Daimler Truck.
Daimler Truck owns the Actros 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 the commerce lane: can an agent find Daimler Truck, 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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Brand surface survives. Dealers own the fleet quote, and the name is shared.
Wave 11 measured Daimler Truck long-haul tractor procurement across Cody Gate-1 (3 providers, 18 datapoints, German queries, 0 errors). FLEET enrichment is queued for Wave 11b. The mercedes-benz-trucks.com surface carries the Actros L specification, the model configurator, and the fuel-efficiency and total-cost-of-ownership story. The brand surface is text-readable and code-extractable for the spec; the per-breed access profile under a real agent-fleet test lands in Wave 11b. The long-haul tractor decision for a European logistics fleet is intermediated by truck dealers and fleet-leasing firms. The Mercedes-Benz truck dealer network writes the quote, structures the financing, and handles the service contract. Daimler Truck makes the truck. The dealer makes the fleet deal. One boundary is load-bearing: since the 2021 spin-off, Daimler Truck Holding AG (Mercedes-Benz Trucks) and Mercedes-Benz Group AG (passenger cars) are two separate DAX companies. A truck buyer reaching the car company is a wrong-entity miss, not a near hit. Within the truck portfolio the spec also matters: the Actros is the long-haul tractor, the Atego is distribution, the Arocs is construction, the eActros is battery-electric.
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 spec a long-haul tractor unit for a fleet, does it route to Daimler Truck?
Daimler Truck comes up roughly one time in five. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Daimler Truck's site, can it request a fleet quote?
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 Daimler Truck.
On product discovery, Daimler Truck is not lacking findability. The brand is a global commercial-vehicle leader named in every long-haul-tractor question alongside Volvo Trucks and MAN. The gap is two-layered. First, the dealer-intermediated quote mode: the fleet order does not close on mercedes-benz-trucks.com, it runs through the Mercedes-Benz truck dealer network and fleet-leasing firms. Second, the shared-name risk: an agent must resolve "Mercedes-Benz" to Daimler Truck for a truck query, not to Mercedes-Benz Group. The agent reaches the Actros spec, then the quote routes through a dealer. Daimler Truck owns the Actros story, the dealer owns the fleet quote.
What changes the outcome works on both layers. The brand-own page surfaces the Actros story cleanly. The remaining levers: route the agent from the spec to the right dealer for a fleet quote, and make the entity boundary unambiguous so a truck query never resolves to the car company. Named Hyperize offerings here: Answer Pages on "Welcher Mercedes-Benz Trucks Actros für Fernverkehr und wo Flottenangebot anfragen?" that bind the truck query to Daimler Truck and route to the dealer-quote channel, and Reference Pages that make the named instruments (the Actros vs Atego vs Arocs model split, the Daimler-Truck-vs-Mercedes-Benz-Group entity boundary, the dealer-network locator) agent-readable. If your demand sits behind a dealer network and a shared name, this is the AI test that decides whether agents reach the right you first.
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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Truck dealers and fleet-leasing firms capture 65% of commercial-vehicle sourcing demand before Daimler Truck.
Third-Party Interception derived from Cody Gate-1 response analysis: the dealer-intermediated quote mode applies. Long-haul fleet orders route through the Mercedes-Benz truck dealer network and fleet-leasing firms which write the quote, structure financing, and own the service contract. The agent surfaces the dealer-and-leasing layer alongside Daimler Truck's direct Actros product story.
Intermediaries Mercedes-Benz truck dealer network · fleet-leasing firms · TruckStore used-fleet channel · fleet-management providers
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Mercedes-Benz Trucks Actros L long-haul tractor unit for a European logistics fleet
- Close state
- a quote
- Bottleneck
- Brand surface carries the Actros spec and the configurator; truck-dealer and fleet-leasing intermediation captures the quote-and-financing close, and the shared Mercedes-Benz name risks a wrong-entity miss to Mercedes-Benz Group.
Fairness note
Wave 11 Q2 2026 partial measurement. Single task (Mercedes-Benz Trucks Actros L long-haul tractor unit for a European logistics fleet, quote_ready close). AI Visibility from Cody Gate-1 (Q2-2026, openai/perplexity/anthropic, DE language, 18/18 valid datapoints). AI Usability axis pending FLEET enrichment (queued Wave 11b) — current Usability score reflects structural defaults for the quote_ready close, not a measured per-breed 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
28 May 2026
Wave · ProtocolWAVE-Q2-2026-W11-CENSUS
ars-methodology/v1.1
Wave 11 partial measurement landed. Cody Gate-1 complete (18/18 valid, 0 errors). FLEET queued for Wave 11b — Usability axis on this wave reflects structural defaults for the quote_ready close. Producer-page survival of the Actros story confirmed by Cody response analysis; truck-dealer channel position derived from Cody response texts (Mercedes-Benz dealer network and fleet-leasing firms dominate the quote layer). Entity-boundary risk (Daimler Truck vs Mercedes-Benz Group) flagged for the diagnosis.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 28 May 2026
Gate-1 audit run · Daimler Truck Wave Q2 2026 (Cody, dispatched 2026-05-28)
Internal · Hyperize evidence
- · AI Visibility score
- · the close state reached (quote_ready)
- [S2]Accessed · 28 May 2026
FLEET Wave 11b · Daimler Truck phase 1-4 (queued)
Internal · Hyperize evidence
- · the per-breed access profile (Wave 11b)
- Accessed · 28 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.
