{
  "format": "hyperize/v1",
  "@id": "https://www.hyperize.ai/en/dax40-index/brands/basf.json",
  "type": "BrandScore",
  "pageType": "BrandScore",
  "releaseState": "pilot_probe",
  "releaseLabel": "Pilot Probe",
  "title": "BASF — Pilot Probe (Single-Task Observation, Wave Q2 2026)",
  "pilotProbe": {
    "status": "pilot_probe",
    "rationale": "Single-task observation under a narrower provider track than a full BrandScore. The Agent Success Score is computed but should be read as an early signal, not a fully-qualified score.",
    "promotionCriteria": "Confidence promotes to B (and releaseState to brand_score) when the next wave adds a second task and the fourth provider on the Discoverability track.",
    "nextWave": "WAVE-Q3-2026"
  },
  "hook": {
    "en": "Glysantin G48 is a specialty coolant most German drivers reach via Amazon, OBI, Bauhaus, or the workshop, not directly via basf.com. The BASF surface carries the datasheet and the correct OEM approvals (VW TL 774-C, MB 325.0, BMW LC-87), but the buying path runs through retail. Whether an agent recommending a G48 coolant routes through the BASF surface at all, and whether it can buy once there, is what Wave 6 measured, alongside Symrise and Heidelberg Materials.",
    "de": "Glysantin G48 ist ein Spezialkühlmittel, das die meisten deutschen Autofahrer über Amazon, OBI, Bauhaus oder die Werkstatt erreichen, nicht direkt über basf.com. Die BASF-Surface trägt das Datenblatt und die korrekten OEM-Freigaben (VW TL 774-C, MB 325.0, BMW LC-87), aber der Kaufpfad läuft über den Handel. Ob ein Agent, der ein G48-Kühlmittel empfiehlt, überhaupt über die BASF-Surface läuft und ob er dort kaufen kann, ist was Wave 6 gemessen hat, zusammen mit Symrise und Heidelberg Materials."
  },
  "summary": {
    "en": "BASF is findable by AI agents and the Glysantin datasheet is accurate. The brand surface offers no buying path, so the purchase runs through Amazon and the building-materials aisle.",
    "de": "BASF ist für KI-Agenten auffindbar und das Glysantin-Datenblatt ist korrekt. Die Marken-Surface bietet keinen Kaufpfad, also läuft der Kauf über Amazon und den Baumarkt-Gang."
  },
  "brandName": "BASF",
  "legalEntity": "BASF SE",
  "daxTicker": "BAS",
  "sector": "chemicals_materials",
  "sectorLabel": "Chemicals & Materials",
  "inLanguage": "en",
  "datePublished": "2026-05-18",
  "dateModified": "2026-05-25",
  "nextReview": "2026-09-30",
  "confidence": "C",
  "evidenceTier": "proprietary",
  "wave": "WAVE-Q2-2026-W6-CHEMICALS",
  "url": "https://www.hyperize.ai/en/dax40-index/brands/basf",
  "alternateLanguage": {
    "de": "https://www.hyperize.ai/de/dax40-index/brands/basf"
  },
  "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": 37.67,
      "dimension": "Discoverability (D)",
      "methodVersion": "gate1/v1.1",
      "sampleSize": 18,
      "providers": [
        "openai",
        "perplexity",
        "anthropic"
      ],
      "provenance": "measured"
    },
    "usability": {
      "question": "Once an agent arrives — how far does it get toward the deal?",
      "score": 39,
      "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": "partial"
        },
        {
          "agentClass": "search",
          "outcome": "pending"
        },
        {
          "agentClass": "code",
          "outcome": "partial"
        },
        {
          "agentClass": "browser",
          "outcome": "pending"
        },
        {
          "agentClass": "full_automation",
          "outcome": "pending"
        }
      ],
      "blockedClasses": [],
      "passClasses": [],
      "closeState": "documentation_ready",
      "closeStateNote": null,
      "methodVersion": "fleet/measured",
      "provenance": "measured"
    },
    "evidence": {
      "score": 60,
      "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": 40.83,
      "scale100": 40.83,
      "scale10": 4.1,
      "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": 37.67,
        "methodVersion": "gate1/v1.1",
        "sampleSize": 18,
        "providers": [
          "openai",
          "perplexity",
          "anthropic"
        ],
        "queryVariants": 3,
        "runsPerVariant": 2,
        "taskCount": 1
      },
      "aiUsability": {
