- Visibility28
- Citations2
- Sentiment50
- Site quality80
- AI readiness29
AI assistants name Priceline in 31.7% of answers, which is more often than the typical company in the travel sector at 21.7%. Its overall score is 36 out of 100, ranking 705th of 2,047 companies. The website passes 4 out of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the travel market: none named Priceline (Booking Holdings). 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, Priceline (Booking Holdings) 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
“What are the best ways to find deals on hotels and flights for US travelers?”
The best ways to find hotel and flight deals for US travelers are to compare prices across multiple search engines, check the airline/hotel directly, use flexible dates, and set price alerts. For hotels specifically, last-minute deals, loyalty programs, member discounts, and refundable-booking rechecks are consistently useful tactics.
Use aggregators first for baseline pricing: Google Hotels/Travel, Kayak, Skyscanner, Trivago, and similar sites let you compare many options quickly before booking.
Then check direct with the airline or hotel …
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 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%WebMCPNot met
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 30 of 100 · 100% of checks could run · checked on October 3, 2026 · www.priceline.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%
- Not metHTTP 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 1 AI crawler by name. All others follow its general rules.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*allowed
- 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 S&P 500.
- What are the best ways to find deals on hotels and flights for US travelers?
- How do prices of travel packages with hotels, flights, and cars fluctuate during peak seasons?
- How can I book a multi-city vacation in the US at the lowest possible price?
- What are the best alternatives for booking last-minute hotel deals in the US?
- How can I get the biggest discounts on rental cars for a summer road trip?
- Online travel agencies vs direct hotel booking: which is usually cheaper in the US?
- What’s the best way to find hidden deals on 4-star hotels in major US cities?
- What should I do if my discounted hotel booking was not confirmed?
- How do flexible travel dates impact the cost of booking hotels and flights online?
- How to resolve issues when a rental car deal doesn't match what's advertised online?
- Which other platforms offer deep discounts for business travelers booking rental cars?
- If I can’t find a good price on an online travel site, where else can I look for affordable vacation packages?
- How do last-minute travel booking sites compare to traditional travel agencies for saving money?
- Is booking a bundle with hotel and flight really worth it for a weekend getaway?
- Are express deals on hotel rooms a good way to save money for business travel?
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/priceline.com"><img src="https://aeo-audit.rezolve.com/us/badges/priceline.com.svg" alt="Overall score 36 of 100, US AI Visibility Study 2026" width="280" height="64"></a>