{ "format": "hyperize/v1", "@id": "https://www.hyperize.ai/en/dax40-index/brands/porsche.json", "type": "BrandScore", "pageType": "BrandScore", "releaseState": "pilot_probe", "releaseLabel": "Pilot Probe", "title": "Porsche — 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": "The €136,300 911 Carrera is the cleanest agent surface in this wave. A plain reader fetches porsche.com and finds the formatted price 136.300,00 € sitting in the server-rendered HTML alongside the embedded JSON state. A coding agent extracts it from the rendered body in one pass. Three browser runs each finished a complete 10-step configuration with zero price delta. The most expensive German car in the wave is also the easiest one for an AI agent to actually buy.", "de": "Der €136.300 911 Carrera ist die sauberste Agent-Surface in dieser Wave. Ein einfacher Reader ruft porsche.com ab und findet den formatierten Preis 136.300,00 € im server-gerenderten HTML neben dem eingebetteten JSON-State. Ein Coding-Agent extrahiert ihn in einem Durchgang aus dem gerenderten Body. Drei Browser-Runs schlossen jeweils eine vollständige 10-Schritt-Konfiguration mit null Preis-Delta ab. Das teuerste deutsche Auto in der Wave ist auch das einfachste, das ein KI-Agent tatsächlich kaufen kann." }, "summary": { "en": "Porsche.com is server-rendered with embedded JSON state; every measured agent class reaches the configured price of €136,300.", "de": "Porsche.com ist server-gerendert mit eingebettetem JSON-State; jede gemessene Agent-Klasse erreicht den konfigurierten Preis von €136.300." }, "brandName": "Porsche", "legalEntity": "Dr. Ing. h.c. F. Porsche AG", "daxTicker": "P911", "sector": "automotive", "sectorLabel": "Automotive", "inLanguage": "en", "datePublished": "2026-05-18", "dateModified": "2026-05-24", "nextReview": "2026-09-30", "confidence": "C", "evidenceTier": "proprietary", "wave": "WAVE-Q2-2026-W4-AUTOMOTIVE", "url": "https://www.hyperize.ai/en/dax40-index/brands/porsche", "alternateLanguage": { "de": "https://www.hyperize.ai/de/dax40-index/brands/porsche" }, "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": 43.92, "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": 50, "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": "pending" } ], "blockedClasses": [], "passClasses": [ "text", "code", "browser" ], "closeState": "config_ready", "closeStateNote": null, "methodVersion": "fleet/measured", "provenance": "measured" }, "evidence": { "score": 80, "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": 51.78, "scale100": 51.78, "scale10": 5.2, "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": 43.92, "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": 50, "derivation": "usability-derivation/v1", "basis": "derived from the access profile (per-class outcomes) + close state" }, "evidence": { "name": "Evidence", "weight": 0.1, "value": 80, "methodVersion": "fleet/measured" } } }, "thirdPartyInterception": { "classification": "none", "classificationLabel": "None", "directShare": 0, "intermediaryShare": 0, "intermediaryCaptureExamples": [], "narrative": { "en": "Channel position pending the Wave 4 Cody Gate-1 audit response analysis. The pre-measurement expectation, based on the ultra-premium market shape, is that own channel is strong for new-car Carrera intent; the Porsche Approved used-car program competes with mobile.de and a narrower set of premium-only marketplaces, but the measured Wave 4 task is new-car configuration, so used-car displacement falls outside this measurement.", "de": "Third-Party Interception steht aus, bis die Wave-4-Cody-Gate-1-Audit-Antworten analysiert sind. Die Vor-Messungs-Erwartung, basierend auf der Ultra-Premium-Marktform, ist, dass der eigene Kanal stark ist für Neuwagen-Carrera-Intent; das Porsche-Approved-Gebrauchtwagen-Programm konkurriert mit mobile.de und einer engeren Auswahl rein-premiumer Marktplätze, aber der gemessene Wave-4-Task ist Neuwagen-Konfiguration, also fällt Gebrauchtwagen-Verdrängung außerhalb dieser Messung." } }, "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": "Porsche.com is server-rendered with embedded JSON state; every measured agent class reaches the configured price of €136,300.", "de": "Porsche.com ist server-gerendert mit eingebettetem JSON-State; jede gemessene Agent-Klasse erreicht den konfigurierten Preis von €136.300." }, "executiveSummary": { "en": "Porsche has the agent surface most automotive brands aspire to. SSR React with embedded JSON state, prices in raw HTML, three of three