AI Search Readiness Checker: Test Your Website
AI Search Readiness. Enter any public page to test crawlability, AI-search crawler access, canonicalization, sitemap discovery, on-page clarity, structured data, authorship and visible source signals.
The checker fetches the public URL server-side. It does not log or store results in this application. Private/local-network targets are blocked.
What it checks
HTTP status, HTTPS, indexability, canonical URL, sitemap discovery, language/viewport, Googlebot, Bingbot, OAI-SearchBot and PerplexityBot access, page title, meta description, H1, crawlable text, headings, dates, JSON-LD, organization/author signals and external source links.
Why the score is useful
The score turns observable public technical and content signals into a prioritized baseline you can improve. It deliberately excludes unverifiable claims about proprietary Google or AI ranking systems.
What Is an AI Search Readiness Checker?
An AI Search Readiness Checker is a diagnostic tool that evaluates whether a public web page has a strong technical and content foundation for search engines and AI-powered search systems to crawl, understand and use. AISearch.wiki checks observable public signals such as crawlability, indexability, crawler access, canonicalization, sitemap discovery, page structure, structured data, authorship and visible sources.
Use this checker after publishing a new page, changing robots.txt, updating structured data, migrating a website, changing canonical tags or revising important content. A strong score does not guarantee rankings, inclusion or citations in Google, ChatGPT, Bing, Perplexity or any other platform. It identifies public signals you can inspect and improve.
How the AI Search Readiness Checker Works
Enter any publicly accessible URL and run the scan. The checker fetches the page server-side and evaluates signals that can be verified without access to your analytics, CMS or private data. Private and local-network targets are blocked, and scan results are not stored by this application.
Crawlability and Indexability
A page needs to be accessible before search systems can process it effectively. The checker reviews HTTP status, HTTPS, robots directives, indexability and related access signals that may prevent a public page from being crawled or indexed.
For Google Search and Google's generative AI features, established SEO fundamentals still apply. A page must be eligible for Search and accessible to Google's systems before it can compete for visibility in AI-supported Search experiences.
AI Crawler Access
The checker reviews access signals for Googlebot, Bingbot, OAI-SearchBot and PerplexityBot. Robots.txt rules can allow or restrict automated crawlers from accessing specific areas of a website.
OpenAI advises publishers who want their public content to be eligible for ChatGPT search summaries and citations not to block OAI-SearchBot. Crawler access does not guarantee an AI citation, but blocking a relevant crawler can create an avoidable discovery barrier.
Canonical URLs and Sitemap Discovery
Canonical tags help identify the preferred URL when duplicate or similar versions of a page exist. Sitemap discovery can also help crawlers locate important URLs. The checker looks for these signals so you can spot conflicting canonicals, discovery problems or other technical ambiguity.
Titles, Meta Descriptions and Headings
Clear page titles, meta descriptions and headings help establish what a page is about. The checker looks for a usable title, meta description, H1, crawlable text and heading structure. Give each important page one clear purpose, answer that purpose directly and organize supporting information under descriptive H2 and H3 headings.
Structured Data and Entity Signals
JSON-LD structured data can provide explicit machine-readable information about a page, organization, author, software application or other entity. The checker detects JSON-LD and looks for organization and authorship signals that can make the page's subject and source clearer.
Structured data should accurately describe content that exists on the page. It can support search understanding and eligible search features, but it is not a special shortcut or guaranteed ranking factor for generative AI results.
Visible Sources, Authorship and Trust Signals
Important factual or technical claims are easier to evaluate when their source is clear. The checker looks for organization or author signals, visible external sources and relevant dates. When citing technical guidance, prefer authoritative primary documentation and make the source link visible to users instead of hiding it only in structured data.
What Does the AI Search Readiness Score Mean?
90–100: Excellent public baseline. 80–89: Strong. 70–79: Needs work. Below 70: AI EMERGENCY. Review high-priority technical or content issues first.
The score is a public-signal diagnostic, not a prediction of a proprietary search or AI ranking system. Search engines and AI platforms use systems and signals that are not fully public. The score is designed to reveal observable issues you can act on, including crawler blocks, weak metadata, missing structure, canonical problems or unclear source signals.
How to Improve AI Search Readiness
Start with technical access. Confirm that the page returns a successful response, uses HTTPS, is not unintentionally blocked or set to noindex, uses the intended canonical URL and can be discovered through your site architecture and XML sitemap.
Next, improve the content itself. State the page's purpose clearly, answer the main question early, use descriptive headings, provide original and useful information, identify the responsible organization or author, and cite authoritative sources when they strengthen factual claims.
Finally, add structured data that accurately represents the visible page and its entities. Validate the markup, then run the AI Search Readiness Checker again after major changes to verify that the public signals reflect what you intended.
AI Search Readiness Checker FAQ
What is an AI Search Readiness Checker?
An AI Search Readiness Checker evaluates whether a public web page has the technical and content signals needed for effective crawling, indexing and machine understanding. It can identify problems such as crawler blocks, weak metadata, missing structured data, unclear canonicalization and limited source or authorship signals.
Is the AISearch.wiki AI Search Readiness Checker free?
Yes. AISearch.wiki provides the AI Search Readiness Checker as a free public technical diagnostic. Enter a publicly accessible URL to run the check.
Does a high readiness score guarantee Google rankings or AI citations?
No. A high score means the page has a strong observable technical and content baseline. It does not guarantee a ranking, inclusion, citation or recommendation in Google, ChatGPT, Bing, Perplexity or another search or AI system.
Which crawlers does the checker review?
The checker reviews access signals for Googlebot, Bingbot, OAI-SearchBot and PerplexityBot, along with general crawlability and indexability signals.
What should I fix first if my AI readiness score is low?
Fix blocking issues first: failed HTTP responses, accidental noindex directives, crawler blocks, incorrect canonicals and inaccessible pages. Then improve titles, descriptions, heading structure, crawlable content, structured data, authorship and visible source signals.
Does structured data make a page rank in AI search?
No structured data type guarantees AI-search rankings or citations. Structured data can clarify entities and page content and can support eligible search features, but it should be treated as accurate machine-readable description rather than a ranking shortcut.
How often should I check AI search readiness?
Run the checker after significant changes such as a redesign, CMS migration, robots.txt edit, canonical change, structured-data update or major content revision. Periodic checks are also useful because crawler behavior and platform guidance can change.