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Qiagen

qiagen.comHealth and pharma
DAX 40
Level
1
Basic web presence
Agent readiness score
24
AEO score
35
AI mention rate
3%

Qiagen ranks 2nd of 12 for AEO score in the health and pharma industry, with AI engines naming the brand in 3.3% of answers. The agent readiness score is at level 1 (web basics) with 24 points, matching the industry median. Link header, markdown negotiation, llms.txt, content signals and 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 Health and pharma
  • Agent readiness24
    Industry median 24 · rank 4 of 11
  • AEO score35
    Industry median 27 · rank 2 of 12
  • Mentions in AI answers3
    Industry median 3 · rank 5 of 12
  • Visibility53
    Industry median 30 · rank 1 of 12
  • Citations1
    Industry median 1 · rank 6 of 12
  • Sentiment50
    Industry median 62 · rank 7 of 12
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.qiagen.com

Mentions per AI engine
  • AIOpenAI0/15 · 0%
  • CClaude1/15 · 7%
    Sentiment: 0% positive, 100% neutral, 0% critical
  • PPerplexity1/15 · 7%
    Sentiment: 0% positive, 100% neutral, 0% critical
  • GGemini0/15 · 0%
Spotlight: Gemini
0%0 of 15 answers name Qiagen
„Lohnt sich die Investition in Next-Generation-Sequencing für kleinere Labore?“
Die Anschaffung von Next-Generation-Sequencing (NGS) für kleinere Labore erfordert eine sorgfältige Abwägung zwischen hohen Anfangsinvestitionen und dem langfristigen Nutzen. Vorteile von NGS für kleinere Labore Erweitertes Leistungsspektrum: Das Labor kann komplexe genetische Analysen (z. B. in der Onkologie oder der Infektionsdiagnostik) direkt vor Ort anbieten. Kürzere Durchlaufzeiten: Interne Testungen …

AI answer as returned, unverified and shortened.

Gemini names instead
  • Next-Generation Sequencing (NGS)
  • Next-Generation-Sequencing
  • Polymerase-Kettenreaktion (PCR)
  • Illumina
  • Oxford Nanopore
  • SARS-CoV-2
  • Influenza
  • MRSA
Sources: synthego.com, neumodx.com, myadlm.org, biocompare.com, gesundheitsindustrie-bw.de, biotype.de
Share of voice
  • QIAGEN33.3%
  • Siemens Healthineers0%
  • Abbott Diagnostics Germany0%
  • Roche Diagnostics Deutschland0%
  • Bio-Rad Laboratories (Germany)0%
  • Thermo Fisher Scientific (Germany)0%
Most cited sources
  1. 1.trillium.de18
  2. 2.pmc.ncbi.nlm.nih.gov11
  3. 3.medicalexpo.de8
  4. 4.laborpraxis.vogel.de7
  5. 5.laborjournal.de7
  6. 6.chemie.de6
  7. 7.management-krankenhaus.de6
  8. 8.mt.com5

Own domain's share of all citations: 0.5%

Every question and answer
Question (original German)AIOpenAICClaudePPerplexityGGemini
Lohnt sich die Investition in Next-Generation-Sequencing für kleinere Labore?
Welche Technologien eignen sich für das Infektionskrankheiten-Screening in der Krankenhausroutine?
Sind vollautomatisierte Diagnostik-Plattformen für Forschungseinrichtungen sinnvoll?
Wie unterscheiden sich PCR-Tests und isothermale Amplifikationstechnologien im klinischen Einsatz?
Welche Vorteile bieten automatisierte Probenvorbereitungssysteme gegenüber manuellen Methoden?
Was kann ich tun, wenn meine Ergebnisse bei der Genotypisierung unzuverlässig sind?
Welche Alternativen gibt es zu klassischen PCR-basierten Nachweismethoden für Infektionskrankheiten?
Wie gehe ich vor, wenn bei der Probenvorbereitung häufig Kontaminationen auftreten?
Welche Möglichkeiten zur molekularen Analyse existieren abseits von sequenzbasierten Technologien?
Gibt es innovative Lösungen zur Probenverarbeitung außerhalb der traditionellen Methoden?
Was sind die besten molekularen Testverfahren für die Onkologie im Labor?
Wie viel kosten automatisierte Nukleinsäure-Extraktionssysteme für Forschungslabore in Deutschland?
Wie kann ich Laborentwickelte Tests für seltene Erbkrankheiten einsetzen?
Welche molekularen Tests eignen sich speziell für Transplantationsdiagnostik?
Was sind typische Preisunterschiede zwischen manuellen und automatisierten molekularen Diagnoselösungen?
  • 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/qiagen" title="KI-Check Deutschland 2026: Qiagen"><img src="https://aeo-audit.rezolve.com/de/badges/qiagen.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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