browser runs at price-perfect with the ground truth. The open question is breadth, not direction: this is one model out of a portfolio across 911, Taycan, Macan, Cayenne, Panamera.", "de": "Porsche hat die Agent-Surface, die die meisten Automotive-Marken anstreben. SSR React mit eingebettetem JSON-State, Preise im rohen HTML, drei von drei Browser-Runs preis-genau mit dem Ground Truth. Die offene Frage ist Breite, nicht Richtung: das ist ein Modell aus einem Portfolio über 911, Taycan, Macan, Cayenne, Panamera." } }, "testNarrative": { "verdict": { "en": "Three browser runs, three perfect prices. The 911 reads itself out.", "de": "Drei Browser-Runs, drei perfekte Preise. Der 911 liest sich selbst aus." }, "narrative": { "en": "We asked five kinds of AI agent to configure a Porsche 911 Carrera at porsche.com. The plain reader fetched the page and got the full HTML with the formatted price 136.300,00 € sitting beside the embedded JSON state — no JavaScript execution needed. The coding agent connected via CDP, waited for the SPA to render, and extracted the price from the body text in one regex match. Three browser runs each completed a 10-step configuration, every step accounted for, the final price exactly €136,300 with zero delta from the ground truth.", "de": "Wir haben fünf Typen von KI-Agenten auf porsche.com geschickt, um einen 911 Carrera zu konfigurieren. Der einfache Reader rief die Seite ab und bekam das volle HTML mit dem formatierten Preis 136.300,00 € neben dem eingebetteten JSON-State, keine JavaScript-Ausführung nötig. Der Coding-Agent verband sich via CDP, wartete auf das SPA-Rendering und extrahierte den Preis in einem Regex-Match aus dem Body-Text. Drei Browser-Runs schlossen jeweils eine 10-Schritt-Konfiguration ab, jeder Schritt nachvollzogen, der Endpreis exakt €136.300 mit null Delta zum Ground Truth." }, "scopeShift": { "en": "This is one variant of one model. Porsche offers 911 with multiple Carrera, Targa, Turbo, GT trims, plus Taycan, Macan, Cayenne, Panamera, and the Porsche Approved used-car program.", "de": "Das ist eine Variante eines Modells. Porsche bietet den 911 mit mehreren Carrera-, Targa-, Turbo-, GT-Varianten, plus Taycan, Macan, Cayenne, Panamera und das Porsche Approved Gebrauchtwagen-Programm." }, "agentMatrix": [ { "type": "text", "status": "success", "note": "SSR React, full HTML with embedded JSON state, formatted price 136.300,00 € in raw response" }, { "type": "search", "status": "pending", "note": "Wave 4 Cody Gate-1 in progress" }, { "type": "code", "status": "success", "note": "Playwright CDP, regex extracted 136300.00 in one pass" }, { "type": "browser", "status": "success", "note": "3 of 3 runs reached config-ready, 0 percent delta on every run" }, { "type": "full_automation", "status": "pending", "note": "act-phase capture queued for Wave 4 enrichment" } ] }, "fairnessDeclaration": { "reviewPassed": false, "note": "Wave 4 Q2 2026 audit complete on a single task (Porsche 911 Carrera, config-ready close state), scored under the public Task Selection Doctrine. AI Visibility from Cody Gate-1 on an unbranded informational probe for ultra-premium sports cars. AI Usability derived from a fleet wave phases 1-3 (ceiling + http + coding + browser-agent, 2026-03-29); the act-phase was not captured in a fleet wave for Porsche, so the full_automation row of the agent_matrix is marked pending and the derived usability is summarised from 3 measured breeds (all three succeeded). Fairness Review pending the sector fairness grid.", "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection", "sectorGridRef": null }, "activeTasks": [ { "title": { "en": "Porsche 911 Carrera", "de": "Porsche 911 Carrera" }, "closeState": "config_ready", "intermediaryMode": "none", "businessRelevance": null, "difficultyBand": null, "engpass": { "en": "No measured engpass on the configurator surface itself; every breed that ran reached config-ready with zero price delta. Discovery breadth and used-car routing are open questions for a future wave.", "de": "Kein gemessener Engpass auf der Konfigurator-Surface selbst; jede Klasse, die lief, erreichte Config-ready mit null Preis-Delta. Discovery-Breite und Gebrauchtwagen-Routing sind offene Fragen für eine zukünftige Wave." } } ], "scoreHistory": [ { "date": "2026-03-29", "quarter": "q1-2026", "waveId": "a fleet wave", "protocolVersion": "fleet/measured", "summary": "First-pass fleet measurement: Porsche 911 Carrera (GT €136.300) across ceiling + http + coding + browser-agent breeds. SSR React with