AI Visibility Lab
GEOAEOLLMs.txtAI crawler access

AI Visibility Checker

AI Visibility Checker is a free GEO audit tool that checks whether ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews can discover, understand, and cite your website.

Published by the AI Visibility Lab research team. Last updated: June 26, 2026.

100
point visibility score
8
AI and search crawlers
6
ranking dimensions

AI audit command

Run a free AI visibility audit

100-point score

Example command center

Good but missing signals
78
/100

Good

AI crawl, extractability, schema, citation and freshness signals.

AI crawler access
18
of 20 points
Sitemap / llms.txt / robots health
12
of 15 points
Entity clarity / schema
16
of 20 points
Answer extractability
15
of 20 points
Citation-worthiness
9
of 15 points
Freshness / update signals
5
of 10 points

AI Crawler Access

robots.txt · sitemap · key paths
CrawlerStatusHomepageBlogDocsSitemap
GPTBotBlockedNoNoNoNo
OAI-SearchBotAllowedYesYesYesYes
ChatGPT-UserAllowedYesYesYesYes
ClaudeBotAllowedYesYesYesYes
PerplexityBotAllowedYesYesYesYes
Google-ExtendedAllowedYesYesYesYes
GooglebotAllowedYesYesYesYes
BingbotAllowedYesYesYesYes

Scoring formula

Built for AI discovery, not just blue links

The audit checks whether engines can crawl the site, identify the brand entity, extract direct answers, and trust the page enough to cite it.

20
AI crawler access
15
Sitemap / llms.txt / robots health
20
Entity clarity / schema
20
Answer extractability
15
Citation-worthiness
10
Freshness / update signals

Evidence-backed GEO

Recommendations tied to crawlable proof

The checker separates observable signals from guesswork. Each fix should map to a file, page element, structured data field, prompt result, or visible freshness signal.

Last updated: June 26, 2026

Crawler policy

robots.txt and sitemap.xml must expose public pages to search and useful AI crawlers.

AI guidance file

llms.txt should summarize key pages, brand facts, use cases, and citation guidance.

Entity extraction

Organization, WebSite, SoftwareApplication, FAQPage, and Breadcrumb schema reduce ambiguity.

Citation readiness

Definitions, tables, dates, sources, and comparison blocks make pages easier to quote.

WorkflowWhat it provesWhen to use it
SEO auditFinds crawl, indexability, metadata, and technical search issues.Use before GEO to make sure the site can be discovered.
Prompt monitoringTracks whether AI systems mention the brand for category and competitor prompts.Use after technical fixes to measure movement.
GEO auditConnects crawler access, entity clarity, extractability, citations, and freshness.Use to decide which page changes should happen first.

Brand prompt set

Generate AI search prompts

Prompts

best tools for {category}
{brand} alternatives
{brand} vs {competitor}
how to choose {category} software

Platform coverage

Designed around the AI surfaces brands now watch

ChatGPT

Benefits from accessible pages, clear entity facts, fresh public sources, and pages that answer category prompts directly.

Perplexity

Often rewards pages with concise summaries, tables, dated evidence, and citation-friendly URLs.

Claude

Needs crawlable pages and clearly structured explanations that avoid burying the core answer.

Gemini

Relies on search visibility, schema, entity consistency, and Google-readable freshness signals.

Google AI Overview

Usually appears where pages already satisfy search intent and include trustworthy answer blocks.

Last updated: June 26, 2026

FAQ

AI visibility questions answered directly

These short answers are written for humans first, then structured so answer engines can extract the same facts without guessing.

What is an AI visibility checker?

An AI visibility checker audits whether answer engines and AI search systems can crawl, understand, cite, and recommend a website.

What does AI Visibility Lab check?

It checks crawler access, robots.txt, sitemap.xml, llms.txt, schema, extractable answer blocks, citation readiness, and freshness signals.

Why does llms.txt matter?

An llms.txt file gives AI crawlers a concise map of canonical pages, brand facts, use cases, and citation guidance.

Sources and methodology

Citation signals grounded in public standards

The rules-based audit uses observable page and crawl signals, then maps each recommendation to an implementation artifact.