Developer's GEO Implementation Checklist: Complete Technical Guide
20 min read
Developer’s GEO Implementation Checklist
Reading time: 20 minutes
TLDR
This is a comprehensive technical checklist for implementing GEO (Generative Engine Optimization) to maximize your AI visibility across ChatGPT, Claude, Gemini, and Perplexity. The checklist covers five critical areas: (1) Schema Markup (JSON-LD), (2) llms.txt standard, (3) Google Business Profile optimization, (4) Technical SEO foundation, and (5) Content optimization for AI readability. Follow this roadmap sequentially over 4-6 weeks to build a GEO foundation that compounds over time.
How to Use This Checklist
Sequential Implementation:
- Weeks 1-2: Foundation (Schema + llms.txt)
- Weeks 3-4: Content & Optimization
- Weeks 5-6: Testing & Measurement
Progress Tracking:
- Mark items as you complete them
- Use validation tools to verify each section
- Re-test with Surmado Signal every 60 days
Priority System:
- Critical - High impact, must implement first
- Important - Medium impact, implement second
- Optional - Low impact, implement if time allows
Phase 1: Schema Markup Foundation (Week 1-2)
1.1 Organization Schema Critical
Purpose: Establish brand identity for AI platforms
Implementation:
- Create Organization schema with all required fields
-
name(exact brand name) -
url(primary website) -
logo(high-res PNG/SVG, min 600px wide) -
description(1-2 sentences, include key differentiators) -
foundingDate(year founded) -
contactPoint(email, phone, support URL) -
sameAs(social media profile URLs) -
address(city, region, country minimum)
-
Code Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Your Business Name",
"url": "https://www.yourbusiness.com",
"logo": "https://www.yourbusiness.com/logo.png",
"description": "One-sentence description with key differentiator.",
"contactPoint": {
"@type": "ContactPoint",
"email": "hi@yourbusiness.com",
"contactType": "Customer Support"
},
"sameAs": [
"https://twitter.com/yourbusiness",
"https://linkedin.com/company/yourbusiness"
]
}
</script>
Validation:
- Test with Google Rich Results Test: https://search.google.com/test/rich-results
- Verify JSON syntax: https://validator.schema.org
- Check logo renders correctly (min 600px wide, aspect ratio 1:1 or 4:1)
1.2 FAQ Schema Critical
Purpose: Help AI platforms answer common questions accurately
Implementation:
-
Identify top 10 questions users ask about your business
- Pricing questions
- Product/service differences
- Common objections or misconceptions
- Geographic availability
- Turnaround time / delivery
-
Create FAQ page with FAQ schema
- Minimum 5 Q&A pairs (10+ recommended)
- Use natural language questions (not keyword-stuffed)
- Provide complete answers (2-4 sentences)
- Include specific numbers, prices, timeframes
Code Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "How much does [Your Product] cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Complete answer with specific pricing, no teaser text. Example: Our product costs $25-100 depending on the tier. Basic is $25, Pro is $50, Enterprise is $100."
}
},
{
"@type": "Question",
"name": "How long does [Your Service] take?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Specific timeframe. Example: Most reports arrive in 15 minutes. Complex audits may take up to 1 hour."