        "name": "AI Usability (reach + completion)",
        "weight": 0.7,
        "value": 39,
        "derivation": "usability-derivation/v1",
        "basis": "derived from the access profile (per-class outcomes) + close state"
      },
      "evidence": {
        "name": "Evidence",
        "weight": 0.1,
        "value": 60,
        "methodVersion": "fleet/measured"
      }
    }
  },
  "thirdPartyInterception": {
    "classification": "structural",
    "classificationLabel": "Structural",
    "directShare": 0.1,
    "intermediaryShare": 0.65,
    "intermediaryCaptureExamples": [
      "Amazon",
      "Bauhaus",
      "OBI",
      "Autoteile-Händler"
    ],
    "narrative": {
      "en": "Glysantin G48 is a consumer-grade coolant. Demand is captured by Amazon, OBI, Bauhaus, and automotive aftermarket platforms. Buyers find the datasheet on basf.com and glysantin.com but transact elsewhere: the brand surface carries documentation and a supplier locator, not a checkout.",
      "de": "Glysantin G48 ist ein konsumentennahes Kühlmittel. Die Nachfrage wird von Amazon, OBI, Bauhaus und Automotive-Aftermarket-Plattformen aufgefangen. Käufer finden das Datenblatt auf basf.com und glysantin.com, kaufen aber anderswo: Die Marken-Surface trägt Dokumentation und eine Händlersuche, keine Kasse."
    }
  },
  "bottleneck": {
    "type": "structural_intermediary",
    "classification": {
      "en": "Interception",
      "de": "Interception"
    },
    "classificationNote": {
      "en": "Intercepted before the brand is the answer.",
      "de": "Abgefangen, bevor die Marke die Antwort ist."
    },
    "sentence": {
      "en": "BASF is findable by AI agents and the Glysantin datasheet is accurate. The brand surface offers no buying path, so the purchase runs through Amazon and the building-materials aisle.",
      "de": "BASF ist für KI-Agenten auffindbar und das Glysantin-Datenblatt ist korrekt. Die Marken-Surface bietet keinen Kaufpfad, also läuft der Kauf über Amazon und den Baumarkt-Gang."
    },
    "executiveSummary": {
      "en": "Wave 6 partial measurement. BASF is findable by AI agents (D 37.67), and Glysantin's product-selection FAQ correctly distinguishes G48 (VW TL 774-C) from G40 (VW G12++). What the brand surface does not carry is a buying path: the close runs through Amazon, OBI, and Bauhaus. Interception, not a discovery or surface-accuracy gap.",
      "de": "Wave 6 Teilmessung. BASF ist für KI-Agenten auffindbar (D 37,67), und die Produktauswahl-FAQ von Glysantin unterscheidet G48 (VW TL 774-C) korrekt von G40 (VW G12++). Was die Marken-Surface nicht trägt, ist ein Kaufpfad: Der Abschluss läuft über Amazon, OBI und Bauhaus. Interception, keine Discovery- oder Surface-Genauigkeits-Lücke."
    }
  },
  "testNarrative": {
    "verdict": {
      "en": "BASF is findable and the Glysantin page is accurate. It just has no buy button.",
      "de": "BASF ist auffindbar und die Glysantin-Seite ist korrekt. Sie hat nur keinen Kaufen-Knopf."
    },
    "narrative": {
      "en": "Wave 6 measured BASF Glysantin G48 across Cody Gate-1 (3 providers, 18 datapoints, German queries, AI Visibility 37.67) and a fleet wave Phase 2 (HTTP + coding agents). Phase 3 browser and Phase 4 ACT not executed. The Phase 2 coding agent read the product-selection FAQ on glysantin.com directly from the source HTML: it correctly maps G48 to VW TL 774-C (the G11-class hybrid) and G40 to VW G12++. The datasheet and OEM approvals are accurate and agent-readable. What the surface does not carry is a way to buy: glysantin.com routes to a supplier locator, and the transaction completes on Amazon, OBI, or Bauhaus.",
      "de": "Wave 6 hat BASF Glysantin G48 über Cody Gate-1 (3 Provider, 18 Datenpunkte, DE-Queries, AI Visibility 37,67) und a fleet wave Phase 2 (HTTP- + Coding-Agenten) gemessen. Phase 3 Browser und Phase 4 ACT wurden nicht ausgeführt. Der Phase-2-Coding-Agent las die Produktauswahl-FAQ auf glysantin.com direkt aus dem Quell-HTML: Sie ordnet G48 korrekt VW TL 774-C zu (dem G11-Klasse-Hybrid) und G40 dem VW G12++. Datenblatt und OEM-Freigaben sind korrekt und agentenlesbar. Was die Surface nicht trägt, ist ein Kaufweg: glysantin.com verweist auf eine Händlersuche, und die Transaktion schließt auf Amazon, OBI oder Bauhaus ab."
