AI access report
flipboard.com
Blocks 12 of 24 answer engines, blocks 19 training crawlers, refuses AI user agents at the edge.
6 failing
3 partial
18 passing
Scanned 1 hour ago · 2 scans on record
Reach
23.4
/ 40
Whether AI crawlers and answer-engine fetchers are permitted to request the page at all, in robots.txt, in robots directives, and at the edge.
Readability
21.1
/ 25
Whether a fetcher that does not execute JavaScript receives the actual content, in markup an extractor can segment.
Structure
20
/ 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
/ 15
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 12 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: / |
refused 403 |
| OAI-SearchBot Indexes pages so they can be surfaced and cited in ChatGPT search results, not for training. |
OpenAI | Answer index | blocked Disallow: / |
refused 403 |
| 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 | allowed | 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 | blocked Disallow: / |
not probed |
| Claude-SearchBot Indexes content to improve the relevance and accuracy of Claude's search results. |
Anthropic | Answer index | blocked Disallow: / |
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 | allowed | 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 | allowed | 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 | blocked Disallow: / |
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 | blocked Disallow: / |
not probed |
| facebookexternalhit ignores robots Fetches shared links for Facebook, Instagram and Messenger previews; may bypass robots.txt for integrity checks. |
Meta | Live retrieval | blocked Disallow: / |
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 | blocked Disallow: / |
not probed |
| MistralAI-Training Crawls web content to build datasets for training Mistral's generative AI models. |
Mistral AI | Model training | blocked Disallow: / |
not probed |
| DuckAssistBot Crawls pages in real time for DuckDuckGo's cited AI-assisted answers; not used for model training. |
DuckDuckGo | Live retrieval | blocked Disallow: / |
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 | allowed | 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 23.4 / 40
✗
Answer-engine fetchers are blocked, so you cannot be cited
Blocked from citing you: OAI-SearchBot, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User, Meta-ExternalFetcher, facebookexternalhit, cohere-ai, MistralAI-User, MistralAI-Index, DuckAssistBot, 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.xml12 pt
✗
Edge returns 403, 429, or a challenge to AI user agents
Requests identifying as gptbot, oai-searchbot were refused at the edge (HTTP 403 Forbidden; HTTP 403 Forbidden).
Why it matters. A permissive robots.txt is irrelevant if the edge answers an AI user agent with 403, 429, or a JavaScript challenge. Retrieval fetchers do not solve interstitials, so the assistant records a fetch failure and answers from another source.
Fix. Fetch the page with each AI user agent string and compare the status and byte count against a browser request. On Cloudflare, check whether the "Block AI bots" toggle in AI Crawl Control, a Bot Fight Mode rule, or a WAF custom rule on `cf.verified_bot_category` is catching the request, then narrow it: block the training category and add a skip rule for the retrieval agents you want citing you. Verified bots must not be handed Managed Challenge, since a challenge is a hard failure for a non-browser client. Re-test after every WAF or bot-management change, because these toggles are applied zone-wide.
Fix. Fetch the page with each AI user agent string and compare the status and byte count against a browser request. On Cloudflare, check whether the "Block AI bots" toggle in AI Crawl Control, a Bot Fight Mode rule, or a WAF custom rule on `cf.verified_bot_category` is catching the request, then narrow it: block the training category and add a skip rule for the retrieval agents you want citing you. Verified bots must not be handed Managed Challenge, since a challenge is a hard failure for a non-browser client. Re-test after every WAF or bot-management change, because these toggles are applied zone-wide.
for ua in "OAI-SearchBot/1.0" "ChatGPT-User/1.0" "Claude-User/1.0" \
"Claude-SearchBot/1.0" "PerplexityBot/1.0" "Mozilla/5.0"; do
code=$(curl -s -o /dev/null -w '%{http_code}' -A "$ua" https://example.com/)
printf '%s\t%s\n' "$code" "$ua"
done6 pt
!
Training crawlers are disallowed for this path
Blocked by robots.txt: GPTBot, ClaudeBot, anthropic-ai, Meta-ExternalAgent, FacebookBot, Meta-ExternalAds, Bytespider, Amazonbot, Diffbot, omgili, omgilibot, AI2Bot, cohere-training-data-crawler, MistralAI-Training, PanguBot, Timpibot, ImagesiftBot, Kangaroo Bot, 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: /8 pt
!
robots.txt sets Crawl-delay, which most fetchers ignore
Crawl-delay of 10s is declared. Large crawlers may fetch only a few pages per hour, or ignore the directive entirely.
Why it matters. `Crawl-delay` is not in RFC 9309. Googlebot and OpenAI's fetchers ignore it, while some retrieval agents that do honour it will space requests seconds apart, which can exceed an answer engine's fetch timeout and leave the page uncited.
Fix. Remove `Crawl-delay` and handle load at the edge instead, with caching and rate limiting keyed on the client. If crawl volume is the real problem, cache HTML at your CDN so repeat fetches never reach the origin. Keep the file to standard directives (`User-agent`, `Allow`, `Disallow`, `Sitemap`) so parser behaviour is predictable.
