Get My Company Cited By Claude

• Claude leaves brands out mostly because its answers are assembled from pages it can reach and parse at the passage level.
• Anthropic has never publicly named its search provider.
• Crawler access is the only step here with a clear, testable requirement.
• Schema and static HTML are the most consistently recommended signals.
• Most teams assume their own site is the main citation source.

Claude leaves brands out mostly because its answers are assembled from pages it can reach and parse at the passage level. According to ezy.ai, Claude evaluates content passage by passage rather than at the domain level. It favours pages that answer the question in the first sentence of a section. Strong general authority alone is not enough. A brand without a direct, quotable passage for a specific question gives Claude nothing to lift. Specifically, the gap is often structural rather than reputational. Teams can check this by reviewing whether each key question has a standalone answer in its opening sentence.

• Pages are assembled from content Claude can reach and parse
• Evaluation happens per passage, not per domain
• Sections that answer in the first sentence are favoured
• Missing quotable passages leave Claude with nothing to cite

Anthropic has never publicly named its search provider. However, independent testing points to Brave Search rather than Google as the key retrieval source for Claude. According to Erlin, there is an 86.7% citation overlap between Claude's responses and Brave Search top results, per Profound research.

This should be treated as a measured correlation, not a confirmed architecture. For example, Brave index presence is a retrieval-layer variable. Specifically, it deserves checking alongside Google rankings. Teams should not assume that strong Google visibility guarantees Claude retrieval.

Crawler access is the only step here with a clear, testable requirement. According to Erlin, Claude-SearchBot and Claude-User must be allowed in robots.txt for citation eligibility. Teams should check that their robots.txt file does not disallow these user agents.

Server logs are still needed to confirm whether Claude-SearchBot and Claude-User actually arrive. Training-data presence is a separate layer. Anthropic states that Claude's training data includes publicly available web content gathered by a general-purpose crawler. The two layers therefore need different checks.

Schema and static HTML are the most consistently recommended signals. According to Erlin, teams should add Article schema with an author, FAQPage schema, and Organization schema. Delivering these as static HTML means crawlers do not depend on rendering.

However, these recommendations are reasoned expectations supported by vendor guidance. They are not controlled measurements of Claude behaviour. Specifically, schema makes a page machine-readable. It does not by itself make a claim true or citable.

Most teams assume their own site is the main citation source. However, according to Erlin, 68% of all AI citations across platforms come from third-party sources rather than brand-owned websites.

Directories, earned media, and reference entries therefore carry weight that a site rebuild cannot replace. Wikipedia and industry directories are common corroboration points. Specifically, the effect of any single listing on Claude is not independently measured.

Direct answers placed first in a section, question-style headings, and dense, specific facts earn the most extractable passages. Claude's default chat mode leans on its training corpus, with web search invoked situationally, according to Stridec, so freshness matters for live retrieval but may not drive default answers. Brainz Digital places Claude's knowledge cutoff around July to August 2025 depending on model version, which means recent pages may only surface through retrieval.

Use this layer map to decide which fixes address which mechanism.

Measure with tracked prompts and referral logs rather than impressions. According to Erlin, only 16% of brands systematically track AI search performance across Claude, Perplexity, and ChatGPT. Therefore, a consistent baseline alone is a competitive edge.

In a 501-site analysis by Rankeo, Perplexity accounts for 47% of tracked AI citations. Claude cites more selectively, so teams should expect fewer Claude citations per prompt. Record crawler hits and answer referrals per platform. Then compare trends over time.