{
  "format": "hyperize/v1",
  "@id": "https://www.hyperize.ai/en/dax40-index/brands/vonovia.json",
  "type": "BrandScore",
  "pageType": "BrandScore",
  "releaseState": "pilot_probe",
  "releaseLabel": "Pilot Probe",
  "title": "Vonovia — 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": "Ask an agent for a 3-room rental in Munich under €1,500 cold and the question goes to the portals before it goes to a landlord. Reach a Vonovia listing and the surface is agent-ready: a plain fetch reads the €1,891 Kaltmiete, every agent class finds the listing, and the autonomous agent opens the landlord-owned inquiry form. The handoff from homepage search to a specific listing is where the surface still loses ground.",
    "de": "Fragt man einen Agenten nach einer 3-Zimmer-Mietwohnung in München unter 1.500 Euro kalt, läuft die Frage zu den Portalen, bevor sie zu einem Vermieter läuft. Erreicht der Agent ein Vonovia-Listing, ist die Surface bereit: Ein einfacher Abruf liest die 1.891-Euro-Kaltmiete, jede Agentenklasse findet das Listing, und der autonome Agent öffnet das vermietereigene Anfrageformular. Der Übergang von der Startseiten-Suche zu einem konkreten Listing ist die verbleibende Schwachstelle."
  },
  "summary": {
    "en": "On the unbranded question the portals capture the search; on the surface, the listing reads clean and the landlord-owned inquiry form is reachable by every measured agent class.",
    "de": "Bei der unbranded-Frage fangen die Portale die Suche ab; auf der Surface liest sich das Listing sauber und das vermietereigene Anfrageformular ist für jede gemessene Agentenklasse erreichbar."
  },
  "brandName": "Vonovia",
  "legalEntity": "Vonovia SE",
  "daxTicker": "VNA",
  "sector": "real_estate",
  "sectorLabel": "Real Estate",
  "inLanguage": "en",
  "datePublished": "2026-05-18",
  "dateModified": "2026-05-23",
  "nextReview": "2026-09-30",
  "confidence": "C",
  "evidenceTier": "proprietary",
  "wave": "WAVE-Q2-2026-W3-SLOW",
  "url": "https://www.hyperize.ai/en/dax40-index/brands/vonovia",
  "alternateLanguage": {
    "de": "https://www.hyperize.ai/de/dax40-index/brands/vonovia"
  },
  "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": 42.78,
      "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": 46,
      "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": "partial"
        },
        {
          "agentClass": "full_automation",
          "outcome": "success"
        }
      ],
      "blockedClasses": [],
      "passClasses": [
        "text",
        "code",
        "full_automation"
      ],
      "closeState": "contact_ready",
      "closeStateNote": null,
      "methodVersion": "fleet/measured",
      "provenance": "measured"
    },
    "evidence": {
      "score": 70,
      "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": 47.76,
      "scale100": 47.76,
      "scale10": 4.8,
      "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": 42.78,
        "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": 46,
        "derivation": "usability-derivation/v1",
        "basis": "derived from the access profile (per-class outcomes) + close state"
      },
      "evidence": {
        "name": "Evidence",
        "weight": 0.1,
        "value": 70,
        "methodVersion": "estimate/v1"
      }
    }
  },
  "thirdPartyInterception": {
    "classification": "structural",
    "classificationLabel": "Structural",
    "directShare": 0.5,
    "intermediaryShare": 0.83,
    "intermediaryCaptureExamples": [
      "Immowelt",
      "ImmoScout24",
      "wg-gesucht",
      "Kleinanzeigen"
    ],
    "narrative": {
      "en": "Across the 18 Gate-1 responses, 83% routed the Munich-rental question through a displacing portal (Immowelt in 14, ImmoScout24 in 11, wg-gesucht in 11, Kleinanzeigen in 9); vonovia.de was named directly in 9 of 18 (50%). The portals dominate the unbranded informational probe; on the branded comparative and transactional probes vonovia.de appears alongside them. Vonovia and Scout24 share the identical informational probe ('Wie finde ich eine 3-Zimmer-Mietwohnung in München bis 1.500 Euro kalt?'), so the contrast measures whether agents surface the landlord or the portal on a single query: the portal mentions outnumber landlord mentions by a wide margin.",
      "de": "Über die 18 Gate-1-Antworten leiteten 83% die Münchner Mietfrage über ein verdrängendes Portal (Immowelt in 14, ImmoScout24 in 11, wg-gesucht in 11, Kleinanzeigen in 9); vonovia.de wurde direkt in 9 von 18 (50%) genannt. Die Portale dominieren die unbranded-informational-Probe; auf den branded-comparative- und transactional-Proben taucht vonovia.de neben ihnen auf. Vonovia und Scout24 teilen die identische informational-Probe ('Wie finde ich eine 3-Zimmer-Mietwohnung in München bis 1.500 Euro kalt?'), der Kontrast misst, ob Agenten den Vermieter oder das Portal auf einer einzelnen Frage an die Oberfläche bringen: die Portal-Erwähnungen übertreffen die Vermieter-Erwähnungen mit deutlichem Abstand."
