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Riot Platforms

riotplatforms.com · Energy · RIOT

Ranked 1,067 of 2,047 companies in the study

32Overall score
  • Visibility12
  • Citations0
  • Sentiment75
  • Site quality67
  • AI readiness29
What this means for Riot Platforms

AI assistants name Riot Platforms in 6.7% of answers, more often than the typical company in the energy sector. Its overall score is 32 out of 100, ranking 1,067th of 2,047 companies. The company's website passes 4 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the energy market: none named Riot Platforms. AI assistants named it in 4 of 60 answers (6.7%). The typical energy company is named in 3.3% of answers. By how often it is named, Riot Platforms ranks 36 of 109 in its sector.

Named by AI in
6.7%
4 of 60 answers
Share of mentions
19.0%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
41 of 109
by overall score, where the typical energy company scores 29
How Riot Platforms 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
12

How often AI assistants name the company

Citations
0

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

Sentiment
75

How positively AI describes the company

Site quality
67

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 energy

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

Overall score32
Ranks 41 of 109. Typical company: 29
Named in answers7%
Ranks 36 of 109. Typical company: 3%
AI readiness29
Ranks 21 of 109. Typical company: 21
What OpenAI actually said

An answer that names the company

“What are the most reliable data center providers for large-scale Bitcoin mining operations in the US?”

Short answer — for large-scale, institutional Bitcoin-mining deployments in the U.S. the most commonly regarded, reliable data‑center providers / operators are:

Core Scientific — large, purpose‑built mining data centers across multiple U.S. states with proven hosting scale and in‑house facility development experience. Good option if you need high MW capacity and an operator experienced in miner hosting. (investors.corescientific.com)

Riot Platforms ( …

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

Also named
Core Scientific6CleanSpark2Cipher Mining1
Share of mentions

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

Core Scientific
43.8%
Riot Platforms
25.0%
Cipher Mining
12.5%
CleanSpark
12.5%
Marathon Digital Holdings
6.3%
Bitfarms
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
2/15
Claude
1/15
OpenAI
1/15
Gemini
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
Can an AI agent buy here?

Not by itself. Riot Platforms publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The shop runs on WooCommerce.

Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPartly met

    Serve an XML sitemap and reference it from robots.txt.

    study: 86.8%
  • Link headersNot met

    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 24 of 100 · 97% of checks could run · checked on October 5, 2026 · www.riotplatforms.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
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

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

d-central.tech
28
sec.gov
16
datacenters.com
15
spark.money
14
mexc.com
13
ezblockchain.net
13
finance.yahoo.com
12
simplemining.io
12
miningstore.com
9
gigaenergy.com
9

In the study as US-listed.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How do colocation data centers compare to fully-owned mining facilities for cryptocurrency operations?
  • What are the most reliable data center providers for large-scale Bitcoin mining operations in the US?
  • How do energy costs impact the profitability of large-scale Bitcoin mining data centers?
  • What are the main applications of high-power data centers aside from cryptocurrency mining?
  • Is investing in a dedicated Bitcoin mining facility worth it for institutional clients?
  • What should I consider before signing a multi-year energy contract with a US-based mining data center?
  • What should you do if your mining data center faces unexpected power curtailment events?
  • Common operational issues when managing high-density Bitcoin mining hardware in large US data centers
  • Typical pricing models for wholesale data center space geared towards Bitcoin miners in the US
  • How can enterprises leverage modular data centers for scalable Bitcoin mining expansion?
  • Where can institutional clients find approved, ready-to-deploy power pipelines for digital infrastructure projects?
  • Bitcoin mining in the US vs Canada: which offers better power cost advantages?
  • Non-traditional power sources for supporting sustainable Bitcoin mining infrastructure
  • Alternatives to developing fully-owned mining sites for crypto operations in the US
  • Best digital infrastructure options for institutional cryptocurrency miners seeking long-term contracts
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 32 of 100 badge for Riot Platforms

A badge of this result that you can show on your own website. Copy the code below.

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