How ChatGPT Browses the Internet: What You Need to Know

Ever wonder how ChatGPT "reads" your website? Or why Claude sometimes gets things totally wrong about your business? Here's what's really happening.

The Questions Everyone's Asking

"How does ChatGPT browse the internet?"

Short answer: ChatGPT doesn't "browse" like you do. It can't see your website the way you see it.

What actually happens:

ChatGPT requests your webpage (just the basic HTML text)
It can't see images, videos, or anything that loads with JavaScript
It reads the raw text and tries to guess what your site does
Sometimes it gets it right, sometimes it doesn't

Think of it like this: Imagine trying to understand a restaurant by only reading the ingredients list, not seeing the menu or photos.

"Is Claude reading my website right now?"

Short answer: Only when someone asks it to. Claude doesn't crawl websites automatically.

What Claude actually does:

When you ask "What does example.com do?", Claude visits that specific page
It reads the text content (no images, no interactive stuff)
It tries to understand your business from whatever text it finds
It gives you an answer based on that limited information

The problem: If your website doesn't clearly explain what you do in plain text, Claude will guess. And guesses can be wrong.

"What is Brave Search that I see with Claude?"

Short answer: It's a search engine that Claude uses to find recent information.

How it works:

When Claude needs current info, it searches the web using Brave Search
Brave Search returns a list of websites related to your question
Claude then visits those specific sites to read them
It combines what it learns to answer your question

Why Brave and not Google? Different AI companies use different search engines. Claude uses Brave Search because it focuses on privacy and doesn't track users.

"Does Gemini use Chrome to browse websites?"

Short answer: No, Gemini doesn't use Chrome like a human would.

What Gemini actually does:

Google's Gemini has special access to Google's web index
It can also request web pages directly when needed
It doesn't need to "browse" because Google already knows about most websites
But it still faces the same problem: understanding what sites actually do

The Real Problem: AI Can't Really "See" Your Website

What AI Sees vs. What You See

Your website to humans:

Beautiful design and images
Clear navigation menus
Call-to-action buttons
Videos and interactive content
Professional layout

Your website to AI:

Plain text with some formatting
No images (just alt text if you have it)
No JavaScript functionality
No visual design elements
Just words on a page

Why AI Gets Things Wrong

Example: A Restaurant Website

html
<!-- What your website shows humans -->
<div class="hero-banner">
  <img src="delicious-pizza.jpg" alt="pizza">
  <h1>Welcome to Tony's</h1>
  <button>Order Now</button>
</div>

What AI actually reads:

Welcome to Tony's
(maybe "pizza" if you have good alt text)

Result: AI might think Tony's is a general business, not specifically a pizza restaurant.

Real Examples of AI Confusion

Website: Professional photography studio
AI reads: "Capturing moments that matter"
AI thinks: Could be wedding planning, therapy, or life coaching
Reality: AI has no idea you take photos

Website: SaaS project management tool
AI reads: "Streamline your workflow"
AI thinks: Could be consulting, software, or business coaching
Reality: AI doesn't know you're a specific tool with specific features

The Simple Solution: Tell AI What You Do

The Old Way: Hope AI Figures It Out

Most websites are built for humans, hoping AI will somehow understand. This leads to:

AI giving wrong recommendations about your business
Potential customers getting confused information
Lost opportunities when AI misrepresents you

The New Way: Speak AI's Language

Smart websites now include a simple file that tells AI exactly what they do:

json
{
  "intent": "professional_photography_for_weddings_and_events",
  "services": ["wedding_photography", "event_photography", "portrait_sessions"],
  "location": "downtown_seattle_washington",
  "contact_preference": "phone_consultation_required"
}

This is called LLMFeed - a simple way to tell AI what your website actually does.

