{ "format": "hyperize/v1", "@id": "https://www.hyperize.ai/en/dax40-index/brands/symrise.json", "type": "BrandScore", "pageType": "BrandScore", "releaseState": "pilot_probe", "releaseLabel": "Pilot Probe", "title": "Symrise — 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": "Symrise sells to businesses. Cosmetics brands and food formulators end up at a sample portal, not a checkout. Before that, an AI agent has to find Symrise in a four-vendor market led by Givaudan, next to IFF and dsm-firmenich. Symrise is the smallest of the four global majors. Our test asks two things: does an unbranded question about a bergamot top note reach Symrise at all, and once there, can an agent match that note to a concrete product and a sample.", "de": "Symrise verkauft an Unternehmen. Kosmetikmarken und Food-Formulierer landen auf einem Muster-Portal, nicht an einer Kasse. Davor muss ein KI-Agent Symrise erst in einem Vier-Anbieter-Markt finden, den Givaudan anführt, neben IFF und dsm-firmenich. Symrise ist der kleinste der vier globalen Großen. Unser Test prüft zweierlei: ob eine markenfreie Frage nach einer Bergamotte-Kopfnote überhaupt bei Symrise ankommt, und ob ein Agent dort angekommen diese Note einem konkreten Produkt und einem Muster zuordnen kann." }, "summary": { "en": "Symrise fixed the stall: concrete bergamot products now exist on symrise.com, but only inside the structured data; the visible text never says bergamot.", "de": "Symrise hat den Stillstand behoben: Konkrete Bergamotte-Produkte existieren jetzt auf symrise.com, aber nur in den strukturierten Daten; der sichtbare Text nennt Bergamotte nie." }, "brandName": "Symrise", "legalEntity": "Symrise AG", "daxTicker": "SY1", "sector": "chemicals_materials", "sectorLabel": "Chemicals & Materials", "inLanguage": "en", "datePublished": "2026-05-18", "dateModified": "2026-07-21", "nextReview": "2026-09-30", "confidence": "C", "evidenceTier": "proprietary", "wave": "WAVE-Q2-2026-W6-CHEMICALS", "url": "https://www.hyperize.ai/en/dax40-index/brands/symrise", "alternateLanguage": { "de": "https://www.hyperize.ai/de/dax40-index/brands/symrise" }, "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": true, "status": "measured" }, { "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 } ], "talentLane": { "status": "measured", "wave": "TALENT-WAVE-Q3-2026", "visibility": { "status": "in_measurement", "note": "The AI Visibility audit for the talent lane has not landed; no lane composite until both axes are measured." }, "usability": { "question": "Can a candidate's agent find the posting, extract the spec, and reach the application entry?", "statement": { "en": "Every access class we can test without a browser hits the same wall: the Symrise career surface is a pure client-side single-page app, so the Cloud Engineer posting (req EA02813, Barcelona / Holzminden, Germany / Clichy) exists and is corroborated by three independent aggregator mirrors, but neither the job title nor a single requirement line is present in the raw HTML an agent without JavaScript execution would receive.", "de": "Jede Zugriffsklasse, die wir ohne Browser prüfen können, stößt auf dieselbe Wand: Die Symrise-Karriereseite ist eine reine Client-Side-SPA. Die Cloud-Engineer-Stelle (Req EA02813, Barcelona / Holzminden, Deutschland / Clichy) existiert nachweislich (drei unabhängige Aggregator-Spiegel), aber weder Jobtitel noch eine einzige Anforderungszeile stehen im rohen HTML, das ein Agent ohne JavaScript-Ausführung erhält." }, "closeState": "blocked", "accessProfile": [ { "class": "http", "outcome": "blocked", "note": "Both the career-hub wrapper (www.symrise.com/your-career/search-and-apply/, HTTP 200, 97125 bytes) and the direct ATS host (symrise.recruitmentplatform.com/internal/index.html, HTTP 200, 4987 bytes) return static shells" }, { "class": "coding", "outcome": "blocked", "note": "No JobPosting JSON-LD present on any of the three fetched pages (grep for \"application/ld+json\" returns nothing on the lock URL). No HTML-parseable job title, requirements, or location text either — the job list and JD