Heidelberg Materials.
Heidelberg Materials' CEM I 42,5R surface is reachable.
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 Heidelberg Materials, and once it arrives, transact. Talent, 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 Heidelberg Materials, free for your domain. Five agent classes, one real task, your score in 48 hours.
Heidelberg's CEM I is on the page. The 25kg NRW close is not.
Wave 6 measured Heidelberg Materials CEM I 42,5R across Cody Gate-1 (3 providers, 17/18 valid datapoints — 1 OpenAI timeout, German queries, AI Visibility 40.17) and a fleet wave Phase 2 (HTTP + coding). Phase 3 browser and Phase 4 ACT not executed. The Phase 2 HTTP agent returned substantial product-list content including Portlandzement classification + Ennigerloh plant availability. The coding agent confirmed the corporate surface but the 25kg-NRW small-quantity buying path stays opaque on the brand surface without slipping toward Bauhaus or Hornbach listings.
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 source a material, does it route to Heidelberg Materials?
Heidelberg Materials comes up about four times in ten. The rest of the time, an agent recommends an alternative first.
Discoverability · 17-datapoint auditOnce an agent is on Heidelberg Materials's site, can it request a 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 Heidelberg Materials.
On product discovery, Heidelberg Materials is reachable — AI Visibility 40.17 across 17/18 valid datapoints. The Phase 2 HTTP agent returned CEM I 42,5R classification + Ennigerloh plant availability. The gap is the small-quantity 25kg-NRW-DIN EN 197-1 buying path: it stays opaque on the brand's own regional dealer surface, while Baumarkt listings (Bauhaus, Hornbach) capture the demand precisely where the brand surface should resolve it. Structural channel capture, not discovery.
What changes the outcome will depend on whether Wave 6 surfaces a Channel gap (Baumarkt listings dominate the Heidelberg-brand close), a Surface gap (the regional portal's spec presentation breaks under agent reads), or a Discovery gap (Holcim / Dyckerhoff dominate the unbranded discovery). The Hyperize offering routes are Answer Pages for the discovery case, Reference Pages for the regional + spec case.
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.
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 auditFound with us.
Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement.
ApplyAudit 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 SnapshotThis is Heidelberg Materials. 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.
Chemical distributors capture 50% of sourcing demand before Heidelberg Materials.
Channel position pending Cody Gate-1 audit response analysis. Pre-measurement expectation: small-quantity CEM I cement demand is heavily captured by Bauhaus and Hornbach listings; the Heidelberg Materials regional sales portal and the corporate site share the direct-brand close. Industrial-scale demand routes via regional sales reps without an intermediary.
Intermediaries Bauhaus · Hornbach · regional Baustoff-Händler
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Heidelberg Materials CEM I 42,5R Portland cement (25kg sack, NRW delivery)
- Close state
- a quote
- Bottleneck
- Phase 2 HTTP returned CEM I 42,5R classification + Ennigerloh plant; the 25kg-NRW small-quantity close is captured by Baumarkt listings rather than resolved on the brand's regional dealer surface.
Fairness note
Wave 6 Q2 2026 partial measurement on a single task (Heidelberg Materials CEM I 42,5R Portlandzement, quote_ready close, 25kg sack, NRW delivery, DIN EN 197-1 spec). AI Visibility from Cody Gate-1 (40.17, 17/18 valid datapoints — 1 OpenAI timeout within tolerance — across openai/perplexity/anthropic, DE language). AI Usability from a fleet wave Phase 2 HTTP + coding partial; Phase 3 browser + Phase 4 ACT not executed in this wave (marked pending in agent_matrix). 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 · 17 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
25 May 2026
Wave · ProtocolWAVE-Q2-2026-W6-CHEMICALS
ars-methodology/v1.1
Wave 6 partial measurement landed. Cody Gate-1 complete (D 40.17, 17/18 valid — 1 OpenAI timeout). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete; Phase 3 browser + Phase 4 ACT not executed in this wave. HTTP returned CEM I 42,5R + Portlandzement + Ennigerloh plant. The 25kg-NRW small-quantity close stays captured by Baumarkt listings rather than resolved on the brand surface.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 25 May 2026
Gate-1 audit run · Heidelberg Materials Wave Q2 2026 (Cody, dispatched 2026-05-25)
Internal · Hyperize evidence
- · AI Visibility score (pending)
- · the close state reached (quote_ready)
- [S2]Accessed · 25 May 2026
a fleet wave chemicals wave · Heidelberg Materials phase 1-4 (Giorgio repo, dispatched 2026-05-25)
Internal · Hyperize evidence
- · the per-breed access profile (pending)
- · the regional dealer portal close (pending)
- Accessed · 25 May 2026
Public · hyperize.ai
- · fairness declaration
- · Third-Party Interception framing
Read the doctrine. Challenge the score. Extend the slate.
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.
