- Visibility10
- Citations5
- Sentiment50
- Site quality87
- AI readiness36
AI assistants name CYNGN in 5% of answers, which is lower than the typical company in the technology sector at 10%. Its overall score is 33 out of 100, ranking 995th of 2,047 companies. The company's website passes 5 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named CYNGN. AI assistants named it in 3 of 60 answers (5.0%). The typical technology company is named in 10.0% of answers. By how often it is named, CYNGN ranks 185 of 273 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.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Are autonomous tow vehicles worth the investment for mid-sized warehouses aiming to increase efficiency?”
Short answer: often yes — autonomous tow (tugger) vehicles can be a very worthwhile investment for mid‑sized warehouses when the right conditions exist. They frequently deliver measurable labor, throughput, safety, and consistency gains and can pay back inside 1–3 years for many deployments — but they’re not automatically the best choice for every site. Below I summarize the benefits, typical costs/ROI evidence, key factors that determine whether it’s a good fit for your facility, and practical next steps.
Why they help (benefits)
Replace repetitive, predictable pallet/cart moves so labor c …
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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.
- Markdown negotiation
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 SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- 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 43 of 100 · 100% of checks could run · checked on October 3, 2026 · www.cyngn.com · 2,047 companies scanned
5 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%
- PassedHTTP 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%
- 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%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- 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.
- Autonomous mobile tuggers vs automated guided vehicles: which is better for back-and-forth workflows?
- What options exist besides robotics for automating repetitive material transport in industrial settings?
- What are common workflows in industrial facilities that benefit most from autonomous material handling robots?
- What should I do if an autonomous tugger vehicle frequently loses its mapped route in a busy facility?
- How can autonomous tuggers be used to automate cart towing in a manufacturing environment?
- Is it more cost-effective to lease or purchase autonomous material handling robots?
- Are autonomous tow vehicles worth the investment for mid-sized warehouses aiming to increase efficiency?
- How can I resolve connectivity or control issues with autonomous material handling robots on the warehouse floor?
- What are the top alternatives to pre-mapped autonomous tuggers for flexible warehouse automation?
- How do autonomous tugger vehicles compare to traditional forklifts for warehouse material transport?
- What is the typical price range for autonomous tugger vehicles in the United States market?
- Are there affordable autonomous material handling robots suitable for small distribution centers?
- What are the best autonomous tugger vehicles for streamlining material handling in US warehouses?
- What are the main alternatives to using autonomous tugger vehicles for repetitive warehouse hauling?
- What types of automation solutions are most effective for repetitive industrial hauling tasks?
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/cyngn.com"><img src="https://aeo-audit.rezolve.com/us/badges/cyngn.com.svg" alt="Overall score 33 of 100, US AI Visibility Study 2026" width="280" height="64"></a>