{ "format": "hyperize/v1", "@id": "https://www.hyperize.ai/en/dax40-index/brands/dhl.json", "type": "BrandScore", "pageType": "BrandScore", "releaseState": "pilot_probe", "releaseLabel": "Pilot Probe", "title": "DHL Group — 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 to ship a parcel and DHL comes up just under half the time, strong on mass-market discovery, not yet dominant. Once an agent arrives, the surface is excellent: every agent class read the exact €7.69 price across three runs, with zero deviation. The franking wizard opens with no login; the only wall is the checkout, behind a login no agent tested. DHL owns its channel. The open edges: B2B breadth and that final step.", "de": "Bittet man einen Agenten, ein Paket zu versenden, taucht DHL knapp zur Hälfte der Fälle auf, stark in der Massenmarkt-Discovery, aber nicht dominant. Sobald ein Agent ankommt, ist die Surface exzellent: jede Agent-Klasse las den exakten Preis von €7,69 über drei Läufe, null Abweichung, direkt aus maschinenlesbarer Auszeichnung. Der Frankier-Wizard öffnet ohne Login; die einzige Wall ist der Checkout, hinter einem Login, das kein Agent getestet hat. DHL besitzt seinen Kanal direkt. Die offenen Kanten: B2B-Breite und dieser letzte Schritt." }, "summary": { "en": "The core shipping flow is agent-ready; checkout and B2B breadth are the open edges.", "de": "Der Kern-Versandfluss ist agent-ready; Checkout und B2B-Breite sind die offenen Kanten." }, "brandName": "DHL Group", "legalEntity": "Deutsche Post AG", "daxTicker": "DHL", "sector": "logistics", "sectorLabel": "Logistics", "inLanguage": "en", "datePublished": "2026-05-18", "dateModified": "2026-05-22", "nextReview": "2026-09-30", "confidence": "C", "evidenceTier": "proprietary", "wave": "WAVE-Q2-2026-PILOT", "url": "https://www.hyperize.ai/en/dax40-index/brands/dhl", "alternateLanguage": { "de": "https://www.hyperize.ai/de/dax40-index/brands/dhl" }, "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": 46.04, "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": 68, "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": "order_ready", "closeStateNote": "Reaches order-ready (product selection, prices, no login). The actual checkout sits behind a login wall and was NOT tested — the agentic purchase is unproven.", "methodVersion": "fleet/measured", "provenance": "measured" }, "evidence": { "score": 85, "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": 65.31, "scale100": 65.31, "scale10": 6.5, "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": 46.04, "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": 68, "derivation": "usability-derivation/v1", "basis": "derived from the access profile (per-class outcomes) + close state" }, "evidence": { "name": "Evidence", "weight": 0.1, "value": 85, "methodVersion": "fleet/measured" } } }, "thirdPartyInterception": { "classification": "none", "classificationLabel": "None", "directShare": 0.85, "intermediaryShare": 0.15, "intermediaryCaptureExamples": [], "narrative": { "en": "Consumer logistics intent reaches dhl.de directly. The remaining intermediary capture sits in B2B freight comparison, a smaller, niche category, and does not materially displace the brand in agent recommendations. Reference architecture for the v3 pilot sample.", "de": "Consumer-Logistik-Intent erreicht dhl.de direkt. Der verbleibende Intermediär-Capture liegt im B2B-Fracht-Vergleich, eine kleinere Nische, und verdrängt die Marke in agentischen Empfehlungen nicht wesentlich. Referenzarchitektur für das v3-Piloten-Sample." } }, "bottleneck": { "type": "none", "classification": { "en": "No dominant gap", "de": "Keine dominante Lücke" }, "classificationNote": { "en": "Reference-grade, the open question is breadth.", "de": "Referenz-Niveau, die offene Frage ist Breite." }, "sentence": { "en": "The core shipping flow is agent-ready; checkout and B2B breadth are the open edges.", "de": "Der Kern-Versandfluss ist agent-ready; Checkout und B2B-Breite sind die offenen Kanten." }, "executiveSummary": { "en": "The surface is near-flawless on the core task; the gap is being found for broader queries, and the checkout wall no agent can pass.", "de": "Die Surface ist auf der Kern-Aufgabe nahezu makellos; die Lücke ist das Gefundenwerden bei breiteren Queries, und die Checkout-Wall, die kein Agent passieren kann." } }, "testNarrative": { "verdict": { "en": "Every agent type. Every run. 0% error.", "de": "Jeder Agent-Typ. Jeder Lauf. 0% Fehler." }, "narrative": { "en": "We asked five kinds of AI agent to price a 5 kg parcel on dhl.de. The simplest one, a plain fetch with no browser, had the answer on the first request: €7.69, sitting in machine-readable structured data. The browser agents ran the franking wizard end to end with no login, and returned €7.69 on all three runs, zero deviation. The only door no agent opened was the final checkout, behind a login.", "de": "Wir haben fünf Typen von KI-Agenten auf dhl.de geschickt, um ein 5-kg-Paket zu kalkulieren. Der einfachste, ein simpler Abruf ohne Browser, hatte die Antwort schon beim ersten Request: €7,69, hinterlegt in maschinenlesbarer strukturierter Auszeichnung. Die Browser-Agenten durchliefen den Frankier-Wizard komplett ohne Login und lieferten €7,69 in allen drei Läufen, null Abweichung. Die einzige Tür, die kein Agent öffnete, war der finale Checkout hinter einem Login." }, "scopeShift": { "en": "This is one service. DHL offers express, freight, international shipping, returns, and business logistics. Each has its own pricing structure and booking flow.", "de": "Das ist ein Service. DHL bietet Express, Fracht, internationale Versendung, Retouren und Business-Logistik. Jeweils mit eigener Preislogik und Buchungsstrecke." }, "agentMatrix": [ { "type": "text", "status": "success" }, { "type": "search", "status": "pending", "note": "LLM runs pending" }, { "type": "code", "status": "success" }, { "type": "browser", "status": "success" }, { "type": "full_automation", "status": "success" } ] }, "fairnessDeclaration": { "reviewPassed": false, "note": "Q2 2026 audit complete on a single task (Paket Inland Standard), scored under the public Task Selection Doctrine. AI Visibility re-audited 2026-05-23 on an unbranded informational probe (46.04, refining the 2026-05-22 first re-baseline of 48.75) so DHL sits on the same unbranded discovery basis as the rest of the index. Fairness Review pending the sector fairness grid.", "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection", "sectorGridRef": null }, "activeTasks": [ { "title": { "en": "DHL Paket Inland Standard", "de": "DHL Paket Inland Standard" }, "closeState": "order_ready", "intermediaryMode": "none", "businessRelevance": null, "difficultyBand": null, "engpass": { "en": "B2B freight-comparison intent retained by intermediaries; consumer tracking is direct.", "de": "B2B-Fracht-Vergleichs-Intent wird von Intermediären gehalten; Consumer-Tracking läuft direkt." } } ], "scoreHistory": [ { "date": "2026-05-15", "quarter": "Q2 2026", "waveId": "a fleet wave", "protocolVersion": "v1-hand-assessment", "summary": "First-pass hand assessment from the a fleet wave era. Superseded by the v3 audit-derived measurement below." }, { "date": "2026-05-18", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-PILOT", "protocolVersion": "ars-methodology/v1.1", "summary": "v3 audit-derived AI Visibility (56.39, 18/18 valid datapoints across 3 providers). AI Usability from a fleet wave Gate-2 phases, HTTP/Coding success, Browser 3/3 at €7.69, ACT order-ready." }, { "date": "2026-05-22", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-PILOT", "protocolVersion": "ars-methodology/v1.1", "summary": "AI Visibility re-audited on an unbranded informational probe (48.75, was 56.39 with a branded informational that inflated discovery). Brings DHL onto the same unbranded basis as the rest of the index. AI Usability unchanged (core franking flow agent-ready). Composite recomputed two-axis to 65.85; the retired hand-C/A (100/100) and the 4-dimension composite (89.78) were removed. 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": "strong", "archetypeLabel": { "en": "balanced surface", "de": "balancierter Surface" }, "source": "brand", "diagnosis": { "en": "On product discovery, DHL is already reference-grade where the task is direct, agents find the surface, read the price logic, reach order-ready. The gap isn't completion; it's breadth. Measured: one consumer parcel flow (standard domestic). Open: whether the same quality holds across express, returns, international, and B2B freight.", "de": "In der Produkt-Discovery ist DHL bereits Referenz-Niveau, wo die Aufgabe direkt ist, Agenten finden die Surface, lesen die Preislogik, erreichen Order-ready. Die Lücke ist nicht der Abschluss; es ist die Breite. Gemessen: ein Consumer-Paket-Flow (Standard Inland). Offen: ob dieselbe Qualität über Express, Retouren, International und B2B-Fracht hält." }, "evidence": { "en": "The core shipping flow is agent-ready; checkout and B2B breadth are the open edges.", "de": "Der Kern-Versandfluss ist agent-ready; Checkout und B2B-Breite sind die offenen Kanten." }, "question": { "en": "The question this raises: where would a broader slate confirm reference-grade — or surface a hidden dimension where performance is thinner than the headline score suggests?", "de": "Die Frage daraus: Wo würde ein breiteres Slate die Referenzqualität bestätigen — oder eine versteckte Dimension aufdecken, in der die Performance dünner ist, als der Score zeigt?" }, "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": "Scale, not repair. Extend the proven surface across express, returns, international, and B2B freight, then re-run the fleet to prove the lead holds across the full logistics category.", "de": "Skalierung, nicht Reparatur. Die bewährte Surface über Express, Retouren, International und B2B-Fracht ausweiten, dann die Fleet erneut laufen lassen, um zu belegen, dass der Vorsprung über die volle Logistik-Kategorie hält." }, "proof": { "en": "The proof isn't usage once reached. It's DHL selected directly across more logistics clusters than the one measured, re-tested the same way each wave.", "de": "Der Beweis ist nicht Nutzung, sobald erreicht. Es ist, dass DHL direkt über mehr Logistik-Cluster gewählt wird als den einen gemessenen, mit jeder Wave auf dieselbe Weise neu getestet." }, "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%20DHL%20Group" }, { "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%20DHL%20Group" }, { "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%20DHL%20Group" } ] }, "sources": [ { "id": "S1", "label": "Gate-1 audit run · DHL Wave Q2 2026 (unbranded re-audit,)", "accessedAt": "2026-05-22", "supports": [ "AI Visibility score (audit-derived, 18/18 valid datapoints, unbranded informational probe)", "AI platforms queried (openai/perplexity/anthropic, 3-provider track)", "the close state reached (order_ready)" ], "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; source for C/A/E)", "accessedAt": "2026-05-16", "supports": [ "AI Usability and Evidence inputs", "fleet test outcomes (legacy)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S3", "label": "a fleet wave act phase (Giorgio repo, legacy reference)", "accessedAt": "2026-05-18", "supports": [ "act phase verification (status=success, 3/3 steps)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S4", "label": "Task Selection Doctrine", "accessedAt": "2026-05-18", "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" ] } }