Bayer.
Everyone knows Aspirin.
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 Bayer, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Bayer's own career surface and prepare the application. After-sales, procurement, investor and press lanes run on different surfaces and are not yet measured.
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What does an AI agent do with your website?
The same measurement as Bayer, free for your domain. Five agent classes, one real task, your score in 48 hours.
The OTC product a doctor would prescribe and no agent can hand off.
We asked five kinds of AI agent to find an OTC analgesic on bayer.com for a three-day tension headache with neck strain, then reach a purchase path. The plain reader got an Akamai 403 with a bot-registration page. The coding agent got the same 403 via curl. The browser reached aspirin.de, navigated to Spannungskopfschmerzen content, and confirmed Aspirin Forte 1000mg as the right product, in the Pflichttext footer only. Forte has no product page, no slider card, no Jetzt-kaufen button. The pharmacy handoff via px-reach.de works, but only for the Aspirin Tablette 500mg variant on its own card.
One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code:
Blocked somewhere on the path: Plain reader, Coding agent. A customer whose assistant runs on one of those breeds never finishes the task.
Scope. This is one OTC product on one consumer surface. Bayer Consumer Health runs 150+ brands across analgesics, dermatology, digestive health, supplements, and allergy, each with its own product-page architecture and pharmacy path.
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 find and order a kit, does it route to Bayer?
Bayer comes up about a quarter of the time. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Bayer's site, can it place the order?
Computer-use agent and Autonomous operator reach the documentation in some runs; other agent classes do not.
browser / full_automation-class agents reach the documentation only in some runs; text / code agents are blocked, no transaction follows · breakdown aboveEvidence · 53 / 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 Bayer and prepare the application. Same brand, second surface: the career portal.
Application-ready for agents.
Both non-browser agent classes read the full posting server-side (embedded JobPosting JSON-LD, no JS rendering required); the apply entry point is reachable without login and only asks for a resume upload, with no cover letter and no forced account creation to begin.
Furthest close-state reached: application ready · frozen task locked 2026-07-01
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 submit an application, upload any file, create an account, or log in. Only the GET-reachable posting page and the visible apply-widget configuration (button text, required fields, file types, logged-out state) were inspected. Whether the full multi-step apply flow completes successfully end-to-end is untested.
Fairness note
This measurement read one live IT posting on talent.bayer.com (a 12-month fixed-term R&D Data Management role in Berlin, captured 1 July 2026) and checked only whether an AI agent can find it, extract the spec, and reach the apply entry point. No application was submitted, no file uploaded, no account created; statements about the application flow describe only the first visible step, and any login or account requirement later in the process was not scored and would not lower the result. Bayer's visibility score is still in measurement, so no combined score is shown here.
What this means for Bayer.
On consumer healthcare, Bayer is not lacking commerce infrastructure, px-reach.de carries the pharmacy handoff for the Tablette. It lacks an agent-readable product page for the variant that actually matches the indication. An agent that correctly identifies Forte 1000mg for tension headache, off the Spannungskopfschmerzen page, cannot buy it because Forte has no slider card, no /aspirin-forte URL, no Jetzt-kaufen button. The bridge between content (right product surfaced) and commerce (handoff exists for one product) is absent for the one product that closes the task.
The fix is not redesigning aspirin.de. It is a parallel agent-readable surface for the Consumer-Health portfolio: Reference Pages per OTC variant carrying the indication-to-dosing-to-pharmacy bridge in plain HTML, Answer Pages for the questions a buyer asks at the Apothekenfrage moment ("Welches Mittel bei X?"), an Evidence Layer so an agent can confirm an indication match without parsing the legal Pflichttext.
The proof is not a new website. It is plain readers and coding agents extracting "Forte 1000mg, Spannungskopfschmerz, dosed 1-2 tablets to a max of 6/day, Apotheke X" directly, and a browser agent reaching a working purchase path for the variant the indication picks, re-measured each wave.
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No intermediary stands between agents and Bayer. The gap is being found, not the channel.
Channel position derivation on the Wave 5 the AI Visibility pass response texts is queued; the displayed share values are the unmeasured default. The measured task closes at a pharmacy handoff (px-reach.de), which is the legally-required intermediary for OTC drugs in Germany and the natural close-state for this surface rather than a displacement signal.
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Aspirin Forte 1000mg for tension headache + neck strain
- Close state
- the documentation
- Bottleneck
- Akamai blocks the plain reader and coding agent; browser reaches the right product in the legal footer only; the pharmacy handoff exists for the wrong variant.
Fairness note
Wave 5 Q2 2026 audit complete on a single task (Aspirin Forte 1000mg, recommendation-ready close state). AI Visibility from the audit pass on an unbranded informational probe (Spannungskopfschmerzen-Apothekenfrage). AI Usability from a fleet wave (2026-04-07) full phase1-4. 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
07 Apr 2026
Wave · Protocola fleet wave
fleet/measured
First-pass FLEET measurement: Aspirin Forte 1000mg across ceiling + http + coding + browser-agent + act breeds. Found Akamai WAF blocking text/code agents; browser reached the right product in Pflichttext only; ACT pharmacy handoff exists for Aspirin Tablette 500mg, not for the Forte variant the indication matches.
- Entry · 02
24 May 2026
Wave · ProtocolWAVE-Q2-2026-W5-LIFE-SCIENCES
ars-methodology/v1.1
Wave 5 kickoff. AI Visibility audit running on unbranded informational probe (Spannungskopfschmerz-Apothekenfrage, no brand-name strings). AI Usability carried from a fleet wave full phase 1-4 access profile.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 24 May 2026
AI Visibility audit · Bayer Wave Q2 2026 (unbranded informational)
Internal · Hyperize evidence
- · AI Visibility score (audit-derived, 18 datapoints, 3 providers)
- · AI platforms queried (openai/perplexity/anthropic)
- · close state reached (documentation_ready)
- [S2]Accessed · 07 Apr 2026
Agent-fleet run · Life Sciences · Bayer phases 1-4
Internal · Hyperize evidence
- · per-class access profile (text/code blocked by Akamai 403; browser partial 3/3; ACT reached wrong variant)
- · Akamai WAF finding (HTTP 403 'Site Maintenance' shell + bot registration prompt)
- · Aspirin Forte Pflichttext-only finding (no product page, no Jetzt-kaufen button, px-reach.de handoff exists for 500mg only)
- [S3]Accessed · 07 Apr 2026
Ground-truth ceiling run · Aspirin Forte 1000mg indication
Internal · Hyperize evidence
- · Ground-truth indication (Spannungskopfschmerz + Nackenverspannung)
- · Indication-fidelity verification (Forte explicitly indicated, dosing 1-2 tablets per single dose, max 6/day)
- Accessed · 24 May 2026
Public · hyperize.ai
- · fairness declaration
- · Third-Party Interception framing
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Task Selection.
The fairness doctrine behind the slate above. Five failure modes, six criteria, public before each wave.
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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.
