--- title: "Zalando — DAX 40 Agent Success Score | Hyperize" description: "Zalando: AI Visibility 43.3/100, primary gap Usability. Hyperize DAX 40 Agent Success Index, measured under a public Task Selection Doctrine." canonical: https://www.hyperize.ai/en/dax40-index/brands/zalando lang: en last-updated: 2026-07-02 --- # Zalando. [Home](/en/) / [DAX 40 index](/en/dax40-index) / Zalando Original research · Consumer & Retail Last measured · 02 Jul 2026 Wave · Q2-2026-W3-SLOW Tier · proprietary Confidence · D Brand ![Zalando](/logos/dax40/zalando.svg) Zalando SE Agent success ## Discovery is there, completion is not: HTTP hits an Akamai shell, the browser cannot reach an exact-variant bag publicly, and /checkout is session-gated. Bottleneck Usability Found, but the surface stalls the agent. 3.5 /10 Agent Success Score AI Visibility 43 / 100 Found & recommended by AI agents AI Usability 28 / 100 Can an agent use the surface to get the job done Coverage · 2 of 6 lanes measured Commerce lane · Wave Q2-2026-W3-SLOW Commerce 3.5 Talent usability measured After-sales — Procurement — Investor — Press — This page measures two lanes. Commerce: can an agent find Zalando, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Zalando's own career surface and prepare the application. After-sales, procurement, investor and press lanes run on different surfaces and are not yet measured. Your brand isn't measured yet ## What does an AI agent do with your website? The same measurement as Zalando, free for your domain. Five agent classes, one real task, your score in 48 hours. The test ## Discoverable, not completable. Sub-pilot finding, the session gate is the wall. We asked five kinds of AI agent to add a Nike Air Max 90 in size 43 to a bag on Zalando. The reference lane reached the live cart URL with the variant at €134.95, but that state depended on a pre-existing session. A plain HTTP fetch returned an Akamai-gated 403 shell with no usable product-detail HTML for Phase 2. The coding agent did not have a stable, unauthenticated product-data surface from the approved entry URL. All three standard browser runs failed to achieve a validated size-43 add-to-bag state. The autonomous agent attempted public /checkout continuation and observed a session-dependent dead-end at /checkout returning the 'This page has gone out of style' page. One of five agent classes reached the close state; per G6 this is sub-pilot. One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code: Plain reader reads your raw page text, no browser Blocked Search assistant finds you through search Not yet run Coding agent a script hitting your site Blocked Computer-use agent clicks and types like a person Blocked Autonomous operator runs the whole task unattended Blocked Blocked somewhere on the path: Plain reader, Coding agent, Computer-use agent, Autonomous operator. A customer whose assistant runs on one of those breeds never finishes the task. Commerce lane ## Found, and able to transact? Two questions, measured separately. A brand can be recommended and still un-buyable, or perfectly buyable and never found. AI Visibility When someone asks an agent to buy a product, does it route to Zalando? 43 / 100 Zalando comes up about four times in ten. The rest of the time, an agent recommends an alternative first. Discoverability · 18-datapoint audit AI Usability Once an agent is on Zalando's site, can it check out? 28 / 100 No agent class reaches a working cart. No agent class reaches a working cart, final payment is a separate step · breakdown above Evidence · 70 / 100 A measure of how provable and consistent the result is, grounded in cross-method ground-truth agreement (the methods that ran returned the same price), not a separate measured run. A confidence layer on the two scores above, not a third sales axis. Talent lane ## The talent lane. A candidate's agent, sent to find an open software-engineering role at Zalando and prepare the application. Same brand, second surface: the career portal. AI Usability · Talent lane ### Application-ready for agents. Every HTTP-level agent class reads the full Tradebyte Senior Platform Engineer posting and its core requirements directly from the raw HTML with no login wall; the only gap is that the job data isn't exposed as structured JobPosting JSON-LD, so machine extraction depends on HTML parsing rather than schema. Furthest close-state reached: application ready · frozen task locked 2026-07-02 68 AI Usability / 100 · derived, not hand-rated Plain reader fetches the posting page raw, no browser pass Plain curl GET (default UA) on the lock URL returned HTTP 200, 132286 bytes, no retry needed. Full JD present pre-hydration: title, "THE ROLE AND THE TEAM" and "WE'D LOVE TO MEET YOU IF" sections both fully readable in r Coding agent parses the posting into structured fields pass No JobPosting JSON-LD present (confirmed 0 occurrences of "application/ld+json" in the response, matching scout's note). Fell back to HTML-parse extraction — all 5 target fields extracted cleanly and cross-verified again Computer-use agent