AI access report
tv4play.se
Blocks 6 of 24 answer engines, blocks 20 training crawlers.
3 failing
4 partial
18 passing
Scanned 15 hours ago · 1 scan on record
Reach
33.7
/ 40
Whether AI crawlers and answer-engine fetchers are permitted to request the page at all. What happens on the wire outweighs what the policy file says: a live refusal costs 16 of these 40 points, twice what the heaviest robots.txt rule costs, because a page a crawler cannot fetch is unreadable no matter how well it is marked up.
Readability
16.8
/ 25
Whether a fetcher that does not execute JavaScript receives the actual content, in markup an extractor can segment.
Structure
18
/ 20
Machine-readable markup that states the page's type, entities, canonical URL, and discrete facts instead of leaving them to be inferred.
Attribution
4
/ 9
Signals that let an answer engine name the author, date the content, resolve the publisher, and cite it under known terms.
Who is allowed to read this site 6 of 24 answer engines blocked
| Crawler | Operator | Uses content for | robots.txt | Live request |
|---|---|---|---|---|
| GPTBot Crawls content that may be used to train OpenAI's generative AI foundation models. |
OpenAI | Model training | blocked Disallow: / |
served 200 |
| OAI-SearchBot Indexes pages so they can be surfaced and cited in ChatGPT search results, not for training. |
OpenAI | Answer index | allowed Allow: / |
served 200 |
| ChatGPT-User Fetches a page when a ChatGPT user or GPT Action asks for it; user-initiated, so robots rules may not apply. |
OpenAI | Live retrieval | blocked Disallow: / |
not probed |
| OAI-AdsBot Visits pages submitted as ChatGPT ads to check policy compliance and ad relevance; not used for model training. |
OpenAI | Live retrieval | allowed | not probed |
| ClaudeBot Collects web content that may contribute to training Anthropic's models; honors Crawl-delay. |
Anthropic | Model training | blocked Disallow: / |
served 200 |
| Claude-User Retrieves pages on demand when a Claude user's question needs live web content. |
Anthropic | Live retrieval | allowed | not probed |
| Claude-SearchBot Indexes content to improve the relevance and accuracy of Claude's search results. |
Anthropic | Answer index | allowed | not probed |
| anthropic-ai Legacy token widely blocked for Anthropic training; Anthropic now documents ClaudeBot, Claude-User and Claude-SearchBot. |
Anthropic | Model training | blocked Disallow: / |
not probed |
| Google-Extended Control token with no user agent of its own; governs Gemini training and grounding use of Googlebot data. |
Model training | blocked Disallow: / |
not probed | |
| Googlebot Crawls and renders pages for Google Search, Images, Video, News and Discover. |
Answer index | allowed | not probed | |
| Googlebot-News Robots token controlling Google News inclusion; crawling itself uses the Googlebot user agents. |
Answer index | allowed | not probed | |
| Google-CloudVertexBot Crawls sites at a site owner's request to build Vertex AI agents; no effect on Google Search. |
Live retrieval | allowed | not probed | |
| GoogleOther Generic Google crawler used by product teams for one-off fetches such as internal research and development. |
Model training | allowed | not probed | |
| Applebot Crawls for Siri, Spotlight and Safari search; falls back to Googlebot rules and ignores Crawl-delay. |
Apple | Answer index | allowed | not probed |
| Applebot-Extended Control token with no user agent; disallowing it excludes crawled content from Apple foundation model training. |
Apple | Model training | blocked Disallow: / |
not probed |
| Bingbot Indexes pages for Bing search and the Copilot answers that are grounded in the Bing index. |
Microsoft | Answer index | allowed | not probed |
| msnbot Legacy Microsoft search crawler token still honored alongside bingbot. |
Microsoft | Answer index | allowed | not probed |
| PerplexityBot Indexes and links pages in Perplexity search results; not used to collect foundation model training data. |
Perplexity | Answer index | blocked Disallow: / |
served 200 |
| Perplexity-User ignores robots Fetches a page for a specific user question; Perplexity documents that it generally ignores robots.txt. |
Perplexity | Live retrieval | blocked Disallow: / |
not probed |
| Meta-ExternalAgent Crawls the web to train Meta's foundation AI models and to index content directly into products. |
Meta | Model training | blocked Disallow: / |
not probed |
| Meta-ExternalFetcher ignores robots Fetches individual links for agentic AI tasks; Meta documents that it may bypass robots.txt. |
Meta | Live retrieval | allowed | not probed |
| FacebookBot Crawls public pages to improve language models behind Meta's speech recognition technology. |
