GEO-006·Issue 01·Technical Foundation·6 / 132

The AI Crawler Map: GPTBot, ClaudeBot, PerplexityBot, and Google-Extended

Training crawlers and retrieval crawlers want different things from your store. Map GPTBot, OAI-SearchBot, PerplexityBot, and Google-Extended page by page.

5 min readGEOTechnical Foundationcross-border

Issue focusThe Entry Point Shift: How AI Search Rewires Global E-commerce Traffic

Friday afternoon, a US-facing DTC seller of cat litter boxes sees a colleague paste a Perplexity answer into Slack: four brands for a two-cat household, none of them theirs. The product pages did not change. On Tuesday, robots.txt did — rewritten after a scraping spike to User-agent: * with Disallow: /, plus one exception for Googlebot. Google rankings held; the AI answer moved on within a week.

A training crawler takes a copy once while a retrieval crawler arrives for a real question every time — and what robots.txt allows decides whether you appear in the answer, not just the index.

Two kinds of visitor, one user-agent string

One crawler harvests pages into a training corpus and is finished with you. Another fetches sources at question time, and each fetch is a citation opportunity. The economics point opposite ways, yet one Disallow hits both.

User agentRoleCost of blocking
GPTBot (OpenAI)Training corpusTraining gap; ChatGPT retrieval is separate
OAI-SearchBot (OpenAI)Index for search answersFewer ChatGPT citations
ChatGPT-User (OpenAI)Fetches a page on requestPasted links return nothing
ClaudeBot (Anthropic)Training corpusAbsent from training
PerplexityBot (Perplexity)Indexes answer sourcesNo Perplexity citations
Googlebot (Google)Search indexing and rankingYou leave Google Search
Google-Extended (Google)Gemini training and groundingSearch fine; Gemini cannot use you

Google-Extended is the most misread row: it controls use, not crawling. Block it and pages stay in Search, but Gemini stops training on and grounding answers in them. The roster keeps moving; as of January 2026, cite each operator’s documentation, not a borrowed list.

robots.txt is a preference file, not access control

RFC 9309 defines syntax, not enforcement: compliance is voluntary, which makes robots.txt a statement of intent and a poor firewall.

Matching is per group, and groups do not merge: the most specific group wins, and * adds nothing. So “disallow everything, then allow Googlebot” leaves every unnamed AI crawler fully blocked — the retrieval agents in the opening scene. Rules bind only future fetches.

IntentCan robots.txt deliver itUse instead
Recall content already collectedNoNothing; only future fetches
Keep fast crawling from slowing the originNoRate limits, caching, a CDN
Remove a page from AI answersNot reliablyRemove or gate it

Access is not comprehension: specs rendered only in JavaScript or inside images still return an empty answer — see whether AI can render your store.

Allow along two axes: who crawls, and what they reach

A blanket ban takes retrieval crawlers down with the scrapers; a blanket allow lets faceted URLs and stock endpoints get polled until the origin slows.

Page typeTraining crawlerRetrieval crawler
Product, category, comparison, editorialPer brand policyAllow
Internal search and filter URLsDenyDeny
Price and stock endpointsDenyDeny; serve a feed
Account, cart, adminDenyDeny
Spec sheets and size chartsAllowAllow, if parseable

Blocking product and editorial pages is self-inflicted invisibility; query-string URLs are unbounded crawl space; anything behind a login has no citation value.

A five-step playbook that fits one sprint

StepActionOwnerPasses when
1 InventoryExport 90 days of bot requests from CDN logs; aggregate by agent, path, statusEngineeringTop ten agents and paths
2 ClassifyRead operator docs; label training, retrieval, other; pick allow, throttle, denyGrowth and engineeringA written reason per agent
3 Write rulesApply the two-axis table without letting * catch product pagesEngineeringNo collateral damage
4 Verify identityForward-confirmed reverse DNS plus published IP rangesEngineering20 log lines match
5 MeasureRe-run the prompt set; check where 403s landGrowthAn explainable before-and-after

Step 2 is the one teams skip. Copied blocklists were written for other catalogs in other markets; your logs are the only evidence of who arrived and what the origin can carry.

Step 4 matters: anyone can put GPTBot in a user-agent string, but the source IP is harder to fake. Reverse-resolve the address, forward-resolve it back to the same hostname, and compare it with the operator’s published range file. If both checks fail, throttle or deny the request.

Example: rewriting a robots.txt in four groups

Example — a hypothetical cross-border pet-supply store with a few hundred SKU pages, filter URLs, and a live stock endpoint; no real brand, no figures. Its robots.txt read Disallow: / under *, then a Googlebot group allowing everything.

The rewrite has four groups. Retrieval agents are allowed on product, category, and review pages. Training agents may read public content but not the spec-sheet directory. Every crawler is denied /search, /filter, /cart, and /api/. The stock endpoint becomes signed, time-limited partner links, with anonymous bursts throttled at the WAF.

Acceptance is not orders: retrieval requests to product pages recover, 403s land only on intended paths, and the same prompt set cites your domain.

Where this breaks

First, categories that convert inside marketplaces. On Amazon or Shopee, AI reads listings, reviews, and fulfillment metrics; robots.txt is nearly irrelevant. Fix the feed first.

Second, a brand that refuses training. Licensed material can justify blocking training crawlers, but accept absence in assistants built on trained weights, and record the policy.

Third, active scraping damage or no log access. Slow origins need WAF rules, rate limits, and caching before robots.txt matters. Without logs, skip elaborate rules: confirm nothing important is blocked, then curl core pages with each operator’s user agent.

Fourth, permission is not citation. Crawl access decides entry only; answer units, entities, and third-party evidence are separate work. The four AI search entry points explain why this layer comes first; an AI visibility baseline shows whether it worked, and the technical foundation hub collects the rest of this line.

This month, do one thing: export 30 days of requests with “bot” in the user agent, rank the top five by volume, read their operators’ documentation, then decide allow, throttle, or deny — and leave the reason beside the rule.