- Visibility16
- Citations3
- Sentiment83
- Site quality87
- AI readiness29
AI assistants name 908 Devices in 6.7% of answers, about twice as often as the typical company in its group. Its overall score is 39 out of 100, ranking 499th of 2,047 companies. The company's website passes 4 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about its market: none named 908 Devices. AI assistants named it in 4 of 60 answers (6.7%). The typical company in its group is named in 3.3% of answers. By how often it is named, 908 Devices ranks 24 of 61 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.
61 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best portable mass spectrometry devices for rapid on-site chemical analysis?”
Portable mass spectrometry (MS) devices are increasingly vital for rapid, on-site chemical analysis across various fields, including hazmat operations, forensics, environmental monitoring, and medical diagnostics. These devices bring lab-quality analysis to the field, offering quick and reliable identification of substances.
Here are some of the best portable mass spectrometry devices and their key features:
1. 908 Devices MX908
Key Features: This handheld mass spectrometer is designed for elite responders dealing with chemical, explosive, priority drug, and hazmat operations. It …
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- 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 teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- 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.txtPassed
An llms.txt that tells language models what the site offers.
- 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%WebMCPNot met
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 35 of 100 · 100% of checks could run · checked on October 3, 2026 · 908devices.com · 2,047 companies scanned
4 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%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit 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%
This website sets rules for 5 AI crawlers by name. All others follow its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extended*blocked
- Meta-ExternalAgent*blocked
- FacebookBotpartly
- Bytespider*blocked
- CCBot*blocked
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbot*blocked
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Portable chemical analyzers vs. traditional laboratory equipment—what are the main differences?
- What are some alternatives to portable mass spectrometry for rapid substance identification?
- What are some real-world applications for field-deployable spectrometry equipment?
- Why might a portable mass spectrometer fail to detect certain substances?
- How does benchtop mass spectrometry compare to handheld analyzers for speed and convenience?
- Are there non-instrumental techniques for quick chemical detection in the field?
- What features should you look for in portable analytical devices for emergency response teams?
- What are the best portable mass spectrometry devices for rapid on-site chemical analysis?
- Which miniaturized analytical instruments are commonly used in field-based applications?
- What should you do if a handheld analyzer is giving inconsistent readings in the field?
- How are portable chemical analyzers used in hazmat response situations?
- Should law enforcement agencies invest in compact chemical detection tools?
- Are portable mass spectrometry devices worth the investment for forensic labs?
- What factors affect the price of portable chemical identification tools?
- How much does a compact mass spectrometer typically cost in the US?
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/908devices.com"><img src="https://aeo-audit.rezolve.com/us/badges/908devices.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>