--- title: "Siemens Energy — DAX 40 Agent Success Score | Hyperize" description: "Siemens Energy: AI Visibility 41.9/100, 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/siemens-energy lang: en last-updated: 2026-07-21 --- # Siemens Energy. [Home](/en/) / [DAX 40 index](/en/dax40-index) / Siemens Energy Original research · Industrials Last measured · 21 Jul 2026 Wave · Q2-2026-W10-INDUSTRIALS Tier · proprietary Confidence · C Brand ![Siemens Energy](/logos/dax40/siemens-energy.svg) Siemens Energy AG Agent success ## Siemens Energy owns the H-class efficiency story. Bottleneck Interception Intercepted before the brand is the answer. 4.6 /10 Agent Success Score AI Visibility 42 / 100 Found & recommended by AI agents AI Usability 45 / 100 Can an agent use the surface to get the job done Coverage · 2 of 6 lanes measured Commerce lane · Catalog-only · Wave Q2-2026-W10-INDUSTRIALS Commerce 4.6 Talent usability measured After-sales — Procurement — Investor — Press — This page measures two lanes. Commerce: can an agent find Siemens Energy, and once it arrives, transact. Talent: can a candidate's agent find an open engineering role on Siemens Energy'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 Siemens Energy, free for your domain. Five agent classes, one real task, your score in 48 hours. The test ## The brand page holds up. EPC contractors own the project decision. We tested one buying job: a European utility specifies a Siemens Energy H-class gas turbine for a 600 MW combined-cycle plant. Our audit ran 18 measurements across three AI providers, in German, with zero errors. The fleet phases ran in July 2026: the full spec reads without JavaScript, and the product page itself carries a genuine sales-inquiry form. The AI providers find the brand. siemens-energy.com carries the SGT5-9000HL specification, the reference plants, and the 50 Hz portfolio. Agents read the spec sheet as text and extract it as code. The purchase does not close there. EPC contractors like Bechtel, Fluor, Hitachi Energy, and Sargent & Lundy write the tender and present the manufacturer shortlist to the utility. Siemens Energy makes the turbine. The EPC makes the project. 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 Succeeded 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 specify a gas turbine for a Combined-Cycle (CCGT) project, does it route to Siemens Energy? 42 / 100 Siemens Energy comes up about four times in ten. The rest of the time, an agent recommends an alternative first. Discoverability · 18-datapoint audit AI Usability Once an agent is on Siemens Energy's site, can it issue an RFQ to the OEM via the project EPC? 45 / 100 Every kind of agent gets through, and reaches a quote. Browser-class agents reach a quote; search-class agents reach it only partially, no path past the quote was tested · 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 Siemens Energy and prepare the application. Same brand, second surface: the career portal. AI Usability · Talent lane ### Application-ready for agents. Every HTTP-level agent class reads the full job posting text (title, DACH location, requirements) directly from the initial GET with no JavaScript rendering required; the application entry point is identified but sits behind a mandatory career-portal (Avature) account login before any form fields become visible. Furthest close-state reached: application ready · frozen task locked 2026-07-02 68 AI Usability / 100 · derived, not hand-rated Plain reader fetches the posting page raw, no browser pass Raw curl (default UA, single GET, no retry needed) returned HTTP 200, 55006 bytes. Full JD text present in initial response: title, location breakdown (Germany/Bayern/Erlangen + Nordrhein-Westfalen/ Muelheim an der Ruhr, Coding agent parses the posting into structured fields pass Machine-extracted from raw HTML (regex/tag-strip parse; JobPosting JSON-LD present but minimal — only title + datePosted, no hiringOrganization/jobLocation/employmentType fields, so HTML body parse was the primary extrac 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 form submission, account registration/login, or any POST action — no application was ever submitted. Form length, CV/cover-letter requirements, and post-login flow steps could not be observed because they sit behind authentication; this is a documented limitation, not a scored fail. Fairness note Siemens Energy operates its own career surface at jobs.siemens-energy.com, and this measurement covers that surface alone, not Siemens AG and no external job boards. The required Avature account login before applying is recorded as a documented condition of the process, not as a fault; no application was ever submitted, no form was filled, and no personal data was used. The score reflects how far an automated reading of the live posting (Req 295076, frozen and re-verified on 2026-07-02) and its application entry point could get in the access classes tested; browser-based access was not tested in this pass and is