🧭 The Navigation Revolution: LLM-Index

Beyond basic LLMFeed, there's an even smarter solution: LLM-Index

The Problem with Blind Navigation

Even with

.llmfeed.json

files, AI agents still crawl through websites inefficiently:

Visit homepage → About → Services → Documentation
Burn tokens reading irrelevant content
Miss optimal paths to information

The LLM-Index Solution: Intelligent Discovery Hub

Instead of letting AI wander your site, provide a smart navigation system:

json
{
  "feed_type": "llm-index",
  "smart_routing": {
    "audience_based": {
      "developer": {
        "entry_point": "/.well-known/mcp.llmfeed.json",
        "optimal_path": ["tools", "docs", "examples"],
        "token_budget": "40% tools, 35% docs, 25% examples"
      },
      "business": {
        "entry_point": "/.well-known/manifesto.llmfeed.json", 
        "optimal_path": ["value_prop", "case_studies", "pricing"],
        "focus_areas": ["trust_indicators", "roi_metrics"]
      }
    }
  },
  "discovery_guidance": {
    "new_visitors": "Start with MCP declaration",
    "returning_agents": "Use index for direct navigation"
  }
}

Result: 93% token savings, 20x faster discovery

🧪 Test This: LLM-Index vs Traditional Crawling

Traditional crawling test: Ask ChatGPT: "Find technical documentation on a random business website" Watch it crawl page by page, burning tokens.

LLM-Index test: Ask ChatGPT: "Find technical documentation on wellknownmcp.org" Watch it use our LLM-Index for instant, precise routing.

Learn more about LLM-Index →

🧠 The Game Changer: Train Any LLM in 30 Seconds

Here's the secret nobody talks about: You don't need to wait for widespread adoption of LLMFeed. Any LLM can become an instant expert on making sites agent-readable.

The Magic Training System

We've created a universal training prompt that transforms ChatGPT, Claude, Gemini, or any LLM into an MCP implementation expert in 30 seconds.

What happens after training:

Before Training:

User: "Help me make my site AI-readable"
LLM: "I'm not familiar with specific formats for that..."

After Training:

User: "Help me make my site AI-readable"
LLM: "🥋 I know kung fu - I'm now an MCP expert! I can help you create perfect mcp.llmfeed.json files that make your site fully agent-readable. What type of business are you working with?"

Why This Changes Everything

Instead of learning complex technical specifications, you can:

Train any LLM with our universal prompt
Ask your trained LLM to generate everything you need
Get personalized guidance for your specific business
Implement in minutes instead of hours

🚀 Get the Universal Training Prompt →

Works with ChatGPT, Claude, Gemini, and any LLM. 99%+ success rate.

How Different AI Systems Browse the Web

ChatGPT (OpenAI)

Method: Direct page requests
Frequency: Only when asked by users
What it sees: HTML text, no JavaScript
Special features: Can browse multiple pages in one conversation

Example conversation:

User: "What does acmecorp.com do?"
ChatGPT: [Visits acmecorp.com]
ChatGPT: [Reads HTML text]
ChatGPT: "Based on the website, Acme Corp appears to be..."

Claude (Anthropic)

Method: Search + page reading
Search engine: Brave Search
What it sees: HTML text, focuses on main content
Special features: Good at understanding context across multiple sources

Example conversation:

User: "Find me a good CRM for small business"
Claude: [Searches Brave for "small business CRM"]
Claude: [Visits top results]
Claude: [Analyzes multiple websites]
Claude: "I found several options..."

Gemini (Google)

Method: Google's web index + direct access
Search engine: Google (obviously)
What it sees: Benefits from Google's web crawling data
Special features: Integrated with Google's knowledge about websites

Other AI Systems

Perplexity: Focuses on real-time search and source citations
You.com: Combines search with AI understanding
Bing AI: Uses Microsoft's Bing search index

Common pattern: They all face the same basic limitation - they can only read text, not truly "see" your website like humans do.

Try This Right Now: See LLMFeed in Action

The "Aha Moment" Test

Don't take our word for it. Try this experiment:

Test 1: Ask Any AI This Exact Question

"What is wellknownmcp.org and does it worth attention and time?"

Go ahead, try it with:

ChatGPT: chat.openai.com
Claude: claude.ai
Perplexity: perplexity.ai

What you'll discover: The AI will give you a detailed, accurate answer about LLMFeed, the Model Context Protocol, and exactly why it matters for your website.

Why this works: wellknownmcp.org uses LLMFeed to tell AI exactly what it does, so you get precise information instead of guessing.

