Hannover Rück.
Hannover Rück owns the low-cost story.
Found & recommended by AI agents
Search-class agents touched the close in some runs; the full agent-fleet access profile lands in a later wave.
This page measures two lanes. Commerce: can an agent find Hannover Rück, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Hannover Rück'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 Hannover Rück, free for your domain. Five agent classes, one real task, your score in 48 hours.
AI agents find the brand. Brokers still own the deal.
We tested one task: an AI agent sourcing Property Cat XL treaty capacity from Hannover Rück. Visibility: 18 live measurements across three AI providers, in German, zero errors. Usability is an interim value from the site's structure. The full agent-fleet test has not run yet; a follow-up measurement is scheduled.
The website holds up. Agents can read and extract the line descriptions, the cost advantage (one of the lowest expense ratios in global reinsurance, a structural edge on follow-line capacity) and the specialty lines: aviation, marine, credit and surety, agricultural.
The deal path stays the same. Aon, Guy Carpenter, and Gallagher Re place the business, as for Munich Re. Hannover Rück competes on price discipline and capacity flexibility, not on a different route.
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 secure Property Cat XL Treaty capacity, does it route to Hannover Rück?
Hannover Rück 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 Hannover Rück's site, can it reach a broker-submission pathway for a Property Cat XL Treaty renewal?
Search-class agents surface a quote in some runs; the full agent-fleet access profile lands in a later wave.
Evidence · 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 Hannover Rück and prepare the application. Same brand, second surface: the career portal.
Application-ready for agents.
Every HTTP-class agent reads the full job posting server-side rendered, with reference number, requirements and location extractable via schema.org microdata; the actual application form itself renders client-side and its field inventory is invisible to a non-browser agent.
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
The application submission itself was never tested — no form was filled, no file was uploaded, no account was created or logged into, and no application was sent. Only the apply-entry URL was loaded via GET to read page framing; the JS-rendered form fields behind it were not inspected via browser execution (that is Phase C's scope, not performed here).
Fairness note
This measurement covers jobs.hannover-re.com, the career platform Hannover Re's group website actively links to; the parallel legacy domain jobs.hannover-rueck.de rejects non-browser requests and was documented but not scored. No application was ever submitted, no form filled and no personal data used; the test checked whether an AI agent acting for a real candidate can find an open IT role, extract its requirements and reach the application entry point. Statements about the application form are limited to what non-browser access could observe; browser-based access was not tested, and the visibility side of the measurement is still in progress, so no combined score is shown.
What this means for Hannover Rück.
On product discovery, Hannover Rück is not lacking findability — the brand is in the global top five reinsurers, named in every Property Cat XL capacity question alongside Munich Re, Swiss Re, SCOR, and Lloyd's syndicates. The gap is not the brand-own surface. It is the B2B reinsurance procurement mode: Property Cat XL Treaty placements do not run on a public-facing self-service flow. They run through the broker layer (Aon, Guy Carpenter, Gallagher Re). The agent reaches hannover-re.com, reads the line-of-business overview and the lean-ops differentiator, then routes the broker submission. Hannover Rück owns the price-discipline story, the broker owns the placement.
What changes the outcome is closing the surface-to-broker gap. The brand-own page surfaces the lean-ops story cleanly. The remaining lever is on the channel side: the agent reads the hannover-re.com line description, then has to identify the right reinsurance broker to submit through. Named Hyperize offerings here: Answer Pages on "Welcher Rückversicherer bietet die niedrigste Expense Ratio bei Property Cat XL Capacity?" that route directly to the brand-own lean-ops differentiator plus the broker-channel discovery, and Reference Pages that make Hannover Rück's specialty-lines taxonomy (aviation, marine, credit + surety, agricultural, cyber) agent-readable rather than human-readable. If your brand sits behind brokers, distributors, or tied agents, this is the AI test that decides whether agents reach you first or your channel does.
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 Hannover Rück. 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.
Reinsurance brokers like Aon, Guy Carpenter, and Gallagher Re capture 70% of reinsurance demand before Hannover Rück.
Third-Party Interception derived from AI Visibility response analysis: the B2B reinsurance procurement mode applies. Property Cat XL Treaty placements route through reinsurance brokers (Aon, Guy Carpenter, Gallagher Re) — the structural intermediary layer for the 1 January renewal cycle that the agent surfaces alongside Hannover Rück's direct lean-ops differentiator.
Intermediaries Aon · Guy Carpenter · Gallagher Re
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Hannover Rück Property Cat XL Treaty Reinsurance (European primary insurer, 1 January renewal placement)
- Close state
- a quote
- Bottleneck
- Producer page surfaces the lean-ops differentiator; reinsurance-broker intermediation (Aon / Guy Carpenter / Gallagher Re) captures the placement close.
Fairness note
Wave 9 Q2 2026 partial measurement. Single task (Hannover Rück Property Cat XL Treaty Reinsurance, quote_ready close, European primary insurer 1 January renewal placement). AI Visibility from the audit pass (Q2-2026, openai/perplexity/anthropic, DE language, 18/18 valid datapoints). AI Usability axis pending the agent-fleet run (scheduled for a later wave) — current Usability score reflects structural defaults for the catalog_only B2B reinsurance close, not a measured per-class access profile. 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
26 May 2026
Wave · ProtocolWAVE-Q2-2026-W9-REINSURANCE
ars-methodology/v1.1
Wave 9 partial measurement landed. AI Visibility pass complete (18/18 valid, 0 errors). The agent-fleet run is scheduled for a later wave — Usability axis on this wave reflects structural defaults for the catalog_only B2B reinsurance close. Producer-page survival of the lean-ops differentiator confirmed by the AI Visibility response analysis; broker-intermediation channel position derived from the AI Visibility response texts (Aon / Guy Carpenter / Gallagher Re dominate the placement layer).
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 26 May 2026
AI Visibility audit · Hannover Rück Wave Q2 2026 (dispatched 2026-05-26)
Internal · Hyperize evidence
- · AI Visibility score
- · the close state reached (quote_ready)
- [S2]Accessed · 26 May 2026
Agent-fleet run · reinsurance · Hannover Rück phase 1-4 (scheduled for a later wave)
Internal · Hyperize evidence
- · the per-class access profile (a later wave)
- Accessed · 26 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.
