Continental.
Continental owns the premium-tire 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 Continental, 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 Continental, free for your domain. Five agent classes, one real task, your score in 48 hours.
Brand surface survives. Tire retailers own the checkout.
Wave 11 measured Continental premium summer tire selection across Cody Gate-1 (3 providers, 18 datapoints, German queries, 0 errors). FLEET enrichment is queued for Wave 11b. The continental-tires.com surface carries the PremiumContact 7 specification, the tire finder, and the size-and-vehicle fitment guidance. The brand surface is text-readable and code-extractable for the tire spec; the per-breed access profile under a real agent-fleet test lands in Wave 11b. The summer-tire purchase at 225/45 R17 is intermediated by tire retailers and comparison sites. Reifen.de, Tirendo, Euromaster, and A.T.U carry the inventory, the fitting appointment, and the checkout. Continental makes the tire. The retailer makes the sale. One boundary worth stating plainly: Continental is a tire brand and a top automotive-technology supplier (ContiTech industrial rubber, ADAS electronics). The consumer-tire surface measured here is one franchise, not the whole company.
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 find the right summer tire for a passenger car, does it route to Continental?
Continental comes up about a quarter of the time. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Continental's site, can it order the fitted set through a tire retailer?
Search-class agents surface config-ready 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 Continental.
On product discovery, Continental is not lacking findability. The brand is a premium tire maker named in every premium-summer-tire question alongside Michelin and Bridgestone. The gap is not the brand-own surface. It is the retail-intermediated purchase mode: the 225/45 R17 tire order does not close on continental-tires.com. It runs through tire retailers and comparison sites (Reifen.de, Tirendo, Euromaster, A.T.U). The agent reaches Continental, reads the PremiumContact spec and the fitment, then the order routes through a retailer. Continental owns the premium-tire story, the retailer owns the checkout.
What changes the outcome is closing the surface-to-retailer gap. The brand-own page surfaces the tire story cleanly. The remaining lever is on the channel side: the agent reads the PremiumContact spec, then has to find a retailer that stocks the exact size with a fitting slot. Named Hyperize offerings here: Answer Pages on "Welcher Continental-Sommerreifen in 225/45 R17 und wo mit Montage bestellen?" that route from the brand-own tire spec to the retailer-channel discovery, and Reference Pages that make Continental's named instruments (the PremiumContact vs SportContact line split, the size-fitment matrix, the retailer-availability signal) agent-readable rather than human-readable. If your brand sells through retailers and comparison portals, this is the AI test that decides whether agents reach you first or your channel does.
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 Continental. 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.
Tire retailers and comparison sites capture 65% of premium tires demand before Continental.
Third-Party Interception derived from Cody Gate-1 response analysis: the retail-intermediated purchase mode applies. Premium tire orders route through tire retailers and comparison sites (Reifen.de, Tirendo, Euromaster, A.T.U) which hold inventory, fitting appointments, and checkout. The agent surfaces these retailers alongside Continental's direct PremiumContact product story.
Intermediaries Reifen.de · Tirendo · Euromaster · A.T.U
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Continental PremiumContact 7 premium summer tire in 225/45 R17 for a mid-size sedan, German market
- Close state
- config-ready
- Bottleneck
- Brand surface carries the PremiumContact spec and the tire finder; tire-retailer intermediation (Reifen.de / Tirendo / Euromaster / A.T.U) captures the order-and-fitting close.
Fairness note
Wave 11 Q2 2026 partial measurement. Single task (Continental PremiumContact 7 premium summer tire in 225/45 R17 for a mid-size sedan, config_ready close, German market). 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 config_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 config_ready close. Producer-page survival of the premium-tire story confirmed by Cody response analysis; tire-retailer channel position derived from Cody response texts (Reifen.de / Tirendo / Euromaster / A.T.U dominate the order-and-fitting layer).
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 28 May 2026
Gate-1 audit run · Continental Wave Q2 2026 (Cody, dispatched 2026-05-28)
Internal · Hyperize evidence
- · AI Visibility score
- · the close state reached (config_ready)
- [S2]Accessed · 28 May 2026
FLEET Wave 11b · Continental 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
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.