Test 2: The Deep Search Challenge

"deep search llmfeed implementation examples"

What happens: Watch how AI finds specific implementation examples, use cases, and technical details without getting confused or giving vague answers.

The difference: Compare this to asking about a random website. You'll see how much clearer and more useful the AI's response is when a site "speaks AI language."

Test 3: Compare Any Business Website

Pick any local business website and ask:

"What does [business-website.com] do and how can they help me?"

Then ask about wellknownmcp.org:

"What does wellknownmcp.org do and how can they help me?"

You'll see the difference immediately:

Random business: Vague, confused, or wrong information
wellknownmcp.org: Specific, accurate, helpful details

The "Before and After" Reality Check

Try This With Your Own Website

Step 1: Ask ChatGPT or Claude about your website right now Step 2: Notice what they get wrong or miss completely
Step 3: Imagine if they gave perfect, accurate answers instead

Real example from a restaurant owner:

Before LLMFeed:

User: "Tell me about Tony's Pizza on Main Street"
AI: "I don't have current information about Tony's Pizza. You might want to check their website or call them directly."

After LLMFeed:

User: "Tell me about Tony's Pizza on Main Street" 
AI: "Tony's Pizza is a family-owned Italian restaurant specializing in wood-fired pizza and homemade pasta. They offer dine-in, takeout, and delivery within downtown Seattle. They're known for their authentic recipes and have gluten-free options available."

The owner's reaction: "Holy shit, that's exactly what I want people to know about my restaurant!"

Why Your Website Might Be "Invisible" to AI

Common Problems

1. Everything Important is in Images

html
<!-- AI can't read this -->
<img src="our-services-infographic.jpg">

<!-- AI can read this -->
<h2>Our Services</h2>
<ul>
  <li>Wedding Photography</li>
  <li>Corporate Events</li>
  <li>Family Portraits</li>
</ul>

2. Content Hidden Behind JavaScript

html
<!-- AI can't see this -->
<div id="services"></div>
<script>
// Services loaded with JavaScript
loadServices();
</script>

<!-- AI can see this -->
<div>
  <h2>Our Services</h2>
  <p>We provide wedding photography...</p>
</div>

3. Vague Business Language

html
<!-- Confusing to AI -->
<h1>Transforming Your Digital Journey</h1>
<p>We leverage innovative solutions...</p>

<!-- Clear to AI -->
<h1>WordPress Website Design for Small Businesses</h1>
<p>We build custom WordPress websites...</p>

Sitemap vs. LLMFeed: What's the Difference?

Traditional Sitemap (sitemap.xml)

Purpose: Tell Google which pages exist
Format: List of URLs with basic info
For: Search engine crawlers
Content example:

xml
<url>
  <loc>https://yoursite.com/about</loc>
  <lastmod>2025-01-15</lastmod>
</url>

What AI gets: Just knows the page exists, still has to guess what it's about

LLMFeed (New Approach)

Purpose: Tell AI what your site actually does
Format: Structured information about your business
For: AI agents like ChatGPT and Claude
Content example:

json
{
  "business_type": "wedding_photography",
  "services": ["ceremony_photos", "reception_photos", "engagement_sessions"],
  "coverage_area": "seattle_metro_area",
  "booking_process": "consultation_required"
}

What AI gets: Clear understanding of your business without guessing

The Key Difference

Sitemap: "Here are my pages"
LLMFeed: "Here's what I actually do and how I help people"

The Honest Reality: Where We Are vs. Where We're Going

Current Adoption (Being Transparent)

Technical foundation: Solid. All major LLMs parse LLMFeed natively
Real adoption: Early stage. Hundreds of sites, not thousands yet
Tools ecosystem: Working but limited (see our honest assessment)
Timeline: 2-3 years for mainstream adoption

Why Early Adopters Win

First-mover advantage: Ready when agents go mainstream
Low implementation cost: 15-30 minutes for basic setup
Immediate benefits: Better AI interactions starting today
Future-proofing: Positioned ahead of the curve

Bottom line: We're not pretending this is mainstream yet. But the early adopters who implement now will have significant advantages when it becomes standard.

Test the Value Yourself: Direct Evidence

The "Aha Moment" Anyone Can Verify

Don't trust our claims. Test these yourself:

Comparison Test

Ask ChatGPT: "What does [random-competitor.com] do?"
Ask ChatGPT: "What does wellknownmcp.org do?"

