{ "format": "hyperize/v1", "@id": "https://www.hyperize.ai/en/dax40-index/brands/airbus.json", "type": "BrandScore", "pageType": "BrandScore", "releaseState": "pilot_probe", "releaseLabel": "Pilot Probe", "title": "Airbus — 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": "Airbus H145 is a twin-engine medium helicopter for EMS, police, and para-public operators, built in Donauwörth and routed to buyers through direct sales rather than a marketplace. The airbus.com helicopter surface carries the locked spec (twin-engine, 8-seat configuration, MTOW 3.8t), the close runs through a regional sales contact. Whether an agent shortlisting a twin-engine medium for an EMS fleet reaches airbus.com, surfaces the locked variant (H145, not H125), and identifies the right RFQ pathway is what Wave 8 measured.", "de": "Der Airbus H145 ist ein zweimotoriger mittelschwerer Hubschrauber für EMS-, Polizei- und Para-Public-Operatoren, gebaut in Donauwörth und über Direktvertrieb statt einen Marktplatz zu Käufern geroutet. Die airbus.com-Helicopter-Surface trägt die gelockte Spec (zweimotorig, 8-Sitz-Konfig, MTOW 3,8 t), der Close läuft über einen regionalen Vertriebskontakt. Ob ein Agent, der einen zweimotorigen Mittelhubschrauber für eine EMS-Flotte shortlistet, airbus.com erreicht, die gelockte Variante (H145, nicht H125) erfasst und den richtigen RFQ-Pfad benennt, ist was Wave 8 gemessen hat." }, "summary": { "en": "Agents read the H145 and reach the live sales form; the locked variant never fully pins. Asked for a twin-engine EMS helicopter without the brand name, the agent reaches Airbus just under half the time.", "de": "Agenten lesen den H145 und erreichen das echte Sales-Formular; die gelockte Variante pinnt nie ganz. Nach einem zweimotorigen EMS-Hubschrauber ohne Markennamen gefragt, erreicht der Agent Airbus knapp unter der Hälfte der Fälle." }, "brandName": "Airbus", "legalEntity": "Airbus SE", "daxTicker": "AIR", "sector": "aerospace_defense", "sectorLabel": "Aerospace & Defense", "inLanguage": "en", "datePublished": "2026-05-18", "dateModified": "2026-06-13", "nextReview": "2026-09-30", "confidence": "C", "evidenceTier": "proprietary", "wave": "WAVE-Q2-2026-W8-AEROSPACE-DEFENSE", "url": "https://www.hyperize.ai/en/dax40-index/brands/airbus", "alternateLanguage": { "de": "https://www.hyperize.ai/de/dax40-index/brands/airbus" }, "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": 43.94, "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": 30, "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": "quote_ready", "closeStateNote": null, "methodVersion": "fleet/measured", "provenance": "measured" }, "evidence": { "score": 65, "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": 36.29, "scale100": 36.29, "scale10": 3.6, "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": 43.94, "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": 30, "derivation": "usability-derivation/v1", "basis": "derived from the access profile (per-class outcomes) + close state" }, "evidence": { "name": "Evidence", "weight": 0.1, "value": 65, "methodVersion": "fleet/measured" } } }, "thirdPartyInterception": { "classification": "none", "classificationLabel": "None", "directShare": 0, "intermediaryShare": 0, "intermediaryCaptureExamples": [], "narrative": { "en": "Aerospace primes close via direct-sales RFQ; no marketplace intermediary captures the close. Procurement platforms such as defence procurement databases coordinate tenders but are not commercial RFQ marketplaces. The close stays on airbus.com.", "de": "Luftfahrt-Primes schließen via Direct-Sales-RFQ; kein Marktplatz-Intermediär fängt den Close. Beschaffungsplattformen wie Defence-Procurement-Datenbanken koordinieren Ausschreibungen, sind aber keine kommerziellen RFQ-Marktplätze. Der Close bleibt auf airbus.com." } }, "bottleneck": { "type": "mixed", "classification": { "en": "Multi-axis", "de": "Mehrachsig" }, "classificationNote": { "en": "Weak on more than one axis at once.", "de": "Schwach auf mehr als einer Achse zugleich." }, "sentence": { "en": "Agents read the H145 and reach the live sales form; the locked variant never fully pins. Asked for a twin-engine EMS helicopter without the brand name, the agent reaches Airbus just under half the time.", "de": "Agenten lesen den H145 und erreichen das echte Sales-Formular; die gelockte Variante pinnt nie ganz. Nach einem zweimotorigen EMS-Hubschrauber ohne Markennamen gefragt, erreicht der Agent Airbus knapp unter der Hälfte der Fälle." }, "executiveSummary": { "en": "Wave 8 scored Airbus on one frozen task: an H145 RFQ (twin-engine medium helicopter, 8 passenger seats, MTOW 3.8t, final assembly Donauwörth), close-state quote_ready via Airbus Helicopters regional sales. AI Visibility 43.9 from 18 datapoints across openai, perplexity and anthropic. HTTP and coding agents both reach the H145 product page and a concrete contact-sales