Meta | Model training | blocked Disallow: / |
not probed |
| Meta-WebIndexer Indexes pages so Meta AI can cite and link them in its search answers. |
Meta | Answer index | allowed | not probed |
| Meta-ExternalAds Crawls the web to improve Meta's advertising and other business products and services. |
Meta | Model training | allowed | not probed |
| facebookexternalhit ignores robots Fetches shared links for Facebook, Instagram and Messenger previews; may bypass robots.txt for integrity checks. |
Meta | Live retrieval | allowed | not probed |
| Bytespider ignores robots Downloads content to train ByteDance LLMs and is widely reported to ignore robots.txt directives. |
ByteDance | Model training | blocked Disallow: / |
not probed |
| TikTokSpider ignores robots Fetches shared URLs for TikTok link previews and feeds; not expected to follow robots.txt. |
ByteDance | Live retrieval | allowed | not probed |
| Amazonbot Crawls for Amazon product and Alexa answers and may use the content to train Amazon AI models. |
Amazon | Model training | blocked Disallow: / |
not probed |
| Amzn-SearchBot Indexes content for Amazon search experiences such as Alexa; does not crawl for generative AI training. |
Amazon | Answer index | allowed | not probed |
| Amzn-User ignores robots Fetches live pages to answer a user's Alexa question; Amazon documents it may not follow all robots.txt rules. |
Amazon | Live retrieval | allowed | not probed |
| CCBot Builds the open Common Crawl web archive, a common source of LLM pretraining corpora. |
Common Crawl Foundation | Archive | blocked Disallow: / |
not probed |
| Diffbot Extracts structured page data for Diffbot's knowledge graph, which is licensed to AI customers. |
Diffbot | Model training | blocked Disallow: / |
not probed |
| omgili Collects forum, news and blog content that Webz.io sells as web data feeds, including for AI training. |
Webz.io | Model training | blocked Disallow: / |
not probed |
| omgilibot Legacy Omgili search crawler token still blocked alongside the current omgili agent. |
Webz.io | Model training | blocked Disallow: / |
not probed |
| AI2Bot Collects web text for Ai2's open datasets used to train open language models such as OLMo. |
Allen Institute for AI | Model training | blocked Disallow: / |
not probed |
| cohere-ai Retrieves pages to answer user-initiated prompts in Cohere's enterprise AI products. |
Cohere | Live retrieval | blocked Disallow: / |
not probed |
| cohere-training-data-crawler Downloads training data for the large language models behind Cohere's enterprise AI products. |
Cohere | Model training | blocked Disallow: / |
not probed |
| MistralAI-User Fetches pages on demand so Mistral's Vibe assistant can answer a question with live, cited web content. |
Mistral AI | Live retrieval | blocked Disallow: / |
not probed |
| MistralAI-Index Indexes content for Mistral search behind Vibe answers; not used for generative AI training. |
Mistral AI | Answer index | allowed | not probed |
| MistralAI-Training Crawls web content to build datasets for training Mistral's generative AI models. |
Mistral AI | Model training | allowed | not probed |
| DuckAssistBot Crawls pages in real time for DuckDuckGo's cited AI-assisted answers; not used for model training. |
DuckDuckGo | Live retrieval | allowed | not probed |
| YouBot Indexes pages for You.com search results and the AI answers built on that index. |
You.com | Answer index | blocked Disallow: / |
not probed |
| PanguBot Collects web content used to train Huawei's PanGu family of large models. |
Huawei | Model training | blocked Disallow: / |
not probed |
| Timpibot Crawls pages for Timpi's decentralized index, which is also used as LLM training data. |
Timpi | Model training | blocked Disallow: / |
not probed |
| ImagesiftBot Downloads public images plus surrounding text to build ImageSift's searchable image index. |
ImageSift (Hive) | Model training | blocked Disallow: / |
not probed |
| Kangaroo Bot Scrapes site content into datasets used to train the Kangaroo LLM. |
Kangaroo LLM | Model training | blocked Disallow: / |
not probed |
| SemrushBot-OCOB Crawls pages to feed Semrush's ContentShake AI writing tool. |
Semrush | Model training | blocked Disallow: / |
not probed |
| Scrapy Generic scraping framework often used to build AI training datasets; obeys robots.txt only when ROBOTSTXT_OBEY is on. |
Zyte (open-source framework) | Model training | blocked Disallow: / |
not probed |
Two of these columns matter differently. robots.txt is what the site declares. Live request is what actually happened when we sent a real request using that crawler's user agent from a datacentre IP, which is how edge blocking, rate limits and challenge pages show up even when robots.txt looks permissive.
