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Decide what you want to allow before choosing a service
“AI crawler” is not one policy category. Cloudflare distinguishes three behaviors: Search crawlers collect or index content to answer questions later; Agent activity retrieves or acts on information in real time on a person’s behalf; Training crawlers collect material to train or fine-tune a model. A crawler may have more than one behavior, so a blanket block can affect uses you intend to keep.
Write down the site’s policy by behavior and, where needed, by content path. Decide whether ordinary search indexing, AI search access, user-directed retrieval agents, model-training collection, monitoring, and other known legitimate bots should be allowed, limited, or denied. Cloudflare’s bot documentation explains its behavior-based taxonomy. Its AI policy documentation says mixed-purpose Search/Training crawlers are included in settings that block AI training.
Compare services on the controls you will actually use
| Decision factor | What to verify | Documented examples |
|---|---|---|
| Behavior classification | Can you distinguish search, training, and real-time agent activity? Can mixed-purpose crawlers receive a deliberate policy? | Cloudflare documents Search, Agent, and Training categories and mixed-purpose handling. AWS documents bot categories and recommends custom rules to allow selected verified search bots while blocking or rate-limiting others. |
| Identity and detection | Does the product rely on a declared user agent, or also verify identity and detect bots that do not self-identify? | Cloudflare says free-plan AI Crawl Control uses user-agent strings for well-known self-identifying crawlers; upgraded detection uses Bot Management detection IDs. AWS Common protection labels self-identifying bots and verifies generally desirable bots; Targeted protection adds techniques for sophisticated non-self-identifying bots. |
| Enforcement | Can you allow, block, rate-limit, challenge, or return a custom response? Can rules be scoped to paths? | Cloudflare documents per-crawler allow/block controls enforced through WAF custom rules, path-specific extensions, and paid-plan custom 403 or 402 responses. AWS WAF Bot Control documents monitoring, blocking, and rate limiting; targeted protection can use challenges. |
| Diagnostics | Can you review crawler identity, trends, policy violations, labels, and logs before enforcing a decision? | Cloudflare reports crawler/operator names, categories, allowed and unsuccessful request totals, trends, and robots.txt violations. AWS exposes bot labels in metrics and logs and recommends count mode before blocking. |
| Deployment fit | Where does inspection occur? How does the service identify client IPs through your CDN or proxy, and could existing WAF rules conflict? | AWS documents automatic originating-IP handling for CloudFront, Cloudflare, and Fastly in the Bot Control rule group. Other proxy arrangements may need forwarded-IP configuration. |
| Cost and availability | Check plan eligibility, per-request or inspection fees, current feature availability, and operational overhead against your traffic and rule needs. | AWS says Bot Control incurs additional fees, with targeted protection having higher per-request cost than common protection. Cloudflare documents plan-dependent detection and paid-plan custom responses; its page describes pay-per-crawl as closed/private beta. |
These are documented capabilities, not a side-by-side detection benchmark. Product plans, pricing, availability, taxonomy, and configuration details can change; confirm them for your account and deployment before purchase.
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How Cloudflare AI Crawl Control and Bot Management fit
Cloudflare is a natural candidate when the site already uses its edge and WAF controls. AI Crawl Control provides crawler reporting and per-crawler allow/block controls. Its reporting includes crawler and operator name, category, allowed and unsuccessful request totals, trends, and robots.txt violations. A block creates or updates a WAF custom rule, which can be extended with path-specific exceptions or additional user agents.
Detection depth depends on plan: the free plan identifies well-known self-identifying crawlers using user-agent strings, while an upgraded plan enables more thorough detection using Bot Management detection IDs. Treat a user-agent match as weaker evidence than a verified identity or richer detection, because a string alone does not establish who operates a request.
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Cloudflare documents custom block responses on paid plans: HTTP 403 Forbidden can indicate access is not wanted, and HTTP 402 Payment Required can indicate payment is required. Pay-per-crawl is described as closed/private beta on the cited documentation, not as a generally available feature. Check the current product page and your zone’s entitlements before relying on either capability.