c" }, { "class": "browser", "outcome": "untested", "note": null } ], "derivedScore": 3, "ruleVersion": "talent-usability-derivation/v1", "notCovered": { "en": "Not tested: form submission, login/account creation, and CV/cover-letter upload on the Talentlink apply flow — no login was attempted, no form was filled, and no application was ever submitted. The apply-entry URL itself returned HTTP 400 (missing site identifier) on a bare GET, so even login-requirement and artifact-requirement facts could not be read off without JS execution; this measurement only covers the HTTP/coding-class reachability of the posting and apply entry, not the full submission path.", "de": "Nicht getestet: Formularabsendung, Login/Kontoerstellung sowie CV-/ Anschreiben-Upload im Talentlink-Bewerbungsflow — es wurde weder ein Login versucht noch ein Formular ausgefüllt oder eine Bewerbung abgeschickt. Die Apply-Einstiegs-URL selbst lieferte bei einem reinen GET HTTP 400 (\"Missing Site Identifier\"), sodass selbst Login- und Artefakt-Anforderungen ohne JavaScript-Ausführung nicht ablesbar waren; diese Messung deckt nur die HTTP-/Coding-Erreichbarkeit der Stelle und des Apply-Einstiegs ab, nicht den vollständigen Bewerbungspfad." }, "frozenTask": { "title": { "en": "Find an open Cloud/DevOps Engineer role on Symrise's own career surface and prepare the application", "de": "Finde eine offene Cloud/DevOps-Engineer-Stelle auf Symrises eigener Karriereseite und bereite die Bewerbung vor" }, "roleVariant": "cloud_devops", "lockedAt": "2026-07-02" } }, "evidence": { "value": 65 }, "composite": null, "fairnessNote": { "en": "This measurement covers automated access to Symrise's own career pages only. The tested Cloud Engineer posting (req EA02813, listed for Barcelona, Holzminden and Clichy) was live and independently corroborated on the lock date, and the low usability result reflects one specific property: the pages, served by the Talentlink recruiting platform Symrise uses, deliver no job content without JavaScript execution. Browser-based agents were not tested and are marked as such, no application was submitted and no forms were filled, and Symrise's presence on job boards such as LinkedIn or StepStone is recorded in a separate visibility measurement.", "de": "Diese Messung betrifft ausschließlich den automatisierten Zugriff auf die Symrise-eigenen Karriereseiten. Die getestete Cloud-Engineer-Stelle (Req EA02813, ausgeschrieben für Barcelona, Holzminden und Clichy) war am Stichtag live und unabhängig bestätigt; das niedrige Usability-Ergebnis beruht auf einer konkreten Eigenschaft: Die Seiten, ausgeliefert über die von Symrise genutzte Recruiting-Plattform Talentlink, geben ohne JavaScript-Ausführung keinerlei Stelleninhalte aus. Browser-basierte Agents wurden nicht getestet und sind entsprechend gekennzeichnet, es wurde keine Bewerbung abgeschickt und kein Formular ausgefüllt, und die Präsenz von Symrise auf Jobbörsen wie LinkedIn oder StepStone wird in einer separaten Sichtbarkeitsmessung erfasst." } }, "commercialLane": { "visibility": { "question": "Will an agent find and recommend the brand?", "score": 36.28, "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": 44, "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": "partial" }, { "agentClass": "code", "outcome": "success" }, { "agentClass": "browser", "outcome": "pending" }, { "agentClass": "full_automation", "outcome": "pending" } ], "blockedClasses": [], "passClasses": [ "code" ], "closeState": "sample_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": 44.56, "scale100": 44.56, "scale10": 4.5, "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/v1.2", "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": 36.28, "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": 44, "derivation": "usability-derivation/v1.2", "basis": "derived from the access profile (per-class outcomes) + close state" }, "evidence": { "name": "Evidence", "weight": 0.1, "value": 65, "methodVersion": "structural-default/e65" } } }, "thirdPartyInterception": { "classification": "none", "classificationLabel": "None", "directShare": 0, "intermediaryShare": 