- Visibility32
- Citations1
- Sentiment50
- Site quality87
- AI readiness29
AI assistants name Vici Properties in 31.7% of answers, more often than the typical company in its sector. Its overall score is 38 out of 100, ranking 530th of 2,047 companies. The company’s website passes 4 out of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the travel market: none named Vici Properties. AI assistants named it in 19 of 60 answers (31.7%). The typical travel company is named in 21.7% of answers. By how often it is named, Vici Properties ranks 22 of 75 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.
75 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Where to find information on upcoming acquisitions in the US gaming and hospitality real estate sector?”
To find information on upcoming acquisitions in the US gaming and hospitality real estate sector, you can consult various sources that track mergers and acquisitions (M&A), real estate investment trusts (REITs), and industry news.
Here are some of the best places to look:
1. Industry News and Publications:
SBC Americas: This publication frequently reports on gaming M&A, including land-based and online gaming deals. They cover significant developments, such as casino acquisitions, divestitures, and regulatory approvals.
Hotel Investment Today: This resource provides breaki …
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 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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · viciproperties.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.
- GPTBotallowed
- ClaudeBotallowed
- Anthropic-AIallowed
- Google-Extendedallowed
- Applebot-Extendedallowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBotallowed
- Claude-SearchBotallowed
- PerplexityBotallowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- 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.
How many times each website was listed as a source in these answers
In the study as S&P 500.
- Where to find information on upcoming acquisitions in the US gaming and hospitality real estate sector?
- What are other ways to access returns from entertainment-focused real estate assets besides REITs?
- Typical fee structures for investing in hospitality and leisure-focused real estate investment trusts?
- Alternatives to investing in publicly traded experiential real estate trusts for exposure to gaming and leisure properties?
- Common challenges when investing in experiential property trusts tied to the entertainment sector?
- What role do hospitality and entertainment REITs play in diversifying a real estate investment portfolio?
- What are the top experiential real estate investment trusts focused on gaming and entertainment properties in the US?
- How can institutional investors use experiential property REITs to hedge against inflation?
- Differences between gaming hospitality REITs and conventional hotel REITs?
- How to mitigate the volatility in gaming and hospitality real estate trusts during economic downturns?
- How do experiential REITs compare to traditional office or retail REITs in terms of risk and returns?
- What factors determine the valuation and cap rates for experiential REITs with casino and resort assets?
- Are leisure and entertainment REITs worth it for institutional investors seeking stable dividends?
- Best ways to invest in hospitality and leisure-focused REITs for diversification?
- Is investing in experiential real estate trusts focused on casinos and resorts considered a good long-term strategy?
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/viciproperties.com"><img src="https://aeo-audit.rezolve.com/us/badges/viciproperties.com.svg" alt="Overall score 38 of 100, US AI Visibility Study 2026" width="280" height="64"></a>