clicks through the career portal like a person untested The score above is provisional where a class shows untested: untested classes are excluded from the calculation, so the pending check can only confirm or raise the value, never silently lower it. AI Visibility · in measurement — the audit run for this lane has not landed yet. No Talent-lane composite is shown until both axes are measured. What this does not yet cover This measurement covers discovery, spec extraction, and locating the apply entry point only. No form was submitted, no account was created, no login was attempted, and no application was actually sent — the apply form's fields and requirement markers were read via GET, never exercised via POST. Fairness note This measurement covers one real, open engineering position (a Tradebyte role, part of the Zalando group, located in Ansbach) posted on Zalando's own career platform jobs.zalando.com, captured and locked on 2026-07-02. No application was submitted, no account was created, and no personal data was used; the measurement stops at locating the application entry point. Zalando's career site was fully readable without login for the agent types tested; browser-based agents were not yet tested, and the score reflects the tested classes only, while AI search visibility is still in measurement and no combined score is shown. What's next ## What this means for Zalando. Diagnosis Zalando is discoverable, not completable, for the agent classes we measured. The session gate is the wall: only the reference lane reached the cart, and only because the session was pre-warmed. For an agent arriving fresh, the size-43 add-to-bag path is brittle in the browser and unreachable via HTTP or coding paths. The exact-variant completion is the deal-breaker, not discovery. What changes the outcome Session-free completion mechanics, not catalog repair. An agent-callable variant-selection contract that holds without a pre-warmed bag, a /checkout endpoint that accepts a freshly-built cart from an authenticated agent, and citeable evidence that the buy path is reproducible from a cold start. Until that holds, discoverability without completion is the published story. What proof looks like The proof is not more listings. It is the same Air Max 90 size-43 add-to-bag completing from at least three of five agent classes from a cold session start, re-measured. Audit · €1,900 ### Commission an audit. Where the BrandScore opens the question, an audit closes it. An interpretive engagement on your full surface, scored under the same methodology. [Get the audit](mailto:hello@hyperize.ai?subject=Audit%20%C2%B7%20Zalando) Founding · €4,500 ### Found with us. Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement. [Apply](mailto:hello@hyperize.ai?subject=Founding%20Program%20%C2%B7%20Zalando) Snapshot ### Audit an adjacent property. 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. [Get a Snapshot](mailto:hello@hyperize.ai?subject=Snapshot%20%C2%B7%20adjacent%20property%20for%20Zalando) This is Zalando. What about your brand? ## You just saw how an AI agent treats a DAX 40 brand. The same measurement runs free against your domain: five agent classes, one real buying task, your Agent Success Score in 48 hours, in the exact format of this page. ✓ **Measured, not guessed.** Real agents against your real site, no questionnaire. ✓ **Publicly comparable.** Your score in the same grid as the measured DAX 40 brands. ✓ **Next wave closing.** Start now to be in the next index round. Channel position ## Marketplaces like Amazon capture 61% of shopping demand before Zalando. Across the 18 AI Visibility responses, 61% routed the Air Max 90 question through a competing multi-brand surface (Amazon in 9, About You in 8, Nike.de in 6, Nike.com in 5, Foot Locker in 3, Snipes in 3); Zalando appeared in 6 of 18 (33%). Zalando is itself a marketplace-retailer hybrid, so the displacing peers are OTHER multi-brand surfaces, not Nike-as-a-brand. The Air Max 90 buy intent is fragmented across half a dozen surfaces, with Zalando one option among several. 33% direct 61% via intermediary Intermediaries Amazon · About You · Nike.de · Foot Locker · Snipes Frozen task slate ## Hyperize-selected tasks. One task from the public sector grid. Task list is frozen before each wave runs. Zalando — Nike Air Max 90 size 43 (bag) — sub-pilot probe Close state a working cart Bottleneck Ceiling-only access depends on a pre-warmed session; HTTP returns Akamai-gated shell; coding has no stable product-data surface; browser 0/3 on the size-43 variant; /checkout returns a 'gone out of style' dead-end without a live bag. Sub-pilot per G6 (1/5). Fairness note Wave 3 Slow Lane (a fleet wave Consumer Retail, sub-pilot). Single measured task (Nike Air Max 90 size 43 add-to-bag, cart\_ready close state). The session-warmed reference (ceiling) lane reached the cart at €134.95, but HTTP / coding / all three standard browser runs / autonomous all fail from a cold start. G6 count is 1/5 with ceiling as a reach, 0/4 if ceiling is treated as provenance evidence only — below the G6 threshold either way, sub-pilot. AI Visibility 43.26 (18/18 valid datapoints across 3 providers); AI Usability low (derived from the cold-start access profile, not the session-warmed reference). Channel split grounded via channel-derive.py (competing multi-brand surfaces in 11/18, Zalando own-domain in 6/18). The page carries the Pilot probe chip and noindex via confidence=D — measured, but below the G6 threshold for a normal scored brand. Methodology ## How the score was produced. Discoverability is audit-pipeline-derived. 