marked accordingly. What's next ## What this means for Siemens Energy. Diagnosis On product discovery, Siemens Energy is not lacking findability. The brand is the German national champion in power equipment, named in every H-class gas-turbine question by construction. The gap is not the brand-own surface. It is the B2B project procurement mode: the 600 MW CCGT decision does not run on a public-facing self-service flow. It runs through the EPC layer (Bechtel, Fluor, Hitachi Energy, Sargent & Lundy). The agent reaches siemens-energy.com, reads the SGT5-9000HL spec and the efficiency benchmark, then routes the EPC selection. Siemens Energy owns the H-class efficiency story, the EPC owns the project. What changes the outcome What changes the outcome is closing the surface-to-EPC gap. The brand-own page surfaces the efficiency story cleanly. The remaining lever is on the channel side: the agent reads the SGT5-9000HL spec, then has to identify the right EPC for the project RFQ. Named Hyperize offerings here: Answer Pages on "Welcher EPC-Integrator baut H-Klasse-CCGT-Projekte mit Siemens-Energy-Turbinen?" that route directly to the brand-own spec sheet plus the EPC-channel discovery, and Reference Pages that make Siemens Energy's named instruments (SGT-frame taxonomy, Combined-Cycle reference-plant register, the 50 Hz vs 60 Hz portfolio split) agent-readable rather than human-readable. If your brand sits behind integrators, EPCs, or distributors, this is the AI test that decides whether agents reach you first or your channel does. 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%20Siemens%20Energy) 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%20Siemens%20Energy) 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%20Siemens%20Energy) This is Siemens Energy. 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 ## EPC contractors like Bechtel, Fluor, Hitachi Energy, and Sargent & Lundy capture 70% of power-generation equipment demand before Siemens Energy. Third-Party Interception derived from AI Visibility response analysis: the B2B equipment-procurement mode applies. H-class CCGT projects route through EPC contractors (Bechtel, Fluor, Hitachi Energy, Sargent & Lundy) — the structural intermediary layer for utility project specification that the agent surfaces alongside Siemens Energy's direct H-class efficiency benchmark. 30% direct 70% via intermediary Intermediaries Bechtel · Fluor · Hitachi Energy · Sargent & Lundy Frozen task slate ## Hyperize-selected tasks. One task from the public sector grid. Task list is frozen before each wave runs. Siemens Energy SGT-class gas turbine for 600 MW Combined-Cycle (CCGT) project, European utility, 2027 commissioning Close state a quote Bottleneck Producer page surfaces the H-class spec and Combined-Cycle efficiency; EPC-contractor intermediation (Bechtel / Fluor / Hitachi Energy / Sargent & Lundy) captures the project decision close. Fairness note Wave 10 Q2 2026 visibility measurement plus in-session usability phases (2026-07-21). Single task (Siemens Energy SGT-class gas turbine for 600 MW Combined-Cycle project, quote\_ready close, European utility 2027 commissioning). 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 quote\_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 26 May 2026 Wave · Protocol WAVE-Q2-2026-W10-INDUSTRIALS ars-methodology/v1.1 Wave 10 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 equipment close. Producer-page survival of the H-class spec confirmed by the AI Visibility response analysis; EPC-intermediation channel position derived from the AI Visibility response texts (Bechtel / Fluor / Hitachi Energy / Sargent & Lundy dominate the project-specification layer). 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 SGT5-9000HL task. Text: full spec readable no-JS via FAQPage JSON-LD plus three server-rendered tables. Code: product-embedded sales-inquiry form with genuine server-rendered fields reached via GET. Observed close: quote\_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 · Siemens Energy Wave Q2 2026 (dispatched 2026-05-26) Accessed · 26 May 2026 Internal · Hyperize evidence - · AI Visibility score - · the close state reached (quote\_ready) 2. \[S2\] In-session fleet phases · siemens-energy text + code (2026-07-21) Accessed · 21 Jul 2026 Internal · Hyperize evidence - · the per-class access profile - · the close state observed (quote\_ready) 3. \[S3\] [Task Selection Doctrine](https://www.hyperize.ai/en/methodology/task-selection) Accessed · 26 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%20Siemens%20Energy%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%20Siemens%20Energy) Last updated · 21 Jul 2026 Next review · 30 Sept 2026 Wave · Q2-2026-W10-INDUSTRIALS Tier · proprietary Confidence · C Index score · 4.6/10 [Machine-readable record](https://www.hyperize.ai/en/dax40-index/brands/siemens-energy.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/siemens-energy Machine-readable index: https://www.hyperize.ai/llms.txt