GeoPDP
Evaluate and fix eCommerce Product Detail Pages for AI Optimization compliance
Get a comprehensive 0-100 score indicating how well your product pages are optimized for AI-driven search engines, retrieval systems, and conversational AI. Then use our automated healing plugins to fix detected gaps and improve your compliance score.
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Across 6 categories: Structured Data, Visible Content, Semantic HTML, Product Relationships, Stability & Integrity, and Compliance & Trust.
Real-time Analysis
Watch your analysis progress in real-time with detailed assessment execution feedback and scoring.
AI-Powered Insights
Multi-provider AI analysis (Gemini, GPT-5, Llama) with intelligent fallback for reliable results.
The AI Revolution is Here
Traditional SEO is evolving. AI-powered search engines are changing how customers discover and evaluate products.
SEO is Dying
Traditional keyword stuffing and link schemes are obsolete. AI engines see through manipulative tactics and prioritize genuine, structured content that serves real user needs.
AI Search Dominance
ChatGPT, Gemini, and Claude are becoming the new search engines. Voice assistants, shopping bots, and AI agents need structured, factual data to recommend your products effectively.
GEO is Essential
AI Optimization ensures your products are discoverable by intelligent systems. Clean data, semantic markup, and structured information become your competitive advantage.
The Shift is Happening Now
Companies optimizing for AI today will dominate tomorrow's search results. Don't wait until your competitors have already adapted to the AI-first world.
Sniffer
Detect GEO compliance gaps in your eCommerce product pages
Scan your product detail pages to identify optimization opportunities for AI-driven search engines, retrieval systems, and conversational AI.
Gap Detection Engine
Identifies missing structured data, broken links, and content inconsistencies
Instant Compliance Score
Get your 0-100 GEO compliance rating in under 3 minutes
AI Gap Analysis
Multi-model AI detects semantic inconsistencies and optimization opportunities
Analyze Product Page
Healer
Automated compliance fixing plugins for your eCommerce platform
How to Use GeoPDP
The Search Revolution
We're experiencing the biggest shift in how people find products since Google's creation. AI chatbots are becoming the new search engines.
How AI Chatbots Find & Recommend Your Products
- Customer asks: "What's the best wireless headphones under $200?"
- AI analyzes: ChatGPT, Claude, or Gemini scans millions of product pages in seconds
- AI evaluates: Structured data, specifications, reviews, and factual accuracy
- AI recommends: Only products with clear, trustworthy, machine-readable information
GEO-Optimized Pages
- Get recommended by AI assistants
- Higher visibility in AI responses
- Trusted by intelligent systems
- Better customer discovery
Non-Optimized Pages
- Ignored by AI systems
- Poor data quality signals
- Competitors get recommended instead
- Lost sales opportunities
The End of an Era
The SEO tactics that worked for 20+ years are becoming obsolete as AI takes over search.
What's Dying
- Keyword Stuffing: AI sees through artificial keyword density
- Link Manipulation: AI values content quality over link quantity
- Gaming Rankings: AI can't be tricked by traditional ranking tactics
- Content Farms: AI prioritizes authentic, useful information
- Technical Tricks: AI focuses on user value, not technical manipulation
What's Rising
- Structured Data: Machine-readable product information
- Factual Accuracy: Trustworthy, verifiable product details
- Semantic Markup: Clear content meaning for AI systems
- Data Consistency: Aligned information across all sources
- User Intent: Content that genuinely serves customer needs
The Numbers Don't Lie
- 65% of consumers now use AI assistants for shopping research
- AI-recommended products see 40% higher conversion rates
- Traditional search traffic has declined 23% as AI adoption grows
- E-commerce sites with GEO optimization outperform others by 3x
Definition
GEO (Generative Engine Optimization) is the practice of structuring your product pages so that AI systems can easily understand, evaluate, and recommend your products to customers.
Why GEO Compliance Matters
AI Discovery
AI systems can find and understand your productsCustomer Reach
More customers discover your products through AI recommendationsCompetitive Edge
Stay ahead of competitors who haven't adaptedThe GEO Advantage
Higher Recommendation Rates
AI chatbots prefer to recommend products with clear, structured information. GEO-compliant pages are 5x more likely to be suggested to customers.
Better Product Understanding
AI systems can accurately understand your product features, pricing, and benefits, leading to more relevant customer matches.
Faster Indexing
Structured data allows AI systems to quickly process and categorize your products, reducing time-to-market for new listings.
Increased Sales
Products optimized for AI see higher conversion rates because they're matched to customers with genuine purchase intent.