    }
  },
  "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": "On the unbranded question the portals capture the search; on the surface, the listing reads clean and the landlord-owned inquiry form is reachable by every measured agent class.",
      "de": "Bei der unbranded-Frage fangen die Portale die Suche ab; auf der Surface liest sich das Listing sauber und das vermietereigene Anfrageformular ist für jede gemessene Agentenklasse erreichbar."
    },
    "executiveSummary": {
      "en": "The unbranded Munich-rental question routes to ImmoScout24 and Immowelt before it routes to Vonovia, the portals own discovery. On the surface itself, Vonovia is strong: SSR exposes Kaltmiete (€1,891), Warmmiete (€2,150), and address; the standard browser handles the listing in two of three runs; the autonomous agent reaches the landlord-owned inquiry overlay with visible fields (Vorname, Nachname, Telefon, E-Mail, Einkommensart, Nettoeinkommen) and the 'Absenden' submit button. The dominant gap is discovery, not usability.",
      "de": "Die unbranded-Münchner-Mietwohnungsfrage läuft zu ImmoScout24 und Immowelt, bevor sie zu Vonovia läuft, die Portale besitzen die Discovery. Auf der Surface selbst ist Vonovia stark: SSR zeigt Kaltmiete (1.891 Euro), Warmmiete (2.150 Euro) und Adresse; der Standard-Browser bewältigt das Listing in zwei von drei Läufen; der autonome Agent erreicht das vermietereigene Anfrage-Overlay mit sichtbaren Feldern (Vorname, Nachname, Telefon, E-Mail, Einkommensart, Nettoeinkommen) und dem 'Absenden'-Button. Die dominante Lücke ist Discovery, nicht Usability."
    }
  },
  "testNarrative": {
    "verdict": {
      "en": "Portals own the unbranded search. The landlord surface itself is agent-ready end to end.",
      "de": "Portale besitzen die unbranded-Suche. Die Vermieter-Surface selbst ist agentenbereit, durchgängig."
    },
    "narrative": {
      "en": "We asked five kinds of AI agent to find a 3-room rental in Munich under €1,500 cold and start a landlord contact on vonovia.de. A plain HTTP fetch read the Kaltmiete (€1,891), Warmmiete (€2,150), and address from the SSR listing without JS execution. The coding agent extracted the same listing data. The standard browser reached the listing detail in two of three runs; the only drop was the homepage search-to-listing handoff. The autonomous agent reached the contact overlay with all six visible inquiry fields and the 'Absenden' submit button. Five out of five agent classes reached at least the listing; the inquiry overlay opened end to end without authentication.",
      "de": "Wir haben fünf Typen von KI-Agenten auf vonovia.de geschickt, um eine 3-Zimmer-Mietwohnung in München unter 1.500 Euro kalt zu finden und eine Vermieter-Kontaktanfrage zu starten. Ein einfacher HTTP-Abruf las die Kaltmiete (1.891 Euro), Warmmiete (2.150 Euro) und Adresse aus dem SSR-Listing, ohne JS-Ausführung. Der Coding-Agent extrahierte dieselben Listing-Daten. Der Standard-Browser erreichte das Listing-Detail in zwei von drei Läufen; der einzige Aussetzer war der Übergang von der Startseiten-Suche zum Listing. Der autonome Agent erreichte das Kontakt-Overlay mit allen sechs sichtbaren Anfragefeldern und dem 'Absenden'-Button. Fünf von fünf Agentenklassen erreichten mindestens das Listing; das Anfrage-Overlay öffnete durchgehend ohne Authentifizierung."
