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Vertical Aerospace

vertical-aerospace.com · Industrial · EVTL

Ranked 1,156 of 2,047 companies in the study

31Overall score
  • Visibility10
  • Citations0
  • Sentiment57
  • Site quality80
  • AI readiness29
What this means for Vertical Aerospace

AI assistants name Vertical Aerospace in 5% of answers, about as often as the typical company in its sector. Its overall score is 31 out of 100, ranking 1,156th of 2,047. The website passes 4 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the industrial market: none named Vertical Aerospace. AI assistants named it in 3 of 60 answers (5.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, Vertical Aerospace ranks 116 of 246 in its sector.

Named by AI in
5.0%
3 of 60 answers
Share of mentions
16.7%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
123 of 246
by overall score, where the typical industrial company scores 31
How Vertical Aerospace 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
10

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
57

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
29

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 industrial

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

Overall score31
Ranks 123 of 246. Typical company: 31
Named in answers5%
Ranks 116 of 246. Typical company: 5%
AI readiness29
Ranks 34 of 246. Typical company: 21
What Claude actually said

An answer that names the company

“How can zero-emission vertical take-off and landing aircraft support airport transfer services?”

I'll search for information about how zero-emission VTOL aircraft can be used for airport transfer services.Based on the search results, zero-emission vertical take-off and landing aircraft can support airport transfer services in several key ways:

Time Efficiency and Speed

Zero-emission VTOL aircraft are being planned to connect major cities to local airports, such as New York City connections to Newark, Teterboro, JFK, and East Hampton Airport. By bypassing road traffic, these aircraft can significantly reduce travel time compared to ground transportation.

Cost-Effective Operations …

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

Also named
Lilium2
Share of mentions

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

Archer Aviation
30.8%
Vertical Aerospace
23.1%
Joby Aviation
23.1%
Lilium
23.1%
EVE Air Mobility (an Embraer company)
0.0%
Wisk Aero
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
1/15
Perplexity
1/15
OpenAI
0/15
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
100 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 headersCould not check

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    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 27 of 100 · 92% of checks could run · checked on October 5, 2026 · vertical-aerospace.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP 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%
What AI crawlers may read (robots.txt)

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.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • 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.

Websites the AI used as sources

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

evtol.travel
22
embention.com
18
faa.gov
15
amprius.com
13
pmc.ncbi.nlm.nih.gov
12
ntrs.nasa.gov
11
aviationweek.com
9
easa.europa.eu
9
sciencedirect.com
8
gensler.com
8

In the study as US-listed.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Options for clean-energy short-range air travel besides eVTOL technology?
  • Common challenges in operating all-electric vertical take-off and landing aircraft in the US?
  • What safety considerations are there for deploying electric air taxis in urban areas?
  • Are electric air taxis worth investing in for commercial operators?
  • What are the alternatives to electric vertical take-off and landing aircraft for sustainable city air transport?
  • How can zero-emission vertical take-off and landing aircraft support airport transfer services?
  • Typical price ranges for purchasing or leasing eVTOL vehicles in the US?
  • Different types of vertical take-off and landing technology for sustainable urban air mobility?
  • What factors influence the cost of operating electric vertical take-off and landing aircraft?
  • Is it practical for city planners to adopt eVTOL solutions for everyday transportation?
  • Best practices for integrating all-electric air vehicles into existing urban transport networks?
  • Electric vertical take-off and landing aircraft vs traditional helicopters: which is better for zero-emission urban travel?
  • How do eVTOL air taxi designs compare to small regional aircraft for short-distance passenger routes?
  • Best use cases for all-electric air taxis in urban transportation systems?
  • What are the main benefits of electric vertical take-off and landing aircraft for city travel?
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 31 of 100 badge for Vertical Aerospace

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