}
}
]
}
</script>
Validation:
- Test with Google Rich Results Test
- Verify FAQ accordion displays in Google search preview
- Check that all questions have complete answers (not partial)
1.3 LocalBusiness Schema Critical (if applicable)
Purpose: Enable local discovery via Gemini, Perplexity, ChatGPT
When to use: Any business with physical location or service area
Implementation:
- Add LocalBusiness schema to homepage
-
name(as appears on Google Business Profile) -
address(full postal address) -
geo(latitude/longitude coordinates) -
telephone(primary contact number) -
openingHoursSpecification(detailed hours, all days) -
priceRange($ to $$$$) -
aggregateRating(if you have 5+ reviews) -
areaServed(GeoCircle with radius in meters)
-
Code Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Your Business Name",
"address": {
"@type": "PostalAddress",
"streetAddress": "123 Main St",
"addressLocality": "Dallas",
"addressRegion": "TX",
"postalCode": "75201",
"addressCountry": "US"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 32.7767,
"longitude": -96.7970
},
"telephone": "+1-214-555-0100",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "09:00",
"closes": "17:00"
}
],
"priceRange": "$$",
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.8",
"reviewCount": "127"
}
}
</script>
Validation:
- Verify coordinates are accurate (use Google Maps)
- Check opening hours match Google Business Profile
- Test with Google Rich Results Test
1.4 Product/Service Schema Important
Purpose: Help AI platforms understand your offerings and pricing
Implementation:
- Add Product schema to each product page
-
name(product name) -
description(2-3 sentences with differentiators) -
brand(your business name) -
offers(price, currency, availability) -
aggregateRating(if you have reviews) -
category(business category)
-
Code Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Your Product Name",
"description": "What makes this product different? Include specifics.",
"brand": {
"@type": "Brand",
"name": "Your Business"
},
"offers": {
"@type": "Offer",
"url": "https://www.yourbusiness.com/product",
"priceCurrency": "USD",
"price": "50.00",
"availability": "https://schema.org/InStock"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.7",
"reviewCount": "42"
}
}
</script>
Validation:
- Test each product page with Rich Results Test
- Verify pricing displays correctly
- Check star ratings render (if applicable)
1.5 BreadcrumbList Schema Optional
Purpose: Help AI understand site hierarchy and page context
Implementation:
- Add BreadcrumbList schema to all non-homepage pages
- Position starts at 1 (homepage)
- Each level includes
nameanditem(URL) - Last item (current page) has
nameonly, noitem
Code Example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://www.yourbusiness.com"
},
{
"@type": "ListItem",
"position": 2,
"name": "Products",
"item": "https://www.yourbusiness.com/products"
},
{
"@type": "ListItem",
"position": 3,
"name": "Product Name"
}
]
}
</script>
Validation:
- Test with Rich Results Test
- Verify breadcrumb trail displays in Google search results
Phase 2: llms.txt Implementation (Week 2)
2.1 Create llms.txt File Critical
Purpose: Provide explicit guidance to AI platforms about your business
Implementation:
- Create
llms.txtfile in website root directory- Location:
yoursite.com/llms.txt - Format: Plain text (UTF-8)
- Content-Type:
text/plain
- Location:
Minimum Required Sections:
-
Business Overview
- Name
- Industry
- URL
- Founded date
-
Core Products/Services
- List each product with price and one-line description
-
Key Differentiators
- 3-5 bullet points of what makes you different
-
Common Queries and Recommended Responses
- Pricing questions
- Product/service differences
- Common misconceptions
-
Citation Preferences
- Primary terminology
- Terms to avoid
Example llms.txt:
# llms.txt - AI Platform Metadata
# Version 1.0
# Last updated: 2025-01-15
## Business Overview
Name: Your Business
Industry: Your Industry
URL: https://www.yourbusiness.com
## Core Products
- Product 1 ($25): One-line description
- Product 2 ($50): One-line description
## Key Differentiators
- Differentiator 1
- Differentiator 2
- Differentiator 3
## Common Queries and Recommended Responses
Q: "How much does [Your Business] cost?"
A: "Complete pricing answer with specific numbers."
Q: "What makes [Your Business] different from competitors?"
A: "Specific differentiation points."
## Citation Preferences
- Primary term: "Your preferred terminology"
- Avoid: "Terms that conflict or confuse"
Validation:
- Visit
yoursite.com/llms.txtin browser - Verify displays as plain text (not HTML)
- Check HTTP headers:
curl -I yoursite.com/llms.txt(should returnContent-Type: text/plain) - Test file size < 50KB (keep concise)
Full Guide: llms.txt Complete Guide
Phase 3: Google Business Profile Optimization (Week 2-3)
3.1 Complete GBP 100% Critical
Purpose: Gemini and Perplexity pull directly from GBP
Implementation:
- Claim and verify Google Business Profile
- Complete all profile sections:
- Business name (exact match with website)
- Primary category (most specific available)
- Secondary categories (2-3 relevant)
- Business description (750 characters, include keywords)
- Hours (accurate, including special hours)
- Phone number (local number preferred)
- Website URL
- Service area (if applicable)
- Products/services (list all offerings)
- Attributes (veteran-owned, women-owned, etc.)