The Bottom Line
GEO isn't just about being technically correct—it's about being discoverable, trustworthy, and recommendable in an AI-driven marketplace. Companies that optimize for AI today will dominate tomorrow's sales.
Your GEO compliance score (0-100) indicates how well your product pages are optimized for AI-driven systems like ChatGPT, Claude, Gemini, and voice assistants.
- 90-100: Fully GEO Compliant - Excellent optimization for AI discovery
- 80-89: Mostly GEO Compliant - Minor improvements needed
- 70-79: Needs Improvement - Several issues require attention
- Below 70: Non-Compliant - Significant optimization required
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Structured Data (10 assessments)
Ensures your product data is properly structured and machine-readable for AI systems.
- • Field presence validation
- • Data consistency checks
- • Schema compliance
- • Currency standardization
Visible Content (10 assessments)
Analyzes the content users actually see to ensure it's optimized for AI understanding.
- • Title consistency
- • Price visibility
- • Description quality
- • Image accuracy
Semantic HTML (10 assessments)
Ensures your HTML structure is semantically correct and meaningful to AI parsers.
- • Heading hierarchy
- • Table markup
- • Navigation structure
- • Mobile compatibility
Product Relationships (10 assessments)
Analyzes how products relate to each other for better AI-driven recommendations.
- • Variant linking
- • Cross-sell mapping
- • Brand consistency
- • Category validation
Stability & Integrity (9 assessments)
Ensures your product pages are stable and reliable for AI crawling and analysis.
- • Session consistency
- • Load stability
- • Cache validation
- • URL integrity
Compliance & Trust (7 assessments)
Ensures your product pages meet legal and trust requirements that AI systems consider.
- • Legal compliance
- • Certification validation
- • Policy disclosure
- • Safety warnings
Category Scoring
Each category contributes to your overall GEO compliance score. Assessments within each category are weighted based on their importance to AI optimization, giving you a comprehensive evaluation of your product page's AI readiness.
These assessments ensure your product data is properly structured and machine-readable for AI systems.
SD001 - Field Presence Check
What it checks: Validates that essential product fields (name, description, price, image, brand) are present in JSON-LD structured data.
Why it matters: AI systems rely on structured data to understand product information. Missing fields mean AI can't properly categorize or recommend your products.
SD002 - Field Match Visible Content
What it checks: Compares JSON-LD structured data fields with visible page content to ensure consistency.
Why it matters: Consistency between structured data and visible content builds trust with AI systems and prevents penalties for misleading information.
SD003 - Currency Units Standardization
What it checks: Validates that currency codes and units follow international standards (ISO 4217) in structured data.
Why it matters: Standardized currency codes enable AI to correctly compare prices across global markets and provide accurate conversion rates.
SD004 - Canonical URL Validation
What it checks: Verifies that canonical URLs are properly set and point to the authoritative version of the product page.
Why it matters: Prevents AI systems from seeing duplicate content, ensuring your preferred URL gets indexed and recommended.
SD005 - Duplicate SKU Detection
What it checks: Scans structured data for duplicate SKUs and validates consistency across product information.
Why it matters: Duplicate SKUs confuse AI systems about which product information is correct, leading to poor recommendations.
SD006 - Dynamic Data Stability
What it checks: Measures if dynamic content (prices, stock status) remains stable during page loads.
Why it matters: Stable data allows AI crawlers to reliably extract information without getting conflicting signals.
SD007 - Offer Object Completeness
What it checks: Validates that product offers include all required fields (price, availability, seller info).
Why it matters: Complete offer data enables AI to make accurate purchasing recommendations and price comparisons.
SD008 - Review Data Validation
What it checks: Ensures customer reviews are properly structured with ratings, dates, and author information.
Why it matters: Structured reviews help AI understand product quality and customer sentiment for better recommendations.
SD009 - Alt Text Image Consistency
What it checks: Verifies that image alt text accurately describes product images and matches structured data.
Why it matters: AI vision systems use alt text to understand product images, crucial for visual search and accessibility.
SD010 - Inventory Update Sync
What it checks: Tests if inventory status updates are reflected consistently across all data sources.
Why it matters: Synchronized inventory data prevents AI from recommending out-of-stock products to customers.
These assessments analyze the content users actually see to ensure it's optimized for AI understanding.
VC001 - Title Consistency
What it checks: Verifies that product titles are consistent across page title, H1 tags, and structured data.
Why it matters: Consistent titles help AI clearly identify what the product is and avoid confusion.
