- Visibility0
- Citations0
- Sentiment50
- Site quality80
- AI readiness43
AI assistants do not name Oklo in any of their 60 answers, while the typical company in the energy sector is named in 3.3% of answers. Oklo has an overall score of 28 out of 100, ranking 1,491st of 2,047 companies. Its website passes 6 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the energy market: none named Oklo. AI assistants named it in none of 60 answers. The typical energy company is named in 3.3% of answers. By how often it is named, Oklo ranks 74 of 109 in its sector.
Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.
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.
109 companies in this sector. The line on each bar is the typical company.
The company is not named in this answer
“Is investing in next-generation nuclear reactors worth it for large-scale industrial facilities?”
This is a complex question that depends on several factors. Let me search for current information on next-generation nuclear reactors and their suitability for industrial facilities.Based on recent research and industry developments, the answer is nuanced and depends on the specific industrial application:
Current Status
Only four SMRs are operational as of 2024, so the technology is still nascent. However, regulators are reviewing several promising SMR projects by Kairos Power, NuScale Power, and Westinghouse, and development is accelerating.
Key Advantages for Industrial Facilities …
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 DiscoveryPassed
SVCB or HTTPS records under _agents that advertise agent endpoints.
- 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 45 of 100 · 97% of checks could run · checked on October 5, 2026 · oklo.com · 2,047 companies scanned
6 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%
- 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 12 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AI*partly
- Google-Extended*partly
- Applebot-Extended*partly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBot*partly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*partly
- Claude-User*partly
- Perplexity-User*partly
- 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.
- Is investing in next-generation nuclear reactors worth it for large-scale industrial facilities?
- Which advanced fission power plant technologies offer clean energy for U.S. utilities?
- What factors influence the cost of clean energy from fast fission power plants in the United States?
- How can government agencies use isotope production from advanced nuclear facilities for medical or research applications?
- Are advanced nuclear fuel recycling services cost-effective for utilities looking to reduce waste?
- What are the main applications of domestically produced isotopes in energy and manufacturing sectors?
- What are the best advanced nuclear energy solutions for industrial power users seeking reliable electricity?
- What other advanced clean energy sources can utilities consider alongside new nuclear power plants?
- What are common deployment challenges with modular advanced nuclear reactors?
- How do fast fission power plants compare to traditional light water reactors in terms of reliability and safety?
- Nuclear fuel recycling vs. direct disposal—what are the benefits and tradeoffs for energy providers?
- How do long-term energy purchase agreements typically work for advanced nuclear energy solutions?
- What are the safest alternatives to traditional nuclear energy for high-demand industrial operations?
- Alternatives to domestic nuclear fuel recycling for closing the nuclear fuel cycle in the U.S.?
- How can downtime risks be minimized for nuclear facilities using recycled fuels?
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.