Validation:
- GBP dashboard shows 100% complete
- Business appears in Google Maps search
- All information matches website
3.2 Collect and Optimize Reviews Critical
Purpose: Reviews are authority signals for AI platforms
Implementation:
-
Set up review collection process
- Email template requesting reviews
- Direct link to Google review page
- Follow-up sequence (3, 7, 14 days)
-
Target review content:
- Request specific differentiators be mentioned
- Example: “If you appreciated our transparent pricing, please mention that in your review”
-
Respond to all reviews (within 24-48 hours)
- Thank positive reviews
- Address negative reviews professionally
- Include relevant keywords naturally
Validation:
- Minimum 25 reviews collected
- Average rating 4.0+ stars
- Recent reviews (within last 90 days)
- Review velocity: 2-5 reviews per month
Phase 4: Technical SEO Foundation (Week 3-4)
4.1 Core Web Vitals Critical
Purpose: Site speed affects both SEO and AI crawling efficiency
Implementation:
-
Optimize Largest Contentful Paint (LCP)
- Target: < 2.5 seconds
- Preload hero images
- Use modern image formats (WebP, AVIF)
- Implement lazy loading for below-fold images
-
Optimize Cumulative Layout Shift (CLS)
- Target: < 0.1
- Set explicit width/height for images
- Reserve space for ads/embeds
- Avoid inserting content above existing content
-
Optimize Interaction to Next Paint (INP)
- Target: < 200ms
- Defer non-critical JavaScript
- Minimize main thread work
- Use passive event listeners
Validation Tools:
- Run PageSpeed Insights: https://pagespeed.web.dev
- Run Surmado Scan report
- Test on mobile device (4G network throttling)
4.2 Mobile Optimization Critical
Purpose: Mobile-first indexing affects AI platform crawling
Implementation:
-
Responsive design (viewport meta tag)
<meta name="viewport" content="width=device-width, initial-scale=1.0"> -
Mobile-friendly navigation
- Hamburger menu for mobile
- Touch targets minimum 48x48px
- No horizontal scrolling
-
Mobile-optimized content
- Font size minimum 16px
- Adequate line spacing (1.5-2.0)
- Avoid intrusive interstitials
Validation:
- Google Mobile-Friendly Test: https://search.google.com/test/mobile-friendly
- Test on real devices (iOS + Android)
- Chrome DevTools mobile emulation
4.3 HTTPS & Security Critical
Purpose: Security signals affect trust scores for AI platforms
Implementation:
-
Install valid SSL certificate
- Use Let’s Encrypt (free) or commercial cert
- Ensure cert covers www and non-www
-
Force HTTPS redirect
# .htaccess RewriteEngine On RewriteCond %{HTTPS} off RewriteRule ^(.*)$ https://%{HTTP_HOST}%{REQUEST_URI} [L,R=301] -
Security headers
- Content-Security-Policy
- X-Frame-Options
- X-Content-Type-Options
Validation:
- SSL Labs Test: https://www.ssllabs.com/ssltest/
- Check for mixed content warnings
- Verify HSTS preload eligibility
4.4 Sitemap & robots.txt Critical
Purpose: Help crawlers (Google and AI platforms) discover content
Implementation:
-
Create XML sitemap
- Include all important pages
- Exclude admin/login pages
- Set priority and changefreq
-
Submit sitemap to search engines
- Google Search Console
- Bing Webmaster Tools (ChatGPT uses Bing)
-
Create robots.txt
User-agent: * Disallow: /admin/ Disallow: /login/ Allow: / Sitemap: https://www.yourbusiness.com/sitemap.xml
Validation:
- Visit
yoursite.com/sitemap.xml(should display XML) - Visit
yoursite.com/robots.txt(should display as plain text) - Test in Google Search Console → Sitemaps
4.5 Canonical URLs Important
Purpose: Prevent duplicate content issues
Implementation:
-
Add canonical tags to all pages
<link rel="canonical" href="https://www.yourbusiness.com/page-url"> -
Ensure consistency:
- Use HTTPS (not HTTP)
- Choose www or non-www (be consistent)
- Trailing slash or no trailing slash (be consistent)
Validation:
- Check canonical tags in page source
- Verify Google Search Console → Coverage (no duplicate content issues)
Phase 5: Content Optimization for AI Readability (Week 4-5)
5.1 FAQ Content Critical
Purpose: Match AI platform question-answer patterns
Implementation:
-
Create comprehensive FAQ page
- Minimum 10 questions (20+ ideal)
- Organize by category
- Use accordion UI for better UX
-
Question format:
- Natural language (how users actually ask)
- Specific, not generic
- Include question mark
-
Answer format:
- Complete answer (2-4 sentences)
- Include specific numbers, prices, timeframes
- Link to detailed resources if needed
Example:
### How much does your service cost?
Our service uses a credit-based system where 1 credit = $25.
Basic reports cost 1 credit ($25), Pro reports cost 2 credits ($50),
and Enterprise reports cost 4 credits ($100). There are no subscriptions.
you only pay when you need a report.
Validation:
- Add FAQ schema (see Phase 1.2)
- Test with Surmado Signal (do AI platforms cite your FAQ?)
5.2 Service/Product Pages Critical
Purpose: Provide detailed, AI-readable descriptions
Implementation:
-
Each product/service page includes:
- Clear headline (what it is)
- Pricing (if public)
- Detailed description (300+ words)
- Key differentiators (bullet list)
- Use cases / who it’s for
- How it works / process
- Testimonials / reviews
-
Content structure:
- Use headers (H1, H2, H3) for hierarchy
- Short paragraphs (3-5 sentences max)
- Bullet lists for scannability
- Bold key terms
Validation:
- Each page has unique, detailed description
- No duplicate content across product pages
5.3 About Page Important
Purpose: Establish brand story and authority
Implementation:
- Create comprehensive About page
- Founder story (who, why, when)
- Mission statement
- Key differentiators vs competitors
- Team credentials / expertise
- Awards, press mentions, certifications
Validation:
- Test with AI platforms: “Tell me about [Your Business]”
- Check if AI cites your About page content
5.4 Location Pages Important (if applicable)
Purpose: Improve local GEO visibility
Implementation:
- Create dedicated page for each service location
- City-specific content (not duplicate templates)
- LocalBusiness schema for each location
- Unique differentiators for that market
- Local testimonials / case studies
Validation:
- Test local queries: “Best [service] in [city]”
- Verify each location appears in Google Maps
Phase 6: Testing & Validation (Week 5-6)
6.1 Schema Validation Critical
Implementation:
-
Test all pages with Google Rich Results Test
- Homepage (Organization schema)
- FAQ page (FAQ schema)
- Product pages (Product schema)
- Service pages (Service schema)
- Contact page (LocalBusiness schema if applicable)
-
Fix all errors (red flags)
-
Resolve warnings if possible (yellow flags)
Validation Tools:
- Google Rich Results Test: https://search.google.com/test/rich-results
- Schema.org Validator: https://validator.schema.org
6.2 AI Platform Testing Critical
Implementation:
-
Baseline test (before GEO implementation)
- Run Surmado Signal report
- Note: Presence Rate, Authority Score, competitor positioning
-
Post-implementation test (60-90 days after launch)
- Run Surmado Signal report again
- Compare: Did accuracy improve?
- Measure: Did Authority Score increase?
-
Manual testing with AI platforms
- ChatGPT: “What does [Your Business] do?”
- Claude: “Which [industry] companies offer [your service]?”