Fix. Remove `Crawl-delay` and handle load at the edge instead, with caching and rate limiting keyed on the client. If crawl volume is the real problem, cache HTML at your CDN so repeat fetches never reach the origin. Keep the file to standard directives (`User-agent`, `Allow`, `Disallow`, `Sitemap`) so parser behaviour is predictable.
# Remove non-standard throttling directives:
# Crawl-delay: 10
User-agent: *
Allow: /2 pt
✓
No blanket disallow applies to this path
The wildcard group does not disallow the entire site.
5 pt
✓
robots.txt served as plain text with a 200 response
robots.txt served, 5261 bytes, 3 group(s).
3 pt
✓
Page is indexable, with no noindex directive
No noindex directive on the homepage.
2 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 21.1 / 25
✗
Visible text is a small fraction of the HTML payload
Text is 0.2% of the 1465 KB document; 1290 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
✓
Substantive text is present in the server-rendered HTML
424 words of text are present in the raw HTML. Most AI fetchers do not run JavaScript.
9 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 14 headings total, 2 phrased as questions.
3 pt
✓
Title is unique and describes the page in specific terms
Title is 31 characters: "Flipboard: Your Social Magazine"
3 pt
✓
Meta description provides an author-written summary
Meta description is 115 characters.
2 pt
✓
Document language is declared on the html element
Declared language: en.
1 pt
Structure 20 / 20
✓
Page ships JSON-LD structured data
4 JSON-LD node(s): WebSite, SearchAction, Organization, ImageObject.
7 pt
✓
Structured data uses a specific type that matches the page
Recognized types: website, organization.
4 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://flipboard.com/
3 pt
✓
XML sitemap is declared in robots.txt and returns 200
Sitemap found at /sitemap.xml (1988 URLs on the first document).
2 pt
✓
Key facts are available in lists or tables
0 tables, 4 lists, 0 code blocks, 2 question headings.
1 pt
Attribution 4 / 15
✗
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 author is attached to the page
No author or Person entity, which weakens the authority signals answer engines use.
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
No publication or modification dates in structured data.
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
!
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
✓
Organization entity declares the publisher and its identifiers
Organization entity with sameAs links is present.
3 pt
Evidence raw measurements
robots.txt
- Size
- 5,261 bytes
- Groups
- 3
- Sitemaps
- https://flipboard.com/sitemap.xml
View the file as our crawler received it
# robots.txt for http://flipboard.com
# Ultimate AI Block List v1.4 20250417
# https://perishablepress.com/ultimate-ai-block-list/
User-agent: .ai
User-agent: Agentic
User-agent: AI Article Writer
User-agent: AI Content Detector
User-agent: AI Dungeon
User-agent: AI Search Engine
User-agent: AI SEO Crawler
User-agent: AI Writer
User-agent: AI21 Labs
User-agent: AI2Bot
User-agent: AIBot
User-agent: AIMatrix
User-agent: AISearchBot
User-agent: AI Training
User-agent: AITraining
User-agent: Alexa
User-agent: Alpha AI
User-agent: AlphaAI
User-agent: Amazon Bedrock
User-agent: Amazon-Kendra
User-agent: Amazon Lex
User-agent: Amazon Comprehend
User-agent: Amazon Sagemaker
User-agent: Amazon Silk
User-agent: Amazon Textract
User-agent: AmazonBot
User-agent: Amelia
User-agent: AndersPinkBot
User-agent: Anthropic
User-agent: AnyPicker
User-agent: Anyword
User-agent: Aria Browse
User-agent: Articoolo
User-agent: Automated Writer
User-agent: AwarioRssBot
User-agent: AwarioSmartBot
User-agent: Azure
User-agent: BardBot
User-agent: Brave Leo
User-agent: ByteDance
User-agent: Bytespider
User-agent: CatBoost
User-agent: CC-Crawler
User-agent: CCBot
User-agent: ChatGLM
User-agent: Chinchilla
User-agent: Claude
User-agent: ClearScope
User-agent: Cohere
User-agent: Common Crawl
User-agent: CommonCrawl
User-agent: Content Harmony
User-agent: Content King
User-agent: Content Optimizer
User-agent: Content Samurai
User-agent: ContentAtScale
User-agent: ContentBot
User-agent: Contentedge
User-agent: Conversion AI
User-agent: Copilot
User-agent: CopyAI
User-agent: Copymatic