Reach 33.7 / 40
✗
Answer-engine fetchers are blocked, so you cannot be cited
Blocked from citing you: ChatGPT-User, PerplexityBot, Perplexity-User, cohere-ai, MistralAI-User, YouBot.
Why it matters. Retrieval fetchers (OAI-SearchBot, ChatGPT-User, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User) load a page at answer time to quote and link it. When robots.txt disallows them the assistant drops the URL from its candidate set, so the citation goes to a competitor while your training exposure stays exactly the same.
Fix. Separate the two crawler classes in robots.txt instead of blocking by vendor. Allow `OAI-SearchBot` and `ChatGPT-User` (OpenAI retrieval and user-initiated fetches), `Claude-SearchBot` and `Claude-User` (Anthropic retrieval), and `PerplexityBot` and `Perplexity-User`; keep any opt-out you want on `GPTBot`, `ClaudeBot`, `CCBot`, `Google-Extended`, and `Applebot-Extended`. Order does not decide precedence in RFC 9309 parsers, the longest matching rule does, so make the allow rules at least as specific as the disallow rules. Blocking retrieval buys nothing on training, because the training crawlers are separate user agents with separate rules.
Fix. Separate the two crawler classes in robots.txt instead of blocking by vendor. Allow `OAI-SearchBot` and `ChatGPT-User` (OpenAI retrieval and user-initiated fetches), `Claude-SearchBot` and `Claude-User` (Anthropic retrieval), and `PerplexityBot` and `Perplexity-User`; keep any opt-out you want on `GPTBot`, `ClaudeBot`, `CCBot`, `Google-Extended`, and `Applebot-Extended`. Order does not decide precedence in RFC 9309 parsers, the longest matching rule does, so make the allow rules at least as specific as the disallow rules. Blocking retrieval buys nothing on training, because the training crawlers are separate user agents with separate rules.
# Retrieval and citation fetchers: allowed.
User-agent: OAI-SearchBot
User-agent: ChatGPT-User
User-agent: Claude-SearchBot
User-agent: Claude-User
User-agent: PerplexityBot
User-agent: Perplexity-User
Allow: /
# Training and dataset crawlers: disallowed.
User-agent: GPTBot
User-agent: ClaudeBot
User-agent: CCBot
User-agent: Google-Extended
User-agent: Applebot-Extended
Disallow: /
User-agent: *
Allow: /
Disallow: /checkout
Sitemap: https://example.com/sitemap.xml8 pt
!
Training crawlers are disallowed for this path
Blocked by robots.txt: GPTBot, ClaudeBot, anthropic-ai, Google-Extended, Applebot-Extended, Meta-ExternalAgent, FacebookBot, Bytespider, Amazonbot, Diffbot, omgili, omgilibot, AI2Bot, cohere-training-data-crawler, PanguBot, Timpibot, ImagesiftBot, Kangaroo Bot, SemrushBot-OCOB, Scrapy.
Why it matters. GPTBot, ClaudeBot, and CCBot collect pages into pretraining corpora, and Google-Extended and Applebot-Extended are opt-out tokens that govern whether already-crawled pages may be used for Gemini and Apple Intelligence. Disallowing them removes your text from the corpora models generalise from, which is a policy choice, not a bug.
