AI access report
amny.com
Blocks 16 of 24 answer engines, blocks 21 training crawlers.
3 failing
4 partial
20 passing
Scanned 11 minutes ago · 5 scans on record
trend
Reach
30.1
/ 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
20.6
/ 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
8.5
/ 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 16 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 402 |
| OAI-SearchBot Indexes pages so they can be surfaced and cited in ChatGPT search results, not for training. |
OpenAI | Answer index | blocked Disallow: / |
served 402 |
| 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 | 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 | 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 | blocked Disallow: / |
not probed | |
| GoogleOther Generic Google crawler used by product teams for one-off fetches such as internal research and development. |
Model training | blocked Disallow: / |
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 | 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 | blocked Disallow: / |
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 | blocked Disallow: / |
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 | blocked Disallow: / |
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 | blocked Disallow: / |
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 | 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 | 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 30.1 / 40
✗
Answer-engine fetchers are blocked, so you cannot be cited
Blocked from citing you: OAI-SearchBot, ChatGPT-User, Claude-User, Claude-SearchBot, Google-CloudVertexBot, PerplexityBot, Perplexity-User, Meta-ExternalFetcher, Meta-WebIndexer, TikTokSpider, Amzn-SearchBot, Amzn-User, cohere-ai, MistralAI-User, 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.xml8 pt
!
Training crawlers are disallowed for this path
Blocked by robots.txt: GPTBot, ClaudeBot, anthropic-ai, Google-Extended, GoogleOther, 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, 4413 bytes, 3 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 20.6 / 25
✗
Heading levels are missing, duplicated, or skipped
0 H1 and 63 headings total.
Why it matters. Chunkers split long pages on heading boundaries and carry the nearest heading into each chunk's metadata. A page with no `h1`, several competing `h1`s, or levels that skip from `h2` to `h4` produces chunks whose topic labels do not match their text, so retrieval matches the wrong passage.
Fix. Give every page one `h1` that names its subject, then nest `h2` and `h3` without skipping levels. Make each heading describe the section beneath it in words a reader would search for, rather than a label like "Overview". Style with CSS instead of choosing heading levels for their font size, and never use a heading tag for a caption or a button.
Fix. Give every page one `h1` that names its subject, then nest `h2` and `h3` without skipping levels. Make each heading describe the section beneath it in words a reader would search for, rather than a label like "Overview". Style with CSS instead of choosing heading levels for their font size, and never use a heading tag for a caption or a button.
<h1>Robots.txt rules for AI crawlers</h1>
<h2>Training crawlers</h2>
<h3>GPTBot</h3>
<h3>ClaudeBot</h3>
<h2>Retrieval and citation fetchers</h2>
<h3>OAI-SearchBot</h3>3 pt
!
Visible text is a small fraction of the HTML payload
Text is 5.1% of the 184 KB document; 15 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
1510 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
An <article> element marks the primary content.
3 pt
✓
Title is unique and describes the page in specific terms
Title is 54 characters: "amNewYork: Top NYC News & Sports | Latest Updates"
3 pt
✓
Meta description provides an author-written summary
Meta description is 126 characters.
2 pt
✓
Document language is declared on the html element
Declared language: en-US.
1 pt
Structure 20 / 20
✓
Page ships JSON-LD structured data
13 JSON-LD node(s): Person, Organization, ImageObject, WebSite, SearchAction, WebPage.
7 pt
✓
Structured data uses a specific type that matches the page
Recognized types: organization, website.
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://www.amny.com/
3 pt
✓
XML sitemap is declared in robots.txt and returns 200
Sitemap found at /sitemap.xml (140 URLs on the first document).
2 pt
✓
Key facts are available in lists or tables
0 tables, 26 lists, 0 code blocks, 0 question headings.
1 pt
Attribution 8.5 / 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 Organization entity identifies the publisher
Organization entity present but no sameAs links to reconcile the entity.
Why it matters. An `Organization` node with `sameAs` links resolves your site to a single entity across knowledge graphs instead of leaving the publisher name as an ambiguous string. That resolution is what lets an assistant attribute an answer to your brand and reuse your name, logo, and contact details.
