LLM Web Crawlers for AI Search

LLM Web Crawlers for AI Search

Learn what LLM crawlers and AI bots are indexing from your site and how they perform, the content they prioritize, their feature sets, and what they filter out.

If you’re a marketer, you want to know how LLMs work so you can make sure your products and brands are best represented when prospects go to ChatGPT, Perplexity, and other LLMs to research your company.

Below is a fairly complete list of the major LLM crawler bots as of right now (in 2025), and how they work and stack up as far as uses, features, and what set them apart from each other.

LLM or CompanyCrawler Bot NameUses
AmazonAmazonbot / Bedrock CrawlerUsed for Alexa & Amazon Bedrock
AnthropicClaudeBotCrawls for safe, high-quality AI training data
AppleApplebot (and Applebot‑Extended)Crawls public content; controls AI training use
CohereCohere-AIWeb crawler gathering public data for NLP model training
Common CrawlCCBotBuilds open datasets for LLM training
GoogleGoogle-Extended crawlerFilters content for Gemini AI training (not search)
HuaweiPanguBotAI-training crawler for Huawei’s Pangu LLMs
Hugging FaceHF Crawler (via datasets)Aggregates external open data sources
LAIONlaion-crawler / img2datasetCollects public multimodal data for models
MetaFacebookBotScrapes metadata for link previews and model training
MozillaDeepSpeech corpus projectsAcademic speech corpora partially derived from web
OpenAIGPTBotCollects public web data for model training
OpenAIChatGPT-UserFetches web pages on user request via browsing tools
PerplexityPerplexityBotScrapes web for AI answers and real-time retrieval
SnowflakeNeevabotPreviously for AI-enhanced search
You.comYouBot / YouSearchBotPowers You.com’s AI-assisted search

Here’s what’s happening: The llm bots are using crawlers to collect public content to train their models, along with generating those real-time AI responses you see, and in training assistant tools (examples: Alexa or Siri). The big players use proprietary bots, and the small players (like Common Crawl and LAION) have open datasets.

Some of the usual suspects (think OpenAI, Anthropic, etc.) are always crawling the web for high-quality, frequently updated public content. Why? Simply, It’s good data for them to train their AI models.

Some groups (like Common Crawl, LAION, and Mozilla) are open source and contribute to the broader ecosystem, however the majority operate proprietary systems, often caching results and ignoring JavaScript to access more static content.

Google’s and OpenAI’s user-facing tools are exceptions: they don’t crawl autonomously but rely on external inputs or opt-in content for training and retrieval.

LLM or CompanyWhat it prioritizesOpen SourceCrawls websitesCaches Previous SearchesIgnores JavaScript
AmazonPublic content for voice & AI responsesNoYesYesYes
AnthropicHigh-value content, frequent updatesNoYesYesYes
AppleClean, structured, licensed public pagesNoYesLikely YesNo
CoherePublic, high-quality text; training‑friendly contentNoYesYesYes
Common CrawlLarge-scale public web archiveYesYesYesYes
GooglePublic pages allowed for AI trainingNoNoYesNo
HuaweiMultimedia‑rich, frequently updated, high‑density public contentNoYesYesYes
Hugging FaceCurated public datasetsMostly YesPartially (via APIs)YesVaries
LAIONImages + associated high-quality textYesYesYesYes
MetaPublic web pages shared on FacebookNoYesYesYes
MozillaPublic spoken/editable text for speech modelsYesPartiallyYesLikely Yes
OpenAIHigh-quality, publicly available, licensed contentNoYesYesYes
OpenAIUser-requested, relevant, accessible, factual contentNoNoNoYes
PerplexityUp-to-date Q&A, factsNoYesLikely YesYes
SnowflakePublic, licensed search contentNoYesProbably YesYes
You.comReal-time relevant search contentNoYesProbably YesYes

What LLM crawlers filter out

Most LLM bots respect robots.txt directives to some extent, using them as the primary filter to avoid crawling restricted content. Many go further by excluding private, paywalled, login-required, or harmful content (with Apple, Anthropic, and OpenAI applying particularly strict filters to protect personal data and avoid unsafe material).

LLM or CompanyWhat it filters outAlways respects robot.txt
AmazonRespect robots.txt rules onlyYes
AnthropicHarmful, illegal, explicit, violent, unsafe contentYes
AppleProfane, low-quality, personal data, private login pagesYes
CohereDisallowed via robots.txt or server rulesNo
Common CrawlFollowing robots.txt, avoids disallowed content OpenReplay BlogYes
GoogleContent disallowed via Google‑Extended in robots.txtYes
HuaweiPrivate, pay‑walled, restricted or disallowed contentYes
Hugging FaceVaries by datasetDepends on source
LAIONDisallowed content via robots.txtYes
MetaPrivate, login‑only, disallowed via robots.txtNo
MozillaPrivate or restricted speech dataYes
OpenAIPaywalled content, personally identifying informationYes
OpenAIBlocked, paywalled, private, non-permitted, login-required contentYes
PerplexityN/A (Some reports say ignores robots.txt) OpenReplay BlogNo
SnowflakeStandard disallow via robots.txtYes
You.comDisallowed via robots.txtLikely Yes

LLM crawler transparency

Transparency among LLM bots varies widely, with lots of major players operating openly about their data practices and crawler behavior. You’ve got some LLM bots that are all about safety. You’ve got others that just aren’t transparent about what their doing to gather data, and even if they are, they aren’t transparent about what they’re doing with it after they gather it.

LLM or CompanyOperates transparentlyDefining Feature
AmazonYesEnterprise voice crawler for Alexa & Bedrock
AnthropicYesSafety-focused, Constitutional AI, alignment-first, limited web access
ApplePartialSearch & Siri crawler with AI‐training opt‑out via robots.txt
CohereNoEnterprise-focused, text-data crawler, minimal opt‑in transparency
Common CrawlYesOpen archival crawler trusted for open-source dataset building
GoogleYesBlocking Google-Extended has no effect on your visibility in Google Search
HuaweiNoAI‑training crawler, multimodal LLM data collection, periodic recrawling
Hugging FaceYesCentral dataset hub building community-curated model data
LAIONYesOpen large-scale image-text collection for open LLMs
MetaNoLink preview carbon-copy crawler for speech‑model training
MozillaYesSpeech-focused dataset projects with open academic release
OpenAIYesVersatile, widely deployed, Reinforcement Learning
OpenAIYesReal-time user browsing, no autonomous crawling behavior
PerplexityNoAggressive real-time scraping for AI answer generation
SnowflakeLikely YesPrivacy-first search-to-AI enhanced index
You.comYesOn-demand search-fetch crawler for AI assistant

LLM visibility is as critical as SEO

Now that you’ve seen a little bit of the behavior and priorities of LLM Bots and AI crawlers, you probably have a better idea what’s happening around how they access content and the impact it could have on your business. You probably already sense that optimizing for LLM visibility is as critical as traditional SEO. Now you’ve got a better idea how you might optimize your site for AI-driven search, given how LLM Bots access content. If you need a little help, check out our next steps.

How to make your content visible to LLM crawler bots