- Visibility35
- Citations9
- Sentiment79
- Site quality87
- AI readiness36
AI assistants name Ouster in 23.3% of answers, which is more often than the typical company in the technology sector. Its overall score is 47 out of 100, ranking 57th of 2,047 in the study. The company's website passes 5 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Ouster. AI assistants named it in 14 of 60 answers (23.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Ouster ranks 67 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
“Top uses for digital lidar sensor technology in intelligent infrastructure projects”
Based on current research and industry applications, here are the top uses for digital lidar sensor technology in intelligent infrastructure projects:
Traffic and Transportation Management
Intelligent Transportation Systems (ITS) are becoming increasingly popular worldwide, with LiDAR technology playing a key role in their growth. LiDAR sensors have gained traction for smart city and connected infrastructure applications such as intelligent intersections to ensure pedestrian and bicycle safety, parking and construction management, and drone-based traffic monitoring. Roadside lidar station …
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
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 rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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%WebMCPCould not check
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 · 97% of checks could run · checked on October 5, 2026 · ouster.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%
- 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 8 AI crawlers by name. All others follow its general rules.
- GPTBot*allowed
- ClaudeBot*allowed
- Anthropic-AIallowed
- Google-Extended*allowed
- Applebot-Extended*allowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBot*allowed
- Claude-SearchBotallowed
- PerplexityBot*allowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- ChatGPT-User*allowed
- Claude-User*allowed
- Perplexity-Userallowed
- DuckAssistBotallowed
- MistralAI-Userallowed
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.
- Top uses for digital lidar sensor technology in intelligent infrastructure projects
- Is investing in high-resolution lidar sensors worth it for drone applications?
- What should I look for when buying a digital lidar sensor for smart city integrations?
- Do higher-cost digital lidar sensors deliver significantly better reliability?
- Alternatives to digital lidar technology for 3D spatial sensing in robotics
- What are the best digital lidar sensors for automation in the US?
- Typical price ranges for digital lidar sensors with megapixel resolution in the US
- How does native color lidar compare to standard lidar for AI perception?
- What other sensing technologies can be used alongside digital lidar for smart infrastructure?
- Examples of integrating digital lidar sensors with AI systems for real-time perception
- Common issues with digital lidar sensors in rugged environments and how to solve them
- Best substitutes for digital lidar in applications requiring color and distance data
- Digital lidar sensors vs. analog lidar sensors: which is better for robotics?
- Why might a digital lidar sensor have reduced range in outdoor applications?
- How can digital lidar be used to improve the efficiency of warehouse automation?
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/ouster.com"><img src="https://aeo-audit.rezolve.com/us/badges/ouster.com.svg" alt="Overall score 47 of 100, US AI Visibility Study 2026" width="280" height="64"></a>