Fix. Publish one `Organization` node, usually on the home page, with `name`, `url`, `logo`, and `sameAs` pointing at the profiles that already describe you: Wikipedia or Wikidata, Crunchbase, LinkedIn, and your primary social accounts. Give it a stable `@id` such as `https://example.com/#organization` and reference that `@id` from each page's `publisher` property instead of repeating the block. Add `contactPoint` and `address` when they are public, and keep every value identical to what the site shows.
Fix. Publish one `Organization` node, usually on the home page, with `name`, `url`, `logo`, and `sameAs` pointing at the profiles that already describe you: Wikipedia or Wikidata, Crunchbase, LinkedIn, and your primary social accounts. Give it a stable `@id` such as `https://example.com/#organization` and reference that `@id` from each page's `publisher` property instead of repeating the block. Add `contactPoint` and `address` when they are public, and keep every value identical to what the site shows.
{
"@context": "https://schema.org",
"@type": "Organization",
"@id": "https://example.com/#organization",
"name": "Example",
"legalName": "Example Holdings, Inc.",
"url": "https://example.com",
"logo": {
"@type": "ImageObject",
"url": "https://example.com/logo.png",
"width": 512,
"height": 512
},
"sameAs": [
"https://www.wikidata.org/wiki/Q00000000",
"https://www.linkedin.com/company/example",
"https://github.com/example"
],
"contactPoint": {
"@type": "ContactPoint",
"contactType": "customer support",
"email": "support@example.com",
"areaServed": "US",
"availableLanguage": ["en"]
}
}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
✓
Author is declared in structured data
Authorship is declared in structured data or markup.
3 pt
✓
Published and modified dates are declared in ISO 8601
dateModified is published.
3 pt
Evidence raw measurements
robots.txt
- Size
- 4,413 bytes
- Groups
- 3
- Sitemaps
- https://www.amny.com/sitemap.xml
View the file as our crawler received it
User-agent: *
Disallow: /wp-admin/
Allow: /wp-admin/admin-ajax.php
# Blocked AI Scrapers, Crawlers, and Bad Bots
User-agent: A6-Indexer
User-agent: AddSearchBot
User-agent: AhrefsBot
User-agent: AI2Bot
User-agent: AI2Bot-DeepResearchEval
User-agent: Ai2Bot-Dolma
User-agent: aiHitBot
User-agent: AliyunSecBot
User-agent: amazon-kendra
User-agent: Amazonbot
User-agent: AmazonBuyForMe
User-agent: Amzn-SearchBot
User-agent: Amzn-User
User-agent: Andibot
User-agent: Anomura
User-agent: anthropic-ai
User-agent: Applebot-Extended
User-agent: archive.org_bot
User-agent: atlassian-bot
User-agent: AudigentAdBot
User-agent: Awario
User-agent: AwarioRssBot
User-agent: AwarioSmartBot
User-agent: AzureAI-SearchBot
User-agent: bedrockbot
User-agent: bigsur.ai
User-agent: BLEXBot
User-agent: BLP_bbot
User-agent: Brightbot 1.0
User-agent: BuddyBot
User-agent: Bytespider
User-agent: CCBot
User-agent: Channel3Bot
User-agent: ChatGLM-Spider
User-agent: ChatGPT Agent
User-agent: ChatGPT-User
User-agent: claritybot
User-agent: Claude-SearchBot
User-agent: Claude-User
User-agent: Claude-Web
User-agent: ClaudeBot
User-agent: Cloudflare-AutoRAG
User-agent: CloudVertexBot
User-agent: cohere-ai
User-agent: cohere-training-data-crawler
User-agent: Cotoyogi
User-agent: Crawl4AI
User-agent: Crawlspace
User-agent: Datenbank Crawler
User-agent: DataForSeoBot
User-agent: DeepSeekBot
User-agent: Devin
User-agent: Diffbot
User-agent: DuckAssistBot
User-agent: EasouSpider
User-agent: Echobot Bot
User-agent: EchoboxBot
User-agent: ecoResearch
User-agent: FacebookBot
User-agent: Factset_spyderbot
