How to Check If AI Crawlers Can Read Your Website

Can AI crawlers read my website? You can get a useful answer in about five minutes using nothing more than your browser.

The simplest test is to compare what you see on the page with what is present in the HTML your server sends before JavaScript runs.

If your main copy, service information, FAQs, pricing, locations or important facts are missing from that initial HTML and only appear after JavaScript executes, you have identified a potential crawler-access problem.

That does not automatically mean every AI crawler cannot read the page.

Google, for example, renders JavaScript using its Web Rendering Service. But Google also notes that not every bot can execute JavaScript, which is why server-side or pre-rendered content remains a strong approach when important information needs to be available broadly to crawlers.

So the practical rule is simple:

If commercially important content exists in the initial HTML, you are relying less on the crawler’s rendering capabilities.

And that is a safer position for SEO, GEO and AEO.

Table of contents

1. What does it mean for an AI crawler to read a website?
2. Test 1: Check the page source
3. What should you look for in view-source?
4. Test 2: Disable JavaScript
5. Test 3: Compare raw and rendered HTML
6. Test 4: Use curl for a technical check
7. What does a failed AI crawler test look like?
8. Why can Google read content that another crawler may miss?
9. Does Elementor cause AI crawler problems?
10. Do you need to rebuild your website?
11. Which problems should you fix first?
12. Five-minute AI crawler checklist
13. Frequently asked questions

What does it mean for an AI crawler to read a website?

When a person loads a modern website, the browser may do much more than download one HTML file.

It can:

• download JavaScript
• call external APIs
• build page elements
• open interactive components
• populate counters
• load text into sliders
• expand tabs
• retrieve content after the initial request

By the time you see the finished page, the browser may have transformed a relatively sparse initial response into a complete experience.

A crawler may not follow exactly the same process.

Google documents a crawling, rendering and indexing workflow. It can fetch a page, place it in a rendering queue, execute JavaScript using Chromium and then analyse the rendered HTML.

But that should not be treated as proof that every AI crawler renders every page in the same way.

OpenAI documents crawlers such as OAI-SearchBot and GPTBot and provides controls for website owners, but its public crawler documentation does not promise that every page will receive a Google-style JavaScript rendering process.

Perplexity likewise documents PerplexityBot as its search crawler and recommends allowing both the crawler and its published IP ranges if you want content to be available for Perplexity search.

That is why the initial HTML matters.

Test 1: Check the page source

This is the fastest diagnostic.

Open one of your important pages in a desktop browser.

Then either:

Right-click → View Page Source

or use:

Ctrl + U on Windows
Command + Option + U on Mac in browsers that support it

You can also try:

You are now looking at the HTML returned by the server rather than the fully rendered page you see after browser scripts have finished running.

Next, search the source for a distinctive sentence from the page.

Choose something commercially important, such as:

• your main service description
• an FAQ answer
• your location
• a product feature
• a testimonial
• a price
• a statistic
• a key differentiator

If you can find that exact content in the page source, that is a good sign.

If it is completely absent but visible on the live page, JavaScript may be responsible for adding it later.

What should you look for in view-source?

Do not test random decorative text.

Test the information an AI system would actually need to understand your business.

For example, a commercial cleaning company should check whether the source includes:

• what services it provides
• which locations it serves
• who the service is for
• important certifications or proof
• FAQs
• contact details
• key service benefits

A software company might check:

• product capabilities
• integrations
• pricing context
• feature descriptions
• use cases

The question is:

If a crawler only had this initial HTML, would it still understand the page?

That makes the view-source test useful for both technical SEO and Generative Engine Optimisation.

Test 2: Disable JavaScript

The second test is even more visual.

Open the page in Chrome and use Developer Tools to temporarily disable JavaScript.

Then reload the page.

What remains?

If the page still shows:

• headings
• main copy
• service information
• links
• FAQs
• contact details
• relevant proof

then the essential content is less dependent on client-side JavaScript.

If most of the page disappears, stays blank or loses important information, that deserves investigation.

This test is intentionally crude.

It does not perfectly reproduce OAI-SearchBot, PerplexityBot, Googlebot or any other crawler.

What it does is expose how dependent your page is on JavaScript to communicate its core meaning.

Test 3: Compare raw and rendered HTML

There are actually two versions of HTML worth thinking about.

Raw HTML

This is what the server initially sends.

It is what you see through View Source or a basic curl request.