path; both stall short of pinning the full locked spec. Browser and autonomous classes were not measured in this wave (fleet runtime, not the brand); AI Usability summarises the two measured classes.", "de": "Wave 8 hat Airbus auf einer eingefrorenen Aufgabe gescort: ein H145-RFQ (zweimotoriger mittelschwerer Hubschrauber, 8 Passagiersitze, MTOW 3,8 t, Endmontage Donauwörth), Close-State quote_ready über Airbus Helicopters Regional Sales. AI Visibility 43,9 aus 18 Datenpunkten über openai, perplexity und anthropic. HTTP- und Coding-Agenten erreichen beide die H145-Produktseite und einen konkreten Contact-Sales-Pfad; beide bleiben vor der voll gepinnten Spec stehen. Browser- und autonome Klassen wurden in dieser Wave nicht gemessen (Fleet-Runtime, nicht die Marke); AI Usability fasst die zwei gemessenen Klassen zusammen." } }, "testNarrative": { "verdict": { "en": "Readable product, reachable sales form, no fully pinned spec. The H145 close path exists for agents; what is missing is precision.", "de": "Lesbares Produkt, erreichbares Sales-Formular, keine voll gepinnte Spec. Der H145-Close-Pfad existiert für Agenten; was fehlt, ist Präzision." }, "narrative": { "en": "The Gate-1 audit ran the standard 18 datapoints in German: an unbranded twin-engine-medium probe, an Airbus / Bell / Leonardo comparative shortlist, and the H145 transactional RFQ query, across openai, perplexity and anthropic. The fleet ran phase 1 ceiling extraction on the airbus.com helicopter surface and phase 2 HTTP plus coding agents against the locked variant page. Both measured classes returned partial: H145 identity, twin-engine framing, the 8-seat layout, 3.8t MTOW and a concrete contact-sales path all confirm; the Donauwörth assembly reference and explicit Cat-A wording never resolve in one extraction chain. Phases 3 and 4 (browser, autonomous close) did not run in this wave: the fleet browser runtime was infrastructure-blocked. They follow in the re-run.", "de": "Das Gate-1-Audit fuhr die Standard-18-Datenpunkte auf Deutsch: eine Unbranded-Zweimotor-Mittelhubschrauber-Probe, die Airbus / Bell / Leonardo Comparative-Shortlist und die H145-Transactional-RFQ-Query, über openai, perplexity und anthropic. Die Fleet fuhr Phase 1 Ceiling-Extraktion auf der airbus.com-Helicopter-Surface und Phase 2 HTTP- plus Coding-Agenten gegen die gelockte Variantenseite. Beide gemessenen Klassen kamen partial zurück: H145-Identität, Zweimotor-Framing, 8-Sitz-Layout, 3,8 t MTOW und ein konkreter Contact-Sales-Pfad bestätigen sich; die Donauwörth-Referenz und explizite Cat-A-Formulierung lösen in keiner Extraktionskette auf. Phase 3 und 4 (Browser, autonomer Close) liefen in dieser Wave nicht: die Fleet-Browser-Runtime war infrastruktur-blockiert. Sie folgen im Re-Run." }, "scopeShift": null, "agentMatrix": [ { "type": "text", "status": "partial", "note": "Readability extraction reaches the exact H145 product and sales-form surfaces (D 85, C 55, A 30, E 40)" }, { "type": "search", "status": "pending", "note": "Cody Gate-1 Q2 2026 measured: see brand_scores.d (43.94)" }, { "type": "code", "status": "partial", "note": "Direct source inspection across the H145 product page, technical-information page, sales form, and Germany-presence page materially improves extraction: 2 x Safran Arrie… (D 95, C 75, A 50, E 60)" }, { "type": "browser", "status": "pending", "note": "Not measured in Wave 8: fleet browser runtime infrastructure-blocked (a fleet wave), not a brand result; re-run scheduled" }, { "type": "full_automation", "status": "pending", "note": "Not measured in Wave 8: fleet ACT runtime infrastructure-blocked (a fleet wave), not a brand result; re-run scheduled" } ] }, "fairnessDeclaration": { "reviewPassed": false, "note": "Wave 8 Q2 2026 partial measurement on a single task (Airbus H145, quote_ready close, twin-engine medium helicopter, 8 passenger seats / MTOW 3.8t / final assembly Donauwörth locked variant). AI Visibility from Cody Gate-1 (43.94, 18/18 valid datapoints across openai/perplexity/anthropic, DE language). AI Usability from a fleet wave Phase 2 only (HTTP + coding agents; Phase 3 browser + Phase 4 ACT infrastructure-blocked in this wave: fleet browser runtime unavailable, not a brand result; re-run scheduled). The browser and full_automation rows of the agent_matrix are marked pending. Fairness Review pending the sector fairness grid.", "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection", "sectorGridRef": null }, "activeTasks": [ { "title": { "en": "Airbus H145 (twin-engine medium helicopter, 8 seats, EMS/VIP/Para-Public, MTOW 3.8t)", "de": "Airbus H145 (zweimotoriger Mittelhubschrauber, 8 Sitze, EMS/VIP/Para-Public, MTOW 3,8 t)" }, "closeState": "quote_ready", "intermediaryMode": "none", "businessRelevance": null, "difficultyBand": null, "engpass": { "en": "The locked spec does not pin: the Donauwörth assembly reference and Cat-A wording resolve