Deutsche Bank.
Found and form-ready across every agent class.
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 Deutsche Bank, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Deutsche Bank'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 Deutsche Bank, free for your domain. Five agent classes, one real task, your score in 48 hours.
Found, parsed, and form-ready across every class. KYC is the last mile.
We asked five kinds of AI agent to reach an account-opening state for the Deutsche Bank AktivKonto, for an employee on 3,500 euro net per month. A plain fetch and a script both held the locked GT (the AktivKonto and its monthly fee), and the browser agent reached the opening form in all three runs, no login required to start. The application itself completes only partly under an agent: identity and KYC verification are the regulated last step.
One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code:
Scope. This is one product for one persona. Deutsche Bank offers current accounts, cards, loans, mortgages, investments, and private banking, each with its own flow.
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 open a current account, does it route to Deutsche Bank?
Deutsche Bank comes up about four times in ten. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Deutsche Bank's site, can it open an account?
Plain reader and Coding agent and Computer-use agent reach the booking form; Autonomous operator get there only in some runs.
Browser-class agents reach the booking form; full_automation-class agents reach it only partially, submission was not completed · breakdown aboveEvidence · 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.
The talent lane.
A candidate's agent, sent to find an open software-engineering role at Deutsche Bank 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 in raw HTML with no JavaScript execution required; the application entry is identified on the same page, but submitting requires a Workday candidate account (login) and an English-language CV.
Furthest close-state reached: application ready · frozen task locked 2026-07-02
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 test the submission itself: no login was performed, no account was created, no form fields were filled, and no application was ever submitted to Deutsche Bank. Only the publicly reachable job-detail HTML and the stated apply-entry requirements (login, CV) were verified via GET/HEAD requests.
Fairness note
This measurement tested read access and application entry for one live, publicly posted engineering role on careers.db.com, verified open at capture on 2 July 2026. No application was submitted, no account was created, and no personal data was used. Deutsche Bank's requirement of a Workday candidate account and an English CV is recorded as a documented condition of applying, not as a score deduction, and the score shown covers usability only while visibility measurement is still in progress.
What this means for Deutsche Bank.
On product discovery, Deutsche Bank is not hard to reach or parse, every class held the AktivKonto and its fee and reached the opening form. It thins at the regulated last step: identity and KYC verification complete only partly under an agent. The handoff is the gap, with discovery mid (found about four times in ten).
Make the regulated handoff legible, not another product page. A structured opening path an agent can carry to the verification step, and clear evidence of what the KYC step requires, so the agent hands off cleanly instead of stalling.
The proof isn't a simpler fee table. It's agents carrying the account opening to a clean KYC handoff, re-measured each wave.
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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.
No intermediary stands between agents and Deutsche Bank. The gap is being found, not the channel.
Measured from the AI Visibility audit: no displacing comparison portal surfaced as the route (0 of 18 responses named one; generic compare-accounts phrasing appeared, but no portal capture). Banking comparison portals exist in the German market; they did not displace Deutsche Bank in these responses. The gap here is being found, not the channel.
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Deutsche Bank AktivKonto (current account)
- Close state
- the booking form
- Bottleneck
- Found, parsed, and form-ready across all classes; the application completes only partly under an agent because identity/KYC verification is the regulated last step.
Fairness note
Wave 2 (a fleet wave Finance). Single measured task (AktivKonto current account for an employee on 3,500 EUR net; booking_form_ready close state). AI Visibility 40.49 (18/18 valid datapoints across 3 providers); AI Usability derived from the a fleet wave access profile. Confidence C, single task; 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
22 May 2026
Wave · ProtocolWAVE-Q2-2026-W2
ars-methodology/v1.1
First v3 measurement. AI Visibility 40.49 (18/18 valid datapoints, 3 providers, DE). AI Usability derived from a fleet wave: HTTP/coding/browser all success holding the locked GT, ACT reached the account-opening form with no login to start, completion partial at identity/KYC. Confidence C, single task.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 22 May 2026
AI Visibility audit · Deutsche Bank Wave Q2 2026
Internal · Hyperize evidence
- · AI Visibility score (18/18 valid datapoints across 3 providers)
- · the close state reached (booking_form_ready)
- [S2]Accessed · 22 May 2026
Hyperize fleet · a fleet wave Finance (access profile)
Internal · Hyperize evidence
- · how each kind of agent fared (HTTP/coding/browser success, ACT opening-form partial via KYC)
- · the close state reached (booking_form_ready)
- · the tested product (AktivKonto + monthly fee)
- Accessed · 22 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.
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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.
