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Natera

natera.com · Healthcare · NTRA

Ranked 1,248 of 2,047 companies in the study

30Overall score
  • Visibility9
  • Citations2
  • Sentiment50
  • Site quality87
  • AI readiness21
What this means for Natera

AI assistants rarely name Natera in their answers, mentioning it in 2 out of 60 cases. In those answers, they also name Guardant Health and Foundation Medicine. Its overall score is 30 out of 100, ranking 1,248th of 2,047 companies. The website passes 3 out of 14 technical checks for AI tools.

We asked 15 unbranded questions about the healthcare market: none named Natera. AI assistants named it in 2 of 60 answers (3.3%). The typical healthcare company is named in 3.3% of answers. By how often it is named, Natera ranks 48 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
3.3%
2 of 60 answers
Share of mentions
16.7%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
54 of 105
by overall score, where the typical healthcare company scores 31
How Natera 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
9

How often AI assistants name the company

Citations
2

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

Sentiment
50

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 score30
Ranks 54 of 105. Typical company: 31
Named in answers3%
Ranks 48 of 105. Typical company: 3%
AI readiness21
Ranks 53 of 105. Typical company: 21
What OpenAI actually said

An answer that names the company

“How much do advanced cell-free DNA tests for oncology generally cost in the United States?”

Short answer

For comprehensive oncology cell-free DNA (cfDNA / ctDNA) NGS panels: expect list/cash prices roughly in the low‑thousands to high‑thousands of dollars — commonly about $3,000–$8,000 per test. (academic.oup.com)

For tumor‑informed MRD/monitoring ctDNA assays (e.g., Signatera, Guardant Reveal): list or per‑draw prices are often in the low‑thousands (company ASPs/targets often around $1,000–$2,500 per time point), though many insured patients pay far less or nothing after coverage/assistance. ([fool.com] …

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

Also named
Guardant Health2Foundation Medicine1
Share of mentions

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

Guardant Health
71.4%
Natera
28.6%
Foundation Medicine
0.0%
Myriad Genetics
0.0%
Invitae
0.0%
BioReference Laboratories (GenPath)
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
2/15
Claude
0/15
Gemini
0/15
Perplexity
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
Can an AI agent buy here?

Not by itself. Natera publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The shop runs on WooCommerce.

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.natera.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
135
pubmed.ncbi.nlm.nih.gov
23
frontiersin.org
22
acog.org
19
ncbi.nlm.nih.gov
14
natera.com (its own website)
13
academic.oup.com
12
nature.com
12
ascopubs.org
8
ajog.org
7

In the study as US-listed.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Alternatives to cell-free DNA analysis for prenatal genetic screening in high-risk pregnancies?
  • What factors can lead to false positives in cell-free DNA testing for rare diseases?
  • What kinds of health conditions beyond cancer and pregnancy can be monitored with cell-free DNA testing?
  • How does tumor-informed cell-free DNA testing compare to tumor-agnostic testing for oncology patients?
  • How much do advanced cell-free DNA tests for oncology generally cost in the United States?
  • What are the main alternatives to cell-free DNA testing for monitoring minimal residual disease in cancer?
  • What are the best cell-free DNA tests for early cancer detection in the US?
  • How is cell-free DNA analysis used to assess risk for preeclampsia during pregnancy?
  • What should you do if a cell-free DNA test result for recurrence monitoring is inconclusive?
  • Which types of cell-free DNA testing are most recommended for monitoring women’s reproductive health?
  • Cell-free DNA testing vs traditional biopsy: pros and cons for organ transplant monitoring?
  • Are cell-free DNA tests for prenatal screening typically covered by US insurance plans?
  • Are advanced cell-free DNA tests for pregnancy monitoring accurate enough to justify their cost?
  • Is it worth getting a comprehensive cell-free DNA test to guide personalized cancer treatment decisions?
  • In what ways can cell-free DNA testing help guide early interventions in organ transplant rejection?
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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