- Visibility25
- Citations2
- Sentiment69
- Site quality57
- AI readiness36
AI assistants name Oracle in 28.3% of answers, which is more frequent than the typical company in the technology sector at 10%. Oracle has an overall score of 35 out of 100, ranking 808th of 2,047 companies studied. Its website passes 5 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Oracle. AI assistants named it in 17 of 60 answers (28.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Oracle ranks 49 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 the best enterprise cloud technology platforms for large organizations?”
For large organizations, the best enterprise cloud technology platforms offer scalability, robust security, flexibility, and the ability to integrate with complex IT requirements. These platforms are designed to handle vast amounts of data, support mission-critical applications, and meet strict compliance standards. Many large enterprises adopt a multi-cloud strategy, utilizing an average of 2.6 public cloud providers simultaneously.
Here are some of the leading enterprise cloud technology platforms:
1. Amazon Web Services (AWS)
AWS is a dominant force in cloud infrastructure, offering a …
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
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 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 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 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 32 of 100 · 97% of checks could run · checked on October 4, 2026 · www.oracle.com · 2,047 companies scanned
5 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%
- 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 11 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
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebot*partly
- Amazonbot*partly
- YouBotpartly
- ChatGPT-User*partly
- Claude-Userpartly
- 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 S&P 500.
- Multi-cloud vs hybrid cloud: which approach is better for complex enterprise workloads?
- How can organizations address downtime issues in critical enterprise cloud applications?
- What are some common use-cases for deploying integrated business technologies in large corporations?
- What are the best enterprise cloud technology platforms for large organizations?
- Which options exist for organizations that want to avoid vendor lock-in with cloud technology platforms?
- Is migrating enterprise databases to the cloud worth it for cost savings and scalability?
- How do enterprise-grade databases support real-time analytics for U.S. retail businesses?
- How does an integrated cloud platform compare with a traditional on-premises IT stack for large businesses?
- Which cloud database solutions are most popular with U.S. enterprises?
- What features should enterprises look for when choosing a cloud-based business technology suite?
- How do costs compare between managed database services and self-hosted database options for enterprises?
- What are some alternatives to enterprise cloud database solutions for large businesses?
- What is the typical pricing structure for enterprise cloud computing platforms in the U.S.?
- Why might a cloud database service show connection errors during peak business hours?
- Best cloud tools for integrating business applications across multiple departments in large enterprises?
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/oracle.com"><img src="https://aeo-audit.rezolve.com/us/badges/oracle.com.svg" alt="Overall score 35 of 100, US AI Visibility Study 2026" width="280" height="64"></a>