Cloudflare’s verified-bot definition requires deterministic identification—such as Web Bot Auth, a published IP list paired with a stable user agent, or reverse DNS—and non-abusive behavior. The vendor lists policy breaches that include a disclosed service purpose that does not match traffic or an AI crawler that fails to respect crawl-delay. The AI Search category value remains for backward compatibility; Cloudflare says new search crawlers are classified as Search under the taxonomy introduced July 1, 2026.
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Cloudflare also states that new defaults scheduled from September 15, 2026 block Training and Agent bots on pages that display ads on new domains while leaving Search allowed. This is a dated, scoped vendor policy statement, not a recommendation for every site. Review the current zone settings and the behavior of mixed-purpose crawlers before adopting defaults.
How AWS WAF Bot Control fits
AWS WAF Bot Control is a managed rule group for monitoring, blocking, or rate-limiting bots such as scrapers, scanners, crawlers, status monitors, and search engines. It can be used alone or with other managed and custom WAF rules, and AWS states that it has additional fees.
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Common and targeted protection
Common protection labels self-identifying bots and verifies generally desirable bots. AWS describes it as lower per-request cost and requiring no SDK. Targeted protection adds detection for sophisticated bots that do not self-identify, using browser interrogation, fingerprinting, behavioral heuristics, and optional machine-learning analysis. AWS describes the targeted option as higher cost per request.
AWS recommends custom rules for content publishers who want to allow selected verified search bots while blocking or rate-limiting others. Bot Control also supports Web Bot Authentication for bots and AI agents to cryptographically prove identity. AWS says that support requires AWS WAF Bot Control managed rule-set version 4.0 or later; a static version must be explicitly selected. The documentation applies it to CloudFront distributions and Regional resources in commercial AWS Regions, so verify current version and regional scope during implementation.
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Roll out in count mode first
AWS’s operational guidance is explicit: “Always deploy Bot Control in count mode first.” Inspect labels in logs and check whether legitimate traffic is being misclassified before switching to block mode. This staged approach gives you evidence about the rule’s effect before it can deny requests.
For deployments behind CloudFront, Cloudflare, or Fastly, AWS says the managed rule group automatically uses the originating client IP from the CDN’s standard client-IP header. Other proxy setups may require explicit forwarded-IP configuration. Confirm the actual request path and client-IP handling in your deployment; incorrect attribution can undermine bot decisions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to block AI crawlers without blocking search
- Inventory intended access. List which ordinary search crawlers, AI Search crawlers, user-directed agents, training crawlers, monitors, and other bots should reach the site. Specify path-level differences instead of assuming the same rule fits every page.
- Establish a baseline. Use the provider’s reporting or count/monitor mode before enforcement. Record request volume, crawler classifications, origin load, labels, and policy violations. Cloudflare reports request totals and robots.txt violations; AWS recommends count mode and log review.
- Make narrow decisions. Allow the verified search traffic you want to preserve, and block or rate-limit the behaviors you do not want. Add path exceptions only where the service can enforce them and the exception reflects a clear site policy.
- Test the live edge path. Check CDN and proxy client-IP forwarding, existing WAF rules, and origin logs. Observe unknown, spoofed, and mixed-purpose traffic rather than assuming classification is infallible.
- Enforce gradually and review. Move from monitoring to enforcement only when classifications and likely impact are understood. Watch for false positives and unexpected request changes, then revisit rules as crawler purposes, product taxonomies, plan limits, defaults, or rule versions change.
Robots.txt is a signal, not a complete enforcement layer
Robots.txt communicates crawl policy to crawlers that choose to follow it; it does not itself enforce a denial at the edge. Cloudflare reports robots.txt violations and can enforce crawler blocks through WAF custom rules, which illustrates the difference between a policy signal and an access control. The cited vendor documentation does not establish that every crawler complies with robots.txt or that any service detects all evasive traffic.
Choose based on stack fit, then verify the commercial terms
For a Cloudflare-fronted site, compare AI Crawl Control’s reporting and behavior controls with the detection depth and plan requirements you need. For a site using AWS WAF, compare common versus targeted protection, rule integration, and the inspection cost. A service’s practical value depends on whether its classifications, logs, enforcement actions, and deployment position match your policy—not on a feature list alone.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsObtain current prices and confirm feature availability, plan eligibility, proxy compatibility, and any per-request charges directly with the provider. The documented comparison does not establish comparable current prices, independent efficacy rankings, or a full market survey.
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