embedded JSON state, price reachable in raw HTML, browser-agent achieved 3 of 3 successes at price-perfect with the ground truth." }, { "date": "2026-05-24", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-W4-AUTOMOTIVE", "protocolVersion": "ars-methodology/v1.1", "summary": "Wave 4 kickoff. Cody Gate-1 audit running on unbranded informational probe for ultra-premium sports cars. AI Usability carried from a fleet wave access profile, no act-phase data for Porsche in that wave so the full_automation row is marked pending." } ], "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, Porsche has the surface most automotive brands aspire to. The 911 Carrera is configurable by every measured agent class, the price is correct to the cent on every run, and the choice of architecture, server-rendered React with the JSON state in the HTML, is exactly what a machine reader wants. The open question is not direction. It is breadth, whether this quality holds across 911 trims, across Taycan, Macan, Cayenne, Panamera, across the Porsche Approved used-car surface.", "de": "In der Produkt-Discovery hat Porsche die Surface, die die meisten Automotive-Marken anstreben. Der 911 Carrera ist von jeder gemessenen Agent-Klasse konfigurierbar, der Preis ist auf den Cent genau in jedem Run, und die Architektur-Wahl, server-gerendertes React mit dem JSON-State im HTML, ist genau das, was ein maschineller Reader will. Die offene Frage ist nicht Richtung. Es ist Breite, ob diese Qualität über 911-Trims hinweg hält, über Taycan, Macan, Cayenne, Panamera, über die Porsche Approved Gebrauchtwagen-Surface." }, "evidence": { "en": "Porsche.com is server-rendered with embedded JSON state; every measured agent class reaches the configured price of €136,300.", "de": "Porsche.com ist server-gerendert mit eingebettetem JSON-State; jede gemessene Agent-Klasse erreicht den konfigurierten Preis von €136.300." }, "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": "Porsche does not need a Reference Page to fix the configurator. It needs Reference Pages to extend the proof, one per model line, so an agent asking about a Taycan reaches the same caliber of surface as the agent that asked about the 911. The leverage is Answer Pages for the buyer questions that come before the configurator opens, and an Index that confirms the surface is consistent across the portfolio.", "de": "Porsche braucht keine Reference Page, um den Konfigurator zu reparieren. Es braucht Reference Pages, um den Beweis auszudehnen, eine pro Modelllinie, damit ein Agent, der nach einem Taycan fragt, auf das gleiche Surface-Niveau trifft wie der Agent, der nach dem 911 gefragt hat. Der Hebel sind Answer Pages für die Käufer-Fragen, die vor dem Öffnen des Konfigurators kommen, und ein Index, der bestätigt, dass die Surface über das Portfolio konsistent ist." }, "proof": { "en": "The proof is not a polished single model. It is the same agent-readability scored across the rest of the portfolio, re-measured each wave.", "de": "Der Beweis ist nicht ein poliertes Einzelmodell. Es ist die gleiche Agent-Readability gemessen über den Rest des Portfolios, 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%20Porsche" }, { "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%20Porsche" }, { "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%20Porsche" } ] }, "sources": [ { "id": "S1", "label": "Gate-1 audit run · Porsche Wave Q2 2026 (Cody, unbranded informational)", "accessedAt": "2026-05-24", "supports": [ "AI Visibility score (audit-derived, 18 datapoints, 3 providers)", "AI platforms queried (openai/perplexity/anthropic, 3-provider track)", "the close state reached (config_ready)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize audit pipeline" }, { "id": "S2", "label": "a fleet wave automotive wave · Porsche phase 1-3 (Giorgio repo)", "accessedAt": "2026-03-29", "supports": [ "the per-breed access profile (text/code/browser observations)", "the SSR React + embedded JSON state finding", "the browser-agent pass rate (3 of 3 runs, 0 percent delta)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S3", "label": "Ground-truth ceiling run · Porsche 911 Carrera (€136.300)", "accessedAt": "2026-03-29", "supports": [ "Ground-truth price €136.300 (Weiss uni 0€, 19/20-inch Carrera Räder Serie, model year 2026)", "10-step konfigurator path" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S4", "label": "Task Selection Doctrine", "accessedAt": "2026-05-24", "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" ] } }