User-agent: FirecrawlAgent
User-agent: FriendlyCrawler
User-agent: Gemini-Deep-Research
User-agent: Genieo
User-agent: Google-CloudVertexBot
User-agent: Google-Extended
User-agent: Google-Firebase
User-agent: Google-NotebookLM
User-agent: GoogleAgent-Mariner
User-agent: GoogleOther
User-agent: GoogleOther-Image
User-agent: GoogleOther-Video
User-agent: GPTBot
User-agent: ia_archiver
User-agent: iAskBot
User-agent: iaskspider
User-agent: iaskspider/2.0
User-agent: IbouBot
User-agent: ICC-Crawler
User-agent: ImagesiftBot
User-agent: imageSpider
User-agent: img2dataset
User-agent: ISSCyberRiskCrawler
User-agent: Jetslide
User-agent: kagi-fetcher
User-agent: Kangaroo Bot
User-agent: KlaviyoAIBot
User-agent: KunatoCrawler
User-agent: laion-huggingface-processor
User-agent: LAIONDownloader
User-agent: LCC
User-agent: LinerBot
User-agent: Linguee Bot
User-agent: LinkupBot
User-agent: magpie-crawler
User-agent: Manus-User
User-agent: Meltwater
User-agent: meta-externalagent
User-agent: Meta-ExternalAgent
User-agent: meta-externalfetcher
User-agent: Meta-ExternalFetcher
User-agent: meta-webindexer
User-agent: MistralAI-User
User-agent: MistralAI-User/1.0
User-agent: MJ12bot
User-agent: MyCentralAIScraperBot
User-agent: netEstate Imprint Crawler
User-agent: news-please
User-agent: NewsNow
User-agent: NotebookLM
User-agent: NovaAct
User-agent: OAI-SearchBot
User-agent: omgili
User-agent: omgilibot
User-agent: OpenAI
User-agent: Operator
User-agent: PanguBot
User-agent: Panscient
User-agent: panscient.com
User-agent: peer39_crawler
User-agent: peer39_crawler/1.0
User-agent: Perplexity-ai
User-agent: Perplexity-User
User-agent: PerplexityBot
User-agent: PetalBot
User-agent: PhindBot
User-agent: PiplBot
User-agent: Poggio-Citations
User-agent: Poseidon Research Crawler
User-agent: psbot
User-agent: QualifiedBot
User-agent: QuillBot
User-agent: quillbot.com
User-agent: Quora-Bot
User-agent: R6_CommentReader
User-agent: SBIntuitionsBot
User-agent: Scrapy
User-agent: Seekr
User-agent: SeekrBot
User-agent: SemrushBot-OCOB
User-agent: SemrushBot-SWA
User-agent: SeznamHomepageCrawler
User-agent: ShapBot
User-agent: Sidetrade indexer bot
User-agent: Spider
User-agent: Spinn3r
User-agent: TaraGroup Intelligent Bot
User-agent: TavilyBot
User-agent: TerraCotta
User-agent: Thinkbot
User-agent: TikTokSpider
User-agent: Timpibot
User-agent: TurnitinBot
User-agent: TwinAgent
User-agent: VelenPublicWebCrawler
User-agent: ViennaTinyBot
User-agent: WARDBot
User-agent: WebVac
User-agent: Webzio-Extended
User-agent: webzio-extended
User-agent: WebZip
User-agent: wpbot
User-agent: WRTNBot
User-agent: YaK
User-agent: YandexAdditional
User-agent: YandexAdditionalBot
User-agent: YouBot
User-agent: ZanistaBot
Disallow: /
# Termly scanner
User-agent: TermlyBot
Allow: /
Sitemap: https://www.amny.com/sitemap.xml
Machine-readable extras
- llms.txt
- absent
- ai.txt
- absent
- Sitemap
- /sitemap.xml (140 URLs)
- Feeds
- https://www.amny.com/feed/json/
https://www.amny.com/home-2/feed/json/ - Schema types
- Person, Organization, ImageObject, WebSite, SearchAction, WebPage
- Edge
- not identified
- Final URL
- https://www.amny.com/
- HTML size
- 184 KB, 1,510 words of text
Compare it with a competitor head to head
Put amny.com 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.
Already measured: vs bluecoat.com · vs thinkupthemes.com · vs oreillynet.com
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/amny.com"><img src="https://crawlcensus.com/badge/amny.com.svg" alt="AI access score for amny.com" 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.