- Visibility29
- Citations1
- Sentiment79
- Site quality80
- AI readiness21
AI assistants name the company in 11.7% of answers, more often than the typical company in its sector. Its overall score is 40 out of 100, ranking 411th of 2,047 companies. The website passes 3 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the healthcare market: none named IQVIA. AI assistants named it in 7 of 60 answers (11.7%). The typical healthcare company is named in 3.3% of answers. By how often it is named, IQVIA ranks 20 of 105 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
105 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Best technology platforms for accelerating drug development in the US healthcare industry”
Based on current developments in the pharmaceutical industry, here are the best technology platforms for accelerating drug development in the US healthcare sector:
Key Technology Platforms
Clinical Operations & Regulatory Compliance
Veeva Systems is the industry-standard platform for clinical operations, regulatory affairs, and quality management in biopharma, particularly for clinical trials management and regulatory submissions across the drug development lifecycle.
AI-Enabled Drug Discovery
AI drug discovery platforms use artificial intelligence, machine learning, deep learn …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 15 of 100 · 97% of checks could run · checked on October 5, 2026 · www.iqvia.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
How many times each website was listed as a source in these answers
In the study as S&P 500.
- Why might a pharma analytics dashboard show inconsistent patient outcome data?
- How do AI-powered life sciences analytics compare to traditional consulting services?
- Best technology platforms for accelerating drug development in the US healthcare industry
- Alternatives to full-service life sciences consulting for small pharma companies
- What are other ways to access real-world evidence if you can't use specialized analytics platforms?
- Examples of using technology solutions to enhance patient recruitment in clinical trials
- Is investing in advanced analytics worth it for mid-sized biotech companies?
- Are there affordable options for cloud-based healthcare data management solutions?
- Typical costs for implementing enterprise analytics platforms in life sciences
- How can advanced analytics improve time-to-market for new treatments?
- What are the most effective data analytics solutions for pharmaceutical research?
- Should healthcare organizations outsource technology solutions for clinical trials?
- Common issues when integrating healthcare data from multiple sources
- Clinical data analytics vs real-world evidence platforms: what's the difference?
- Top trends in data-driven innovation for biotech and healthcare organizations
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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<a href="https://aeo-audit.rezolve.com/us/iqvia.com"><img src="https://aeo-audit.rezolve.com/us/badges/iqvia.com.svg" alt="Overall score 40 of 100, US AI Visibility Study 2026" width="280" height="64"></a>