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Insulet

insulet.com · Healthcare · PODD

Ranked 898 of 2,047 companies in the study

34Overall score
  • Visibility28
  • Citations0
  • Sentiment64
  • Site quality67
  • AI readiness14
What this means for Insulet

AI assistants name Insulet in 13.3% of answers, which is more often than the typical company in the healthcare sector at 3.3%. Its overall score is 34 out of 100, ranking 898th of 2,047 companies and 29th of 105 in its sector. The website passes 2 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the healthcare market: none named Insulet. AI assistants named it in 8 of 60 answers (13.3%). The typical healthcare company is named in 3.3% of answers. By how often it is named, Insulet ranks 17 of 105 in its sector.

Named by AI in
13.3%
8 of 60 answers
Share of mentions
50.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
29 of 105
by overall score, where the typical healthcare company scores 31
How Insulet 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
28

How often AI assistants name the company

Citations
0

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

Sentiment
64

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
14

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 score34
Ranks 29 of 105. Typical company: 31
Named in answers13%
Ranks 17 of 105. Typical company: 3%
AI readiness14
Ranks 91 of 105. Typical company: 21
What OpenAI actually said

An answer that names the company

“What is the average monthly cost of tubeless insulin pump therapy in the US?”

Short answer

For most people in the U.S. with commercial insurance, ongoing out‑of‑pocket cost for a tubeless pump (Omnipod) is commonly reported as roughly $0–$50 per month (the manufacturer states most users pay <$30/month and pharmacy-channel averages cited <$50). (omnipod.com)

For people paying cash (no insurance or limited coverage), the monthly cost can be several hundred dollars to nearly $1,000/month depending on insulin, pod consumption, and supplier — many consumer reports est …

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

Also named
Beta Bionics2
Share of mentions

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

Insulet
72.7%
Beta Bionics
18.2%
Medtronic Diabetes
9.1%
Tandem Diabetes Care
0.0%
Bigfoot Biomedical
0.0%
SOOIL
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
4/15
Gemini
2/15
Perplexity
1/15
Claude
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical team
Discoverability
41 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapNot 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 AuthCould not check

    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 CatalogCould not check

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

    study: 0.3%
  • OAuth discoveryCould not check

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

    study: 11.8%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

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

    study: 0.2%
  • A2A Agent CardCould not check

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

    study: 0.1%
  • Agent SkillsCould not check

    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 manifestCould not check

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

    study: 0.1%

Score 24 of 100 · 65% of checks could run · checked on October 5, 2026 · www.insulet.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • Not metXML 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

omnipod.com
112
pmc.ncbi.nlm.nih.gov
78
adces.org
19
diabetesjournals.org
19
consumerguide.diabetes.org
15
healthline.com
14
my.clevelandclinic.org
13
diabetes.org
13
diatribe.org
10
diabetesnet.com
10

In the study as S&P 500.

Every question, and where the company came up (5 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What is the average monthly cost of tubeless insulin pump therapy in the US?
  • Pod-based insulin delivery systems vs. multiple daily injections: which is better for type 1 diabetes?
  • Are smart pens a good substitute for tubeless insulin delivery systems?
  • What are the best tubeless insulin delivery systems for active lifestyles?
  • What are some alternatives to pod-based insulin pumps for insulin delivery?
  • Why might a wearable insulin management device stop working suddenly, and how do I fix it?
  • How do pod-based wearable insulin devices support diabetes management during exercise?
  • Which wearable insulin management devices simplify diabetes care the most?
  • Do wearable, tubeless insulin pumps offer enough benefits to justify the higher cost?
  • Which innovative features should I look for in a wearable insulin pump?
  • How do tubeless insulin pumps compare to traditional tubed pumps for daily use?
  • Is it worth switching to a pod-based insulin delivery system for better diabetes management?
  • What should I do if my tubeless insulin pod fails to deliver the correct dose?
  • Are there any insurance options that help cover the price of wearable insulin management pods?
  • Are tubeless insulin delivery systems suitable for children or teens with diabetes?
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 34 of 100 badge for Insulet

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/insulet.com"><img src="https://aeo-audit.rezolve.com/us/badges/insulet.com.svg" alt="Overall score 34 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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