Fix. Decide this deliberately rather than by inheriting a template. If you want your content in model weights, remove the `Disallow: /` groups for `GPTBot`, `ClaudeBot`, `CCBot`, `Google-Extended`, and `Applebot-Extended`. If you do not, keep those groups but scope them to the paths that matter and leave retrieval fetchers untouched, because `Google-Extended` and `Applebot-Extended` only control training use and never affect search or answer citation. Record the decision somewhere durable so the next robots.txt edit does not silently reverse it.
Fix. Decide this deliberately rather than by inheriting a template. If you want your content in model weights, remove the `Disallow: /` groups for `GPTBot`, `ClaudeBot`, `CCBot`, `Google-Extended`, and `Applebot-Extended`. If you do not, keep those groups but scope them to the paths that matter and leave retrieval fetchers untouched, because `Google-Extended` and `Applebot-Extended` only control training use and never affect search or answer citation. Record the decision somewhere durable so the next robots.txt edit does not silently reverse it.
# Opt out of model training only.
User-agent: GPTBot
User-agent: ClaudeBot
User-agent: CCBot
User-agent: Google-Extended
User-agent: Applebot-Extended
Disallow: /5 pt
✓
AI user agents receive the same 200 response as browsers
Live requests as 4 AI user agents were served normally.
16 pt
✓
No blanket disallow applies to this path
The wildcard group does not disallow the entire site.
4 pt
✓
robots.txt served as plain text with a 200 response
robots.txt served, 5834 bytes, 44 group(s).
2 pt
✓
Page is indexable, with no noindex directive
No noindex directive on the homepage.
2 pt
✓
No Crawl-delay directive constrains fetchers
No Crawl-delay directive.
1 pt
✓
Full-length snippet extraction is permitted
Snippets are not restricted by meta tags.
1 pt
✓
X-Robots-Tag header is absent or permissive
No restrictive X-Robots-Tag header.
1 pt
Readability 16.8 / 25
✗
Visible text is a small fraction of the HTML payload
Text is 0.6% of the 198 KB document; 137 KB is inline script.
Why it matters. Extractors strip scripts, styles, and wrapper markup before passing text to a model, and a page where content is a small fraction of the payload loses more of it to boilerplate removal. Inline JSON state blobs and deeply nested wrappers also push real text past the truncation limit of a retrieval context.
Fix. Move inline hydration state and large inline scripts out of the document, or fetch them after load instead of embedding them. Flatten wrapper `div` trees and let semantic elements carry the content, and keep utility-class soup out of the article body. Serve the same text without the boilerplate at a stable URL if you need a clean extraction target.
Fix. Move inline hydration state and large inline scripts out of the document, or fetch them after load instead of embedding them. Flatten wrapper `div` trees and let semantic elements carry the content, and keep utility-class soup out of the article body. Serve the same text without the boilerplate at a stable URL if you need a clean extraction target.
4 pt
!
Raw HTML contains almost no readable text before JavaScript runs
175 words of text are present in the raw HTML (next.js). Most AI fetchers do not run JavaScript.
Why it matters. Most AI fetchers, including OAI-SearchBot, ChatGPT-User, Claude-User, and PerplexityBot, take the raw HTTP response and do not run JavaScript. A client-rendered page therefore arrives as an empty root element plus script tags, and the model has nothing to quote or summarise.
Fix. Render the primary content on the server: server-side rendering, static generation at build time, or prerendering into the HTML response. Keep client JavaScript for interactive extras such as filters and comments, never for the article body, product description, or specifications table. Verify by fetching the page with an AI user agent, stripping tags, and counting words, which is what the fetcher effectively sees. Confirm the numbers match the browser view rather than trusting a framework's hydration claim.
Fix. Render the primary content on the server: server-side rendering, static generation at build time, or prerendering into the HTML response. Keep client JavaScript for interactive extras such as filters and comments, never for the article body, product description, or specifications table. Verify by fetching the page with an AI user agent, stripping tags, and counting words, which is what the fetcher effectively sees. Confirm the numbers match the browser view rather than trusting a framework's hydration claim.
curl -s -A "OAI-SearchBot/1.0" https://example.com/page \
| sed -e 's/<script[^>]*>.*<\/script>//g' -e 's/<[^>]*>/ /g' \
| tr -s '[:space:]' ' ' \
| wc -w9 pt
✓
Primary content is wrapped in a semantic landmark
A <main> landmark marks the primary content.
