Allianz.
Comparison portals capture the category before allianz.de.
Found & recommended by AI agents
Can an agent use the surface to get the job done
This page measures the commerce lane: can an agent find Allianz, 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 Allianz, free for your domain. Five agent classes, one real task, your score in 48 hours.
Invested in AI accessibility. Two of five agent types are blocked before reaching the calculator.
We asked five kinds of AI agent to get a Kfz-Versicherung quote at allianz.de. A browser agent ran the full quote wizard three times with no login, landing between €420 and €432. But the simplest agents never got in: a plain fetch was turned away with a 403, even though the price sits right there in the page. And before any of that, broad insurance queries route through Check24 and Verivox, so an agent often never reaches allianz.de at all.
One label, many breeds. From a plain reader to an autonomous operator, the kinds behind ChatGPT, Perplexity, and Claude Code:
Blocked somewhere on the path: Plain reader, Coding agent. A customer whose assistant runs on one of those breeds never finishes the task.
Scope. This is one product. Allianz sells motor, home, life, health, travel, and liability insurance, each with its own calculator.
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 cover, does it route to Allianz?
Allianz comes up roughly one time in five. The rest of the time, an agent recommends an alternative first.
Discoverability · 18-datapoint auditOnce an agent is on Allianz's site, can it get a binding quote?
Computer-use agent and Autonomous operator reach a quote; the other agent classes do not.
Browser-class agents reach a quote; text / code agents are blocked, no path past the quote was tested · breakdown aboveNot yet measured
This AI Usability read is an estimate, not yet sourced to a clean fleet run. Allianz's measurement is in progress; treat it as provisional until the run lands.
Evidence · 70 / 100 · estimate An estimate 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 Allianz.
On product discovery, Allianz is not losing because agents can't complete the journey, they can. It loses earlier, where broad insurance intent routes through Check24 and Verivox before Allianz is ever the answer.
Not another calculator. A dedicated agent surface for insurance-category intent: Reference Pages for the core product lines, Answer Pages for the comparison questions buyers ask, Concept Pages that own the category vocabulary, so Allianz is the cited answer before Check24 or Verivox frame the shortlist.
The proof isn't more content. It's agents naming, citing, and recommending Allianz directly in more category-level insurance journeys, 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 Allianz. 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.
Comparison portals like Check24 capture 22% of insurance demand before Allianz.
In the Gate-1 audit, the AI recommended comparison portals (Check24, Verivox, Tarifcheck) as the route in about one in five responses (4 of 18). The intermediary is avoidable: agents route directly to allianz.de when prompts are brand-specific or when Allianz's Answer Pages surface above the portals. Both levers are addressable on the Hyperize side.
Intermediaries check24 · verivox · tarifcheck · finanztip
Hyperize-selected tasks.
One task from the public sector grid. Task list is frozen before each wave runs.
Allianz Kfz-Versicherung Komfort
- Close state
- a quote
- Bottleneck
- Brand-specific queries land direct; category prompts captured by Vergleichsportale upstream.
Fairness note
Q2 2026 audit complete on a single task (Kfz-Versicherung Komfort, quote-ready close state), scored under the public Task Selection Doctrine. Fairness Review pending the sector fairness grid.
How the score was produced.
Discoverability is audit-pipeline-derived. 3-provider sample (anthropic, openai, perplexity), 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 (anthropic, openai, perplexity). 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
15 May 2026
Wave · ProtocolDAX9-LEGACY
v1-hand-assessment
First-pass hand assessment. Superseded by the v3 audit-derived measurement below.
- Entry · 02
18 May 2026
Wave · ProtocolWAVE-Q2-2026-PILOT
ars-methodology/v1.1
v3 audit-derived AI Visibility (19.79, 18/18 valid datapoints across 3 providers) on the Kfz-Versicherung Komfort task. AI Usability carried from the v6.2 baseline fleet run, pending a clean rerun.
Evidence and provenance.
Public methodology references and internal evidence pointers behind every claim above.
- [S1]Accessed · 18 May 2026
Gate-1 audit run · Allianz Wave Q2 2026
Internal · Hyperize evidence
- · AI Visibility score (audit-derived, 18/18 valid datapoints)
- · AI platforms queried (anthropic/openai/perplexity, 3-provider track)
- · the close state reached (quote_ready)
- [S2]Accessed · 16 May 2026
Hyperize fleet · v6.2 baseline (source for C/A/E)
Internal · Hyperize evidence
- · AI Usability and Evidence inputs
- · fleet test outcomes (legacy)
- [S3]Accessed · 18 May 2026
a fleet wave act phase (Giorgio repo, legacy reference)
Internal · Hyperize evidence
- · act phase verification (status=success, 3/3 steps on Kfz-Rechner)
- Accessed · 18 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.
