// guide
How do you get cited by Claude?

Written by: Dmitry Filippov, Founder, GET-GEO.AI
Published: 2026-08-10 · Updated: 2026-09-22
// short answer
Claude can mention your brand two ways, and only one is measurable: live web retrieval via Claude-SearchBot and Claude-User. Training-data mentions are opaque. To win citations, allow Claude-SearchBot and Claude-User in robots.txt (ClaudeBot only feeds training), ship extractable answer-first pages, and earn corroboration on sources Claude already trusts — then verify with a fixed question set.
- Getting cited by Claude means allowing the right two of Anthropic's three bots: Claude-SearchBot and Claude-User carry citations, while ClaudeBot only feeds training.
- All three Anthropic bots respect robots.txt, so a blanket Disallow written to opt out of training also removes every citation; Perplexity's user fetcher, by contrast, ignores it.
- Claude's web search is strongly evidenced to run on Brave: Brave was added as a subprocessor in March 2025 and the tool definition contains BraveSearchParams.
- In Otterly's June 2026 study of 379,321 citations, 64% went to brand and company websites, 0.9% to social media and none to Reddit; 500 domains took 59.9%.
- In health queries, 97.8% of citations went to established institutions and ten organizations supplied 57.8% (Jacques et al., 10,038 citations, arXiv 2026).
Three Anthropic crawlers, three switches
Claude’s choice of sources differs from other assistants. In a study of 379,321 citations across 16,406 domains for SaaS and technology questions, 64% pointed to brand and company websites, 0.9% to social media and none to Reddit. That makes a company’s own pages particularly relevant in this dataset. Before improving those pages, check whether Claude can reach them.
Anthropic runs three separate bots, each with its own user-agent and purpose. Website owners can set a different access policy for each.
ClaudeBot — collects web content to improve generative AI models (training). Cost of blocking: future content signalled for exclusion from training datasets.
Claude-SearchBot — indexes content to improve search result quality. Cost of blocking: not indexed for search — “may reduce your site’s visibility.”
Claude-User — fetches pages when a Claude user’s question requires it. Cost of blocking: can’t be fetched on a user’s request.
All three respect robots.txt. Anthropic states its bots follow standard robots.txt directives, and they also honor the non-standard Crawl-delay. That’s a real difference from Perplexity, whose user-initiated fetcher generally ignores robots.txt. With Claude, a disallow means what it says — for all three bots.
Which is what makes the useful move possible: blocking training is not the same as disappearing from Claude. If your objection is to model training rather than to visibility, disallow ClaudeBot and keep the other two open. Citations flow through search and user-initiated fetches, not through the training corpus.
User-agent: ClaudeBot
Disallow: /
User-agent: Claude-SearchBot
Allow: /
User-agent: Claude-User
Allow: /In audits we see the opposite far more often: a blanket Disallow written to opt out of training, quietly costing every citation along with it.
To verify a crawler claiming to be Anthropic’s, check its IP against the list at claude.com/crawling/bots.json. The list covers crawler addresses together, rather than separating them by bot. Once the IP is verified, read the user-agent to identify the bot.
How does Claude web search work?
Claude-SearchBot indexes your pages for a search index. Which index is the more interesting question.
When a question needs current information, Claude runs a search and processes the results. Per Anthropic’s documentation, “every response includes citations, so you can easily verify sources yourself.” But the product documentation never names a web-search provider. What is on record: Brave Search was added to Anthropic’s public subprocessor list in March 2025; the definition of Claude’s web_search tool contains a parameter named BraveSearchParams; and in a documented test, the ten citations Claude returned matched a Brave search for the same terms exactly. Anthropic’s help center separately notes that image results are “powered by Bing.”
The instruction is the same either way: search Brave for the queries you want to win and see whether you appear. It takes a minute, costs nothing, and it’s a closer proxy for Claude’s retrieval than your Google rankings.
What’s confirmed, what’s research, what’s guesswork
Before acting on advice about Claude, distinguish official documentation, research findings and unverified claims.
Both datasets show the same second-order pattern, and it matters more than any single tactic: Claude’s citations concentrate. Five hundred domains out of 16,406 take 59.9% of citations in SaaS and tech. Ten organizations take 57.8% in health. Claude isn’t spreading citations across the long tail — it returns to the sources it treats as reference-grade. Joining that set is a question of what your pages are, not how they’re formatted, and that is the actual game.
