BASF.
BASF is findable by AI agents and the Glysantin datasheet is accurate.
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 BASF, 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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BASF is findable and the Glysantin page is accurate. It just has no buy button.
Wave 6 measured BASF Glysantin G48 across Cody Gate-1 (3 providers, 18 datapoints, German queries, AI Visibility 37.67) and a fleet wave Phase 2 (HTTP + coding agents). Phase 3 browser and Phase 4 ACT not executed. The Phase 2 coding agent read the product-selection FAQ on glysantin.com directly from the source HTML: it correctly maps G48 to VW TL 774-C (the G11-class hybrid) and G40 to VW G12++. The datasheet and OEM approvals are accurate and agent-readable. What the surface does not carry is a way to buy: glysantin.com routes to a supplier locator, and the transaction completes on Amazon, OBI, or Bauhaus.
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 BASF?
BASF comes up about a third of the time. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on BASF's site, can it reach the OEM-compatibility datasheet?
Search-class agents surface the documentation in some runs; the full agent-fleet access profile lands in a later wave.
Evidence · 60 / 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 BASF.
On product discovery, BASF is not lacking findability: AI Visibility 37.67 places BASF mid-pack across openai, perplexity, and anthropic. The datasheet is accurate too: glysantin.com's product-selection FAQ correctly maps G48 to VW TL 774-C and G40 to VW G12++, so an agent that reaches the page gets the right spec. The gap is the buying path. glysantin.com carries documentation and a supplier locator, not a checkout, so the intermediated channel (Amazon, OBI, Bauhaus, automotive aftermarket) captures the transaction.
What changes the outcome is a buying path on the brand surface. The datasheet is already right; what it lacks is a way for an agent to act on it. Answer Pages that meet the G48-compatibility question, and a callable surface that carries the spec into a transaction, keep the close on the brand instead of handing it to Amazon and the building-materials aisle.
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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Chemical distributors capture 65% of sourcing demand before BASF.
Glysantin G48 is a consumer-grade coolant. Demand is captured by Amazon, OBI, Bauhaus, and automotive aftermarket platforms. Buyers find the datasheet on basf.com and glysantin.com but transact elsewhere: the brand surface carries documentation and a supplier locator, not a checkout.
Intermediaries Amazon · Bauhaus · OBI · Autoteile-Händler
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
BASF Glysantin G48 coolant (5L canister, VW TL 774-C / MB 325.0 / BMW LC-87)
- Close state
- the documentation
- Bottleneck
- The Glysantin datasheet and product-selection FAQ are accurate (G48 = VW TL 774-C; G40 = VW G12++). The brand surface carries no buying path, so the purchase runs through Amazon, OBI, and Bauhaus.
Fairness note
Wave 6 Q2 2026 partial measurement on a single task (BASF Glysantin G48, documentation_ready close, 5L canister, VW TL 774-C / MB 325.0 / BMW LC-87 OEM approvals). AI Visibility from Cody Gate-1 (37.67, 18/18 valid datapoints across openai/perplexity/anthropic, DE language). AI Usability from a fleet wave Phase 2 partial only (HTTP + coding agents; Phase 3 browser + Phase 4 ACT not executed in this wave); the full_automation row of the agent_matrix is marked pending. The coding-agent extraction confirmed glysantin.com's product-selection FAQ is accurate (G48 = VW TL 774-C, G40 = VW G12++); the gap is the buying path, not surface accuracy. 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
25 May 2026
Wave · ProtocolWAVE-Q2-2026-W6-CHEMICALS
ars-methodology/v1.1
Wave 6 partial measurement landed. Cody Gate-1 complete (D 37.67, 18/18 valid). a fleet wave Phase 1 ceiling + Phase 2 HTTP+coding complete; Phase 3 browser + Phase 4 ACT not executed in this wave (marked pending in agent_matrix). glysantin.com FAQ confirmed accurate (G48 = VW TL 774-C; G40 = VW G12++); the gap is the buying path (no checkout on the brand surface; close runs via Amazon/OBI/Bauhaus). Note: the frozen task originally carried an incorrect OEM spec for G48; corrected to G48's real approvals (VW TL 774-C / MB 325.0 / BMW LC-87) on fact-check 2026-06-02. Brand flipped to scored at partial-FLEET; full per-breed access profile requires Phase 3-4 dispatch.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 25 May 2026
Gate-1 audit run · BASF Wave Q2 2026 (Cody, dispatched 2026-05-25)
Internal · Hyperize evidence
- · AI Visibility score (pending)
- · the close state reached (documentation_ready)
- [S2]Accessed · 25 May 2026
a fleet wave chemicals wave · BASF phase 1-3 (Giorgio repo, dispatched 2026-05-25)
Internal · Hyperize evidence
- · the per-breed access profile (pending)
- Accessed · 25 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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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.
