- Visibility51
- Citations1
- Sentiment63
- Site quality67
- AI readiness36
AI assistants name IMDb in 65% of answers, much more often than the typical company in the Media sector, which is named in 15% of answers. IMDb has an overall score of 44 out of 100, ranking 117th of 2,047 companies. Its website passes 3 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the media market: none named IMDb. AI assistants named it in 39 of 60 answers (65.0%). The typical media company is named in 15.0% of answers. By how often it is named, IMDb ranks 9 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
“How do online movie databases compare to streaming guides when searching for where to watch a film?”
Online movie databases and streaming guides both help users find films, but they serve different primary purposes and offer distinct features.
Online Movie Databases
Online movie databases like IMDb, The Movie Database (TMDB), Rotten Tomatoes, and Letterboxd are comprehensive repositories of information about films, TV shows, actors, and crew. They offer a rich tapestry of data, including:
Extensive Metadata: Details such as cast and crew information, plot summaries, genres, release dates, runtime, language, budget, and revenue.
Ratings and Reviews: User reviews and criti …
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.txtPassed
A valid robots.txt with crawl rules at the site root.
- 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 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 16 of 100 · 97% of checks could run · checked on October 5, 2026 · www.imdb.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 3 AI crawlers by name. All others follow its general rules.
- GPTBotblocked
- ClaudeBotblocked
- Anthropic-AIblocked
- Google-Extendedblocked
- Applebot-Extendedblocked
- Meta-ExternalAgentblocked
- FacebookBotblocked
- Bytespiderblocked
- CCBotblocked
- Diffbotblocked
- Omgilibotblocked
- OAI-SearchBotblocked
- Claude-SearchBotblocked
- PerplexityBotblocked
- Applebot*partly
- Amazonbot*partly
- YouBotblocked
- ChatGPT-Userblocked
- Claude-Userblocked
- Perplexity-Userblocked
- DuckAssistBot*partly
- MistralAI-Userblocked
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. One of the most visited websites in the United States (Similarweb, August 2026). Owned by Amazon.
- How do online movie databases compare to streaming guides when searching for where to watch a film?
- How can I discover new TV shows to watch based on what’s trending in the US?
- Are there ad-free versions of online movie and TV show information platforms, and are they worth the upgrade?
- How do I fix inaccurate or missing episode information on a movie and TV data website?
- What’s the best way to create and manage personal watchlists for movies and series online?
- Why aren’t some classic movies or new releases showing up in online TV show and movie listings?
- What are the best websites for finding ratings and reviews of movies and TV shows?
- Are there free platforms in the US that provide detailed cast and crew data for movies and shows?
- Movie review aggregators vs. fan-based rating sites—what are the main differences?
- How can entertainment enthusiasts track awards and box office stats for their favorite films?
- What are some alternatives to large online movie databases for detailed film trivia and behind-the-scenes info?
- Are there apps or sites focused on ratings from professional critics instead of general users?
- How much does it usually cost to access advanced search tools on movie and TV show discovery sites?
- What options exist for exploring streaming guides if I want up-to-date information on where to watch popular series?
- Is subscribing to a premium movie and TV show database worth the cost for regular viewers?
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/imdb.com"><img src="https://aeo-audit.rezolve.com/us/badges/imdb.com.svg" alt="Overall score 44 of 100, US AI Visibility Study 2026" width="280" height="64"></a>