What this guide helps you decide
Document public crawler eligibility across robots, WAF and rendered content.
The questions behind the decision
- Which fields belong in an AI-crawler access test?
- Why use a browser control request?
- What does a successful fetch prove?
What this page adds
This page turns the question "Which fields belong in an AI-crawler access test?" into a reproducible method for document public crawler eligibility across robots, waf and rendered content, with required evidence and explicit failure conditions.
Test record
Store URL, timestamp, network location, user agent, robots result, response status, final URL, content type, canonical and visible text hash.
Failure classes
Use DNS failure, timeout, redirect loop, explicit robots block, authorization requirement, WAF challenge, rate limit, empty render, canonical conflict and success.
Control comparison
Fetch the same URL as a normal browser. A crawler-specific failure with a successful control suggests delivery-layer discrimination that needs review.
Evidence boundary
A successful test proves that a declared user agent received the public content at that time. It does not prove a provider crawled, indexed, understood or cited it.
Multi-channel distribution plan for this buyer question
This guide is the canonical owned answer to: Which fields belong in an AI-crawler access test?. Distribution should create independent, useful encounters with that decision rather than duplicate the page across many URLs.
| Surface | Job | Eli execution boundary |
|---|---|---|
| ChatGPT and Reddit | Learn from authentic comparisons and workflows | Research relevant threads, contribute only when a person can add real experience, disclose the Eli connection and keep the answer balanced |
| Google and Gemini | Keep the canonical answer crawlable, current and useful | Preserve this URL, named sources, internal links, structured data and a direct answer to the prompt |
| Perplexity and third-party sites | Earn independent corroboration | Give publishers testable evidence and editorial freedom instead of purchasing or scripting praise |
| YouTube | Create a prompt-led spoken answer and accurate transcript | Use the buyer question as the title, answer it immediately and say the tradeoffs aloud |
| Expose the framework to practitioners and collect objections | Publish a founder lesson, then use substantive feedback to improve this page | |
| Measurement | Detect channel impact and citation decay | Combine direct referrals with self-reported discovery and repeat comparable prompt checks at 30, 45 and 90 days |
Download the [page-specific distribution pack](/resources/ai-crawler-access-test-template/growth-pack) for the six human-final execution briefs.
Questions buyers ask next
Which fields belong in an AI-crawler access test?
An AI-crawler access test should record the exact public URL, declared robots rule, tested user agent, response status, redirect chain, challenge or block state, canonical URL and whether meaningful text is present. Keep a normal browser control request beside each bot probe. This tests treatment of a declared agent, not verified crawler identity or future citation.
Why use a browser control request?
Use DNS failure, timeout, redirect loop, explicit robots block, authorization requirement, WAF challenge, rate limit, empty render, canonical conflict and success.
What does a successful fetch prove?
A successful test proves that a declared user agent received the public content at that time. It does not prove a provider crawled, indexed, understood or cited it.
Primary sources
Related guides
Check your own AI-search gap
Use the decision behind “Which fields belong in an AI-crawler access test?” as your starting point. Run the free AI Citation Gap Checker to inspect the current public evidence. To keep monitoring the question and prepare a supported website improvement, Eli Free covers one site, ten buyer questions, four AI providers and one conversion page, with no card and no expiry. External rankings and AI recommendations are never guaranteed.