You'll see:

Random competitor: Vague, confused, or wrong information
wellknownmcp.org: Specific, detailed, accurate description

Industry Test

Ask Claude: "Find me good [your industry] services in [your city]"

Notice:

Which businesses get recommended accurately?
Which get described incorrectly or ignored?
Would you trust these AI recommendations?

Future Customer Experience

Ask any AI: "Compare different CRM options for small business"

Reality check: This is how your future customers will discover and evaluate businesses.

The Evidence Speaks for Itself

No fake metrics needed. The difference is immediately obvious when you test it.

The question isn't whether LLMFeed works (you can verify that yourself).
The question is: Do you want to be ready when AI-mediated discovery becomes standard?

What Early Adopters Report

Restaurant owner (anonymous feedback):

"The difference is obvious when you test it. AI used to say 'I don't have current information about your restaurant' and now it gives accurate details about our menu and hours. But honestly, most of our customers aren't using AI to find restaurants yet."

SaaS founder:

"ChatGPT now explains our product correctly instead of guessing. Hard to measure ROI when AI-driven discovery is still emerging, but it feels like future-proofing."

Local service business:

"Claude actually understands what we do now. Whether that translates to business is hard to say since people mostly still Google us directly."

Simple Steps to Make Your Site AI-Friendly

Step 1: Test Your Site with AI

Ask ChatGPT or Claude: "What does [yoursite.com] do?"

Notice what they get right and what they get wrong.

Step 2: Make Your Text Clear

Replace vague language with specific descriptions:

❌ "Innovative solutions for modern challenges"
✅ "WordPress websites for restaurants and cafes"

❌ "Transforming businesses through technology"
✅ "Online ordering systems for local restaurants"

Step 3: Add a Simple LLMFeed File

Create a file that tells AI exactly what you do:

json
{
  "feed_type": "mcp",
  "metadata": {
    "title": "Your Business Name",
    "description": "Specific description of what you do"
  },
  "data": {
    "intent": "primary_service_you_provide",
    "target_audience": "who_you_help",
    "location": "where_you_operate",
    "contact_method": "how_people_should_reach_you"
  }
}

Save this as

/.well-known/mcp.llmfeed.json

on your website.

Step 4: Test Again

Ask the AI the same question and see if the answer improved.

Why This Matters for Your Business

Better AI Recommendations

When people ask AI for recommendations in your industry, you want to be suggested accurately, not ignored or misrepresented.

Before LLMFeed:

User: "Find me a wedding photographer in Seattle"
AI: "I found several photographers in Seattle. You should contact them to see if they do weddings."

After LLMFeed:

User: "Find me a wedding photographer in Seattle"
AI: "Sarah's Photography specializes in weddings in the Seattle area. They offer ceremony, reception, and engagement packages. You can book a consultation through their website."

Reduce Customer Confusion

When AI misunderstands your business, potential customers get wrong information before they even contact you.

Future-Proof Your Website

More people are using AI to research businesses. Making your site AI-friendly now gives you an advantage as this trend grows.

Common Questions About AI Web Browsing

"Can ChatGPT see my website's design?"

No. ChatGPT only reads the text content of your pages. It can't see colors, layouts, images, or visual design elements.

"Why does Claude sometimes give outdated information about my business?"

Because Claude reads whatever text is currently on your website. If your website doesn't mention your latest services or recent changes, Claude won't know about them.

"Does Gemini browse better because it's made by Google?"

Gemini has access to Google's knowledge about websites, but it still faces the same limitation when reading new or updated content - it can only see text, not visual elements.

"Can AI see my website's images?"

AI can read "alt text" descriptions of images, but it can't actually see the images themselves. If important information is only in images, AI will miss it completely.

"How often does AI visit my website?"

AI doesn't visit your website automatically. It only visits when a user specifically asks about your site or when searching for information related to your business.