3 pt
✓
Headings form a single, ordered outline
1 H1 and 6 headings total.
3 pt
✓
Title is unique and describes the page in specific terms
Title is 40 characters: "TV4 Play | Hela Sveriges streamingtjänst"
3 pt
✓
Meta description provides an author-written summary
Meta description is 90 characters.
2 pt
✓
Document language is declared on the html element
Declared language: sv.
1 pt
Structure 18 / 20
!
Structured data is too generic for what the page is about
Recognized types: organization.
Why it matters. Answer engines route by entity type: a `Product` node supplies price and availability, an `Article` node supplies author and dates, and a `FAQPage` node supplies question and answer pairs. A generic `WebPage` or `WebSite` node on a product or article page carries none of those fields, so the specific facts stay unavailable.
Fix. Replace bare `WebPage` and `WebSite` nodes with the most specific type that describes the page, and fill the properties that type defines. Use `@graph` to publish several linked nodes on one page, such as an `Article` whose `publisher` points at an `Organization` node by `@id`. Add `BreadcrumbList` for hierarchy and reuse the same `@id` values across pages so the entity resolves to one record.
Fix. Replace bare `WebPage` and `WebSite` nodes with the most specific type that describes the page, and fill the properties that type defines. Use `@graph` to publish several linked nodes on one page, such as an `Article` whose `publisher` points at an `Organization` node by `@id`. Add `BreadcrumbList` for hierarchy and reuse the same `@id` values across pages so the entity resolves to one record.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Product",
"@id": "https://example.com/products/widget#product",
"name": "Widget Pro",
"sku": "WGT-PRO-1",
"brand": { "@type": "Brand", "name": "Example" },
"offers": {
"@type": "Offer",
"url": "https://example.com/products/widget",
"price": "49.00",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock"
}
},
{
"@type": "BreadcrumbList",
"itemListElement": [
{ "@type": "ListItem", "position": 1, "name": "Products", "item": "https://example.com/products" },
{ "@type": "ListItem", "position": 2, "name": "Widget Pro" }
]
}
]
}4 pt
✓
Page ships JSON-LD structured data
2 JSON-LD node(s): Organization, ContactPoint.
7 pt
✓
JSON-LD parses cleanly with recognised schema.org terms
All JSON-LD blocks parse cleanly.
3 pt
✓
Page declares a self-referential canonical URL
Canonical: https://www.tv4play.se
3 pt
✓
XML sitemap is declared in robots.txt and returns 200
Sitemap found at /sitemap.xml (202 URLs on the first document).
2 pt
✓
Key facts are available in lists or tables
0 tables, 9 lists, 0 code blocks, 0 question headings.
1 pt
Attribution 4 / 9
✗
No /llms.txt index of canonical pages
No /llms.txt.
Why it matters. `/llms.txt` is a markdown file that points an assistant at the canonical pages for a site, so retrieval does not depend on which page a search happened to return. Its format is fixed: one `#` title, a `>` blockquote summary, then `##` sections of markdown links with short notes.
Fix. Publish `/llms.txt` as `text/plain` markdown: an `#` H1 with the project name, a `>` blockquote summary, optional plain paragraphs of context, then `##` sections whose bullets are `[title](absolute-url): note`. Link the pages you want quoted, put lower-priority links under an `## Optional` section, and prefer URLs that also serve clean markdown. Keep it generated from the same source as your sitemap so it does not drift, and remember it is a hint for assistants, not an access control mechanism.
Fix. Publish `/llms.txt` as `text/plain` markdown: an `#` H1 with the project name, a `>` blockquote summary, optional plain paragraphs of context, then `##` sections whose bullets are `[title](absolute-url): note`. Link the pages you want quoted, put lower-priority links under an `## Optional` section, and prefer URLs that also serve clean markdown. Keep it generated from the same source as your sitemap so it does not drift, and remember it is a hint for assistants, not an access control mechanism.
# Example
> Example publishes reference documentation for the Widget API and guides for
> configuring crawler access.
Prefer the pages below over search results; each URL is canonical.
## Docs
- [Widget API reference](https://example.com/docs/api): endpoints, auth, limits.
- [Quickstart](https://example.com/docs/quickstart): first request in five minutes.
