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The three surfaces, side by side#
Three of the major AI search experiences use live browsing in addition to (or instead of) their training corpora. They differ on three dimensions that matter: which index they pull from, how fast they re-crawl, and what they prioritize when picking a citation. Here’s the picture in one table.
| Surface | Index source | Median citation latency | Strongest extraction signal | Robots directive |
|---|---|---|---|---|
| ChatGPT Search | OAI-SearchBot + Bing | 3–5 days | Structured data (FAQPage, Article) | User-agent: OAI-SearchBot |
| Perplexity | PerplexityBot (proprietary) | 1–6 hours | Freshness (datePublished, dateModified) | User-agent: PerplexityBot |
| Claude (web) | Brave Search | 2–3 weeks | Topical depth and authority | User-agent: Bravebot |
ChatGPT Search#
ChatGPT’s in-product search has the largest reach. It crawls the open web via OAI-SearchBot, falls back to Bing’s index for queries its own crawler hasn’t yet seen, and surfaces citations inline beneath answers. Citation latency from a fresh publish is typically 3–5 days; a sitemap ping to Bing Webmaster Tools cuts the lower end of that.
To be cited well: write declarative, definition-led leads under your h2s, add FAQPage schema, and emit dateModified whenever you update. ChatGPT’s extraction is the most schema-sensitive of the three — a well-marked-up 900-word piece will outrank an unmarked 2,500-word piece in citation eligibility.
# robots.txt
User-agent: OAI-SearchBot
Allow: /
User-agent: Bingbot
Allow: /Perplexity#
Perplexity is the fastest. PerplexityBot re-crawls actively, often issuing fresh hits within an hour of a sitemap ping. The trade-off: its index is the smallest of the three, so less commonly-trafficked queries may return thinner results.
To be cited well by Perplexity: prioritize freshness signals (datePublished, dateModified in your Article schema, and an explicit “Updated DATE” line in the article header). Perplexity’s extraction weights recency more than the other two — a recently-updated 2024 article will often outrank a static 2026 article on the same topic.
# robots.txt
User-agent: PerplexityBot
Allow: /Claude with web#
Claude’s browsing is conservative by design. When it issues a web query it goes to Brave Search, fetches the top results, and reads them carefully before citing. This produces the highest editorial-confidence citations of the three but also the slowest discovery — plan for 2–3 weeks from publish to first Claude citation.
To be cited well: build cluster authority on the topic. Claude’s selection logic disproportionately rewards sites with multiple adjacent pieces on a subject. A single great article on a topic is less likely to win a Claude citation than four good articles forming a coherent cluster.
# robots.txt
User-agent: Bravebot
Allow: /If you can only optimize for one#
Optimize for ChatGPT. Its index is the largest, its citation surface is the most visible (the buyer literally sees the source link beneath the answer), and the schema work it requires — Article + FAQPage + BreadcrumbList — is the same work that improves your Google rich-results eligibility. You get the benefit twice.
The most efficient sequence we’ve seen: (1) do the schema work once, (2) verify all three crawlers are allowed, (3) submit your sitemap to Bing and to Perplexity’s discovery endpoint, (4) wait two weeks, (5) measure with a prompt monitor and iterate.
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Related questions worth a look
- Does Perplexity have its own crawler?
- Can I submit my site to ChatGPT Search?
- How does Claude find sources when it browses the web?
- Should I block AI crawlers from my site?