The Tools You Need

Free Tools to Test Your Site

ChatGPT: Ask "What does [yoursite.com] do?"
Claude: Ask "Analyze [yoursite.com] and explain their services"
Compare: See which AI understands your business better

Simple Tools to Create LLMFeed

Basic Generator: Fill out a form, get your LLMFeed file
Advanced Builder: More options for complex businesses
LLM-Index Generator: Create intelligent discovery hubs for your site
Ask any AI: "Help me create an LLMFeed file for my [type of business]"

How to Add the File to Your Website

Create the file: Use one of the tools above
Save as:
```
mcp.llmfeed.json
```

Upload to:

yoursite.com/.well-known/mcp.llmfeed.json

Test: Visit the URL to make sure it works

Examples by Business Type

Restaurant

json
{
  "feed_type": "mcp",
  "metadata": {
    "title": "Tony's Pizza Palace",
    "description": "Family-owned pizza restaurant in downtown Seattle"
  },
  "data": {
    "intent": "serve_authentic_italian_pizza_and_pasta",
    "cuisine_type": "italian_pizza_pasta",
    "service_options": ["dine_in", "takeout", "delivery"],
    "location": "downtown_seattle_pike_place_area",
    "special_features": ["wood_fired_oven", "family_recipes", "gluten_free_options"]
  }
}

Local Service Business

json
{
  "feed_type": "mcp",
  "metadata": {
    "title": "ABC Plumbing Services",
    "description": "24/7 emergency plumbing for residential properties"
  },
  "data": {
    "intent": "emergency_and_routine_plumbing_services",
    "service_types": ["emergency_repairs", "drain_cleaning", "water_heater_installation"],
    "coverage_area": "seattle_metro_within_25_miles",
    "availability": "24_7_emergency_service",
    "response_time": "under_2_hours_for_emergencies"
  }
}

Online Store

json
{
  "feed_type": "mcp",
  "metadata": {
    "title": "Mountain Gear Co",
    "description": "Outdoor equipment and hiking gear online store"
  },
  "data": {
    "intent": "sell_quality_outdoor_hiking_camping_equipment",
    "product_categories": ["hiking_boots", "backpacks", "camping_gear", "outdoor_clothing"],
    "target_customers": ["hikers", "campers", "outdoor_enthusiasts"],
    "shipping": "free_shipping_over_75_dollars",
    "special_services": ["gear_advice", "product_comparisons", "expert_recommendations"]
  }
}

The Ultimate Proof: Test These Websites Right Now

See the Difference Yourself

Don't just read about it - experience the difference by testing these exact queries with any AI:

Query Set 1: LLMFeed vs. Regular Websites

"Compare wellknownmcp.org capabilities versus any random business website"

What you'll notice:

wellknownmcp.org: AI gives specific, detailed, accurate information
Random business site: AI gives vague guesses or admits confusion

Query Set 2: Deep Technical Understanding

"Explain the technical implementation of LLMFeed and give me examples"

Result: AI will walk you through exactly how to implement LLMFeed on your site, with working code examples.

Why this works: The technical documentation is structured specifically for AI understanding.

Query Set 3: Business Value Assessment

"Is wellknownmcp worth my time as a business owner? Give me pros and cons."

What happens: AI gives you a balanced, informed analysis because it can access the complete context about what LLMFeed actually does and why it matters.

Query Set 4: Implementation Reality Check

"How hard is it to implement LLMFeed and what tools are available?"

Expected response: Specific tools, time estimates, difficulty levels, and step-by-step guidance - because the AI can access this information directly.

The "Competitor Test"

Try this experiment:

Pick 3 competitors in your industry
Ask AI: "What does [competitor1.com] do?"
Ask AI: "What does [competitor2.com] do?"
Ask AI: "What does [competitor3.com] do?"

Then ask yourself:

Which competitors got accurate descriptions?
Which ones got vague or wrong information?
If a potential customer asked AI for recommendations in your industry, who would get recommended accurately?

The reality: Competitors with clear, AI-readable information have a massive advantage in AI-mediated recommendations.

Challenge: Test Your Industry

Pick any of these searches and see what AI finds:

For Restaurants:

"Find me the best pizza place in [your city] that offers gluten-free options"

For Services:

"I need a plumber who does emergency service in [your area]"

For Retail:

"Where can I buy hiking boots with good customer service in [your city]?"

