Make AI See, Understand,
and Recommend Your Website
As ChatGPT, Perplexity, and Gemini become the new generation of search portals, is your website ready?
We help enterprises build AI search engine-friendly website architecture to ensure continued visibility in the AI era
How AI Crawlers Read Websites
AI crawlers are automated programs used by AI search engines like ChatGPT and Perplexity to collect web page information, operating fundamentally differently from traditional Googlebots. Traditional crawlers aim to build indexes, recording keywords, link structures, and page rankings; AI crawlers aim to "understand content semantics" — they need to grasp what a page is saying, how credible the information is, and the logical relationships between content. Major AI crawlers include OpenAI's GPTBot, Apple's Applebot-Extended, and Common Crawl's CCBot. Websites can control which AI crawlers are allowed access via robots.txt, but completely blocking AI crawlers means giving up the opportunity to appear in AI search results.
Why Can't Traditional Websites Be Recommended by AI Search Engines?
AI search-friendly websites use structured data markup, semantic HTML, and server-side pre-rendering technology to enable AI crawlers to correctly understand, index, and recommend website content, effectively improving brand citation rates and visibility in generative search results.
Even if your website ranks first on Google, AI search engines may not be able to find you at all
| Comparison | AI Search-Friendly Website | Non-Friendly Website |
|---|---|---|
| AI Discoverability | AI crawlers fully index, content is actively recommended | AI crawlers cannot read, brand is invisible in AI search |
| Structured Data | Complete Schema.org markup, AI precisely interprets semantics | Lacks markup, AI cannot identify content types and relationships |
| Content Format | Clear heading hierarchy, Q&A structure, listed key points | Long paragraphs, lacks structure, AI struggles to extract key points |
| AI Citation Rate | High citation rate, becomes a reliable source for AI answers | Very low citation rate, competitors are prioritized for recommendation |
References: Google Search Central Official Documentation、Schema.org Structured Data Technical Documentation
Problem 1: AI Cannot See
Website uses JavaScript frameworks (like React, Vue) without server-side rendering (SSR), causing AI crawlers to see only blank pages
Real Case:
A SaaS company's website ranked in the top three on Google, but wasn't mentioned at all in ChatGPT searches. Investigation revealed: AI crawlers only saw the text "Loading..."
Problem 2: AI Cannot Understand
Lacks structured data markup (Schema.org), AI cannot understand the meaning, relevance, and importance of content
Real Case:
An e-commerce website had complete product information, but AI misidentified "product descriptions" as "user reviews," causing incorrect information to appear in recommendations
Problem 3: AI Does Not Trust
Slow website speed, poor mobile experience, insufficient security — AI judges it as a low-quality source and declines to cite it
Real Case:
A professional blog had quality content, but because pages took over 5 seconds to load and lacked HTTPS, AI prioritized citing faster but shallower competitors
Result: Your Potential Customers Are Being Lost to Competitors
When users ask AI "recommend a Taiwan XXX service provider," your brand is not on the recommendation list. Even if your product is better and priced more competitively, AI simply cannot see your advantages.
How to Build an AI Search-Friendly Website?
From structured data markup, semantic content architecture, to server-side pre-rendering — three core optimizations let AI fully see, correctly understand, and prioritize recommending your website.