User-agent: Copyscape
User-agent: Cotoyogi
User-agent: CrawlQ AI
User-agent: Crawlspace
User-agent: Crew AI
User-agent: CrewAI
User-agent: DALL-E
User-agent: DataForSeoBot
User-agent: DataProvider
User-agent: DeepAI
User-agent: DeepL
User-agent: DeepMind
User-agent: DeepSeek
User-agent: Diffbot
User-agent: Doubao AI
User-agent: DuckAssistBot
User-agent: FacebookBot
User-agent: FacebookExternalHit
User-agent: Falcon
User-agent: Firecrawl
User-agent: Flyriver
User-agent: Frase AI
User-agent: FriendlyCrawler
User-agent: Gemini
User-agent: Gemma
User-agent: GenAI
User-agent: Genspark
User-agent: GLM
User-agent: Goose
User-agent: GPT
User-agent: Grammarly
User-agent: Grendizer
User-agent: Grok
User-agent: GT Bot
User-agent: GTBot
User-agent: Hemingway Editor
User-agent: Hugging Face
User-agent: Hypotenuse AI
User-agent: iaskspider
User-agent: ICC-Crawler
User-agent: ImageGen
User-agent: ImagesiftBot
User-agent: img2dataset
User-agent: INK Editor
User-agent: INKforall
User-agent: IntelliSeek
User-agent: Inferkit
User-agent: ISSCyberRiskCrawler
User-agent: JasperAI
User-agent: Kafkai
User-agent: Kangaroo
User-agent: Keyword Density AI
User-agent: Knowledge
User-agent: KomoBot
User-agent: LLaMA
User-agent: LLMs
User-agent: magpie-crawler
User-agent: MarketMuse
User-agent: Meltwater
User-agent: Meta AI
User-agent: Meta-AI
User-agent: Meta-External
User-agent: MetaAI
User-agent: MetaTagBot
User-agent: Mistral
User-agent: Narrative
User-agent: NeevaBot
User-agent: Neural Text
User-agent: NeuralSEO
User-agent: Nova Act
User-agent: OAI-SearchBot
User-agent: Omgili
User-agent: Open AI
User-agent: OpenAI
User-agent: OpenBot
User-agent: OpenText AI
User-agent: Operator
User-agent: Outwrite
User-agent: Page Analyzer AI
User-agent: PanguBot
User-agent: Paperlibot
User-agent: Paraphraser.io
User-agent: Perplexity
User-agent: PetalBot
User-agent: Phindbot
User-agent: PiplBot
User-agent: ProWritingAid
User-agent: QuillBot
User-agent: RobotSpider
User-agent: Rytr
User-agent: SaplingAI
User-agent: Scalenut
User-agent: Scraper
User-agent: Scrapy
User-agent: ScriptBook
User-agent: SEO Content Machine
User-agent: SEO Robot
User-agent: Sentibot
User-agent: Sidetrade
User-agent: Simplified AI
User-agent: Sitefinity
User-agent: Skydancer
User-agent: SlickWrite
User-agent: Sonic
User-agent: Spin Rewriter
User-agent: Spinbot
User-agent: Stability
User-agent: StableDiffusionBot
User-agent: Sudowrite
User-agent: Super Agent
User-agent: Surfer AI
User-agent: Text Blaze
User-agent: TextCortex
User-agent: The Knowledge AI
User-agent: Timpibot
User-agent: Vidnami AI
User-agent: Webzio
User-agent: Whisper
User-agent: WordAI
User-agent: Wordtune
User-agent: WormsGTP
User-agent: WPBot
User-agent: Writecream
User-agent: WriterZen
User-agent: Writescope
User-agent: Writesonic
User-agent: xAI
User-agent: xBot
User-agent: YouBot
User-agent: Zero GTP
User-agent: Zerochat
User-agent: Zhipu
User-agent: Zimm
User-agent: GPTBot
Disallow: /
# Amazon Ads brand-safety verification crawler — full access required per Amazon's
# Brand Safety Compliance guide (adbot.amazon.com). Explicit Allow: / and
# Crawl-delay: 0 so AmazonAdBot can verify content on any page where ads may run.
User-agent: AmazonAdBot
Allow: /
Crawl-delay: 0
User-agent: *
Disallow: /analytics/
Disallow: /api/
Disallow: /bookmarklet/
Disallow: /editor/
Disallow: /getflipit
Disallow: /logout
Disallow: /notifications
Disallow: /post
Disallow: /oauth/
Disallow: /redirect?
Disallow: /search/
Disallow: /signout
Disallow: /static/ebsa/
Disallow: /static/gfs/
Disallow: /zite-importer
Disallow: /.well-known/
Disallow: /section
Disallow: /cover/
Crawl-delay: 10
Sitemap: https://flipboard.com/sitemap.xml
Machine-readable extras
- llms.txt
- absent
- ai.txt
- absent
- Sitemap
- /sitemap.xml (1,988 URLs)
- Feeds
- none
- Schema types
- WebSite, SearchAction, Organization, ImageObject
- Edge
- Cloudflare
- Final URL
- https://flipboard.com/
- HTML size
- 1,465 KB, 424 words of text
Publish the score free
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<a href="https://crawlcensus.com/site/flipboard.com"><img src="https://crawlcensus.com/badge/flipboard.com.svg" alt="AI access score for flipboard.com" width="150" height="20"></a>Track changes on this domain pro
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