Should You Block AI Crawlers? A Decision Guide
Block or welcome AI is one trade-off: blocking buys control but forfeits citations. Decide per-crawler: block training, price retrieval, welcome citation.
Blocking trades citations for control
Whether to block or welcome AI comes down to a single trade-off — blocking gives you control over training and refuses no-referral crawlers, but it forfeits the citations and agent referrals that search and retrieval crawlers send back, so the right answer depends on which crawler and which content. This page steelmans both sides honestly before reaching a recommendation; the deep per-bot block/allow data lives in the registry.
The case for blocking AI is real
The case for blocking is genuine, not a strawman. Training crawlers can ingest content with no referral and no payment, so for some publishers refusing them is the rational default: blocking protects proprietary or paywalled content, refuses uncompensated training, and is the one lever a publisher fully controls without depending on an operator's goodwill. For a premium archive or a licensable dataset, block-until-paid is a coherent commercial position — and pay-per-crawl and RSL exist precisely to turn that stance into revenue rather than a flat refusal. If your content is your product and AI use cannibalises it without compensation, blocking the uncompensated crawler is defensible.
The case for welcoming AI is the zero-click reality
The case for welcoming rests on what retrieval crawlers return. Search and retrieval crawlers cite and refer — blocking them removes a site from AI answers entirely, and in a zero-click world the AI answer may be the only surface a user ever sees. Welcoming those crawlers, and structuring content so they can parse it, captures that citation surface instead of conceding it to competitors who stayed open. An agent that can transact is a buyer, not a cost: refusing it by reflex can mean refusing a customer. This is the site's stance — welcome — but it is offered as a position, not as the only rational choice.
A neutral decision: block training, price retrieval, welcome citation
The defensible synthesis is per-crawler and per-content, not all-or-nothing: block uncompensated training, price high-value retrieval with pay-per-crawl or RSL, and welcome the citation crawlers that put your content in front of users. Sort each crawler by what it returns — a no-referral training crawler, a payable retrieval crawler, or a citing search crawler — and apply the matching directive. The decision is the publisher's and turns on content type, referral value, and licensing leverage; this site chooses welcome and proves it by configuration.
- Training crawler, no referral, no pay → block, or price it via licensing.
- High-value retrieval crawler → price it (pay-per-crawl / RSL) rather than block outright.
- Citation / search crawler that refers users → welcome it.
Related: each crawler's opt-out mechanism and block-vs-allow rationale · decline training with operator opt-out tokens like Google-Extended · price access via the pay-per-crawl mechanism · license it with RSL content licensing · adoption of each standard measured over time · back to AI access economics · audit how your site treats agents.