Rendered HTML

This is the page structure after the browser has executed JavaScript and modified the DOM.

Google explicitly recommends using tools such as its URL Inspection Tool or Rich Results Test to inspect the rendered HTML when diagnosing JavaScript search issues.

For Google, this gives you a much stronger answer than View Source alone because it shows what Google’s renderer was actually able to produce.

For AI crawler testing, raw HTML remains useful because it highlights content that requires no rendering at all.

A strong implementation usually makes core information available early and uses JavaScript to improve the experience rather than to hide the basic meaning of the page behind rendering.

Test 4: Use curl for a more technical check

If you are comfortable with a terminal, curl gives you the server response without running page JavaScript.

A simple request looks like this:

curl -L https://example.com/service-page/

Then search the returned HTML for a known sentence.

You can also send a crawler-style user-agent:

curl -L \

-A “OAI-SearchBot/1.0” \

Or:

curl -L \

-A “PerplexityBot/1.0” \

But there is an important limitation.

Changing the user-agent does not turn curl into the real crawler.

It does not replicate:

• the crawler’s real IP address
• its rendering environment
• its JavaScript capabilities
• its crawl scheduling
• its network behaviour

Some WAFs also verify published crawler IP ranges rather than trusting a user-agent string alone. Perplexity specifically recommends matching both user-agent and official IP addresses when configuring WAF access.

So use user-agent spoofing as a server-response diagnostic, not as proof that a specific AI platform sees exactly the same thing.

What does a failed AI crawler test look like?

The most common failures are not necessarily entire blank pages.

They are smaller pieces of commercially important information disappearing.

None of these patterns is automatically bad.

The question is whether important factual content depends on them unnecessarily.

Why can Google read it but ChatGPT cannot?

Because different systems use different crawling and rendering infrastructure.

Google has invested heavily in web rendering.

Its documentation says Google Search renders JavaScript using a recent version of Chromium, and it can use the resulting rendered HTML during indexing.

That does not mean every crawler behaves the same way.

Google itself still recommends server-side or pre-rendering as a useful approach and notes that not all bots can run JavaScript.

This is one reason a page can look perfectly healthy in Google Search while still being less straightforward for another crawler to process.

If you want more detail on that issue, read:

Why Your Website May Be Invisible to AI Search Because of JavaScript

Does Elementor cause AI crawler problems?

Not automatically.

Elementor can produce perfectly crawlable pages.

So can Wix, WordPress, Shopify and most other modern platforms.

The problem is not the builder name.

The problem is how a particular component outputs its content.

For example, one Elementor page may include all important service copy directly in the HTML.

Another may use a third-party widget that retrieves content through JavaScript after page load.

Same CMS.

Different crawler result.

So do not diagnose this as:

We use Elementor, therefore we have a JavaScript SEO problem.

Test the actual page.

Do I need to rebuild my website?

Usually not.

If only a few elements depend too heavily on client-side rendering, targeted fixes may be enough.

Possible fixes include:

• outputting important copy directly in server-rendered HTML
• replacing problematic widgets
• using server-side rendering
• using static generation
• changing how API content is delivered
• making FAQ answers available in the DOM without requiring a fetch
• ensuring important statistics have meaningful HTML values

Google’s current guidance recommends server-side rendering, static rendering or hydration rather than dynamic rendering as a long-term JavaScript SEO solution.

That does not mean every site needs an expensive rebuild.

Fix the commercially important failures first.

Which problems should you fix first?

Use this order.

If an animated number is missing, that may matter.

If an animated background is missing, it probably does not.

Fix meaning before decoration.

Make the important content easy to retrieve

A website can look perfect to a visitor and still make its most useful information unnecessarily difficult for automated systems to retrieve.

That is why this test is worth running before making more complicated GEO or AEO changes.

Start with the basics.

Can the crawler access the URL?

Does the server return the content?

Is the important information available without requiring a complex client-side rendering process?

If the answer to those questions is yes, you have removed several avoidable technical barriers.

If you want a broader check of how your business appears across AI search platforms, Lobo Digital’s free AI visibility audit looks beyond crawl access to how your business is actually being found and surfaced.

Get your free AI visibility audit.

Marcus Lobow Founder

Marcus is the founder of Lobo Digital, a London digital marketing agency specialising in SEO, GEO, and AI search optimisation for SMEs and purpose-driven organisations.

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