0, "intermediaryCaptureExamples": [], "narrative": { "en": "B2B specialty fragrance has no displacing marketplace intermediary; the sample flow closes on Symrise's own portal. The competitive risk is direct vendor substitution (Givaudan, dsm-firmenich, IFF) rather than aggregator capture.", "de": "B2B-Specialty-Fragrance hat keinen verdrängenden Marktplatz-Intermediär; der Muster-Flow schließt auf Symrises eigenem Portal ab. Das Wettbewerbsrisiko ist direkte Vendor-Substitution (Givaudan, dsm-firmenich, IFF), nicht Aggregator-Capture." } }, "bottleneck": { "type": "dual", "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": "Symrise fixed the stall: concrete bergamot products now exist on symrise.com, but only inside the structured data; the visible text never says bergamot.", "de": "Symrise hat den Stillstand behoben: Konkrete Bergamotte-Produkte existieren jetzt auf symrise.com, aber nur in den strukturierten Daten; der sichtbare Text nennt Bergamotte nie." }, "executiveSummary": { "en": "Both axes are measured. AI Visibility live: 18 measurements across three AI providers, all valid. AI Usability from the July 2026 fleet phases, and they overturn the Q2 verdict. In Q2, agents could not match the bergamot top note to any concrete product on symrise.com; the test stalled. The surface has changed. The Ingredient Finder now server-renders 213 products as structured data, seven of them carry bergamot in their descriptions, and the page links a reachable sample-request cart. The remaining gap is precision-shaped: the bergamot mapping lives only in the JSON-LD, the visible text and the odor filter say citrus. A code-capable agent finds the product and the sample path. A text-only agent still cannot see the word bergamot anywhere.", "de": "Beide Achsen sind gemessen. AI Visibility live: 18 Messungen über drei KI-Anbieter, alle gültig. AI Usability aus den Fleet-Phasen vom Juli 2026, und die kippen das Q2-Verdikt. In Q2 konnten Agenten die Bergamotte-Kopfnote keinem konkreten Produkt auf symrise.com zuordnen; der Test blieb stehen. Die Surface hat sich geändert. Der Ingredient Finder rendert jetzt 213 Produkte als strukturierte Daten server-seitig, sieben davon tragen Bergamotte in der Beschreibung, und die Seite verlinkt einen erreichbaren Muster-Warenkorb. Die verbleibende Lücke ist eine Präzisionslücke: Die Bergamotte-Zuordnung lebt nur im JSON-LD, der sichtbare Text und der Duftfilter sagen Citrus. Ein Code-fähiger Agent findet Produkt und Muster-Pfad. Ein reiner Text-Agent sieht das Wort Bergamotte weiterhin nirgends." } }, "testNarrative": { "verdict": { "en": "The stall is fixed. Machines can find Symrise's bergamot. Humans reading the page still cannot.", "de": "Der Stillstand ist behoben. Maschinen finden Symrises Bergamotte. Wer den Seitentext liest, weiterhin nicht." }, "narrative": { "en": "We test a real buyer scenario: a formulator needs a bergamot top note. The visibility pass asked three AI providers the question three ways: 18 measurements, all valid, zero errors.\n\nThe Q2 fleet test stalled: no agent could match the bergamot top note to a concrete product on symrise.com. The July 2026 re-probe overturns that. The Ingredient Finder now serves 213 products as server-rendered structured data. Seven carry bergamot in their descriptions, with SKU, CAS number and brand attached. The sample-request cart is one reachable link away.\n\nOne gap remains, and it is precise: the word bergamot exists only in the structured data. The visible page text and the odor-family filter say citrus. A coding agent finds the product; a text-reading agent walks past it.", "de": "Wir testen ein reales Einkaufsszenario: Ein Formulierer braucht eine Bergamotte-Kopfnote. Der Visibility-Pass hat drei KI-Anbietern die Frage auf drei Arten gestellt: 18 Messungen, alle gültig, null Fehler.\n\nDer Q2-Fleet-Test blieb stehen: Kein Agent konnte die Bergamotte-Kopfnote einem konkreten Produkt auf symrise.com zuordnen. Die Re-Probe vom Juli 2026 kippt das. Der Ingredient Finder liefert jetzt 213 Produkte als server-gerenderte strukturierte Daten. Sieben tragen Bergamotte in der Beschreibung, mit SKU, CAS-Nummer und Marke. Der Muster-Warenkorb ist einen erreichbaren Link entfernt.