- Visibility40
- Citations3
- Sentiment83
- Site quality80
- AI readiness21
AI assistants name Tripadvisor in 48.3% of answers, which is much more often than the typical company in the media sector at 15%. Tripadvisor's overall score is 45 out of 100, ranking 98th of 2,047 companies and 7th of 99 in its sector. Its website passes 3 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the media market: none named Tripadvisor. AI assistants named it in 29 of 60 answers (48.3%). The typical media company is named in 15.0% of answers. By how often it is named, Tripadvisor ranks 19 of 99 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.
99 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Is it worth using an online platform to book tours and attractions or should I wait until I arrive?”
This is a practical question about travel planning that depends on several factors. Here are the key considerations:
Advantages of booking online in advance:
Availability: Popular attractions and tours often sell out, especially during peak seasons. Booking ahead ensures you get a spot.
Better prices: Many platforms offer discounts for advance bookings compared to walk-up prices.
Peace of mind: You have your itinerary confirmed and don't need to worry about availability once you arrive.
Convenience: You can research and compare options from home at your own pace.
- …
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.
This website turned most of our scan away, so it has no level. Only 29% of the checks could run. That reflects the website’s rules for automated visitors, and an AI agent arriving by itself meets the same rules.
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%SitemapCould not check
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersCould not check
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 negotiationCould not check
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtCould not check
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 AuthCould not check
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogCould not check
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryCould not check
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceCould not check
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdCould not check
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardCould not check
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardCould not check
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsCould not check
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 manifestCould not check
Publish an ai-catalog.json listing every agent interface.
Score 54 of 100 · 29% of checks could run · checked on October 5, 2026 · www.tripadvisor.com · 2,047 companies scanned
3 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%
- Not metXML 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 13 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AIpartly
- Google-Extended*partly
- Applebot-Extended*blocked
- Meta-ExternalAgent*blocked
- FacebookBotpartly
- Bytespider*blocked
- CCBot*blocked
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebot*partly
- Amazonbot*blocked
- YouBot*blocked
- ChatGPT-User*partly
- 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 Consumer brands.
- Is it worth using an online platform to book tours and attractions or should I wait until I arrive?
- How can I avoid fake reviews when reading online travel advice?
- Where can I find the best travel reviews for hotels and attractions in the US?
- Hotel booking platforms vs direct hotel websites—pros and cons for travelers
- What are some alternatives to using popular travel review sites for vacation planning?
- How do prices for booking attractions online compare to booking in person?
- How can I reserve a table at highly-rated restaurants while traveling in the US?
- Are there extra fees when reserving hotels or tours through review platforms?
- Top resources for inspiration when planning a trip to major US cities
- How do restaurant review sites compare to general travel forums for finding places to eat?
- Best way to find local experiences and activities recommended by other travelers
- Are travel advice websites reliable for hotel reservations and recommendations?
- Best ways to get unbiased hotel and restaurant advice besides online rating platforms
- Resources for finding top-rated family-friendly attractions in the United States
- What should I do if my reservation through a travel review site doesn’t show up at the hotel?
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/tripadvisor.com"><img src="https://aeo-audit.rezolve.com/us/badges/tripadvisor.com.svg" alt="Overall score 45 of 100, US AI Visibility Study 2026" width="280" height="64"></a>