--- title: "Daimler Truck — DAX 40 Agent Success Score | Hyperize" description: "Daimler Truck: AI Visibility 21.4/100, primary gap Interception. Hyperize DAX 40 Agent Success Index, measured under a public Task Selection Doctrine." canonical: https://www.hyperize.ai/en/dax40-index/brands/daimler-truck lang: en last-updated: 2026-07-21 --- # Daimler Truck. [Home](/en/) / [DAX 40 index](/en/dax40-index) / Daimler Truck Original research · Automotive Last measured · 21 Jul 2026 Wave · Q2-2026-W11-CENSUS Tier · proprietary Confidence · C Brand ![Daimler Truck](/logos/dax40/daimler-truck.svg) Daimler Truck Holding AG Agent success ## Daimler Truck owns the Actros story. Bottleneck Interception Intercepted before the brand is the answer. 3.7 /10 Agent Success Score AI Visibility 21 / 100 Found & recommended by AI agents AI Usability 38 / 100 Can an agent use the surface to get the job done Coverage · 2 of 6 lanes measured Commerce lane · Quote-only · Wave Q2-2026-W11-CENSUS Commerce 3.7 Talent usability measured After-sales — Procurement — Investor — Press — This page measures two lanes. Commerce: can an agent find Daimler Truck, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Daimler Truck'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 Daimler Truck, free for your domain. Five agent classes, one real task, your score in 48 hours. The test ## The brand site holds up. Dealers close the fleet quote. The name is shared. We tested how an AI agent sources a long-haul tractor for a European logistics fleet: 18 measurements across three AI providers, in German, with zero errors. The fleet phases ran in July 2026: the spec reads without JavaScript, the enquiry form is real, and the dealer locator only renders in a browser. mercedes-benz-trucks.com carries the Actros L spec, the configurator, and the total-cost story. AI agents can read it. But the fleet order closes at a truck dealer. The Mercedes-Benz dealer network writes the quote, financing and service contract. Since the 2021 spin-off, Daimler Truck and Mercedes-Benz Group are two separate DAX companies. An agent that lands at the car company misses the truck buyer. And only the Actros is the long-haul tractor, not the Atego, Arocs or eActros. One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code: Plain reader reads your raw page text, no browser Succeeded Search assistant finds you through search Partial Coding agent a script hitting your site Partial Computer-use agent clicks and types like a person Not yet run Autonomous operator runs the whole task unattended Not yet run Commerce lane ## Found, and able to transact? Two questions, measured separately. A brand can be recommended and still un-buyable, or perfectly buyable and never found. AI Visibility When someone asks an agent to spec a long-haul tractor unit for a fleet, does it route to Daimler Truck? 21 / 100 Daimler Truck comes up roughly one time in five. The rest of the time, an agent recommends an alternative first. Discoverability · 18-datapoint audit AI Usability Once an agent is on Daimler Truck's site, can it reach a truck-dealer enquiry? 38 / 100 Plain reader reach contact-ready; Search assistant and Coding agent get there only in some runs. Browser-class agents reach contact-ready; search / code-class agents reach it only partially · breakdown above 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. Talent lane ## The talent lane. A candidate's agent, sent to find an open software-engineering role at Daimler Truck and prepare the application. Same brand, second surface: the career portal. AI Usability · Talent lane ### Readable posting, unresolved apply step. Both non-browser classes reach and parse the posting; the measured role is a Data Engineer position in Chennai, the closest regular software-family role findable at lock time, and the application entry was not resolved in this pass. Furthest close-state reached: spec match · frozen task locked 2026-07-02 49 AI Usability / 100 · derived, not hand-rated Plain reader fetches the posting page raw, no browser pass flat-key normalisiert (http\_class: pass) Coding agent parses the posting into structured fields partial flat-key normalisiert (coding\_class: partial) Computer-use agent clicks through the career portal like a person untested 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 actual submission — no login was performed, no form was filled out, and no application was sent. The measured posting is located in Chennai, India, not in the DACH region: a documented DACH re-lock pass on 2026-07-02 found 11 of 11 searchable German- localized software/IT postings already HTTP 410 Gone, and no live DACH replacement could be locked, so this Chennai posting stands in as the only reachable software/data-adjacent role company-wide at measurement time. Fairness note This measurement covers one live, locked job posting (Data Engineer, Req 404959, Chennai, captured 2 July 2026) on Daimler Truck's single group-wide career portal, which serves all locations on the same platform (operated by milch & zucker); the technical findings about structured data and the application form therefore describe the platform, while the incomplete requirements text was observed in this specific posting only. No application was submitted, no form was filled out, and no personal data was used. The AI visibility measurement is still in progress, so no overall score is shown for Daimler Truck yet. What's next ## What this means for Daimler Truck. Diagnosis 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 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. What proof looks like 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. Audit · €1,900 ### 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 audit](mailto:hello@hyperize.ai?subject=Audit%20%C2%B7%20Daimler%20Truck) Founding · €4,500 ### Found with us. Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement. [Apply](mailto:hello@hyperize.ai?subject=Founding%20Program%20%C2%B7%20Daimler%20Truck) Snapshot ### Audit 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 Snapshot](mailto:hello@hyperize.ai?subject=Snapshot%20%C2%B7%20adjacent%20property%20for%20Daimler%20Truck) This is Daimler Truck. 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. ✓ **Measured, not guessed.** Real agents against your real site, no questionnaire. ✓ **Publicly comparable.** Your score in the same grid as the measured DAX 40 brands. ✓ **Next wave closing.** Start now to be in the next index round. Channel position ## Truck dealers and fleet-leasing firms capture 65% of commercial-vehicle sourcing demand before Daimler Truck. Third-Party Interception derived from AI Visibility 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. 35% direct 65% via intermediary Intermediaries Mercedes-Benz truck dealer network · fleet-leasing firms · TruckStore used-fleet channel · fleet-management providers Frozen task slate ## 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 contact-ready 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 visibility measurement plus in-session usability phases (2026-07-21). Single task (Mercedes-Benz Trucks Actros L long-haul tractor unit for a European logistics fleet, quote\_ready close). AI Visibility from the audit pass (Q2-2026, openai/perplexity/anthropic, DE language, 18/18 valid datapoints). AI Usability derived from the in-session fleet phases (text + code) run 2026-07-21 against the frozen task; observed close state contact\_ready. Pending agent classes (browser/ACT where noted) are excluded from the derivation (usability-derivation/v1.2). Fairness Review pending the sector fairness grid. Methodology ## 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. [\[S1\]](#sources) AI Usability is derived from the access-profile above (usability-derivation/v1.2): 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. [\[S2\]](#sources) Formula 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. History ## Measurement timeline. Each wave appends; nothing overwrites. Frozen Wave Rule. 1. Entry · 01 28 May 2026 Wave · Protocol WAVE-Q2-2026-W11-CENSUS ars-methodology/v1.1 Wave 11 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 quote\_ready close. Producer-page survival of the Actros story confirmed by the AI Visibility response analysis; truck-dealer channel position derived from the AI Visibility 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. 2. Entry · 02 21 Jul 2026 Wave · Protocol USAB-INSESSION-2026-07-21 ars-methodology/v1.1 In-session fleet phases (text, code) run on the frozen Actros L task. Text: cab and engine comparison table readable from server-rendered HTML. Code: no JSON-LD; enquiry form fields real; dealer locator client-side-only, no programmatic dealer resolution. Corporate daimlertruck.com UA-gates non-browser clients (403); mercedes-benz-trucks.com does not. Observed close: contact\_ready. Usability now derived from the measured profile (usability-derivation/v1.2). Sources ## Evidence and provenance. Public methodology references and internal evidence pointers behind every claim above. 1. \[S1\] AI Visibility audit · Daimler Truck Wave Q2 2026 (dispatched 2026-05-28) Accessed · 28 May 2026 Internal · Hyperize evidence - · AI Visibility score - · the close state reached (quote\_ready) 2. \[S2\] In-session fleet phases · daimler-truck text + code (2026-07-21) Accessed · 21 Jul 2026 Internal · Hyperize evidence - · the per-class access profile - · the close state observed (contact\_ready) 3. \[S3\] [Task Selection Doctrine](https://hyperize.ai/en/methodology/task-selection) Accessed · 28 May 2026 Public · hyperize.ai - · fairness declaration - · Third-Party Interception framing Related ## Read the doctrine. Challenge the score. Extend the slate. [Methodology ### Task Selection. The fairness doctrine behind the slate above. Five failure modes, six criteria, public before each wave. Read](/en/methodology/task-selection) [Challenge ### Disagree with this score. Send evidence under public Fairness Review. Failed reviews are documented with the named failure mode. Challenge](mailto:hello@hyperize.ai?subject=DAX%2040%20Pilot%20%E2%80%94%20Daimler%20Truck%20Reference%20Page%20Challenge) [Extend ### Submit your own task. Open Surface Run · additive measurement. The Hyperize-selected slate stays frozen; your task gets the same methodology. Submit](mailto:hello@hyperize.ai?subject=Open%20Surface%20Run%20%E2%80%94%20Daimler%20Truck) Last updated · 21 Jul 2026 Next review · 30 Sept 2026 Wave · Q2-2026-W11-CENSUS Tier · proprietary Confidence · C Index score · 3.7/10 [Machine-readable record](https://www.hyperize.ai/en/dax40-index/brands/daimler-truck.json) Universe: DAX 40 composition as of 2026-07-01, reviewed after each Deutsche Boerse index review. Editorial 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](mailto:hello@hyperize.ai). Responses received are published in full alongside the findings. Full methodology and editorial-coverage notice: [coverage statement](/en/imprint#dax40-disclaimer). --- Canonical: https://www.hyperize.ai/en/dax40-index/brands/daimler-truck Machine-readable index: https://www.hyperize.ai/llms.txt