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Biogen

biogen.com · Healthcare · BIIB

Ranked 569 of 2,047 companies in the study

38Overall score
  • Visibility24
  • Citations0
  • Sentiment67
  • Site quality87
  • AI readiness29
What this means for Biogen

AI assistants name Biogen in 10% of answers, compared to 3.3% for the typical company in the healthcare sector. Its overall score is 38 out of 100, ranking 569th of 2,047 companies. The website passes 4 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the healthcare market: none named Biogen. AI assistants named it in 6 of 60 answers (10.0%). The typical healthcare company is named in 3.3% of answers. By how often it is named, Biogen ranks 28 of 105 in its sector.

Named by AI in
10.0%
6 of 60 answers
Share of mentions
46.2%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
15 of 105
by overall score, where the typical healthcare company scores 31
How Biogen 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
24

How often AI assistants name the company

Citations
0

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

Sentiment
67

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

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 score38
Ranks 15 of 105. Typical company: 31
Named in answers10%
Ranks 28 of 105. Typical company: 3%
AI readiness29
Ranks 24 of 105. Typical company: 21
What Gemini actually said

An answer that names the company

“Which new pipeline therapies in biotechnology show potential for transforming patient outcomes?”

New pipeline therapies in biotechnology show significant potential for transforming patient outcomes across various disease areas. These advancements are largely driven by innovations in gene editing, RNA-based therapeutics, cell therapies, and the increasing integration of artificial intelligence (AI) in drug discovery.

Gene Editing (CRISPR-based Therapies)

CRISPR-Cas systems are revolutionizing gene editing by allowing precise modification of DNA sequences to treat diseases. This technology can correct specific disease-causing genes or regulate gene expression.

Hereditary Angioed …

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

Also named
Genentech1
Share of mentions

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

Biogen
75.0%
Genentech
12.5%
Regeneron Pharmaceuticals
12.5%
Amgen
0.0%
Gilead Sciences
0.0%
Bristol Myers Squibb
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Perplexity
2/15
Claude
1/15
OpenAI
1/15
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
50 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

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

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

The checks behind the AI readiness score

4 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%
  • Passedllms.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
107
frontiersin.org
27
pubmed.ncbi.nlm.nih.gov
22
ncbi.nlm.nih.gov
14
onlinelibrary.wiley.com
9
my.clevelandclinic.org
9
biospace.com
9
link.springer.com
7
asgct.org
7
nature.com
7

In the study as S&P 500.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How does gene therapy compare to traditional pharmaceuticals in treating rare diseases?
  • How can emerging therapies address unmet needs in neuroimmunology patients?
  • What should patients consider if they experience side effects from advanced biologics?
  • How do you switch between different disease-modifying therapies safely?
  • What are the most promising advances in biotechnology therapies for autoimmune disorders?
  • Which new pipeline therapies in biotechnology show potential for transforming patient outcomes?
  • Which biotechnology treatments are recommended for those living with cutaneous lupus erythematosus?
  • Best late-stage neurodegenerative disease treatments being developed by biotechnology companies
  • Do insurance plans usually cover advanced therapies developed by biotechnology companies?
  • Biotechnology vs pharmaceutical approaches for delivering first-in-class therapies
  • Alternatives to biologic medications for chronic neurological diseases
  • What are non-pharmaceutical alternatives for managing progressive autoimmune conditions?
  • Are innovative antibody treatments for neurological conditions effective enough to justify their cost?
  • Is it worth seeking out new biologic therapies for multiple sclerosis?
  • Typical out-of-pocket costs for innovative biopharmaceutical treatments in the United States
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 38 of 100 badge for Biogen

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/biogen.com"><img src="https://aeo-audit.rezolve.com/us/badges/biogen.com.svg" alt="Overall score 38 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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