Publish useful reference material
Start with the answer, keep each paragraph focused, use tables for comparisons and attribute specific claims to their sources. For Claude, the available citation data particularly favors material that works as a reference.
In the SaaS and tech dataset, 64% of citations landed on company-owned domains. Your product docs, technical specifications, methodology pages and comparison tables are therefore your strongest citation assets — and they usually read like sales copy when they should read like documentation. Concretely:
- Publish the specifications, not the adjectives. Numbers, limits, supported versions, what your product doesn’t do. Claims a model can quote without adding a caveat of its own.
- Show your method. If you have data, say how you gathered it — sample size, collection window, what you excluded. The institutions dominating the health study earn citations on procedural authority, not promotional language.
- State the limitations. Clear qualifications give the model a claim it can quote accurately without having to supply the missing context.
- Date everything and keep it true. Changelogs with dates, API limits as tables, “last reviewed” stamps. A page cited once for being accurate stays cited only while it stays accurate.
| Claim | Status | Source |
|---|---|---|
| Three bots with distinct roles: ClaudeBot (training), Claude-SearchBot (search index), Claude-User (user-initiated fetch) | Official | Anthropic crawler docs |
| All three follow robots.txt; blocking each has documented, different consequences | Official | Anthropic crawler docs |
| Anthropic publishes crawler IPs for verification | Official | claude.com/crawling/bots.json |
| Every web-search answer carries citations to the sources used | Official | Claude help center |
| Claude’s web search runs on Brave | Strongly evidenced, not stated in product docs | Subprocessor listing (March 2025) + BraveSearchParams + matching result set |
| 64% of citations go to brand/company domains, 0.9% to social media, zero to Reddit; the top 500 domains take 59.9% | Research | Otterly, 379,321 citations across 16,406 domains, June 2026 — SaaS/tech queries |
| In health queries, 97.8% of citations went to established institutions; ten organizations supplied 57.8%, Mayo Clinic alone 24.7% | Research | Jacques et al., 10,038 citations from 3,075 questions, arXiv 2026 |
| “Post on Reddit to get picked up by Claude” | Guesswork — contradicted | Zero Reddit citations in the Otterly dataset |
| Leaked “ranking parameters,” weighted factor lists, scoring thresholds | Guesswork | No such data exists publicly for Claude |
Related questions
Should you block ClaudeBot?
Only if your objection is to model training. Blocking ClaudeBot signals that your future content should be excluded from Anthropic’s training datasets — search indexing and user-initiated fetches run through separate bots you can leave open. Blocking all three is the choice that costs you citations.
Does ranking in Brave Search matter?
Probably, on the available evidence — and unusually for this field, it’s cheap to check. Run your ten target queries through Brave and log which ones return your pages on the first screen; that list is a realistic picture of what Claude can retrieve about you today. Treat it as a strong proxy rather than a documented mechanism.
Do you need to be in Claude’s training data?
No. Training shapes what the model knows about your brand between releases; citations come from live retrieval. If you want to be cited, work the search path — it’s faster, checkable, and doesn’t depend on a training cutoff.
How is this different from ChatGPT and Perplexity?
Different crawlers, different indexes, different rules. Getting cited by ChatGPT runs through OpenAI’s own search crawler and index. Perplexity’s citation path retrieves live, skews heavily toward recent pages, and its user-fetcher generally ignores robots.txt. Claude respects robots.txt across all three bots, leans on a third-party index, and — in the data we have — sends most of its citations to brand-owned pages. One robots.txt policy and one content strategy will not serve all three well.
Related guides
Sources
- 01Anthropic — Does Anthropic crawl data from the web, and how can site owners block the crawler? (ClaudeBot, Claude-User, Claude-SearchBot)
- 02Anthropic — Enabling and using web search
- 03Anthropic — Crawler IP list
- 04Simon Willison — Anthropic Trust Center: Brave Search added as a subprocessor (March 2025)
- 05Otterly — Claude AI citation study, 379,321 citations (June 2026)
- 06Jacques et al. — Authority Signals in Claude AI Health Citations, arXiv (2026)
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“How do you get cited by Claude?” — GET-GEO.AI, 2026-09-22. https://get-geo.ai/en/guides/get-cited-by-claude