- Visibility9
- Citations0
- Sentiment88
- Site quality80
- AI readiness14
AI assistants name WeRide in 6.7% of answers, which is less often than the typical company in the technology sector. Its overall score is 35 out of 100, ranking 855th of 2,047 companies. The website passes 2 of 14 technical checks of readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named WeRide. AI assistants named it in 4 of 60 answers (6.7%). The typical technology company is named in 10.0% of answers. By how often it is named, WeRide ranks 165 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
“What are practical applications of end-to-end ADAS platforms for urban mobility?”
End-to-end Advanced Driver-Assistance Systems (ADAS) platforms offer a wide range of practical applications for improving urban mobility, focusing on safety, efficiency, and the eventual transition to autonomous driving. These platforms integrate various technologies, from sensors to AI, to create a more cohesive and intelligent driving experience in complex urban environments.
Here are some practical applications:
Enhanced Safety for All Road Users:
Collision Avoidance: End-to-end ADAS platforms significantly reduce accidents by providing features like automatic emergenc …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it 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.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesNot 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%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 0 of 100 · 97% of checks could run · checked on October 5, 2026 · weride.ai · 2,047 companies scanned
2 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
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.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%
How many times each website was listed as a source in these answers
In the study as US-listed.
- What are practical applications of end-to-end ADAS platforms for urban mobility?
- How do you address unexpected obstacles during autonomous shuttle operations?
- Are commercial-stage autonomous driving platforms worth the upgrade for automotive OEMs?
- What factors influence the price of upgrading to Level 4 autonomous driving capabilities?
- How much does it cost to implement a scalable autonomous driving solution for city fleets?
- Which autonomous mobility platforms are most suitable for smart city planning in the US?
- What might cause urban autonomous vehicles to fail in complex city environments?
- Is investing in urban autonomous vehicle solutions cost-effective for transportation providers?
- Are there non-autonomous solutions that still enhance urban mobility for transit operators?
- What other automated driving options exist for reducing city congestion besides full autonomy?
- Autonomous robotaxi vs. autonomous shuttle: which is better for city transport networks?
- What are alternatives to using fully autonomous vehicles in city transportation?
- How are autonomous robo-shuttles being used in public transit systems?
- What are the best autonomous driving systems for urban transportation solutions?
- How do Level 2 self-driving features compare to Level 4 autonomous driving technologies?
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/weride.ai"><img src="https://aeo-audit.rezolve.com/us/badges/weride.ai.svg" alt="Overall score 35 of 100, US AI Visibility Study 2026" width="280" height="64"></a>