Find the website issues to review for AI search
Run a free audit of a public URL. Inspect eleven readiness checks and review the suggested fixes before choosing what to change.
Read the audit methodologyRun your free website audit
Enter a public URL. The preview checks your website without installation or repository access.
Free audit. No signup required.
The audit describes sampled website observations. It does not measure AI mentions or citations, predict rankings, or guarantee that an AI system will cite you.
Review the findings behind the score. Use the report's bounded evidence, observed issues and available manual instructions to decide your next change.
Choose your next change from the findings
See which checks found an issue and which observations need interpretation. Review the evidence before applying a suggested fix.
Inspect access and discovery
Review crawler rules, sitemap entries and page references. Check the observed access or discovery issue before changing a file.
Review content and metadata
Inspect readable page content, structured data and brand signals. Separate observed issues from optional conventions and unverified findings.
Decide what to fix first
Start with the suggested fixes, then assess their relevance to your website. The priority order does not establish business impact or effort.
Inspect, change and check again
Inspect your website's findings
Enter a public URL and review the preview. The audit examines sampled pages, metadata and crawler-facing files.
Review the suggested priorities
Read the issues and available fix instructions. Decide which findings matter for your website before editing.
Make a reviewed change
Apply the change yourself after reviewing the instructions. Running an audit does not edit your website.
Review a later measurement
Run another audit to inspect later findings, or compare two websites. Review coverage and applicability before interpreting a difference.
Inspect eleven areas of website readiness
Open each category to understand its purpose and limits. These checks describe website observations, not measured visibility in AI answers.
llms.txt
Review the file and its supported page references. File presence does not prove AI adoption.
llms-full.txt
Inspect the expanded text reference. Its presence does not prove an AI system uses it.
JSON-LD
Review observed structured data and page signals. Parser findings do not establish semantic validity.
AI-crawler robots
Inspect crawler-specific access rules. Permission does not prove a crawler visited your site.
Extractability
Review readable content and headings in sampled HTML. Browser-rendered completeness remains unverified.
Sitemap
Inspect sitemap references and observed URL status. The sample does not establish full-site coverage.
Canonicals
Review canonical declarations on sampled pages. Their effect on indexing remains unverified.
OG / Twitter cards
Inspect social-card metadata on sampled pages. Metadata presence does not prove a rendered preview.
Internal linking
Review observed links between sampled pages. Site-wide orphan coverage remains unverified.
Brand and entity metadata
Inspect self-declared brand and entity metadata. This category does not measure AI mentions or citations.
Content gaps
Review sampled content-length and page-type signals. These heuristics do not prove missing answers across your site.
Review AI-answer evidence separately
Website readiness checks do not measure model answers. When activated, private provider panels let you inspect recorded prompts, answers, mentions and citations with their measurement context.
Review provider-panel requirementsKnow what was measured
Provider, model, mode and timestamps stay with the evidence.
Choose a finite panel
Private answer panels require separate access and availability.
No consumer monitoring claim
These panels do not monitor consumer ChatGPT, Claude UI or Google AI Overviews.
Free readiness preview
$0 / audit preview
Public website audit. No signup required. Requests are rate-limited.
Run a readiness auditIncluded now
Eleven categories of bounded observations, experimental legacy values and manual recommendations for review. No purchase or citation guarantee.
Available with configuration
Authenticated provider-API panels require a private project and explicitly approved provider budgets. Storage and cron configuration are needed for schedules and history.
Not sold in this preview
GitHub PR execution, paid subscriptions, alerts, seats, SSO, SLA and white-label features are not available. Consumer ChatGPT and AI Overviews are not monitored.
Before you audit
Does a higher score mean more citations?
No. The number is an experimental legacy heuristic, not readiness certification, a risk indicator or a forecast. Review the evidence-first findings instead.
What can I share?
With your explicit consent, a share link exposes the domain, experimental legacy values and calculation disclosure, outcome counts, coverage/applicability counts and audit timestamp. Private prompts, crawled text, citations and feedback stay private. Links expire after 30 days and can be revoked.
Can I monitor changes?
Signed-in history and schedules have separate availability requirements. Inspect later findings with their evidence and coverage; a changed legacy score alone does not prove an improvement.
Will you change my repository?
No changes are made by running an audit. GitHub PR execution is currently disabled. Review and apply the manual instructions yourself.