\n\nEine Lücke bleibt, und sie ist präzise: Das Wort Bergamotte existiert nur in den strukturierten Daten. Der sichtbare Seitentext und der Duftfamilien-Filter sagen Citrus. Ein Coding-Agent findet das Produkt; ein Text-lesender Agent läuft daran vorbei." }, "scopeShift": null, "agentMatrix": [ { "type": "text", "status": "partial", "note": "The Ingredient Finder renders product names as readable text, but the word bergamot appears only in the JSON-LD blocks; the visible odor filter says citrus" }, { "type": "search", "status": "partial", "note": "the AI Visibility pass 18/18 valid across openai/perplexity/anthropic (Gate 1); visibility measured, not part of the usability derivation" }, { "type": "code", "status": "success", "note": "213 server-rendered Product JSON-LD blocks parse without JS; seven SKUs carry bergamot in their descriptions, and the page links the GET-reachable sample-request cart" }, { "type": "browser", "status": "pending", "note": "phase 3 pending (a later wave)" }, { "type": "full_automation", "status": "pending", "note": "phase 4 pending (the sample-cart add is JS/AJAX; not attempted, NO-SUBMIT)" } ] }, "fairnessDeclaration": { "reviewPassed": false, "note": "Wave 6 Chemicals + Materials visibility measurement plus an in-session usability re-probe (2026-07-21). Frozen task: Symrise Bergamotte Top-Note (sample_ready close, B2B parfumerie sample-request flow). AI Visibility from the audit pass (Q2-2026, openai/perplexity/anthropic, DE language, 18/18 valid datapoints). AI Usability derived from the in-session fleet phases (text + code) run 2026-07-21 against the frozen task; observed close state sample_ready. The Q2 stall verdict (bergamot never resolved to a concrete product) was falsified by this re-probe: the Ingredient Finder now server-renders concrete bergamot SKUs. Pending agent classes (browser/ACT) are excluded from the derivation (usability-derivation/v1.2). The sample-cart add was NOT attempted (NO-SUBMIT). Fairness Review pending the sector fairness grid.", "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection", "sectorGridRef": null }, "activeTasks": [ { "title": { "en": "Symrise Bergamotte Top-Note fragrance-ingredient sample (cosmetic B2B)", "de": "Symrise Bergamotte Top-Note Fragrance-Ingredient Sample (Kosmetik-B2B)" }, "closeState": "sample_ready", "intermediaryMode": "none", "businessRelevance": null, "difficultyBand": null, "engpass": { "en": "Concrete bergamot SKUs exist and the sample cart is reachable, but the bergamot mapping lives only in structured data; a text-reading agent cannot see it.", "de": "Konkrete Bergamotte-SKUs existieren und der Muster-Warenkorb ist erreichbar, aber die Bergamotte-Zuordnung lebt nur in strukturierten Daten; ein Text-lesender Agent sieht sie nicht." } } ], "scoreHistory": [ { "date": "2026-05-25", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-W6-CHEMICALS", "protocolVersion": "ars-methodology/v1.1", "summary": "Wave 6 kickoff. AI Visibility audit dispatched. Agent-fleet run brief dispatched. State in_measurement until both data sources land." }, { "date": "2026-07-21", "quarter": "q3-2026", "waveId": "USAB-INSESSION-2026-07-21", "protocolVersion": "ars-methodology/v1.1", "summary": "In-session usability re-probe (text, code) falsifies the Q2 stall. In Q2 no agent could match the bergamot top note to a concrete product on symrise.com (phases 2-4 terminally deferred, surface_stalled). The 2026-07-21 re-probe found a changed surface: the Ingredient Finder server-renders 213 Product JSON-LD blocks, seven SKUs carry bergamot in their descriptions (with SKU/CAS/brand), and the sample-request cart is GET-reachable. text=partial (bergamot only in JSON-LD, visible odor filter says citrus), code=success. Stall lifted; brand flipped in_measurement -> scored. Observed close: sample_ready. Usability derived (usability-derivation/v1.2). The sample-cart add is JS/AJAX and was NOT attempted (NO-SUBMIT)." } ], "methodology": { "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)", "usabilityDerivation": "usability-derivation/v1.2", "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": "On specialty discovery, Symrise is not lacking product data. It now has one of the few server-rendered structured-data catalogues in the DAX 40, 213 products deep. What it lacks is the surface that translates that data into the buyer's words: the bergamot mapping lives in JSON-LD only, invisible to any agent that reads page text, and the odor filter speaks taxonomy (citrus) instead of the formulator's brief (bergamot top note). In a four-vendor market led by Givaudan, next to IFF and dsm-firmenich, the vendor whose ingredient answers match the question's vocabulary wins the shortlist.", "de": "In der Specialty-Discovery fehlen Symrise keine Produktdaten. Symrise hat jetzt einen der wenigen server-gerenderten Structured-Data-Kataloge im DAX 40, 213 Produkte tief. Was fehlt, ist die Surface, die diese Daten in die Worte des Käufers übersetzt: Die Bergamotte-Zuordnung lebt nur im JSON-LD, unsichtbar für jeden Agenten, der Seitentext liest, und der Duftfilter spricht Taxonomie (Citrus) statt der Sprache des Formulierer-Briefings (Bergamotte-Kopfnote). In einem Vier-Anbieter-Markt, den Givaudan anführt, neben IFF und dsm-firmenich, gewinnt der Anbieter die Shortlist, dessen Ingredient-Antworten das Vokabular der Frage treffen." }, "evidence": { "en": "Symrise fixed the stall: concrete bergamot products now exist on symrise.com, but only inside the structured data; the visible text never says bergamot.", "de": "Symrise hat den Stillstand behoben: Konkrete Bergamotte-Produkte existieren jetzt auf symrise.com, aber nur in den strukturierten Daten; der sichtbare Text nennt Bergamotte nie." }, "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": "What changes the outcome is closing the vocabulary gap between the catalogue and the question. The structured data exists; it needs the buyer's words on the visible surface. Named Hyperize offerings here: Answer Pages on the formulator's questions (\"Which bergamot top note for a fine-fragrance brief?\") that route to the concrete SKUs, and Reference Pages that lift the ingredient descriptions out of the JSON-LD into agent-readable text. If your catalogue speaks taxonomy and your buyers speak briefs, this is the test that decides whether agents find your products or a rival's.", "de": "Was den Ausgang verändert, ist das Schließen der Vokabular-Lücke zwischen Katalog und Frage. Die strukturierten Daten existieren; sie brauchen die Worte des Käufers auf der sichtbaren Surface. Benannte Hyperize-Offerings hier: Answer Pages auf die Formulierer-Fragen (\"Welche Bergamotte-Kopfnote für ein Fine-Fragrance-Briefing?\"), die zu den konkreten SKUs routen, und Reference Pages, die die Ingredient-Beschreibungen aus dem JSON-LD in agenten-lesbaren Text heben. Wenn der Katalog Taxonomie spricht und die Käufer Briefings, ist das der Test, der entscheidet, ob Agenten die eigenen Produkte finden oder die des Wettbewerbers." }, "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%20Symrise" }, { "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%20Symrise" }, { "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%20Symrise" } ] }, "taskReport": null, "sources": [ { "id": "S1", "label": "AI Visibility audit · Symrise Wave Q2 2026 (dispatched 2026-05-25)", "accessedAt": "2026-05-25", "supports": [ "AI Visibility score", "the close state reached (sample_ready)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize audit pipeline" }, { "id": "S2", "label": "In-session fleet re-probe · chemicals · Symrise text + code (2026-07-21)", "accessedAt": "2026-07-21", "supports": [ "the per-class access profile", "the falsification of the Q2 stall verdict", "the close state observed (sample_ready)" ], "url": null, "kind": "internal", "internalLabel": null }, { "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", "Task report (v9): per-task story, per-agent-class outcomes, counted mention exhibit with denominator, scorecard, annex" ], "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" ] } }