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Pfizer

pfizer.com · Healthcare · PFE

Ranked 795 of 2,047 companies in the study

36Overall score
  • Visibility6
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness21
What this means for Pfizer

AI assistants rarely name Pfizer in their answers: it appears in 1 answer out of 60, alongside AbbVie. Pfizer's overall score is 36 out of 100, ranking 795th of 2,047 companies and 22nd of 105 in its sector. The website passes 3 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the healthcare market: none named Pfizer. AI assistants named it in 1 of 60 answers (1.7%). The typical healthcare company is named in 3.3% of answers. By how often it is named, Pfizer ranks 56 of 105 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
12.5%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
22 of 105
by overall score, where the typical healthcare company scores 31
How Pfizer 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
6

How often AI assistants name the company

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
80

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 score36
Ranks 22 of 105. Typical company: 31
Named in answers2%
Ranks 56 of 105. Typical company: 3%
AI readiness21
Ranks 53 of 105. Typical company: 21
What Gemini actually said

An answer that names the company

“How can patients find financial assistance for high-cost specialty medications?”

Patients seeking financial assistance for high-cost specialty medications have several options, including programs offered by non-profit organizations, pharmaceutical manufacturers, and government initiatives. Many specialty pharmacies also have dedicated teams to help patients navigate these options.

Here's a breakdown of how patients can find assistance:

1. Non-Profit Organizations and Foundations:

These organizations offer direct financial assistance, grants, and help with co-payments, deductibles, and insurance premiums.

Some also provide assistance with travel relat …

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

Also named
AbbVie1
Share of mentions

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

Pfizer
33.3%
Merck & Co., Inc. (MSD)
33.3%
AbbVie
33.3%
Johnson & Johnson (Janssen Pharmaceuticals)
0.0%
Eli Lilly and Company
0.0%
Bristol Myers Squibb
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Perplexity
0/15
Claude
0/15
OpenAI
0/15
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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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%
  • WebMCPNot met

    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 23 of 100 · 100% of checks could run · checked on October 3, 2026 · www.pfizer.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
87
fda.gov
26
ncbi.nlm.nih.gov
12
frontiersin.org
11
cdc.gov
11
vaers.hhs.gov
10
cancer.gov
9
my.clevelandclinic.org
9
sciencedaily.com
9
mayoclinic.org
9

In the study as S&P 500.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Average out-of-pocket costs for biologic therapies in the US healthcare system?
  • Latest advances in vaccine development for emerging viral diseases?
  • What should I do if I experience side effects after starting a prescription immunology medicine?
  • How effective are expanded access programs for obtaining novel biopharmaceutical therapies in the US?
  • Are there effective alternatives to immunotherapy for treating specific cancers?
  • When are biosimilars recommended as an alternative to brand-name biologic medicines?
  • What nonsurgical treatment options exist for those who can’t tolerate traditional pharmaceuticals?
  • Which prescription options are best for children with certain genetic disorders?
  • How can patients find financial assistance for high-cost specialty medications?
  • What are the most innovative biopharmaceutical therapies available for autoimmune diseases?
  • Best prescription medicines for managing chronic inflammation in adults?
  • How can healthcare professionals report adverse reactions related to new vaccines?
  • Is it worth choosing the latest generation of cancer treatments over standard therapies?
  • Vaccines vs. antiviral medicines for preventing infectious diseases—what are the pros and cons?
  • How do biologics compare to traditional pharmaceuticals for treating rare conditions?
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.

Next step

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