- Visibility6
- Citations0
- Sentiment50
- Site quality33
- AI readiness7
AI assistants name Rentrak in 5% of answers to everyday market questions, which is less often than the typical company in the technology sector. Its overall score is 18 out of 100, ranking 2,034th of 2,047 companies. The website passes 1 out of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named Rentrak. AI assistants named it in 3 of 60 answers (5.0%). The typical technology company is named in 10.0% of answers. By how often it is named, Rentrak ranks 185 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
“Box office tracking software vs. general entertainment analytics—what are the pros and cons for studios?”
I'll search for information about how studios use these different types of analytics tools.Based on the research, here's a breakdown of box office tracking software versus general entertainment analytics for studios:
Box Office Tracking Software
Pros:
Studios adjust marketing spend based on awareness trends, exhibitors allocate screens based on projected demand, and analysts use tracking to predict financial outcomes
Companies like Comscore and Rentrak offer minute-by-minute performance tracking, while platforms such as Cinelytic use AI to predict performance based on cast, genre, …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot 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 DiscoveryPassed
SVCB or HTTPS records under _agents that advertise agent endpoints.
- 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 rulesNot 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 3 of 100 · 97% of checks could run · checked on October 5, 2026 · www.rentrak.com · 2,047 companies scanned
1 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
- Not metrobots.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%
- 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%
How many times each website was listed as a source in these answers
In the study as US-listed.
- Box office tracking software vs. general entertainment analytics—what are the pros and cons for studios?
- How do audience analytics platforms differ from traditional box office reporting services?
- How do movie analytics tools help film industry professionals make informed decisions?
- How do studios use comprehensive movie data platforms to guide release strategies?
- How much do movie industry analytics platforms typically cost for small production companies?
- What alternatives exist for tracking historical box office trends if you can't access premium analytics tools?
- What are the best platforms for tracking movie box office performance in the US?
- What should film distributors look for in a movie audience analytics service?
- What are common ways cinema owners leverage detailed box office analytics to optimize programming?
- Is subscribing to a professional movie performance analytics platform worth it for indie filmmakers?
- Why might a movie not appear in weekend box office analytics reports?
- Are there free or low-cost tools available for accessing US theater performance data?
- How can film analysts resolve discrepancies in reported box office numbers across different sources?
- Best audience measurement options for film marketers without access to enterprise-grade platforms
- What features should analysts look for in a comprehensive movie performance intelligence platform?
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/rentrak.com"><img src="https://aeo-audit.rezolve.com/us/badges/rentrak.com.svg" alt="Overall score 18 of 100, US AI Visibility Study 2026" width="280" height="64"></a>