    },
    "scopeShift": null,
    "agentMatrix": [
      {
        "type": "text",
        "status": "partial",
        "note": "HTTP agent reached the G48 product page and approvals headings but not a buying path (D 75, C 20, A 0, E 10)"
      },
      {
        "type": "search",
        "status": "pending",
        "note": "Wave 6 Cody Gate-1 in progress"
      },
      {
        "type": "code",
        "status": "partial",
        "note": "Coding agent read the source-level FAQ, which correctly maps G48 to VW TL 774-C and G40 to VW G12++; no purchase path on the brand surface (D 95, C 45, A 35, E 25)"
      },
      {
        "type": "browser",
        "status": "pending",
        "note": "a fleet wave phase 3 capture pending"
      },
      {
        "type": "full_automation",
        "status": "pending",
        "note": "a fleet wave phase 4 may be N/A for documentation_ready close"
      }
    ]
  },
  "fairnessDeclaration": {
    "reviewPassed": false,
    "note": "Wave 6 Q2 2026 partial measurement on a single task (BASF Glysantin G48, documentation_ready close, 5L canister, VW TL 774-C / MB 325.0 / BMW LC-87 OEM approvals). AI Visibility from Cody Gate-1 (37.67, 18/18 valid datapoints across openai/perplexity/anthropic, DE language). AI Usability from a fleet wave Phase 2 partial only (HTTP + coding agents; Phase 3 browser + Phase 4 ACT not executed in this wave); the full_automation row of the agent_matrix is marked pending. The coding-agent extraction confirmed glysantin.com's product-selection FAQ is accurate (G48 = VW TL 774-C, G40 = VW G12++); the gap is the buying path, not surface accuracy. Fairness Review pending the sector fairness grid.",
    "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection",
    "sectorGridRef": null
  },
  "activeTasks": [
    {
      "title": {
        "en": "BASF Glysantin G48 coolant (5L canister, VW TL 774-C / MB 325.0 / BMW LC-87)",
        "de": "BASF Glysantin G48 Kühlmittel (5L Kanister, VW TL 774-C / MB 325.0 / BMW LC-87)"
      },
      "closeState": "documentation_ready",
      "intermediaryMode": "platform",
      "businessRelevance": null,
      "difficultyBand": null,
      "engpass": {
        "en": "The Glysantin datasheet and product-selection FAQ are accurate (G48 = VW TL 774-C; G40 = VW G12++). The brand surface carries no buying path, so the purchase runs through Amazon, OBI, and Bauhaus.",
        "de": "Das Glysantin-Datenblatt und die Produktauswahl-FAQ sind korrekt (G48 = VW TL 774-C; G40 = VW G12++). Die Marken-Surface trägt keinen Kaufpfad, also läuft der Kauf über Amazon, OBI und Bauhaus."
      }
    }
  ],
  "scoreHistory": [
    {
      "date": "2026-05-25",
      "quarter": "Q2 2026",
      "waveId": "WAVE-Q2-2026-W6-CHEMICALS",
      "protocolVersion": "ars-methodology/v1.1",
      "summary": "Wave 6 partial measurement landed. Cody Gate-1 complete (D 37.67, 18/18 valid). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete; Phase 3 browser + Phase 4 ACT not executed in this wave (marked pending in agent_matrix). glysantin.com FAQ confirmed accurate (G48 = VW TL 774-C; G40 = VW G12++); the gap is the buying path (no checkout on the brand surface; close runs via Amazon/OBI/Bauhaus). Note: the frozen task originally carried an incorrect OEM spec for G48; corrected to G48's real approvals (VW TL 774-C / MB 325.0 / BMW LC-87) on fact-check 2026-06-02. Brand flipped to scored at partial-FLEET; full per-breed access profile requires Phase 3-4 dispatch."