## Policies
- [Crawler policy](https://example.com/legal/crawlers): which agents we allow.
## Optional
- [Changelog](https://example.com/changelog): dated release notes.4 pt
!
No machine-readable license or usage terms for the content
No licence declaration, so reuse terms are ambiguous.
Why it matters. A `license` property, or a linked terms page, states the reuse conditions in a place a crawler can read, rather than leaving them to be inferred. Where terms are unstated, some pipelines default to the more restrictive handling, which reduces how much of the text is quoted.
Fix. Add a `license` property to the page's structured data pointing at a specific license URL, such as a Creative Commons deed or your own terms page, and add `rel="license"` on the visible link. Use `usageInfo` for conditions that are not a standard license, such as attribution wording or an API-only clause. State the terms once, at a stable URL, and reference it from every page rather than restating it per template.
Fix. Add a `license` property to the page's structured data pointing at a specific license URL, such as a Creative Commons deed or your own terms page, and add `rel="license"` on the visible link. Use `usageInfo` for conditions that are not a standard license, such as attribution wording or an API-only clause. State the terms once, at a stable URL, and reference it from every page rather than restating it per template.
<a rel="license" href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Allow AI answer engines in robots.txt",
"license": "https://creativecommons.org/licenses/by/4.0/",
"usageInfo": "https://example.com/legal/content-reuse",
"creditText": "Example, crawlcensus research desk"
}
</script>2 pt
–
No machine-readable author is attached to the page
This page declares no article-type structured data, so a machine-readable byline is not expected of it. The check is excluded from the score rather than counted as a failure.
Why it matters. An `author` property in structured data is what lets an answer engine name a person or organisation as the source and link the byline to a stable profile. A byline that exists only as styled text is not reliably associated with the document during extraction.
Fix. Add an `author` property to the page's `Article`, `BlogPosting`, or `NewsArticle` node, typed as `Person` or `Organization`, with a `name` and a `url` pointing at a real profile page. Give each author a stable `@id` and reuse it across posts so the entity consolidates. Keep the visible byline identical to the structured value, and avoid generic names such as "Admin" or "Staff Writer" where a real author exists.
Fix. Add an `author` property to the page's `Article`, `BlogPosting`, or `NewsArticle` node, typed as `Person` or `Organization`, with a `name` and a `url` pointing at a real profile page. Give each author a stable `@id` and reuse it across posts so the entity consolidates. Keep the visible byline identical to the structured value, and avoid generic names such as "Admin" or "Staff Writer" where a real author exists.
{
"@context": "https://schema.org",
"@type": "BlogPosting",
"headline": "Allow AI answer engines in robots.txt",
"author": {
"@type": "Person",
"@id": "https://example.com/authors/dana-reyes#person",
"name": "Dana Reyes",
"url": "https://example.com/authors/dana-reyes",
"jobTitle": "Infrastructure Engineer",
"sameAs": ["https://github.com/danareyes"]
}
}3 pt
–
No machine-readable published or modified date
This page declares no article-type structured data, so publication and modification dates are not expected of it. The check is excluded from the score rather than counted as a failure.
Why it matters. Answer engines prefer recent sources for questions about current state and use `dateModified` to decide whether a cached copy needs refetching. With no machine-readable date the page is treated as undated and loses to competitors that publish one.
Fix. Publish `datePublished` and `dateModified` in the page's structured data as ISO 8601 values with a timezone offset. Update `dateModified` only when the content actually changes, since bumping it on every deploy trains crawlers to ignore it. Mirror the value in a visible `<time datetime>` element so the rendered text and the metadata agree, and keep the sitemap `lastmod` consistent with it.
Fix. Publish `datePublished` and `dateModified` in the page's structured data as ISO 8601 values with a timezone offset. Update `dateModified` only when the content actually changes, since bumping it on every deploy trains crawlers to ignore it. Mirror the value in a visible `<time datetime>` element so the rendered text and the metadata agree, and keep the sitemap `lastmod` consistent with it.
<time datetime="2026-08-04T14:20:00-04:00">Updated August 4, 2026</time>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Allow AI answer engines in robots.txt",
"datePublished": "2026-02-11T09:00:00-05:00",
"dateModified": "2026-08-04T14:20:00-04:00"
}
</script>3 pt
✓
Organization entity declares the publisher and its identifiers
Organization entity with sameAs links is present.
