Policy is not traffic evidence.
The checker evaluates the public robots policy. Only server, CDN, edge, WAF, or supported tracker records can prove a request occurred.
See the deployed robots rule, separate crawler purposes, and keep policy distinct from observed traffic.
Fix one unintended access rule, deploy, and repeat the same path check.
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An AI or LLM crawler checker should fetch the deployed robots.txt file, identify the group that applies to a named crawler, evaluate representative public paths, and show the matching allow or disallow evidence. Run search, training, and user-triggered identities separately. The result describes published policy; server-side logs are required to prove traffic, while citations and referrals require different evidence.
This checker separates crawler purposes and evidence. OpenAI exposes independent controls for search and model-improvement crawlers; Anthropic documents ClaudeBot rules; Perplexity distinguishes its automated crawler from user-triggered retrieval. The result reports the deployed policy and the next verification step rather than treating every AI bot as interchangeable.
The checker evaluates the public robots policy. Only server, CDN, edge, WAF, or supported tracker records can prove a request occurred.
Search, training, and user-triggered agents can have different identities and controls. Evaluate the named agent instead of applying one generic AI-bot result.
Audit, AI visibility, research, content optimization, and reporting-organized around the website you are improving.
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Resolve retrieval and rule evidence before investigating real traffic or downstream visibility.
A robots checker should fetch the canonical `/robots.txt` file, record its status and final URL, then evaluate the most specific applicable user-agent group. Global rules, bot-specific rules, allow directives, disallow paths, and sitemap references can interact. The report should show the matching lines so an owner can verify the conclusion.
A GPTBot checker needs an important qualification: GPTBot is not the same control as OAI-SearchBot. OpenAI documents GPTBot for potential model improvement and OAI-SearchBot for surfacing sites in ChatGPT search; each robots setting is independent. Allowing one while blocking the other can be a deliberate policy rather than an error.
A ClaudeBot checker evaluates the current Anthropic crawler names and published robots guidance. Anthropic states that its bots honor robots.txt and documents ClaudeBot separately. Because provider policies can change, the result should link to the official documentation and record the date checked instead of embedding an undated crawler list.
A PerplexityBot checker must distinguish PerplexityBot from Perplexity-User. Perplexity documents the first as a search crawler and the second as a user-triggered fetcher with different behavior. For traffic verification, Perplexity publishes IP lists and recommends combining user-agent and IP evidence rather than trusting the string alone.
Access is only the first layer. To confirm activity, inspect server, CDN, edge, or supported tracker logs for URL, time, status, user agent, and available identity evidence. Keep these automated requests out of human referral reports. A green robots result means the policy permits access; it does not mean a visit occurred.
Not always. Allow access only where it supports your content and privacy strategy.
No. It only controls crawl access signals.
The public access check can inspect core robots.txt rules without proving a crawler visit or a downstream citation. Deeper tracking and recommendations depend on the available TruboRankAI workflow and plan.
No. OpenAI documents them as independent controls with different purposes, so test and decide each policy separately.
No. User-agent strings can be copied. Use provider-supported verification evidence where available and label unverified requests honestly.