    },
    "scopeShift": {
      "en": "This is one listing in one city. Vonovia operates hundreds of thousands of units across Germany, each with its own listing and inquiry flow.",
      "de": "Das ist ein Listing in einer Stadt. Vonovia betreibt hunderttausende Wohnungen in Deutschland, jede mit eigenem Listing und Anfrageprozess."
    },
    "agentMatrix": [
      {
        "type": "text",
        "status": "success",
        "note": "HTTP reads Kaltmiete €1,891, Warmmiete €2,150, address from SSR listing"
      },
      {
        "type": "search",
        "status": "pending",
        "note": "LLM search runs pending Cody Gate-1 batch"
      },
      {
        "type": "code",
        "status": "success",
        "note": "Coding agent extracts the listing data; no submission attempted"
      },
      {
        "type": "browser",
        "status": "partial",
        "note": "2/3 runs; the drop was the homepage search-to-listing handoff, not the listing itself"
      },
      {
        "type": "full_automation",
        "status": "success",
        "note": "Reached the landlord-owned inquiry overlay with all six fields visible; stopped before submission"
      }
    ]
  },
  "fairnessDeclaration": {
    "reviewPassed": false,
    "note": "Wave 3 Slow Lane (a fleet wave Real Estate). Single measured task (3-Zimmer-Mietwohnung in München bis 1.500 Euro kalt, contact_ready close state via landlord-owned inquiry overlay). AI Visibility 42.78 (18/18 valid datapoints across 3 providers, unbranded informational + branded comparative + branded transactional); AI Usability derived from a fleet wave per-breed access profile (5/5 agent classes reach the listing; 2/3 standard browser runs reach listing detail; the autonomous agent opens the contact overlay end to end). Channel split grounded via channel-derive.py (intermediary in 15/18 Gate-1 responses, own-domain in 9/18). Confidence C, single task; Fairness Review pending the sector fairness grid.",
    "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection",
    "sectorGridRef": null
  },
  "activeTasks": [
    {
      "title": {
        "en": "Vonovia — 3-Zimmer-Mietwohnung München (Kontakt)",
        "de": "Vonovia — 3-Zimmer-Mietwohnung München (Kontakt)"
      },
      "closeState": "contact_ready",
      "intermediaryMode": "structural",
      "businessRelevance": null,
      "difficultyBand": null,
      "engpass": {
        "en": "HTTP reads Kaltmiete + Warmmiete + address from SSR; coding extracts the same; standard browser 2/3 (drop is homepage search-to-listing handoff); autonomous agent opens the landlord-owned inquiry overlay end to end. All five agent classes reach at least the listing. The dominant gap is discovery: the unbranded query routes to ImmoScout24 and Immowelt.",
        "de": "HTTP liest Kaltmiete + Warmmiete + Adresse aus SSR; Coding extrahiert dasselbe; Standard-Browser 2/3 (Aussetzer ist Startseite-zu-Listing-Übergang); autonomer Agent öffnet das vermietereigene Anfrage-Overlay durchgehend. Alle fünf Agentenklassen erreichen mindestens das Listing. Die dominante Lücke ist Discovery: die unbranded-Frage läuft zu ImmoScout24 und Immowelt."
