Airbus.
Agents read the H145 and reach the live sales form.
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 Airbus, 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 Airbus, free for your domain. Five agent classes, one real task, your score in 48 hours.
Readable product, reachable sales form, no fully pinned spec. The H145 close path exists for agents; what is missing is precision.
The Gate-1 audit ran the standard 18 datapoints in German: an unbranded twin-engine-medium probe, an Airbus / Bell / Leonardo comparative shortlist, and the H145 transactional RFQ query, across openai, perplexity and anthropic. The fleet ran phase 1 ceiling extraction on the airbus.com helicopter surface and phase 2 HTTP plus coding agents against the locked variant page. Both measured classes returned partial: H145 identity, twin-engine framing, the 8-seat layout, 3.8t MTOW and a concrete contact-sales path all confirm; the Donauwörth assembly reference and explicit Cat-A wording never resolve in one extraction chain. 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 Airbus?
Airbus 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 Airbus's site, can it reach an RFQ pathway for the H145 twin-engine medium configuration?
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 Airbus.
Airbus is not lacking product depth; it lacks the agent-readable pinning that turns a deep human surface into a quotable one. The H145 page carries the spec a buyer needs, and the sales form is real. But an agent assembling an RFQ cannot anchor the Donauwörth assembly reference or Cat-A performance wording from the page in one pass, and the regional-sales pathway still assumes a human picking a country before a contact appears.
An answer surface that pins the locked H145 facts in extractable form: variant, MTOW, assembly site, certification wording. And an RFQ pathway reachable from the product page without the country-selector detour. Citeable evidence beats deep PDFs here; 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 Airbus. The gap is being found, not the channel.
Aerospace primes close via direct-sales RFQ; no marketplace intermediary captures the close. Procurement platforms such as defence procurement databases coordinate tenders but are not commercial RFQ marketplaces. The close stays on airbus.com.
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Airbus H145 (twin-engine medium helicopter, 8 seats, EMS/VIP/Para-Public, MTOW 3.8t)
- Close state
- a quote
- Bottleneck
- The locked spec does not pin: the Donauwörth assembly reference and Cat-A wording resolve nowhere in one extraction chain, and the RFQ path runs through a human country selector.
Fairness note
Wave 8 Q2 2026 partial measurement on a single task (Airbus H145, quote_ready close, twin-engine medium helicopter, 8 passenger seats / MTOW 3.8t / final assembly Donauwörth locked variant). AI Visibility from Cody Gate-1 (43.94, 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 (Airbus H145 twin-engine medium helicopter, 8-seat / MTOW 3.8t / Donauwörth), close-state quote_ready, locked spec markers per spec-fidelity rule.
- 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 43.94, 18/18 valid). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete, both classes partial: H145 identity, twin-engine framing, 8-seat layout, MTOW and the contact-sales path confirm; the Donauwörth and Cat-A wording never pins in one extraction chain. 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 · Airbus 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 · Airbus 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.
