The AI Interpretation
Diagnostic Pipeline
SemanticIQ AI™ runs your brand through a multi-stage semantic intelligence pipeline — revealing exactly how AI systems perceive, categorize, and describe your business.
URL Submission
Submit any public-facing URL — your homepage, product page, or landing page. SemanticIQ AI™ uses this as the entry point for its semantic extraction pipeline.
Our system resolves the domain, normalizes the URL, and initializes a multi-model interpretation session tied to your brand's digital identity.
AI Interpretation Extraction
Four major AI systems — ChatGPT, Claude, Gemini, and Perplexity — independently interpret what your brand means based on their training data and reasoning patterns.
Each model generates a unique semantic fingerprint: how it describes you, what it thinks you do, and how confidently it can place you in a category.
Semantic Intelligence Analysis
Your brand's semantic footprint is analyzed across 8 diagnostic dimensions including Entity Clarity, Semantic Intent, and Machine Trust.
This deep analysis surfaces invisible gaps between how you intend to be understood and how AI systems actually represent you to users.
Entity Relationship Mapping
SemanticIQ AI™ maps the relationships between your brand, products, market categories, and key concepts as understood by AI systems.
The Entity Graph reveals which concepts AI associates with your brand — and which critical associations are missing or misaligned.
Interpretation Drift Detection
We measure how consistently AI systems interpret your brand across different query contexts, models, and reasoning paths.
High drift indicates that AI systems contradict each other when describing your brand — a significant liability in AI-mediated discovery.
Cross-Model Comparison
Side-by-side comparison of ChatGPT, Claude, Gemini, and Perplexity outputs reveals where models agree, diverge, and misrepresent your brand.
Confidence scores, clarity ratings, and specific misunderstanding patterns are surfaced for each model separately.
AI Readability Scoring
A composite AI Readability Score (0–100) is calculated from weighted diagnostic dimensions, giving you a single benchmark for your AI comprehension health.
Scores are broken down by category so you know exactly which areas to prioritize for maximum AI visibility improvement.
Final Report Generation
A comprehensive diagnostic report is generated and available for instant review and sharing — complete with actionable recommendations.
Reports can be shared via unique URL, enabling teams, agencies, and executives to collaborate on AI comprehension strategy.
Ready to see how AI perceives your brand?
Run Your Free Diagnostic