Schema Structured Data Markup
Help AI precisely understand the meaning and context of website content
Our Schema Markup Services
Organization Schema
Mark company name, logo, contact information, and social media to build brand identity
Product / Service Schema
Mark product specifications, pricing, reviews, and inventory status to provide complete information
Article / BlogPosting Schema
Mark author, publication date, and article topic to enhance content credibility
FAQ / HowTo Schema
Mark frequently asked questions and operation steps to directly answer AI user queries
Actual Schema Example
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "約瑟夫智匯",
"alternateName": "Joseph Intelligence",
"description": "AI 搜尋引擎優化專家",
"url": "https://joseph-intelligence.com",
"logo": "https://joseph-intelligence.com/logo.png",
"contactPoint": {
"@type": "ContactPoint",
"telephone": "0800-000-740",
"contactType": "customer service"
},
"sameAs": [
"https://www.linkedin.com/company/josephintelligence",
"https://www.facebook.com/josephintelligence.page",
"https://www.instagram.com/joseph.studio",
"https://www.youtube.com/@josephstudio836",
"https://lin.ee/QVflofD"
]
}How AI Uses This Data:
- • Confirm brand name and correct spelling
- • Understand the company's primary business and services
- • Find official contact information and social accounts
- • Integrate this information into AI answers
Actual Results: Taiwan B2B Software Company
Before optimization:
When users asked "recommend Taiwan CRM systems," ChatGPT only mentioned international brands, with no mention of this company
After optimization:
After deploying comprehensive Schema markup, AI can correctly identify company information, product features, and client reviews. Now listed by AI as "Taiwan's top local CRM choice"
AI-Optimized Content Architecture
Create content formats that AI can easily extract and cite
Content Optimization Focus
Clear Heading Hierarchy
H1 → H2 → H3 clearly structured, AI can quickly grasp content architecture and key points
Concise Paragraphs and Lists
Using short paragraphs, bullet points, and numbered lists to make it easy for AI to extract key information
Explicit Q&A Structure
Presenting common questions in Q&A format so AI can directly cite answers for users
Rich Contextual Information
Providing complete background, data sources, and update dates to improve AI trust in content
Content Architecture Comparison
AI-Unfriendly Content:
"Our company offers various digital marketing services, including but not limited to SEO, SEM, social media management, etc. Please contact us to learn more..."
AI-Friendly Content:
Joseph Intelligence's Core Services:
- • AI Search Engine Optimization (GEO): Improve visibility on ChatGPT and Perplexity：
- • Schema Structured Data: Comprehensive markup, AI correctly understands：
- • Technical SEO: SSR, performance optimization, Core Web Vitals：
Our Content Optimization Process:
Content Audit
Analyze AI-friendliness of existing content
Structure Reorganization
Adjust heading, paragraph, and list formats
Information Enhancement
Add context and data sources
AI Testing
Verify AI can correctly extract content
Comprehensive Technical Optimization
Ensure AI crawlers can smoothly access and trust your website
Server-Side Rendering (SSR)
- Complete HTML pre-rendering
- AI crawlers read content directly
- Supports Next.js and Nuxt.js
Performance Optimization
- LCP < 2.5 seconds
- FID < 100 milliseconds
- CLS < 0.1
Security & Trust
- HTTPS encryption
- Mobile-friendly
- Accessibility standards (WCAG)
Complete Technical Inspection Items (Included in Free Health Check)
Crawler Accessibility
- • robots.txt configuration
- • sitemap.xml completeness
- • Internal link structure
- • URL canonicalization
Rendering Method
- • SSR/SSG status
- • JavaScript dependency level
- • HTML semantic structure
- • Meta tag completeness
Performance Metrics
- • Core Web Vitals
- • Page load speed
- • Image optimization
- • Caching strategy
Mobile Experience
- • Responsive design
- • Touch-friendliness
- • Font size readability
- • Button spacing
"If a search engine can't render your JavaScript, your content doesn't exist for it. Ensuring server-side rendering or pre-rendering is the foundation for websites to be discoverable by AI."
The Impact of Semantic HTML on AI Comprehension
Semantic HTML refers to using HTML tags with clear meaning to mark web page content — for example, using <article> for article bodies, <nav> for navigation menus, <time> for dates and times, and <cite> for citation sources. Compared to wrapping all content in generic <div> tags, semantic tags allow AI to clearly identify what is body text, what is navigation, and what is supplementary information. This is like helping AI "read" the layout of a webpage — it knows where the heading is, where the body text is, and where the citation sources are, rather than facing an undifferentiated mass of text blocks. W3C (World Wide Web Consortium) has strongly promoted semantic tags since HTML5, which have now become a basic standard in modern web development.
What Is the Development Process for an AI Search-Friendly Website?
The development process is divided into three phases: current status diagnosis and strategy planning, technical implementation and content optimization, and monitoring, tracking, and continuous optimization, ensuring the website meets AI search best practices.
