Ocean Power Technologies
oceanpowertechnologies.com · Technology · OPTT
Ranked 486 of 2,047 companies in the study
- Visibility19
- Citations2
- Sentiment86
- Site quality80
- AI readiness29
AI assistants name Ocean Power Technologies in 11.7% of answers, which is a little more often than the typical company in the technology sector. Its overall score is 39 out of 100, ranking 486th of 2,047 companies. The company's website passes 4 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Ocean Power Technologies. AI assistants named it in 7 of 60 answers (11.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Ocean Power Technologies ranks 121 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
“Best unmanned surface vehicles for ocean research applications in the US”
Based on recent information, here are some of the best unmanned surface vehicles (USVs) for ocean research applications in the US:
Notable USV Platforms
Chance Maritime Technologies MC40: This vehicle has been used for uncrewed surface vehicle missions in the Northeast, demonstrating its capability for oceanographic research operations.
WAM-V: Ocean Power Technologies delivered a WAM-V unmanned surface vehicle to Stevens Institute of Technology, supporting marine research and expanding its academic market presence.
Oshen Robotic Sailing Vessels: A two-week trial off Cat Isla …
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%SitemapPartly 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 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%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 24 of 100 · 97% of checks could run · checked on October 5, 2026 · oceanpowertechnologies.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%
- PassedXML 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%
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.
- Best unmanned surface vehicles for ocean research applications in the US
- Typical applications for ocean intelligence platforms in government research programs
- What are other options besides unmanned surface vehicles for extended maritime data collection?
- Best renewable ocean energy solutions for supporting offshore oil and gas platforms
- What are the best autonomous maritime systems for persistent offshore monitoring?
- Alternatives to wave energy solutions for powering remote ocean installations
- Difference between unmanned surface vehicles and autonomous underwater vehicles for coastal defense missions
- How do wave energy converters compare to solar-powered ocean platforms for remote maritime power generation?
- How are persistent multi-domain maritime security systems used in coastal protection?
- Is deploying renewable ocean energy solutions cost-effective for long-term environmental monitoring?
- Are autonomous maritime surveillance systems worth the investment for offshore security?
- Common challenges when integrating wave energy converters into offshore operations
- Average cost range for deploying wave energy converters for offshore energy production
- What factors affect the pricing of autonomous maritime systems in the US market?
- How to address maintenance issues with autonomous unmanned surface vehicles?
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/oceanpowertechnologies.com"><img src="https://aeo-audit.rezolve.com/us/badges/oceanpowertechnologies.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>