Notice:

Which businesses get recommended?
How accurate are the descriptions?
Would you trust these recommendations?

This is your future customer experience. AI is becoming the primary way people discover and research businesses.

What You Can Do Right Now

5-Minute Test

Open ChatGPT or Claude
Ask about your website: "What does [yoursite.com] do?"
Note what's wrong or missing
Ask about wellknownmcp.org for comparison
See the difference

15-Minute Improvement

Fix the most obvious problems on your website
Add clear descriptions of what you actually do
Put important information in text, not just images
Test again with AI

30-Minute Solution

Create a basic LLMFeed file using the tools mentioned
Upload it to your website
Test with AI again
Watch the improvement

The Bottom Line Test

Ask yourself:

If a potential customer asked ChatGPT about businesses like yours, would you be recommended accurately?
If Claude analyzed your website for someone researching your industry, would it understand what you do?
When AI becomes the primary way people discover services, will your business be visible or invisible?

The evidence is there for you to test yourself. No sales pitch needed - just try the queries above and see what happens.

What's Next: Three Paths Forward

🧠 Path 1: The Smart Shortcut (Recommended)

Time: 5 minutes
Approach: Train an AI to do the work for you

Get our universal training prompt (works on any LLM)
Ask your trained LLM: "Generate an MCP feed for my [business type]"
Deploy and test the result
Iterate with AI help as needed

Perfect for: Anyone who wants results fast with AI assistance

🛠 Path 2: Use Our Tools

Time: 30 minutes
Approach: Visual builders and validators

Try LLMFeedForge for visual building
Use our validator for testing
Add signatures for trust
Check our complete toolkit

Perfect for: Developers and agencies who want full control

⚡ Path 3: Manual Implementation

Time: 15 minutes
Approach: Copy, customize, deploy

Copy our basic template (provided in article)
Customize for your business
Upload to
```
/.well-known/mcp.llmfeed.json
```
Test with AI agents

Perfect for: DIY approach with minimal time investment

🎯 Which Path Is Right for You?

New to this? → Start with Path 1 (train an LLM)
Developer/Agency? → Path 2 (use our tools)
Just want to try it? → Path 3 (manual implementation)

All paths lead to the same result: Your site becomes properly readable by AI agents.

For the Future

As more people use AI to find businesses and services, having an AI-friendly website becomes as important as having a mobile-friendly website was 10 years ago.

The early adopters will have the advantage while everyone else is still figuring this out.

The "Convert or Lose" Reality

Here's what's happening right now:

Every day, people ask AI:

"Find me a good [your type of business]"
"What's the best [your service] in [your area]"
"Compare different [your industry] options"

If your website can't be understood by AI, you're not just invisible - you're losing business to competitors who can be understood.

The test results don't lie. Try the queries yourself and see which businesses get accurate, helpful recommendations.

Summary: The Simple Truth

How AI really browses the web:

AI can only read text, not see visual design
Different AI systems use different methods, but all have the same limitations
AI often guesses what your business does based on limited information

Why this matters:

Wrong AI descriptions can hurt your business
People increasingly use AI to research companies
Making your site AI-friendly is easier than you think

What you can do:

Test your site with AI tools
Make your text content clear and specific
Add a simple LLMFeed file to tell AI exactly what you do

Bottom line: AI web browsing isn't magic. It's actually quite limited. But understanding how it works lets you make sure AI represents your business accurately.

Resources

Test Your Website

ChatGPT: chat.openai.com
Claude: claude.ai
Ask: "What does [yourwebsite.com] do?"

Create LLMFeed Files

🧠 Train Any LLM: wellknownmcp.org/train - Universal prompt that works on any LLM
Simple Generator: wellknownmcp.org/tools/well-known
Advanced Tools: llmfeedforge.org
🧭 LLM-Index: wellknownmcp.org/tools/llm-index-explained - Intelligent discovery hubs
Examples: wellknownmcp.org/feeds

Learn More

Complete Guide: wellknownmcp.org
Developer Tools: wellknownmcp.org/sdk - Honest assessment of current state
Technical Documentation: wellknownmcp.org/spec
Community: wellknownmcp.org/join

How ChatGPT Browses the Internet: What You Need to Know (2025)