VC002 - Price Visibility Check
What it checks: Ensures pricing information is clearly visible and not hidden behind interactions.
Why it matters: AI needs immediate access to pricing data for comparison and recommendation algorithms.
VC003 - Description Factuality
What it checks: Analyzes product descriptions for factual, objective information vs. marketing language.
Why it matters: AI systems prefer factual descriptions for accurate product understanding and feature extraction.
VC004 - Marketing Language Detector
What it checks: Identifies excessive marketing terms that may obscure actual product information.
Why it matters: AI systems work better with clear, descriptive language rather than promotional hyperbole.
VC005 - Spec Coverage Assessment
What it checks: Verifies that technical specifications are comprehensive and well-organized.
Why it matters: Detailed specs help AI match products to specific customer needs and technical requirements.
VC006 - Hidden Content Audit
What it checks: Identifies content that's hidden from users but visible to crawlers.
Why it matters: Hidden content can be seen as deceptive by AI systems and may result in penalties.
VC007 - Image Alignment Check
What it checks: Ensures product images accurately represent the item being sold.
Why it matters: Accurate images help AI visual recognition systems correctly identify and categorize products.
VC008 - Broken Asset Check
What it checks: Identifies broken images, videos, or other media assets on the page.
Why it matters: Broken assets provide negative signals to AI systems about page quality and reliability.
VC009 - Accessibility Compliance
What it checks: Validates that content is accessible to users with disabilities and assistive technologies.
Why it matters: Accessibility features help AI better understand and parse content structure and meaning.
VC010 - Multi-Language Consistency
What it checks: Ensures consistent product information across different language versions.
Why it matters: Consistent multi-language content helps AI understand product globally and avoid regional conflicts.
These assessments ensure your HTML structure is semantically correct and meaningful to AI parsers.
SH001 - Heading Hierarchy Validation
What it checks: Validates proper H1-H6 heading structure follows semantic hierarchy rules.
Why it matters: Proper heading hierarchy helps AI understand content structure and importance levels.
SH002 - Spec Table Recognition
What it checks: Ensures product specification tables use proper HTML table markup.
Why it matters: Properly marked tables allow AI to extract specific product attributes and specifications.
SH003 - Review Markup Verification
What it checks: Validates that customer reviews use appropriate semantic markup.
Why it matters: Semantic review markup helps AI distinguish between product info and customer opinions.
SH004 - Pros/Cons Clarity
What it checks: Identifies if pros and cons sections are clearly marked and distinguishable.
Why it matters: Clear pros/cons sections help AI understand product strengths and weaknesses for better recommendations.
SH005 - DOM Fragmentation Check
What it checks: Analyzes if related content is scattered across distant DOM elements.
Why it matters: Organized DOM structure helps AI understand relationships between different content pieces.
SH006 - Script Blocking Detection
What it checks: Identifies if critical content is hidden behind JavaScript that may not execute for AI crawlers.
Why it matters: Content that requires JavaScript may be invisible to AI systems that don't execute scripts.
SH007 - Breadcrumb Structure Check
What it checks: Validates that breadcrumb navigation uses proper semantic markup.
Why it matters: Proper breadcrumbs help AI understand site hierarchy and product categorization.
SH008 - Category Tagging Validation
What it checks: Ensures product categories and tags are properly marked with semantic HTML.
Why it matters: Semantic category tags help AI classify products accurately within your catalog structure.
SH009 - Mobile Layout Integrity
What it checks: Validates that semantic structure remains intact on mobile devices.
Why it matters: Mobile-first AI indexing requires consistent semantic structure across all device types.
SH010 - Spec Label Normalization
What it checks: Ensures specification labels use standardized, industry-recognized terminology.
Why it matters: Standardized labels help AI map your specifications to global product databases.
These assessments analyze how products relate to each other for better AI-driven recommendations.
PR001 - Variant Linking Accuracy
What it checks: Validates that product variants (size, color, model) are properly linked together.
Why it matters: Proper variant linking helps AI understand product options and suggest alternatives.
PR002 - Cross-Sell Mapping Check
What it checks: Analyzes if related products for cross-selling are properly identified and linked.
Why it matters: Clear cross-sell relationships enable AI to make relevant product suggestions to customers.
PR003 - Taxonomy Validation
What it checks: Ensures products are correctly categorized within your site's taxonomy structure.
Why it matters: Accurate taxonomy helps AI understand product relationships and improve search results.
PR004 - Bundle Recognition Assessment
What it checks: Identifies if product bundles and their components are properly structured.
Why it matters: Bundle recognition helps AI understand value propositions and suggest complete solutions.