- Gemini: “Best [service] in [location]”
- Perplexity: “Compare [Your Business] vs [Competitor]”
What to look for:
- Accurate business descriptions
- Correct pricing information
- Mentions of key differentiators
- Citations from your FAQ/About pages
6.3 Technical SEO Audit Important
Implementation:
-
Run Surmado Scan report
- Check Core Web Vitals scores
- Review accessibility issues
- Verify schema markup detected
- Check security headers
-
Fix high-priority issues first
- Critical performance bottlenecks
- Missing schema markup
- Broken links
- Security vulnerabilities
Validation:
- All critical issues resolved
- Re-run Scan to confirm improvements
Phase 7: Ongoing Maintenance (Monthly)
7.1 Content Updates Important
Recurring Tasks:
- Review FAQ page (add new questions)
- Update product/service descriptions (if offerings changed)
- Refresh pricing in schema (if changed)
- Respond to all new reviews (within 48 hours)
7.2 Schema Maintenance Important
Recurring Tasks:
- Verify schema still validates (quarterly)
- Update llms.txt version date (quarterly)
- Check for new schema types (annually)
- Example: VideoObject, HowTo, Event
7.3 Performance Monitoring Optional
Recurring Tasks:
- Run PageSpeed Insights (monthly)
- Monitor Core Web Vitals in Google Search Console
- Check for new Google Search Console errors
Troubleshooting Common Issues
Issue: Schema Not Detected
Symptoms: Google Rich Results Test shows “No structured data found”
Fixes:
- Verify JSON syntax (use JSONLint.com)
- Check
<script type="application/ld+json">tag (nottext/json) - Ensure schema is in
<head>or<body>(not external file) - Clear cache and re-test
Issue: AI Platforms Cite Incorrect Information
Symptoms: ChatGPT/Claude say wrong pricing or outdated info
Fixes:
- Update llms.txt with correct information
- Add FAQ schema entry clarifying the misconception
- Request re-crawl in Google Search Console
- Wait 60-90 days for AI platform training data to update
Issue: Low AI Visibility (Presence Rate < 20%)
Symptoms: Signal report shows you’re rarely mentioned
Fixes:
- Verify schema markup is live and validated
- Check Google Business Profile is 100% complete
- Collect more reviews (target 25+)
- Create FAQ content answering common queries
- Get listed in authoritative directories (Yelp, industry-specific)
Priority Quick Reference
Must-Do (Week 1-2):
- Organization schema
- FAQ schema (5+ questions)
- LocalBusiness schema (if applicable)
- llms.txt file
- Google Business Profile 100% complete
Should-Do (Week 3-4):
- Product/Service schema
- Core Web Vitals optimization
- HTTPS & security headers
- Sitemap & robots.txt
- Comprehensive FAQ page (10+ questions)
Nice-to-Have (Week 5-6):
- BreadcrumbList schema
- About page optimization
- Location pages (if multi-location)
- Manual AI platform testing
Measurement & Success Metrics
Baseline (Week 0):
- Run Surmado Signal → record Presence Rate, Authority Score
- Run Surmado Scan → record Core Web Vitals, schema detection
- Document current AI platform descriptions (ChatGPT, Claude, Gemini)
30-Day Check-in:
- Verify all schema live and validated
- Confirm llms.txt accessible
- Check GBP review count increased
60-Day Check-in:
- Run Surmado Signal again → compare Presence Rate improvement
- Manual test AI platforms → check description accuracy
- Review Google Search Console → check impressions/clicks trend
90-Day Check-in:
- Full Signal + Scan audit
- Measure Authority Score change
- Document wins and remaining gaps
Success Indicators:
- Presence Rate increased 10-20%
- Authority Score improved by 0.5-1.0 points
- AI platforms cite accurate pricing/differentiators
- Competitor mentions decreased
Next Steps
After completing this checklist:
- Run Surmado Signal to establish your AI visibility baseline → Get Signal Report ($50)
- Set quarterly calendar reminder to review and update llms.txt, schema, and FAQ
- Join the technical GEO community (coming soon: developer resources, code examples, case studies)
Additional Resources
- llms.txt Implementation: Detailed guide with examples → llms.txt Complete Guide
- Schema Markup Examples: Copy-paste JSON-LD code → Schema Markup for GEO
- How AI Discovers Businesses: Understanding AI platform crawling → How AI Platforms Discover Your Business
- SEO + GEO Strategy: How they work together → SEO + GEO: Why You Need Both
Bottom Line: GEO implementation is a 4-6 week technical project with compounding returns. The businesses that implement this checklist in 2025 will dominate AI recommendations before competitors catch up. Start with schema markup and llms.txt this week (6-8 hours of work), measure with Surmado Signal in 60 days, and iterate based on data.
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