    }
  ],
  "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, BASF is not lacking findability: AI Visibility 37.67 places BASF mid-pack across openai, perplexity, and anthropic. The datasheet is accurate too: glysantin.com's product-selection FAQ correctly maps G48 to VW TL 774-C and G40 to VW G12++, so an agent that reaches the page gets the right spec. The gap is the buying path. glysantin.com carries documentation and a supplier locator, not a checkout, so the intermediated channel (Amazon, OBI, Bauhaus, automotive aftermarket) captures the transaction.",
      "de": "In der Produkt-Discovery fehlt BASF nicht Auffindbarkeit: AI Visibility 37,67 platziert BASF im Mittelfeld über openai, perplexity und anthropic. Auch das Datenblatt ist korrekt: Die Produktauswahl-FAQ von glysantin.com ordnet G48 korrekt VW TL 774-C und G40 dem VW G12++ zu, ein Agent, der die Seite erreicht, bekommt also die richtige Spezifikation. Die Lücke ist der Kaufpfad. glysantin.com trägt Dokumentation und eine Händlersuche, keine Kasse, also fängt der intermediär Kanal (Amazon, OBI, Bauhaus, Automotive-Aftermarket) die Transaktion auf."
    },
    "evidence": {
      "en": "BASF is findable by AI agents and the Glysantin datasheet is accurate. The brand surface offers no buying path, so the purchase runs through Amazon and the building-materials aisle.",
      "de": "BASF ist für KI-Agenten auffindbar und das Glysantin-Datenblatt ist korrekt. Die Marken-Surface bietet keinen Kaufpfad, also läuft der Kauf über Amazon und den Baumarkt-Gang."
    },
    "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": "Based on the current pilot slate, this read is directional.",
      "de": "Basierend auf dem aktuellen Pilot-Slate ist diese Lesart direktional."
    },
    "closes": {
      "en": "What changes the outcome is a buying path on the brand surface. The datasheet is already right; what it lacks is a way for an agent to act on it. Answer Pages that meet the G48-compatibility question, and a callable surface that carries the spec into a transaction, keep the close on the brand instead of handing it to Amazon and the building-materials aisle.",
      "de": "Was den Ausgang verändert, ist ein Kaufpfad auf der Marken-Surface. Das Datenblatt stimmt bereits; was fehlt, ist ein Weg, auf dem ein Agent danach handeln kann. Answer Pages, die die G48-Kompatibilitätsfrage beantworten, und eine aufrufbare Surface, die die Spezifikation in eine Transaktion trägt, halten den Abschluss bei der Marke, statt ihn an Amazon und den Baumarkt-Gang abzugeben."
    },
    "proof": {
      "en": "The proof isn't more content. It's a repeatable lift in whether agents find, verify, cite, recommend, and complete the brand journey directly — re-measured each wave.",
      "de": "Der Beweis ist nicht mehr Content. Es ist ein wiederholbarer Anstieg darin, ob Agenten die Marke direkt finden, verifizieren, zitieren, empfehlen und den Weg abschließen — 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%20BASF"
      },
      {
        "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%20BASF"
      },
      {
        "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%20BASF"
      }
    ]
  },
  "sources": [
    {
      "id": "S1",
      "label": "Gate-1 audit run · BASF Wave Q2 2026 (Cody, dispatched 2026-05-25)",
      "accessedAt": "2026-05-25",
      "supports": [
        "AI Visibility score (pending)",
        "the close state reached (documentation_ready)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize audit pipeline"
    },
    {
      "id": "S2",
      "label": "a fleet wave chemicals wave · BASF phase 1-3 (Giorgio repo, dispatched 2026-05-25)",
      "accessedAt": "2026-05-25",
      "supports": [
        "the per-breed access profile (pending)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize fleet (Giorgio)"
    },
    {
      "id": "S3",
      "label": "Task Selection Doctrine",
      "accessedAt": "2026-05-25",
      "supports": [
        "fairness declaration",
        "Third-Party Interception framing"
      ],
      "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"
    ]
  }
}