Extract your entire site to create an AI assistant that truly understands your company - automatically
Last month, I had an epiphany. We were spending hours briefing new team members, answering the same customer questions, and trying to maintain consistent messaging across channels. Meanwhile, all the answers were sitting right there on our website - in our docs, blogs, and product pages.
What if we could give AI perfect knowledge of everything we've ever published?
Using Browse AI's sitemap extraction robots combined with our full text extractor in an automated workflow, I built exactly that. In just 2 hours, I created what I call our "company brain" - an AI knowledge base containing every word from all 1,247 pages of our website.
Here's how you can build your own.
Why your website is the perfect AI training data
Your website is a goldmine of institutional knowledge:
- Product documentation - every feature explained
- Blog posts - your brand voice and expertise
- Case studies - how you solve customer problems
- About pages - your mission and values
- FAQs - answers to common questions
- Legal pages - policies and procedures
But this knowledge is scattered across hundreds or thousands of pages. AI can't access it unless you extract and organize it first.
The complete setup guide: from sitemap to AI knowledge base
Step 1: Find your website's sitemap
Most websites have sitemaps at standard locations:
- Try: yoursite.com/sitemap.xml
- Or: yoursite.com/sitemap_index.xml
- Check: yoursite.com/robots.txt (often lists sitemap location)
Can't find it? Use the pro method:
- Use our Google search results robot
- Search: site:yoursite.com filetype:xml sitemap
- Extract results to find all XML files
Step 2: Choose the right sitemap robot
Browse AI offers two sitemap robots:
For sites with multiple sitemaps (common for large sites):
- Use the sitemap index extractor
- This finds all child sitemaps from your main index
For single sitemap files:
- Use the URL set extractor
- Extracts all individual page URLs
Start with the index extractor - if you only have one sitemap, it'll still work perfectly.
Step 3: Run the extraction and review
After running the sitemap robot, you'll see:
- Total number of URLs (I was surprised to find 1,247!)
- URL structure and organization
- Last modified dates
- Page priorities
What to look for:
- Are all your important pages included?
- Any pages that shouldn't be extracted (admin, customer data)?
- Is your blog/documentation included?
Step 4: Create the full text extraction robot
Now we'll extract actual content:
- Go to the full text & screenshot extractor
- It's already pre-trained for any webpage
- This extracts:
- Complete text content
- Full page screenshots
Step 5: Build the automated workflow
This connects everything:
- Go to Workflows in Browse AI
- Create new workflow
- Select "Robot A: Sitemap URL extractor" and "Robot B: Full text and screenshot extractor"
- Set trigger: "When sitemap monitor finds new/updated URLs"
- Add action: "Run full text extractor on each URL"
- (Optional) Configure output: Send to Google Sheets/Airtable
The workflow automatically processes every single page from your sitemap.
Step 6: Run and create your knowledge base
Click run and watch as Browse AI:
- Processes each URL from your sitemap
- Extracts complete text from every page
- Organizes everything in your chosen format
Sample output structure:
URL | Page Type | Title | Full Text | Last Modified | Headers
----|-----------|-------|-----------|---------------|--------
/docs/getting-started | Documentation | Getting Started Guide | Complete guide text... | 2024-01-20 | H1, H2s...
/blog/new-features | Blog | Announcing New Features | Full blog content... | 2024-01-19 | Headers...
/pricing | Product | Pricing Plans | All pricing details... | 2024-01-15 | Structure...
My 1,247 pages were fully extracted in under 2 hours. Manual copy-paste would've taken weeks.
Turning your website into an AI powerhouse
Creating your AI assistant
Once you have your knowledge base, upload it to your preferred AI:
For Claude:
- Create a new project
- Upload your knowledge base as an artifact
- Now Claude knows everything about your business
For ChatGPT:
- Create a custom GPT
- Upload your knowledge base
- Set instructions for how to use it
For API integration:
- Use your knowledge base as context
- Include relevant sections with each query
- Build custom tools for your team
Game-changing use cases I use daily
Marketing content creation:
"Using our knowledge base, write a blog post about [topic] that:
- Matches our brand voice exactly
- References relevant features we offer
- Links to appropriate documentation
- Maintains our SEO keyword strategy"
Customer support excellence:
"Customer asks: [question]
Search the knowledge base and provide:
- Direct answer with steps
- Links to relevant documentation
- Related articles they might need"
Sales enablement:
"Create a comparison between our Enterprise plan and [competitor]:
- Use only features we actually have (from knowledge base)
- Include accurate pricing
- Reference relevant case studies"
Employee onboarding:
"Create a quiz for new hires covering:
- Our main product features
- Company values and mission
- Common customer questions
- Basic troubleshooting"
The weekly AI analysis ritual
Every Monday, I use our updated knowledge base for strategic analysis:
Content audit:
"Analyze all our documentation and identify:
1. Outdated information (hasn't been updated in 6+ months)
2. Inconsistencies between pages
3. Missing topics customers ask about
4. SEO opportunities"
Voice consistency check:
"Compare our last 20 blog posts with our brand guidelines.
Flag any inconsistencies in:
- Tone and voice
- Terminology usage
- Formatting standards"
Knowledge gaps:
"Based on our FAQ and support docs, what are the top 10 topics we should document better?"
Advanced techniques for maximum value
Auto-updating knowledge base
Set your workflow to run weekly:
- Monday: Extract fresh sitemap.
- Compare with last week's version.
- Extract only new/changed pages.
- Append to knowledge base.
- Your AI always has current information.
Multi-language support
For global teams:
- Extract all language versions.
- Create separate knowledge bases per language.
- AI can now support customers in any language.
Department-specific assistants
Create focused knowledge bases:
- Sales AI: Product pages, pricing, case studies.
- Support AI: Documentation, FAQs, troubleshooting.
- Marketing AI: Blog posts, brand guidelines, campaigns.
- HR AI: Policies, handbooks, benefits info.
Start building your AI employee today
The future isn't AI replacing humans - it's humans with AI assistants that truly understand your business. Here's your quickstart:
- Sign up for Browse AI if you haven't already.
- Find your sitemap (usually yoursite.com/sitemap.xml).
- Run the sitemap extractor - see how many pages you have.
- Create the workflow with text extraction.
- Let it run while you grab coffee (I require a lot of coffee).
- Upload to AI and start asking questions.
The entire setup takes less than an hour. The value lasts forever.
Your competitive advantage starts now
Every company is experimenting with AI, but most are using generic models that know nothing about their specific business. By creating a comprehensive knowledge base from your website, you're giving AI the context it needs to be genuinely helpful.
At Browse AI, this workflow has transformed how we work:
- Every employee has instant access to all company knowledge.
- Our content maintains perfect consistency.
- Customer support is faster and more accurate.
- New features are documented once and known everywhere.
While competitors prompt generic AI with generic results, you'll have an AI that truly knows your business inside and out.
Build your AI knowledge base today →
As Head of Marketing at Browse AI, I discovered that the secret to effective AI isn't better prompts - it's better context. This workflow gave our AI complete knowledge of our business in just 2 hours. Join 500,000+ users who are building smarter with Browse AI.