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Developer's GEO Implementation Checklist: Complete Technical Guide

20 min read

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:


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 name and item (URL)
    • Last item (current page) has name only, no item

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.txt file in website root directory
    • Location: yoursite.com/llms.txt
    • Format: Plain text (UTF-8)
    • Content-Type: text/plain

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.txt in browser
  • Verify displays as plain text (not HTML)
  • Check HTTP headers: curl -I yoursite.com/llms.txt (should return Content-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:


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:


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:


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:


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 (not text/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:

  1. Run Surmado Signal to establish your AI visibility baseline → Get Signal Report ($50)
  2. Set quarterly calendar reminder to review and update llms.txt, schema, and FAQ
  3. Join the technical GEO community (coming soon: developer resources, code examples, case studies)

Additional Resources


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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