Rheinmetall.
The Lynx page and the defence news stack validate KF41, tracked positioning and the Hungary reference.
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 the commerce lane: can an agent find Rheinmetall, and once it arrives, transact. Talent, after-sales, procurement, investor and press lanes run on different surfaces and are not yet measured.
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The same measurement as Rheinmetall, free for your domain. Five agent classes, one real task, your score in 48 hours.
The platform validates, the inquiry route works, the spec wording does not pin. An agent gets to Rheinmetall Defence; it cannot quote the configuration from the page.
The Gate-1 audit ran the standard 18 datapoints in German: an unbranded tracked-IFV probe, the Rheinmetall / Hanwha / BAE comparative shortlist, and the Lynx KF41 transactional B2G RFI query, across openai, perplexity and anthropic. The fleet ran phase 1 ceiling extraction on the rheinmetall.com Defence Lynx surface and phase 2 HTTP plus coding agents against the platform variant page. Both measured classes returned partial: the Lynx family page and the defence news stack validate KF41, tracked positioning and the Hungary 218-vehicle reference, and the inquiry route works; the locked configuration wording never pins in the captured source. Phases 3 and 4 (browser, autonomous close) did not run in this wave: the fleet browser runtime was infrastructure-blocked. They follow in the re-run.
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 find a supplier, does it route to Rheinmetall?
Rheinmetall 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 Rheinmetall's site, can it reach a B2G procurement pathway for the Lynx KF41 IFV?
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.
What this means for Rheinmetall.
Rheinmetall is not lacking platform presence; it lacks pinnable configuration facts. The Lynx surface tells the story in prose and news items, and both measured agent classes reach it and validate the tracked KF41 with the Hungary reference. But an agent assembling an RFI cannot anchor the turret and weight wording from the page, and B2G procurement runs on exactly that precision.
An answer surface that pins the KF41 configuration in extractable form: combat weight, the Lance 2.0 turret, gun options, and the variant boundaries against KF31 and Boxer, placed next to the RFI pathway. Citeable evidence replaces news-stack archaeology; the agent quotes what it can anchor.
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.
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No intermediary stands between agents and Rheinmetall. The gap is being found, not the channel.
Defence procurement closes via direct B2G sales; no marketplace intermediary captures the close. NSPA and EDA exist as procurement-coordination platforms but are not commercial RFQ marketplaces. The close stays on rheinmetall.com.
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Rheinmetall Lynx KF41 (tracked IFV, around 44t combat weight, Lance 2.0 turret, NATO procurement)
- Close state
- a quote
- Bottleneck
- Spec precision: platform and inquiry route validate, but the locked configuration wording resolves nowhere on the public surface in one extraction chain.
Fairness note
Wave 8 Q2 2026 partial measurement on a single task (Rheinmetall Lynx KF41 tracked IFV, quote_ready close, around 44t combat weight / Lance 2.0 turret / Hungary 218-vehicle and Italy A2CS references locked variant; the seed spec carried 35mm-Wotan-turret and Australia-LAND-400 descriptors, corrected on fact-check 2026-06-11: Wotan is the gun inside the Lance 2.0 turret, and Australia selected a competing vehicle in 2023). AI Visibility from Cody Gate-1 (49.44, 18/18 valid datapoints across openai/perplexity/anthropic, DE language). AI Usability from a fleet wave Phase 2 only (HTTP + coding agents; Phase 3 browser + Phase 4 ACT infrastructure-blocked in this wave: fleet browser runtime unavailable, not a brand result; re-run scheduled). The browser and full_automation rows of the agent_matrix are marked pending. 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-W8-AEROSPACE-DEFENSE
ars-methodology/v1.1
Wave 8 dispatch. Cody Gate-1 audit and Giorgio a fleet wave ceiling pulls launched 2026-05-26. Pre-measurement state: yaml seeded with frozen task (Rheinmetall Lynx KF41 tracked IFV), close-state quote_ready, locked spec markers per spec-fidelity rule (KF41 vs KF31, tracked vs wheeled Boxer). Note: the original seed descriptors carried 35mm-Wotan-turret, 50-tonne-class and Australia-LAND-400 references; corrected on fact-check 2026-06-11 to Lance 2.0 turret, around 44t combat weight, Hungary + Italy references (Australia selected a competing vehicle in 2023).
- Entry · 02
13 Jun 2026
Wave · ProtocolWAVE-Q2-2026-W8-AEROSPACE-DEFENSE
ars-methodology/v1.1
Wave 8 partial measurement landed. Cody Gate-1 complete (D 49.44, 18/18 valid). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete, both classes partial: the Lynx family page and the defence news stack validate KF41, tracked positioning and the Hungary 218-vehicle reference, and the inquiry route works; the locked configuration wording never pins in the captured source. Phase 3 browser + Phase 4 ACT not executed in this wave (fleet browser runtime infrastructure-blocked, not a brand result; marked pending in agent_matrix, re-run scheduled). Brand flipped to scored at partial-FLEET.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 26 May 2026
Gate-1 audit run · Rheinmetall Wave Q2 2026 (Cody, dispatched 2026-05-26)
Internal · Hyperize evidence
- · AI Visibility score
- · the close state reached (quote_ready)
- [S2]Accessed · 26 May 2026
a fleet wave aerospace + defence wave · Rheinmetall phase 1-4 (Giorgio repo, dispatched 2026-05-26)
Internal · Hyperize evidence
- · the per-breed access profile (Phase 1-4 pending)
- Accessed · 26 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.
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.
