
    },
    "proof": {
      "en": "The proof isn't more pages. It's agents surfacing Qiagen on broad category prompts, not only expert intent, re-measured each wave.",
      "de": "Der Beweis ist nicht mehr Seiten. Es ist, dass Agenten Qiagen auf breiten Kategorie-Prompts zeigen, nicht nur bei Expert-Intent, neu gemessen mit jeder Wave."
    },
    "ctas": [
      {
        "weight": "primary",
        "eyebrow": "Audit · €1,900",
        "title": {
          "en": "Commission an audit.",
          "de": "Audit beauftragen."
        },
        "body": {
          "en": "Where the BrandScore opens the question, an audit closes it. An interpretive engagement on your full surface, scored under the same methodology.",
          "de": "Wo die BrandScore die Frage öffnet, schließt sie ein Audit. Ein interpretatives Engagement auf der vollen Surface, gemessen unter derselben Methodologie."
        },
        "cta": {
          "en": "Get the audit",
          "de": "Audit anfragen"
        },
        "href": "mailto:hello@hyperize.ai?subject=Audit%20%C2%B7%20Qiagen"
      },
      {
        "weight": "secondary",
        "eyebrow": "Founding · €4,500",
        "title": {
          "en": "Found with us.",
          "de": "Founding Program."
        },
        "body": {
          "en": "Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement.",
          "de": "Strategische Partnerschaft für Marken, die Agent-Success als langfristige Capability aufbauen — nicht als Einmal-Engagement."
        },
        "cta": {
          "en": "Apply",
          "de": "Bewerben"
        },
        "href": "mailto:hello@hyperize.ai?subject=Founding%20Program%20%C2%B7%20Qiagen"
      },
      {
        "weight": "secondary",
        "eyebrow": "Snapshot",
        "title": {
          "en": "Audit an adjacent property.",
          "de": "Eine angrenzende Property messen."
        },
        "body": {
          "en": "The BrandScore covers the primary domain. Get the same methodology applied to an adjacent property: a country site, a sub-brand, a category beyond the DAX-40 slate.",
          "de": "Die BrandScore deckt die primäre Domain ab. Die gleiche Methodologie für eine angrenzende Property: eine Länderseite, eine Sub-Brand, eine Kategorie außerhalb des DAX-40-Slates."
        },
        "cta": {
          "en": "Get a Snapshot",
          "de": "Snapshot anfragen"
        },
        "href": "mailto:hello@hyperize.ai?subject=Snapshot%20%C2%B7%20adjacent%20property%20for%20Qiagen"
      }
    ]
  },
  "sources": [
    {
      "id": "S1",
      "label": "Gate-1 audit run · Qiagen Wave Q2 2026",
      "accessedAt": "2026-05-18",
      "supports": [
        "AI Visibility score (audit-derived)",
        "sample size + provider coverage",
        "channel position broad-category narrative"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize audit pipeline"
    },
    {
      "id": "S2",
      "label": "Hyperize fleet · a fleet wave Gate-2 phases (HTTP/Coding/Browser 3/3 + ACT add-to-cart; source for C/A/E)",
      "accessedAt": "2026-05-16",
      "supports": [
        "AI Usability and Evidence inputs",
        "fleet test outcomes"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize fleet (Giorgio)"
    },
    {
      "id": "S3",
      "label": "Task Selection Doctrine",
      "accessedAt": "2026-05-18",
      "supports": [
        "fairness declaration",
        "task class assignment"
      ],
      "url": "https://www.hyperize.ai/en/methodology/task-selection",
      "kind": "public",
      "internalLabel": null
    }
  ],
  "crossLinks": {
    "index": "https://www.hyperize.ai/en/dax40-index",
    "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection",
    "agentSurface": "https://www.hyperize.ai/en/methodology",
    "foundingProgram": "https://www.hyperize.ai/en/founding-program"
  },
  "scope": {
    "publishes": [
      "Brand identity (name, legal entity, DAX ticker, sector)",
      "Composite (index-ranking) + AI Visibility + AI Usability (as access profile + derived score) + Evidence, with weights",
      "Per-agent-class access profile (which agent classes reach the close state)",
      "Third-Party Interception classification, direct/intermediary share, narrative",
      "Hyperize-selected task titles, close state, intermediary mode, task score, bottleneck sentence",
      "Measurement timeline (date, wave, protocol version, summary)",
      "Sources with public URLs or internal-evidence pointers",
      "Confidence grade + Evidence tier + Next review date",
      "Bottleneck classification (Discovery / Interception / Usability / Multi-axis / No dominant gap)",
      "Bottleneck archetype + consequence-claim diagnosis + operator question",
      "Test narrative (verdict, narrative, agent matrix, scope shift) — scene-level prose, no prompts or formulas"
    ],
    "doesNotPublish": [
      "Task identifiers (internal)",
      "Raw and derived measurement artifact paths (internal repos)",
      "Per-phase outcome tables (ceiling / http / coding / browser_standard / act)",
      "Individual prompts and provider-specific transcripts",
      "Scoring derivation steps below the dimension level",
      "Sector task grid file references when still draft"
    ]
  }
}