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Moderna

modernatx.com · Healthcare · MRNA

Ranked 181 of 2,047 companies in the study

43Overall score
  • Visibility32
  • Citations0
  • Sentiment82
  • Site quality87
  • AI readiness21
What this means for Moderna

AI assistants name Moderna in 26.7% of answers, much more often than the typical company in the healthcare sector, which is named in 3.3%. Moderna has an overall score of 43 out of 100, placing it 181st of 2,047 companies and 3rd in its sector. Its website passes 3 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the healthcare market: none named Moderna. AI assistants named it in 16 of 60 answers (26.7%). The typical healthcare company is named in 3.3% of answers. By how often it is named, Moderna ranks 4 of 105 in its sector.

Named by AI in
26.7%
16 of 60 answers
Share of mentions
40.0%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
3 of 105
by overall score, where the typical healthcare company scores 31
How Moderna compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
32

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
82

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with healthcare

105 companies in this sector. The line on each bar is the typical company.

Overall score43
Ranks 3 of 105. Typical company: 31
Named in answers27%
Ranks 4 of 105. Typical company: 3%
AI readiness21
Ranks 53 of 105. Typical company: 21
What Gemini actually said

An answer that names the company

“What are the most promising uses of mRNA technology in developing vaccines for respiratory diseases?”

mRNA technology holds immense promise for developing vaccines against respiratory diseases, offering several significant advantages over traditional vaccine approaches. The most promising uses of mRNA technology in this area include:

1. Rapid Development and Production:

One of the most compelling benefits of mRNA vaccines is their speed. They have short development cycles and straightforward production processes, allowing for rapid responses to emerging viral threats and evolving strains. This was critically demonstrated during the COVID-19 pandemic, with Pfizer-BioNTech and Moderna quick …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Pfizer3BioNTech3
Share of mentions

How the mentions in these answers were split between this company and its rivals

Moderna
45.7%
BioNTech
28.6%
Pfizer
25.7%
CureVac
0.0%
GSK (GlaxoSmithKline)
0.0%
Sanofi
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
Perplexity
4/15
Claude
4/15
OpenAI
3/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPassed

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

    study: 86.8%
  • Link headersNot met

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

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtNot met

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

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

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

    study: 93.4%
  • Content SignalsNot met

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

    study: 1.4%
  • Web Bot AuthNot present

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

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryNot met

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

    study: 11.8%
  • OAuth Protected ResourceNot met

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

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

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

    study: 0.2%
  • A2A Agent CardNot met

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

    study: 0.1%
  • Agent SkillsNot met

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

    study: 0.2%
  • WebMCPCould not check

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

    study: 33.7%
  • ARD manifestNot met

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

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.modernatx.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

3 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

pmc.ncbi.nlm.nih.gov
151
nature.com
30
cdc.gov
27
frontiersin.org
20
ncbi.nlm.nih.gov
15
medrxiv.org
12
tandfonline.com
11
pubmed.ncbi.nlm.nih.gov
10
sciencedirect.com
9
mdpi.com
9

In the study as S&P 500.

Every question, and where the company came up (8 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are potential side effects associated with mRNA vaccines and how can they be managed?
  • Are there effective non-mRNA options for preventing seasonal respiratory illnesses?
  • What alternatives to mRNA technology are being explored for rapidly developing pandemic vaccines?
  • What are the most promising uses of mRNA technology in developing vaccines for respiratory diseases?
  • Is investing in mRNA therapeutics for cancer treatment worth it?
  • Emerging trends in biotechnology for next-generation infectious disease prevention
  • What factors influence the pricing of mRNA vaccines in the US healthcare market?
  • Best therapeutic applications of biotechnology for rare genetic disorders
  • How does mRNA vaccine technology compare to traditional vaccine platforms in terms of efficacy and safety?
  • What are common storage and handling challenges with mRNA-based medicines?
  • In what situations are mRNA vaccines recommended over other types for adult immunization?
  • mRNA-based therapeutics vs protein-based biologics: what are the main differences and benefits?
  • How is mRNA technology being used in personalized cancer therapy?
  • Are mRNA vaccines considered cost-effective for large-scale immunization programs in the US?
  • Average cost range for mRNA-based treatments compared to conventional therapies
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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Overall score 43 of 100 badge for Moderna

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