3 pt
Evidence raw measurements
robots.txt
- Size
- 5,834 bytes
- Groups
- 44
- Sitemaps
- https://www.tv4play.se/sitemap.xml
View the file as our crawler received it
User-agent: *
Disallow: /rss_feeds
# =========================
# Explicitly Allowed Agents
# =========================
# OpenAI Search Bot is explicitly allowed to access all content
User-agent: OAI-SearchBot
Allow: /
# =========================
# AI / LLM-Related Crawlers (Disallowed)
# =========================
# Common Crawl robot, the resulting dataset is often used for LLM training.
User-agent: CCBot
Disallow: /
# ChatGPT robot, used to improve ChatGPT LLM.
User-agent: ChatGPT-User
Disallow: /
# ChatGPT/2.0 robot agent replacing version 1.0, used to improve ChatGPT LLM.
User-agent: ChatGPT-User/2.0
Disallow: /
# ChatGPT robot, may be used to improve ChatGPT LLM.
User-agent: GPTBot
Disallow: /
# Robot used to improve Bard and Vertex AI LLMs.
User-agent: Google-Extended
Disallow: /
# Used by webz.io; their datasets are frequently used to train LLMs.
User-agent: omgili
Disallow: /
# Used by webz.io; their datasets are frequently used to train LLMs.
User-agent: omgilibot
Disallow: /
# FacebookBot crawls public web pages, which can feed Facebook’s LLM efforts.
# Note: Official Meta crawler that generates preview snippets and link metadata for Facebook and Instagram.
User-agent: FacebookBot
Disallow: /
# Amazonbot is used to train Amazon services such as Alexa.
User-agent: Amazonbot
Disallow: /
# Bytespider is ByteDance's bot (TikTok); may not respect robots.txt but is known for AI/ML data gathering.
User-agent: Bytespider
Disallow: /
# Robot used to improve Anthropic AI LLMs.
User-agent: anthropic-ai
Disallow: /
# Additional known AI/LLM bots
User-agent: AI2Bot
Disallow: /
User-agent: Applebot-Extended
Disallow: /
User-agent: Claude-Web
Disallow: /
User-agent: ClaudeBot
Disallow: /
User-agent: cohere-ai
Disallow: /
User-agent: cohere-training-data-crawler
Disallow: /
User-agent: Diffbot
Disallow: /
User-agent: Kangaroo Bot
Disallow: /
User-agent: Meta-ExternalAgent
Disallow: /
User-agent: PanguBot
Disallow: /
User-agent: Timpibot
Disallow: /
User-agent: Webzio-Extended
Disallow: /
User-agent: grapeshot
Disallow: /
#
# New added
#
# Ai2Bot-Dolma is operated by Ai2, a non-profit AI research institute. It's used to download data to train open source AI models. TODO Allow or Disallow
User-agent: Ai2Bot-Dolma
Disallow: /
# Crawlspace is a web crawler developed by Crawlspace Inc., designed to systematically browse and index web content for various applications, including data analysis, search engine optimization, and market research. TODO Allow or Disallow
User-agent: Crawlspace
Disallow: /
# FriendlyCrawler is a web crawler designed to index and analyze website content for various purposes, such as improving search engine results or gathering data for analytics. TODO Allow or Disallow
User-agent: FriendlyCrawler
Disallow: /
# The iaskspider crawler bot is an automated web crawler primarily used by the Chinese search engine iAsk to index web content. engine’s database. TODO Allow or Disallow
User-agent: iaskspider/2.0
Disallow: /
# ICC-Crawler is NICT's research crawler that automatically collects web pages from the Internet for academic research at Japan's National Institute of Information and Communications Technology. TODO Allow or Disallow
User-agent: ICC-Crawler
Disallow: /
# ImagesiftBot is an intelligence gatherer operated by Hive. TODO Allow or Disallow
User-agent: ImagesiftBot
Disallow: /
# Img2dataset may be crawling your website to collect publicly available images for inclusion in datasets used in machine learning and computer vision projects. TODO Allow or Disallow
User-agent: img2dataset
Disallow: /
# PetalBot is the web crawler for Huawei's Petal Search engine, and its user agent is a string of text that identifies it to websites. TODO Allow or Disallow
User-agent: PetalBot
Disallow: /
# Scrapy is an open-source web crawling framework for Python, used to extract data from websites. It is widely used for web scraping and data mining tasks. TODO Allow or Disallow
User-agent: Scrapy
