Beiersdorf.
AI agents find Beiersdorf.
Found & recommended by AI agents
Can an agent use the surface to get the job done
This page measures two lanes. Commerce: can an agent find Beiersdorf, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Beiersdorf'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 Beiersdorf, free for your domain. Five agent classes, one real task, your score in 48 hours.
The product page holds up. The sale happens at retail.
We tested one product: Eucerin Sun Sensitive Protect Face SPF 50+. Our audit run made 18 measurements across three AI providers, in German, with zero errors. AI visibility score: 34.44.
Automated agents also read eucerin.de directly. They found the product page and confirmed the claim: PZN 00802461, SPF 50+, fragrance-free, UVA/UVB protection. One gap: the exact UVA protection factor is not on the page. The EU UVA logo stands for at least one third of the SPF, but agents do not see that number.
Browser and purchase tests have not run yet. A follow-up measurement is scheduled. The brand's own store locator points to partner pharmacies. The sale completes at dm, Rossmann, Müller, Shop-Apotheke, DocMorris, or Amazon.
One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code:
Found, and able to transact?
Two questions, measured separately. A brand can be recommended and still un-buyable, or perfectly buyable and never found.
When someone asks an agent to buy a product, does it route to Beiersdorf?
Beiersdorf comes up about a third of the time. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Beiersdorf's site, can it verify the sun-protection claim on the product page?
Plain reader and Search assistant and Coding agent reach the documentation in some runs; other agent classes do not.
text / search / code-class agents reach the documentation only in some runs; agents are blocked, no transaction follows · breakdown aboveEvidence · 65 / 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.
The talent lane.
A candidate's agent, sent to find an open software-engineering role at Beiersdorf and prepare the application. Same brand, second surface: the career portal.
Application-ready for agents.
Both non-browser agent classes read the full job posting and its structured JobPosting data directly from Beiersdorf's own HTML with no JavaScript required; the application entry sits behind a SuccessFactors career-portal account/login gate requiring a résumé and cover letter.
Furthest close-state reached: application ready · frozen task locked https://ww
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 did not attempt the actual application submission, did not create an account, and never logged in or submitted any form. Only the publicly reachable posting page and the apply entry page were fetched via GET; nothing was posted.
Fairness note
Beiersdorf publishes its job postings directly on its own corporate site with complete structured job data readable without JavaScript, a cleaner technical setup than many peers. The application itself sits behind a SuccessFactors account login requiring a resume and cover letter; we record this as a documented condition of the process, not a defect, and no application was ever created, submitted, or attempted. Beiersdorf's global job board carried very few core software engineering roles at measurement time, so this result reflects one representative, date-locked IT posting and the measured agent paths, not the full breadth of the company's hiring.
What this means for Beiersdorf.
On product discovery, Beiersdorf is not lacking findability — AI Visibility 34.44 places Beiersdorf mid-pack across openai/perplexity/anthropic. The locked claim combination (LSF 50+ + parfümfrei + sensible Haut + UVA/UVB) all surfaces accurately on the eucerin.de SKU page. The gap is not the brand-own surface — it is the German derma-cosmetic retail mode: SPF 50+ for sensitive-skin queries route through dm / Rossmann / Müller / Apotheke listings or Amazon search rather than eucerin.de directly. The Beiersdorf surface owns the product claim and the ingredient list — the retail intermediary owns the price, the variant selection, and the purchase. If the agent reaches eucerin.de, the question is whether the locked claim (SPF 50+ AND parfümfrei AND for-sensitive-skin) surfaces accurately on the product page.
What changes the outcome is closing the surface-to-close gap. Phase 2 confirmed the brand-own page surfaces the locked claim cleanly. The remaining gap is on the channel side: the agent reaches eucerin.de, reads the claim, then routes the buy through dm / Rossmann / Müller / Apotheke / Amazon. Named Hyperize offerings here: Answer Pages on "Welche Sonnencreme SPF 50+ für sensible Haut?" that route directly to the brand-own claim verification, plus Reference Pages that make the UVA-PF numeric and the partner-pharmacy locator agent-readable rather than human-readable.
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.
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 auditFound with us.
Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement.
ApplyAudit 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 SnapshotThis is Beiersdorf. 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.
Marketplaces like Amazon capture 65% of shopping demand before Beiersdorf.
Channel position derived from AI Visibility response analysis: the German derma-cosmetic retail mode applies — Eucerin Sun Sensitive Protect Face is captured by drugstore chains (dm, Rossmann, Müller), Apotheke-Online platforms (Shop-Apotheke, DocMorris), and Amazon.
Intermediaries dm · Rossmann · Müller · Shop-Apotheke · Amazon
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Eucerin Sun Sensitive Protect Face SPF 50+ (50ml, parfümfrei, sensible Gesichtshaut)
- Close state
- the documentation
- Bottleneck
- Producer page surfaces the locked claim; retail intermediation (dm / Rossmann / Müller / Shop-Apotheke / Amazon) captures the close.
Fairness note
Wave 7 Q2 2026 partial measurement. Single task (Beiersdorf Eucerin Sun Sensitive Protect Face SPF 50+, documentation_ready close, 50ml SKU, locked spec: SPF 50+ + UVA-PF ≥1/3 SPF + parfümfrei + sensible Haut). AI Visibility from the audit pass (34.44, 18/18 valid datapoints across openai/perplexity/anthropic, DE language, 0 errors). AI Usability derived from a fleet wave Phase 2 partial (HTTP + Coding partial; Phase 3 browser + Phase 4 ACT not executed this wave). Fairness Review pending the sector fairness grid.
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]
AI Usability is derived from the access-profile above (usability-derivation/v1): 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]
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 C · 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.
Measurement timeline.
Each wave appends; nothing overwrites. Frozen Wave Rule.
- Entry · 01
25 May 2026
Wave · ProtocolWAVE-Q2-2026-W7-CONSUMER-GOODS
ars-methodology/v1.1
Wave 7 partial measurement landed. AI Visibility pass complete (D 34.44, 18/18 valid, 0 errors). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding committed_partial; Phase 3 browser + Phase 4 ACT not executed this wave. Producer-page survival of the locked claim combination confirmed at Phase 2; retail-intermediation channel position derived from the AI Visibility response texts.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 25 May 2026
AI Visibility audit · Beiersdorf Wave Q2 2026 (dispatched 2026-05-25)
Internal · Hyperize evidence
- · AI Visibility score
- · the close state reached (documentation_ready)
- [S2]Accessed · 25 May 2026
Agent-fleet run · consumer goods · Beiersdorf phase 1-4 (dispatched 2026-05-25)
Internal · Hyperize evidence
- · the per-class access profile (Phase 2 partial)
- Accessed · 25 May 2026
Public · hyperize.ai
- · fairness declaration
- · Third-Party Interception framing
Read the doctrine. Challenge the score. Extend the slate.
Task Selection.
The fairness doctrine behind the slate above. Five failure modes, six criteria, public before each wave.
Read ChallengeDisagree with this score.
Send evidence under public Fairness Review. Failed reviews are documented with the named failure mode.
Challenge ExtendSubmit your own task.
Open Surface Run · additive measurement. The Hyperize-selected slate stays frozen; your task gets the same methodology.
SubmitEditorial 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. Responses received are published in full alongside the findings. Full methodology and editorial-coverage notice: coverage statement.