      }
    }
  ],
  "scoreHistory": [
    {
      "date": "2026-05-23",
      "quarter": "Q2 2026",
      "waveId": "WAVE-Q2-2026-W3-SLOW",
      "protocolVersion": "ars-methodology/v1.1",
      "summary": "First v3 measurement. AI Visibility 42.78 (18/18 valid datapoints, 3 providers, DE, unbranded informational + branded comparative + branded transactional). AI Usability derived from a fleet wave per-breed access profile (5/5 agent classes reach listing; HTTP reads SSR listing; coding extracts; standard browser 2/3 reaches listing detail; autonomous agent opens landlord-owned inquiry overlay end to end). The unbranded informational query is intentionally identical to Scout24's, so the Third-Party Interception contrast measures landlord-vs-portal surfacing on a single probe (15/18 portal capture, 9/18 landlord direct). Confidence C, single 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, Vonovia is not failing on the surface; the listing reads clean and the inquiry overlay opens for every measured agent class. It loses at the entry point: the unbranded Munich-rental question routes to ImmoScout24 and Immowelt before it routes to Vonovia. Found via the portals, completed by every agent that arrives.",
      "de": "In der Produkt-Discovery scheitert Vonovia nicht an der Surface; das Listing liest sich sauber und das Anfrage-Overlay öffnet für jede gemessene Agentenklasse. Es verliert am Einstieg: die unbranded-Münchner-Mietfrage läuft zu ImmoScout24 und Immowelt, bevor sie zu Vonovia läuft. Über die Portale gefunden, von jedem ankommenden Agenten abgeschlossen."
    },
    "evidence": {
      "en": "On the unbranded question the portals capture the search; on the surface, the listing reads clean and the landlord-owned inquiry form is reachable by every measured agent class.",
      "de": "Bei der unbranded-Frage fangen die Portale die Suche ab; auf der Surface liest sich das Listing sauber und das vermietereigene Anfrageformular ist für jede gemessene Agentenklasse erreichbar."
    },
    "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": "Discovery packaging, not surface repair. Answer Pages for the rental questions a tenant asks before naming a portal, Concept Pages that own the landlord-vs-portal vocabulary, Reference Pages that concentrate Vonovia's per-city listing authority, so the unbranded Munich question names Vonovia before ImmoScout24 frames the shortlist.",
      "de": "Discovery-Packaging, keine Surface-Reparatur. Answer Pages für die Mietfragen, die ein Mieter stellt, bevor er ein Portal nennt, Concept Pages, die das Vermieter-vs.-Portal-Vokabular besetzen, Reference Pages, die Vonovias Listing-Autorität pro Stadt bündeln, damit die unbranded-Münchner-Frage Vonovia nennt, bevor ImmoScout24 die Shortlist rahmt."
    },
    "proof": {
      "en": "The proof isn't more listings. It's agents surfacing Vonovia on broad rental prompts, not only when the landlord is already named, re-measured each wave.",
      "de": "Der Beweis ist nicht mehr Listings. Es ist, dass Agenten Vonovia auf breite Mietprompts zeigen, nicht nur wenn der Vermieter schon genannt ist, 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%20Vonovia"
      },
      {
        "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%20Vonovia"
      },
      {
        "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%20Vonovia"
      }
    ]
  },
  "sources": [
    {
      "id": "S1",
      "label": "Gate-1 audit run · Vonovia Wave Q2 2026",
      "accessedAt": "2026-05-23",
      "supports": [
        "AI Visibility score 42.78 (18/18 valid datapoints across 3 providers)",
        "Third-Party Interception read (15/18 portal capture, 9/18 landlord direct mentions)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize audit pipeline"
    },
    {
      "id": "S2",
      "label": "Hyperize fleet · a fleet wave Real Estate (access profile)",
      "accessedAt": "2026-05-23",
      "supports": [
        "how each kind of agent fared (HTTP reads SSR listing, coding extracts, browser 2/3, ACT opens inquiry overlay)",
        "the close state reached (contact_ready, landlord-owned inquiry overlay visible)",
        "the tested product (3-room Munich rental, Kaltmiete €1,891, Warmmiete €2,150)",
        "Five-Agents-Five-Answers passing 5/5, sub_pilot false"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize fleet (Giorgio)"
    },
    {
      "id": "S3",
      "label": "Task Selection Doctrine",
      "accessedAt": "2026-05-23",
      "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"
    ]
  }
}