Disallow: /
# SemrushBot is a web crawler operated by Semrush, a company that provides online visibility management and content marketing SaaS platforms. TODO Allow or Disallow
User-agent: SemrushBot-OCOB
Disallow: /
# SemrushBot-SWA is a specialized crawler used by Semrush's SEO Writing Assistant tool to check if URLs are accessible and verify content availability for SEO analysis. TODO Allow or Disallow
User-agent: SemrushBot-SWA
Disallow: /
# The Sidetrade crawler bot is an automated tool used by Sidetrade, a company specializing in AI-driven financial solutions. TODO Allow or Disallow
User-agent: Sidetrade indexer bot
Disallow: /
# VelenPublicWebCrawler is a web crawler operated by Velen, a company that provides cybersecurity solutions. The crawler is used to collect data from publicly accessible websites for analysis and security purposes. TODO Allow or Disallow
User-agent: VelenPublicWebCrawler
Disallow: /
# DuckAssistBot is a web crawler for DuckDuckGo Search that crawls pages in real-time for our AI-assisted answers, which prominently cite their sources TODO Allow or Disallow
User-agent: DuckAssistBot/1.2
Disallow: /
# Crawler behind You.com’s AI search and browser assistant, indexing content for real-time answers. TODO Allow or Disallow
User-agent: YouBot
Disallow: /
# Mistral’s real-time citation fetcher for “Le Chat” assistant; respects robots.txt directives. TODO Allow or Disallow
User-agent: MistralAI-User
Disallow: /
# Primary PerplexityBot crawler that indexes sites to build the Perplexity AI search engine. TODO Allow or Disallow
User-agent: PerplexityBot
Disallow: /
# Loads a page only when a user clicks a Perplexity citation; treated as human-like traffic. TODO Allow or Disallow
User-agent: Perplexity-User
Disallow: /
Sitemap: https://www.tv4play.se/sitemap.xml
Machine-readable extras
- llms.txt
- absent
- ai.txt
- absent
- Sitemap
- /sitemap.xml (202 URLs)
- Feeds
- none
- Schema types
- Organization, ContactPoint
- Edge
- CloudFront
- Final URL
- https://www.tv4play.se/
- HTML size
- 198 KB, 175 words of text
Compare it with a competitor head to head
Put tv4play.se next to another domain and see which one an answer engine can actually read. Both sides are measured the same way, so the difference is the finding.
Publish the score free
Sites that score well embed the badge. It links back to this live report, which re-measures on every scan.
<a href="https://crawlcensus.com/site/tv4play.se"><img src="https://crawlcensus.com/badge/tv4play.se.svg" alt="AI access score for tv4play.se" width="150" height="20"></a>Track changes on this domain free for one
Crawler policy is edited quietly. We re-scan monitored domains daily, keep the history, and email you the moment a crawler is blocked or unblocked, an llms.txt appears, or the score moves.
Free for one domain per address, and always free for domains you have verified you own. No newsletter, only change alerts.
Pro follows 25 domains, keeps 90 days of history, compares them against each other and exports the lot as CSV, for 19 dollars a month. That is the difference: measuring is free, watching a portfolio is not.
Reading this as a crawler? check before you fetch
Most of the traffic to these report pages is automated, so this is addressed to it. The same measurement behind this page will tell you, before you spend a request, whether a domain will actually serve your agent, whether its robots.txt permits you while the edge refuses you anyway, or whether it answers HTTP 402 because it will serve you for money.
curl -X POST https://crawlcensus.com/api/v1/preflight \
-H 'content-type: application/json' \
-d '{"agent":"gptbot","domains":["tv4play.se"]}'Works for any crawler token, not only the ones tracked here. Also an MCP server at https://crawlcensus.com/mcp, a plain deny-list file per agent, and clients for JavaScript and Python. Everything for crawler operators.
If this census publishes something wrong about your crawler, the correction channel is on your operator page.