Public AI Access tool

Public AI Access Check

Test whether AI-assisted search systems can crawl, parse, and understand your public content. Checks llms.txt, AI crawler permissions, structured data, extractable answers, semantic HTML, and OpenGraph meta tags.

Typical check: 3sNo paid API requiredCrawler policy checksStructured extraction signalsTrust-focused guidance

Check public AI access Browse Public AI Access

Typical time

Access

Open

Processing

Live

Intent

Public AI Access

What it checks

Public AI Access Check coverage

Public AI Access Check

Check whether public pages are crawlable and easy for AI tools to parse.

Machine readability

Review semantic structure, metadata, schema, and crawl permissions.

Citation signals

Look for clear answers, factual density, authorship, and source context.

Public AI access next steps

Prioritize changes that help answer engines quote the right content.

Methodology

How the result is produced

1Checks 6 public AI access signals: llms.txt presence, AI crawler permissions in robots.txt, structured data quality, content clarity, semantic HTML usage, and OpenGraph completeness.
2Each signal is scored independently with a weighted composite for crawl access, extractability, metadata clarity, and citation readiness.
3Results are based on live fetches — not cached or historical snapshots.

Next steps

How to act on the result

Create a /llms.txt file that describes your site's purpose, key pages, and documentation links.
Align robots.txt with your AI policy. Allow retrieval crawlers only where your business wants public AI discovery, and keep private paths blocked.
Add comprehensive JSON-LD structured data (Organization, Article, FAQPage) to your key pages.
Use definition-style opening sentences and FAQ sections to increase content quotability.
Replace generic div-heavy layouts with semantic HTML5 elements (main, article, section, nav).

Interpretation

Read the result without guessing

What the result means

Public AI access checks identify crawl, extraction, metadata, and source-clarity blockers.
They do not guarantee AI mentions, rankings, or citations.
Fix access policy first, then improve answer structure and trust evidence on priority pages.

Evidence to keep

robots.txt, llms.txt, meta robots, schema, canonical, and rendered answer sections.
The specific public pages that should be easier for AI systems to parse.
Source, author, date, and factual-density signals for pages that should be cited.

Best next fix

Align robots.txt, llms.txt, sitemap, and canonical signals.
Add direct-answer sections, semantic HTML, and accurate JSON-LD.
Improve source clarity, then retest the same priority URLs after crawl refresh.

Related diagnostic workflows

llms.txt is not detectedA practical setup check for sites adding an llms.txt context file without treating it as a ranking shortcut.Open workflow AI crawler appears blockedA policy-first workflow for separating classic search bots, retrieval bots, and training controls.Open workflow

Use cases

When to use the Public AI Access Check

Public AI access signals

Improve crawl access, extractability, structured data clarity, and source context.

Content extraction QA

Check whether pages are structured for snippets, answers, and source references.

Crawler policy review

Align robots, metadata, schema, and llms.txt with your public AI crawl policy.

Popular checks

Try AI Access on common domains

AI Access for openai.com AI Access for perplexity.ai AI Access for anthropic.com AI Access for github.com AI Access for cloudflare.com AI Access for shopify.com

Next paths

Continue with the right follow-up

Use these pages when the result points to a broader check, a fix workflow, or a related technical question.

Public AI access checklist llms.txt Complete Setup Guide AI search readiness notes

Fix workflows

Fix issues found by AI Access

How to fix structured data errors

Fix broken JSON-LD, missing required fields, and schema mismatches that reduce rich result eligibility.

Open fix guide

How to fix AI crawlers blocked by robots.txt

Separate AI retrieval, AI training, and classic search crawler rules so your policy matches what should be public.

Open fix guide

Frequently asked questions

Public AI Access Check common questions

Do I need an account to use the Public AI Access Check?+

No. Enter a URL or domain and run the check in your browser. Some results can be partial if the target site blocks requests or hides the data being checked.

How accurate is the Public AI Access Check?+

The Public AI Access Check runs live checks against the target website. Results reflect what was reachable at the time of the test, so retest after changing DNS, redirects, headers, or page content.

