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10X Genomics

10xgenomics.com · Technology · TXG

Ranked 804 of 2,047 companies in the study

35Overall score
  • Visibility32
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness7
What this means for 10X Genomics

AI assistants name 10X Genomics in 30% of answers, which is more often than the typical company in the technology sector at 10%. The company has an overall score of 35 out of 100, ranking 804th of 2,047 companies. Its website passes 1 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the technology market: none named 10X Genomics. AI assistants named it in 18 of 60 answers (30.0%). The typical technology company is named in 10.0% of answers. By how often it is named, 10X Genomics ranks 47 of 273 in its sector.

Named by AI in
30.0%
18 of 60 answers
Share of mentions
36.0%
compared with 5 rivals
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
143 of 273
by overall score, where the typical technology company scores 36
How 10X Genomics 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
32

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
80

How well built the website's own pages are

AI readiness
7

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 technology

273 companies in this sector. The line on each bar is the typical company.

Overall score35
Ranks 143 of 273. Typical company: 36
Named in answers30%
Ranks 47 of 273. Typical company: 10%
AI readiness7
Ranks 255 of 273. Typical company: 29
What Claude actually said

An answer that names the company

“What technologies are available for whole-transcriptome profiling at single-cell resolution?”

I'll search for current information on single-cell transcriptome profiling technologies.Let me search for more specific information about different single-cell transcriptomics technologies.Let me search for information on long-read single-cell sequencing technologies like PacBio and Oxford Nanopore.Based on my search results, I can provide you with a comprehensive overview of technologies available for whole-transcriptome profiling at single-cell resolution:

Major Technology Platforms

Short-Read Sequencing Technologies

There are three prevalent droplet-based systems for high-throughp …

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

Also named
Illumina7
Share of mentions

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

10X Genomics
40.0%
Illumina
28.9%
NanoString Technologies
20.0%
Fluidigm (now Standard BioTools)
8.9%
Bio-Rad Laboratories
2.2%
Pacific Biosciences (PacBio)
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
5/15
OpenAI
5/15
Claude
4/15
Perplexity
4/15
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
80 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    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 28 of 100 · 97% of checks could run · checked on October 3, 2026 · 10xgenomics.com · 2,047 companies scanned

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

The checks behind the AI readiness score

1 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
  • Not metrobots.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%
Websites the AI used as sources

How many times each website was listed as a source in these answers

pmc.ncbi.nlm.nih.gov
113
illumina.com
18
ncbi.nlm.nih.gov
16
link.springer.com
15
cd-genomics.com
13
frontiersin.org
13
10xgenomics.com (its own website)
12
labmanager.com
11
nature.com
11
onlinelibrary.wiley.com
11

In the study as US-listed.

Every question, and where the company came up (6 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Spatial genomics vs single-cell genomics: Which approach is better for cancer research?
  • How can spatial genomics help uncover mechanisms behind treatment success or failure in oncology?
  • Is investing in advanced genomics instrumentation worth it for a mid-sized academic lab?
  • How does single-cell RNA sequencing compare to bulk RNA sequencing for profiling tissues?
  • What are typical genomics workflows used in pharmaceutical drug development?
  • What technologies are available for whole-transcriptome profiling at single-cell resolution?
  • Do premium genomics software solutions provide measurable benefits over basic analysis tools?
  • Which lower-cost genomics analysis tools are available for laboratories with limited budgets?
  • What is the price range for spatial genomics instruments and consumables in the US?
  • Which single-cell analysis instruments are most popular in biomedical research labs?
  • What are some alternatives to high-throughput spatial profiling platforms in genomics?
  • Are there affordable options for single-cell transcriptomics solutions for academic research groups?
  • What are common challenges when working with FFPE samples in high-throughput single-cell workflows?
  • Why might a spatial transcriptomics experiment yield low sensitivity or poor sample coverage?
  • What are the best genomics platforms for spatial transcriptomics research?
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 35 of 100 badge for 10X Genomics

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<a href="https://aeo-audit.rezolve.com/us/10xgenomics.com"><img src="https://aeo-audit.rezolve.com/us/badges/10xgenomics.com.svg" alt="Overall score 35 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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