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Munich Re

munichre.comBanking, insurance and finance
DAX 40
Level
1
Basic web presence
Agent readiness score
24
AEO score
30
AI mention rate
12%

Munich Re stands out by ranking 3rd of 11 in its industry for AEO score at 30, with AI engines naming the brand in 11.7% of answers. The agent readiness score is at level 1 (web basics) with 24 points; link headers, markdown negotiation, llms.txt, content signals, and an API catalogue are not yet in place.

The next three steps
  1. 1Content Signals

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    A step toward level 2

  2. 2Markdown negotiation

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

  3. 3llms.txt

    Publish an llms.txt with a short summary and the key links.

Compared with Banking, insurance and finance
  • Agent readiness24
    Industry median 24 · rank 6 of 11
  • AEO score30
    Industry median 28 · rank 3 of 11
  • Mentions in AI answers12
    Industry median 8 · rank 3 of 11
  • Visibility38
    Industry median 22 · rank 1 of 11
  • Citations6
    Industry median 2 · rank 2 of 11
  • Sentiment50
    Industry median 55 · rank 7 of 11
Agent readiness level
  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5
To reach level 2:
  • Content Signals
Areas
  • Discoverability77
  • Content accessibility0
  • Bot access control32
  • APIs, auth and MCP0
Every check
Discoverability
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    Top sites: 98%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    Top sites: 88%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    Top sites: 0%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    Top sites: 5%
Content accessibility
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    Top sites: 2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    Top sites: 15%
Bot access control
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    Top sites: 99%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    Top sites: 2%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    Top sites: 0%
APIs, auth and MCP
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    Top sites: 0%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    Top sites: 1%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    Top sites: 1%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    Top sites: 0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    Top sites: 0%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    Top sites: 0%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    Top sites: 0%
  • WebMCPNot met

    Register key actions such as search or cart as WebMCP tools.

    Top sites: 1%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    Top sites: 0%
AI crawler rules (robots.txt)
Training
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • GoogleOtherallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • AI2Botallowed
  • Cohere-AIallowed
  • Claude-Weballowed
  • Omgilibotallowed
  • Diffbotallowed
Search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
  • Timpibotallowed
Assistant
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed
Agentic commerce
  • x402Not present
  • MPPNot present
  • UCPNot present
  • ACPNot present
  • AP2Not present

Protocols that let AI agents shop and pay by themselves. They don't count toward the level.

Agent readiness score 24 · coverage 100% · checked on 19/09/2026 · www.munichre.com

Mentions per AI engine
  • AIOpenAI2/15 · 13%
    Sentiment: 0% positive, 100% neutral, 0% critical
  • CClaude1/15 · 7%
    Sentiment: 0% positive, 100% neutral, 0% critical
  • PPerplexity1/15 · 7%
    Sentiment: 0% positive, 100% neutral, 0% critical
  • GGemini3/15 · 20%
    Sentiment: 0% positive, 100% neutral, 0% critical
Spotlight: Gemini
20%3 of 15 answers name Munich Re
„Wie unterstützt Rückversicherung bei der Bewältigung von großflächigen Elementarschäden?“
Rückversicherungen spielen eine zentrale Rolle, wenn es darum geht, die finanzielle Stabilität von Erstversicherern (also den normalen Versicherungsgesellschaften für Kundinnen und Kunden) bei großflächigen Naturkatastrophen – wie Extremhochwasser, schweren Stürmen oder flächendeckendem Starkregen – zu sichern. Hier sind die wichtigsten Mechanismen, wie Rückversicherung bei der Bewältigung solcher Großschäden …

AI answer as returned, unverified and shortened.

Gemini names instead
  • Solvency II
  • Insurance-Linked Securities (ILS)
  • Rückversicherer
  • Alternative Risk Transfer
  • Business Continuity Management (BCM)
  • Alternative Risk Transfer (ART)
  • Catastrophe Bonds (Cat Bonds)
  • Aon
Sources: hannover-re.com, funk-gruppe.de, libertyinsurance.com, wtwco.com, researchandmarkets.com, aon.com
Share of voice
  • Munich Re11.9%
  • Swiss Re6.8%
  • Hannover Rück0%
  • R+V Rückversicherung0%
  • SCOR Rückversicherung0%
  • E+S Rückversicherung AG0%
Most cited sources
  1. 1.munichre.com25
  2. 2.hannover-re.com19
  3. 3.de.wikipedia.org13
  4. 4.deutscherueck.de12
  5. 5.risknet.de10
  6. 6.versicherungsbote.de10
  7. 7.fastercapital.com10
  8. 8.bafin.de9

Own domain's share of all citations: 5.9%

Every question and answer
Question (original German)AIOpenAICClaudePPerplexityGGemini
Welche Möglichkeiten jenseits traditioneller Rückversicherungen bestehen zur Risikoabsicherung in Spezialbranchen?
Welche Rolle spielt das Risikomanagement bei Pandemien für Erstversicherer und Großkunden?
Gibt es neue Technologien oder Modelle im Risikomanagement, die klassische Rückversicherungen ergänzen oder ersetzen können?
Was sind die besten Rückversicherungslösungen für Versicherungsunternehmen mit komplexen Risiken?
Wie unterstützt Rückversicherung bei der Bewältigung von großflächigen Elementarschäden?
Welche Faktoren beeinflussen die Preisgestaltung von Rückversicherungsverträgen in Deutschland?
Wann lohnt sich eine maßgeschneiderte Rückversicherungslösung für Industrieunternehmen?
Wie kann man als Industriekunde innovative Risikomanagement-Dienstleistungen in Deutschland finden?
Wie wirken sich aktuelle Marktentwicklungen auf die Prämien in der Rückversicherung aus?
Welche Unterschiede bestehen zwischen fakultativer und obligatorischer Rückversicherung?
Was tun, wenn es im Schadenfall Unklarheiten bei der Rückversicherungsdeckung gibt?
Ist der Abschluss einer Cyber-Rückversicherung für Versicherer sinnvoll?
Wie unterscheiden sich traditionelle Rückversicherungen von alternativen Risikotransfer-Lösungen?
Wie können Risiken bei Naturkatastrophen trotz Rückversicherung unterversichert bleiben?
Welche Alternativen gibt es zu klassischen Rückversicherungsmodellen für internationale Industriestandorte?
  • Brand named, positive
  • Brand named, neutral
  • Brand named, critical
  • Only competitors named
  • Brand not named
  • No answer
Badge for your website
Agent Readiness Stufe 1, KI-Check Deutschland 2026
<a href="https://aeo-audit.rezolve.com/de/munich-re" title="KI-Check Deutschland 2026: Munich Re"><img src="https://aeo-audit.rezolve.com/de/badges/munich-re.svg" alt="Agent Readiness Stufe 1, KI-Check Deutschland 2026" width="260" height="64"></a>

Audit completed on 19 September 2026. Methodology

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