3-provider sample (openai, perplexity, anthropic), 3 query variants per task, 2 runs per variant · 18 valid datapoints scored against a five-state handoff cascade. [\[S1\]](#sources) AI Usability is derived from the access-profile above (usability-derivation/v1.2): how far the best agent reached (close state) modulated by how many agent classes succeeded. The per-class profile is the truth; the score is a reproducible summary of it, not a separate rating. Fleet phases (HTTP / Coding / Browser / ACT) produce the profile. [\[S2\]](#sources) Formula Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10) On a 0–100 scale, displayed 0–10. AI Usability bundles the agent's reach + completion; AI Visibility is audit-derived discoverability. Weighting is public; the per-prompt derivation is not. Measurement scope Confidence D · one measured task on a 3-provider track (openai, perplexity, anthropic). Confidence promotes to B with a second task plus a fourth provider on the next wave. History ## Measurement timeline. Each wave appends; nothing overwrites. Frozen Wave Rule. 1. Entry · 01 23 May 2026 Wave · Protocol WAVE-Q2-2026-W3-SLOW ars-methodology/v1.1 First v3 measurement. Discoverable-but-not-completable finding: the session-warmed reference (ceiling) lane reached the cart at €134.95, but the four cold-start agent classes (HTTP / coding / standard browser / autonomous) all fail. Direct /checkout returns the 'This page has gone out of style' page without a live bag. G6 count is 1/5 with ceiling counted as a reach, 0/4 if it is treated as provenance evidence only — below the G6 threshold either way. AI Visibility 43.26 (18/18 valid datapoints, 3 providers, DE). Shipped with confidence D (Pilot probe chip + noindex). Sources ## Evidence and provenance. Public methodology references and internal evidence pointers behind every claim above. 1. \[S1\] AI Visibility audit · Zalando Wave Q2 2026 Accessed · 23 May 2026 Internal · Hyperize evidence - · AI Visibility score 43.26 (18/18 valid datapoints across 3 providers) 2. \[S2\] Hyperize fleet · a fleet wave Consumer Retail (access profile) Accessed · 23 May 2026 Internal · Hyperize evidence - · discoverable-but-not-completable finding (ceiling session-warmed reach; all other classes fail) - · the close state attempted (cart\_ready) and the dead-end (no\_public\_checkout\_without\_live\_bag\_session) - · Five-Agents-Five-Answers passing 1/5, sub\_pilot true 3. \[S3\] [Task Selection Doctrine](https://www.hyperize.ai/en/methodology/task-selection) Accessed · 23 May 2026 Public · hyperize.ai - · fairness declaration - · sub-pilot doctrine (G6) Related ## Read the doctrine. Challenge the score. Extend the slate. [Methodology ### Task Selection. The fairness doctrine behind the slate above. Five failure modes, six criteria, public before each wave. Read](/en/methodology/task-selection) [Challenge ### Disagree with this score. Send evidence under public Fairness Review. Failed reviews are documented with the named failure mode. Challenge](mailto:hello@hyperize.ai?subject=DAX%2040%20Pilot%20%E2%80%94%20Zalando%20Reference%20Page%20Challenge) [Extend ### Submit your own task. Open Surface Run · additive measurement. The Hyperize-selected slate stays frozen; your task gets the same methodology. Submit](mailto:hello@hyperize.ai?subject=Open%20Surface%20Run%20%E2%80%94%20Zalando) Last updated · 02 Jul 2026 Next review · 30 Sept 2026 Wave · Q2-2026-W3-SLOW Tier · proprietary Confidence · D Index score · 3.5/10 [Machine-readable record](https://www.hyperize.ai/en/dax40-index/brands/zalando.json) Universe: DAX 40 composition as of 2026-07-01, reviewed after each Deutsche Boerse index review. Editorial coverage The DAX 40 Agent Success Index is a point-in-time snapshot of the agent-success of public digital touchpoints. Results are not statements about product quality, company performance, service quality, or the legal obligations of the brands named. Brand names and logos remain the property of their respective owners and are used solely for identification and reporting purposes in the context of editorial coverage (§ 23 MarkenG, Art. 5 GG). Brands wishing to respond, engage, or correct a factual error may contact [hello@hyperize.ai](mailto:hello@hyperize.ai). Responses received are published in full alongside the findings. Full methodology and editorial-coverage notice: [coverage statement](/en/imprint#dax40-disclaimer). --- Canonical: https://www.hyperize.ai/en/dax40-index/brands/zalando Machine-readable index: https://www.hyperize.ai/llms.txt