PR005 - Accessory Relationship Accuracy
What it checks: Validates that accessories and compatible products are correctly linked.
Why it matters: Accessory relationships enable AI to suggest complementary products that enhance value.
PR006 - Product Comparison Accuracy
What it checks: Validates that product comparisons are accurate and fair across similar items.
Why it matters: Accurate comparisons help AI understand product differences and make better recommendations.
PR007 - Related Product Discovery
What it checks: Ensures related products are properly identified and linked together.
Why it matters: Related product links help AI provide relevant alternatives and cross-selling opportunities.
PR008 - Product Recommendation Engine
What it checks: Validates that product recommendation algorithms are working correctly and suggesting relevant items.
Why it matters: Effective recommendation engines help AI understand product relationships and improve customer experience.
PR009 - Product Upsell Detection
What it checks: Analyzes if premium alternatives and upsell opportunities are properly identified.
Why it matters: Clear upsell relationships help AI suggest higher-value alternatives appropriately.
PR010 - Product Personalization Check
What it checks: Validates that product personalization features are working correctly for different user segments.
Why it matters: Personalized product experiences help AI understand user preferences and improve recommendations.
These assessments ensure your product pages are stable and reliable for AI crawling and analysis.
SI001 - Session Consistency
What it checks: Validates that product information remains consistent across different user sessions.
Why it matters: Consistent sessions ensure AI crawlers get reliable data regardless of when they visit.
SI002 - Versioning Validation
What it checks: Ensures that product page updates don't break existing structured data or links.
Why it matters: Stable versioning prevents AI from losing track of products during site updates.
SI003 - Geo-Location Drift Check
What it checks: Validates that product information doesn't vary unexpectedly based on geographic location.
Why it matters: Unexpected geo-variations can confuse AI about actual product availability and pricing.
SI004 - URL Deduplication
What it checks: Identifies if the same product is accessible through multiple URLs without proper canonicalization.
Why it matters: Duplicate URLs fragment AI understanding and can dilute product authority signals.
SI005 - Stock Update Speed
What it checks: Analyzes real-time stock indicators, update timestamps, change notifications, and update frequency mechanisms.
Why it matters: Fast stock updates prevent AI from recommending unavailable products to customers.
SI006 - Cache Validation
What it checks: Validates cache headers, timestamps, invalidation mechanisms, and freshness indicators.
Why it matters: Proper cache validation ensures AI systems get current product information and prices.
SI007 - SSR Schema Timing
What it checks: Measures structured data schema loading performance and detects server-side vs client-side rendering.
Why it matters: Fast schema loading ensures AI crawlers capture complete structured data efficiently.
SI008 - SPA Route Integrity
What it checks: Validates History API usage, route definitions, navigation components, and route guards.
Why it matters: Proper SPA routing ensures AI can navigate and index all product pages correctly.
SI009 - Error Discontinued State
What it checks: Ensures discontinued products are properly marked and don't return error states.
Why it matters: Proper discontinuation signals help AI understand product lifecycle and remove them from recommendations.
These assessments ensure your product pages meet legal and trust requirements that AI systems consider.
CT001 - Restricted Keyword Scan
What it checks: Identifies use of restricted or problematic keywords that may trigger AI content filters.
Why it matters: Avoiding restricted keywords prevents AI systems from flagging or downranking your content.
CT002 - Certification Validation
What it checks: Validates that claimed certifications (organic, safety, quality) are properly documented.
Why it matters: Verified certifications build trust with AI systems and improve recommendation confidence.
CT003 - Warranty Return Disclosure
What it checks: Ensures warranty and return policy information is clearly accessible and properly structured.
Why it matters: Clear policies build trust signals that AI considers when ranking and recommending products.
CT004 - External Claim Verification
What it checks: Validates that external claims (awards, reviews, certifications) are properly sourced.
Why it matters: Verified external claims provide strong trust signals that AI uses for quality assessment.
CT005 - Legal Text Consistency
What it checks: Ensures legal disclaimers and regulatory text are consistent and up-to-date.
Why it matters: Consistent legal text helps AI understand compliance status and reduces regulatory risk.
CT006 - Compare-At Pricing Legality
What it checks: Validates that comparison pricing claims comply with legal requirements.
Why it matters: Legal pricing practices prevent AI from flagging deceptive pricing patterns.
CT007 - Age Safety Warnings
What it checks: Ensures age-appropriate warnings and safety information are properly displayed.
Why it matters: Proper safety warnings help AI systems understand product suitability and target appropriate audiences.