What does the Public AI Access Check check?+

When should I use the Public AI Access Check?+

Use this tool whenever you need to quickly verify check whether public pages are crawlable and easy for ai tools to parse for any website. It's especially useful during site launches, migrations, and routine maintenance.

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Public AI Access tool

Public AI Access Check

Typical check: 3sNo paid API requiredCrawler policy checksStructured extraction signalsTrust-focused guidance

Check public AI access Browse Public AI Access

Typical time

Access

Open

Processing

Live

Intent

Public AI Access

What it checks

Public AI Access Check coverage

Public AI Access Check

Check whether public pages are crawlable and easy for AI tools to parse.

Machine readability

Review semantic structure, metadata, schema, and crawl permissions.

Citation signals

Look for clear answers, factual density, authorship, and source context.

Public AI access next steps

Prioritize changes that help answer engines quote the right content.

Methodology

How the result is produced

1Checks 6 public AI access signals: llms.txt presence, AI crawler permissions in robots.txt, structured data quality, content clarity, semantic HTML usage, and OpenGraph completeness.
2Each signal is scored independently with a weighted composite for crawl access, extractability, metadata clarity, and citation readiness.
3Results are based on live fetches — not cached or historical snapshots.

Next steps

How to act on the result

Create a /llms.txt file that describes your site's purpose, key pages, and documentation links.
Align robots.txt with your AI policy. Allow retrieval crawlers only where your business wants public AI discovery, and keep private paths blocked.
Add comprehensive JSON-LD structured data (Organization, Article, FAQPage) to your key pages.
Use definition-style opening sentences and FAQ sections to increase content quotability.
Replace generic div-heavy layouts with semantic HTML5 elements (main, article, section, nav).

Interpretation

Read the result without guessing

What the result means

Public AI access checks identify crawl, extraction, metadata, and source-clarity blockers.
They do not guarantee AI mentions, rankings, or citations.
Fix access policy first, then improve answer structure and trust evidence on priority pages.

Evidence to keep

robots.txt, llms.txt, meta robots, schema, canonical, and rendered answer sections.
The specific public pages that should be easier for AI systems to parse.
Source, author, date, and factual-density signals for pages that should be cited.

Best next fix

Align robots.txt, llms.txt, sitemap, and canonical signals.
Add direct-answer sections, semantic HTML, and accurate JSON-LD.
Improve source clarity, then retest the same priority URLs after crawl refresh.

Related diagnostic workflows

Use cases

When to use the Public AI Access Check

Public AI access signals

Improve crawl access, extractability, structured data clarity, and source context.

Content extraction QA

Check whether pages are structured for snippets, answers, and source references.

Crawler policy review

Align robots, metadata, schema, and llms.txt with your public AI crawl policy.

Popular checks

Try AI Access on common domains

AI Access for openai.com AI Access for perplexity.ai AI Access for anthropic.com AI Access for github.com AI Access for cloudflare.com AI Access for shopify.com

Next paths

Continue with the right follow-up

Use these pages when the result points to a broader check, a fix workflow, or a related technical question.

Public AI access checklist llms.txt Complete Setup Guide AI search readiness notes

Fix workflows

Fix issues found by AI Access

How to fix structured data errors

Fix broken JSON-LD, missing required fields, and schema mismatches that reduce rich result eligibility.

Open fix guide

How to fix AI crawlers blocked by robots.txt

Separate AI retrieval, AI training, and classic search crawler rules so your policy matches what should be public.

Open fix guide

Frequently asked questions

Public AI Access Check common questions

Do I need an account to use the Public AI Access Check?+

No. Enter a URL or domain and run the check in your browser. Some results can be partial if the target site blocks requests or hides the data being checked.

How accurate is the Public AI Access Check?+

The Public AI Access Check runs live checks against the target website. Results reflect what was reachable at the time of the test, so retest after changing DNS, redirects, headers, or page content.

What does the Public AI Access Check check?+

When should I use the Public AI Access Check?+