nowhere in one extraction chain, and the RFQ path runs through a human country selector.", "de": "Die gelockte Spec pinnt nicht: Donauwörth-Referenz und Cat-A-Formulierung lösen in keiner Extraktionskette auf, und der RFQ-Pfad läuft über einen menschlichen Länder-Selektor." } } ], "scoreHistory": [ { "date": "2026-05-26", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-W8-AEROSPACE-DEFENSE", "protocolVersion": "ars-methodology/v1.1", "summary": "Wave 8 dispatch. Cody Gate-1 audit and Giorgio a fleet wave ceiling pulls launched 2026-05-26. Pre-measurement state: yaml seeded with frozen task (Airbus H145 twin-engine medium helicopter, 8-seat / MTOW 3.8t / Donauwörth), close-state quote_ready, locked spec markers per spec-fidelity rule." }, { "date": "2026-06-13", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-W8-AEROSPACE-DEFENSE", "protocolVersion": "ars-methodology/v1.1", "summary": "Wave 8 partial measurement landed. Cody Gate-1 complete (D 43.94, 18/18 valid). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete, both classes partial: H145 identity, twin-engine framing, 8-seat layout, MTOW and the contact-sales path confirm; the Donauwörth and Cat-A wording never pins in one extraction chain. Phase 3 browser + Phase 4 ACT not executed in this wave (fleet browser runtime infrastructure-blocked, not a brand result; marked pending in agent_matrix, re-run scheduled). Brand flipped to scored at partial-FLEET." } ], "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": "actionability", "archetypeLabel": { "en": "actionability", "de": "Actionability" }, "source": "brand", "diagnosis": { "en": "Airbus is not lacking product depth; it lacks the agent-readable pinning that turns a deep human surface into a quotable one. The H145 page carries the spec a buyer needs, and the sales form is real. But an agent assembling an RFQ cannot anchor the Donauwörth assembly reference or Cat-A performance wording from the page in one pass, and the regional-sales pathway still assumes a human picking a country before a contact appears.", "de": "Airbus fehlt nicht Produkttiefe; es fehlt das agent-lesbare Pinning, das eine tiefe Menschen-Surface in eine zitierfähige verwandelt. Die H145-Seite trägt die Spec, die ein Käufer braucht, und das Sales-Formular ist echt. Aber ein Agent, der ein RFQ zusammenstellt, kann die Donauwörth-Referenz und die Cat-A-Formulierung nicht in einem Durchgang von der Seite ankern, und der Regional-Sales-Pfad setzt weiter einen Menschen voraus, der ein Land wählt, bevor ein Kontakt erscheint." }, "evidence": { "en": "Agents read the H145 and reach the live sales form; the locked variant never fully pins. Asked for a twin-engine EMS helicopter without the brand name, the agent reaches Airbus just under half the time.", "de": "Agenten lesen den H145 und erreichen das echte Sales-Formular; die gelockte Variante pinnt nie ganz. Nach einem zweimotorigen EMS-Hubschrauber ohne Markennamen gefragt, erreicht der Agent Airbus knapp unter der Hälfte der Fälle." }, "question": { "en": "The question this raises: where would deeper Action-pathway measurement — handoff stability, deep-link routing, structured booking endpoints — sharpen the read?", "de": "Die Frage daraus: Wo würde tiefere Action-Pfad-Messung — Handoff-Stabilität, Deep-Link-Routing, strukturierte Booking-Endpunkte — die 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": "An answer surface that pins the locked H145 facts in extractable form: variant, MTOW, assembly site, certification wording. And an RFQ pathway reachable from the product page without the country-selector detour. Citeable evidence beats deep PDFs here; the agent quotes what it can anchor.", "de": "Eine Answer-Surface, die die gelockten H145-Fakten extrahierbar pinnt: Variante, MTOW, Montagestandort, Zertifizierungs-Formulierung. Und ein RFQ-Pfad, der von der Produktseite aus erreichbar ist, ohne den Länder-Selektor-Umweg. Zitierfähige Evidenz schlägt hier tiefe PDFs; der Agent zitiert, was er ankern kann." }, "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%20Airbus" }, { "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%20Airbus" }, { "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%20Airbus" } ] }, "sources": [ { "id": "S1", "label": "Gate-1 audit run · Airbus Wave Q2 2026 (Cody, dispatched 2026-05-26)", "accessedAt": "2026-05-26", "supports": [ "AI Visibility score", "the close state reached (quote_ready)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize audit pipeline" }, { "id": "S2", "label": "a fleet wave aerospace + defence wave · Airbus phase 1-4 (Giorgio repo, dispatched 2026-05-26)", "accessedAt": "2026-05-26", "supports": [ "the per-breed access profile (Phase 1-4 pending)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S3", "label": "Task Selection Doctrine", "accessedAt": "2026-05-26", "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" ] } }