# Is Your Website Invisible to AI? Here's How to Check in 30 Seconds

You've invested in SEO. Your site ranks on Google. Traffic is steady. But here's a question most website owners haven't asked yet:

**When someone asks ChatGPT or Perplexity about your industry, does your website get cited?**

If the answer is no — or if you don't know — your site is likely invisible to AI search engines. And that's a growing problem.

## **The Invisible Website Problem**

AI search engines like ChatGPT Search, Perplexity, and Google AI Overviews now handle millions of queries daily. Unlike traditional search, they don't show a list of links. They generate a direct answer and cite their sources.

Here's the catch: **AI only cites content it can confidently understand and attribute.** That requires specific signals most websites don't have:

*   Structured data (JSON-LD schemas)
    
*   Explicit author and entity information
    
*   AI-readable content formatting
    
*   Proper bot access in robots.txt
    
*   Discovery files like `llms.txt`
    

Without these signals, your content might as well not exist to AI.

## **The 3-Minute Visibility Check**

Before running any tools, you can do a quick manual check:

### **1\. Ask AI About Your Topic**

Go to ChatGPT or Perplexity and ask a question your content should answer. For example, if you run a CRM company:

> "What's the best CRM for small businesses?"

Look at the citations. Are you there? Are your competitors?

### **2\. Check Your robots.txt**

Visit `yoursite.com/robots.txt`. Look for these user agents:

```plaintext
User-agent: GPTBot
User-agent: ChatGPT-User
User-agent: PerplexityBot
User-agent: ClaudeBot
User-agent: Google-Extended
```

If any of these are followed by `Disallow: /`, you've blocked that AI engine from crawling your content. Many sites did this in 2023-2024 out of AI concerns and forgot to reverse it.

### **3\. View Page Source for JSON-LD**

On your most important page, right-click > View Source. Search for `application/ld+json`. If you find nothing, you have no structured data — and AI engines have no machine-readable context for your content.

## **The Fast Way: Automated AI Visibility Audit**

The manual check above covers the basics, but there are 100+ signals that determine your AI visibility. Checking them all by hand would take hours.

[VektorAI](https://vektorai.io/) audits any URL across four pillars in under 10 seconds:

*   **SEO** (40+ checks) — the foundation AI engines expect
    
*   **AEO** (20+ checks) — Answer Engine Optimization signals
    
*   **GEO** (25+ checks) — Generative Engine Optimization signals
    
*   **Performance** — Core Web Vitals via PageSpeed Insights
    

You get a score for each pillar, a prioritized list of issues by severity, and copy-paste code fixes for every problem found.

**It's free to try** — no account required. Just paste a URL.

## **5 Most Common AI Visibility Gaps**

After auditing thousands of pages, these are the issues we see most often:

### **1\. No JSON-LD Structured Data (78% of pages)**

This is the biggest gap. Without JSON-LD, AI engines can't confidently identify:

*   What type of content this is (article, product, FAQ)
    
*   Who wrote it
    
*   When it was published
    
*   What organization it belongs to
    

**Fix:** Add at minimum an `Article` or `WebPage` schema with `author`, `datePublished`, and `publisher` fields.

### **2\. Missing Author Signals**

AI engines evaluate trustworthiness through E-E-A-T signals. They look for:

*   Author name in meta tags or visible byline
    
*   Publication date
    
*   Author credentials or bio
    
*   Social profile links
    

Most sites have content with no author attribution at all. To AI, that's anonymous and unverifiable.

### **3\. AI Bots Blocked in robots.txt**

Many sites added blanket bot blocks during the 2023 AI scraping concerns. Those blocks are now preventing your content from appearing in AI search results.

The irony: you're blocking the very engines that could be sending you traffic.

### **4\. No FAQ or How-To Schemas**

When someone asks an AI engine "How do I...?" or "What is...?", it looks for `FAQPage` and `HowTo` schemas first. If your content answers questions but doesn't have these schemas, AI has to guess whether your content is relevant — and it usually picks a competitor who made it explicit.

### **5\. Content Not Formatted for Extraction**

AI engines prefer content with:

*   Question-style headings (H2/H3 that match user queries)
    
*   Direct-answer opening paragraphs
    
*   Lists, tables, and structured comparisons
    
*   Key takeaway sections
    

Long walls of text with vague headings are hard for AI to extract and cite.