Website Health Check Diagnosis
Comprehensive detection of the website's AI-friendliness, identifying all issues affecting AI crawling and comprehension
Technical Architecture Analysis
SSR/CSR, performance, crawler accessibility
Structured Data Detection
Schema markup completeness and accuracy
Content Quality Assessment
AI readability, information completeness
Competitor Comparison
Industry benchmark analysis and gap identification
Deliverables:
Comprehensive diagnostic report + optimization priority recommendations + estimated results analysis
Comprehensive Improvement Implementation
Based on diagnostic results, systematically executing Schema, content, and technical optimizations across three dimensions
Schema Markup Deployment
Complete markup and testing for all pages
Content Restructuring Optimization
Heading, paragraph, and list structure adjustment
Technical Architecture Upgrade
SSR implementation, performance optimization, security hardening
AI Test Validation
Multi-platform AI crawl and comprehension testing
Deliverables:
Optimized website + Schema documentation + technical specification + test report
Results Verification & Tracking
Continuously monitoring AI citation rates and website performance to ensure optimization results meet expectations
AI Citation Monitoring
ChatGPT and Perplexity citation tracking
Traffic Analysis Reports
Organic traffic and brand search volume changes
Technical Performance Tracking
Core Web Vitals continuous monitoring
Continuous Optimization Recommendations
Monthly improvement directions and new opportunities
Deliverables:
Monthly performance report + AI citation analysis + optimization recommendation list
Complete Process Duration: 4-8 weeks (depending on website scale)
Real Results, Data Speaks
Already helped 50+ enterprises successfully improve AI search visibility
Taiwan Health Supplement E-commerce
Monthly Revenue NT$ 20 million
Performance Data:
Key Optimizations:
- • Next.js SSR refactoring, AI crawlers can fully read product information
- • Deployed Product Schema marking ingredients, effects, and reviews
- • Created "Health Supplement Buying Guide" series content, AI citation rate 68%
Enterprise Cloud Services Provider
Annual Revenue NT$ 50 million
Performance Data:
Key Optimizations:
- • Technical documentation structuring: clear headings, code examples, FAQ format
- • HowTo Schema markup, AI can directly cite operation steps
- • Created "Cloud Service Selection Guide," becoming AI's preferred recommendation source
Why Choose Joseph Intelligence?
Taiwan's earliest team focused on AI search engine optimization
Technology Leadership
Began researching AI search engines in 2023, accumulating extensive practical experience and proprietary methodology
Data-Driven
Weekly monitoring of AI citation rates and traffic changes, using data to validate optimization results
Customized Service
Tailoring the most suitable AI optimization strategy based on industry characteristics and goals
Results Guarantee
Committed to improving AI citation rates by 100% within 3 months, otherwise extend service for free
Frequently Asked Questions
Common questions about AI search-friendly website development
Q1: My website already has SEO. Do I still need AI search optimization?
Yes. Traditional SEO targets Google search result rankings, while AI search optimization targets content citation by AI engines like ChatGPT and Perplexity. They use different evaluation criteria: AI places greater emphasis on content structuring (Schema), readability, and completeness. Even if you rank first on Google, AI may not recommend you if it can't correctly crawl or understand your content. Good SEO is the foundation, but AI optimization requires additional technical and content adjustments.
Q2: What types of websites most need AI search optimization?
The following types particularly need it:
- B2B Service Providers: Potential clients frequently use AI to search for "recommended XXX service providers"：
- E-commerce Brands: Consumers use AI to compare products and check reviews：
- Professional Services (Legal, Accounting, Medical): AI is the new professional consultation portal：
- SaaS Software: Technical documentation needs to be correctly understood and cited by AI：
Q3: How long after optimization will results be visible?
Based on the optimization items:
- 1-2 weeks: Schema markup takes effect, AI begins correctly identifying content：
- 1-2 months: Content optimization shows results, AI citation rates noticeably improve：
- 3-4 months: Technical optimization fully takes effect, traffic and conversion rates significantly grow：
- 6+ months: Establish strong AI citation advantages, become the industry's first-choice recommendation：
Q4: What is the approximate cost and what services are included?
Costs vary based on website scale and requirements, and we offer flexible plan choices. Includes: comprehensive website diagnosis, Schema markup deployment, content structure optimization, technical architecture upgrade (if SSR refactoring is needed), 3-month performance tracking and continuous optimization. We provide free preliminary diagnosis, first evaluating your website's status and expected results, then providing a customized quote. Book a free consultation now to learn about the most suitable plan for you.