The Technology Behind AI Commerce
Alignment combines GEO research, entity normalization, source intelligence, Visibility Proxy, and Broker APIs so brands can be found, recommended, and transacted by AI.
Built on Three Layers
Most tools stop at monitoring. Alignment connects market intelligence, visibility infrastructure, and agentic commerce protocols.
AI Market Intelligence
Alignment observes how AI systems answer buyer questions, which sources they cite, which competitors they recommend, and which products appear in shopping-mode responses.
Answer Surface Monitoring
Tracks ChatGPT, Perplexity, Gemini, Claude, Grok, and Google AI Overviews
Category and Topic Graph
Maps topics, leaders, mentions, and competitor share across AI answers
Citation Source Intelligence
Canonicalizes domains and URLs that AI systems trust and quote
Shopping and Ads Signals
Detects products, channels, price bands, paid surfaces, and commerce opportunities
Visibility Infrastructure
Once the market is mapped, Alignment ships the machine-readable layer AI systems need: clean entities, citation-ready pages, structured product data, llms.txt, agent.json, and crawler-aware delivery.
Entity Normalization
Merges brand/product variants so Bose, Bose QuietComfort, and product SKUs do not pollute rankings
AI-Readable Content and Schema
Publishes concise, cited, structured answers and Product/Offer/Review signals
Visibility Proxy
Serves AI crawlers the right structured signals while humans see the normal site
Attribution and Feedback Loop
Connects AI mentions, source clicks, shopping recommendations, quote success, and GMV
Agentic Commerce Protocol
Brands expose a Product Agent once. Consumer agents query the Broker, receive ranked quotes, commit transactions, and send attribution back to the commerce graph.
Consumer agent sends purchase intent
Product Agents return price, fit, inventory, and policy
The chosen quote becomes an auditable transaction
GMV, latency, failures, and broker rank are tracked
Layer 1 shows where AI demand already lives. Layer 2 makes your brand machine-readable. Layer 3 makes your catalog callable by shopping agents.
GEO is the First Layer
AI visibility is still the starting point. Modern brands need to connect visibility to recommendations, shopping surfaces, and agent transactions.
From Search to Answer to Transaction
Traditional SEO optimizes your content for search rankings. GEO optimizes your content for AI-generated answers, citations, and recommendations.
Generative Engine Optimization (GEO) is now the entry layer of a larger AI commerce stack. If AI cannot discover and cite you, it will not recommend or transact with you.
Alignment extends that first layer into shopping intelligence and agentic commerce, so visibility gains can be tied back to sources, product recommendations, quotes, commits, and revenue.
Traditional SEO
Optimizing for search rankings
Google
BingAI Commerce
Optimizing for AI recommendations and transactions
ChatGPT
Perplexity
GeminiOur 5-Dimension Methodology
Every GEO audit and optimization is measured across five critical dimensions that determine how AI platforms perceive your content.
AI Discoverability
Whether AI systems and shopping agents can discover, index, and identify your brand, products, and commerce endpoints.
Entity & Product Structure
Whether brand, product, offer, review, domain, and citation entities are clean enough for AI systems to merge instead of duplicate.
Source & Citation Authority
Which URLs and domains AI systems trust when explaining your category, ranking competitors, and recommending products.
Recommendation Trust
Whether answer engines can recommend your products accurately, with price, availability, compatibility, and source confidence.
Agentic Reusability
How well your signals survive across search, shopping, voice, and agent workflows, from answer generation to quote and commit.
Research We Track
Our methodology is grounded in the latest academic research on generative AI search behavior and content optimization.
OpenAI2024Introducing SearchGPT: Real-Time Web Search in ChatGPT
OpenAI details how ChatGPT selects, ranks, and attributes web sources in real-time search responses — the foundation of modern GEO strategy.
Google AI2024How AI Overviews in Google Search selects and cites sources
Google's engineering team explains the grounding and citation logic behind AI Overviews — how content quality, structured data, and authority signals determine what gets surfaced.
Perplexity2024Building an Answer Engine That People Can Trust
Perplexity AI's approach to answer quality: real-time grounding, source diversity, and citation transparency — and what it means for brands that want to appear as cited sources.
Search Engine Journal2024What Is GEO? The Marketer's Guide to AI Search Visibility
A practitioner's breakdown of why traditional SEO falls short in the age of AI answer engines, and which content structures get cited most often by LLMs.
OpenAI2024Introducing SearchGPT: Real-Time Web Search in ChatGPT
OpenAI details how ChatGPT selects, ranks, and attributes web sources in real-time search responses — the foundation of modern GEO strategy.
Google AI2024How AI Overviews in Google Search selects and cites sources
Google's engineering team explains the grounding and citation logic behind AI Overviews — how content quality, structured data, and authority signals determine what gets surfaced.
Perplexity2024Building an Answer Engine That People Can Trust
Perplexity AI's approach to answer quality: real-time grounding, source diversity, and citation transparency — and what it means for brands that want to appear as cited sources.
Search Engine Journal2024What Is GEO? The Marketer's Guide to AI Search Visibility
A practitioner's breakdown of why traditional SEO falls short in the age of AI answer engines, and which content structures get cited most often by LLMs.
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Our research engine continuously ingests and processes data from the most authoritative sources in AI and GEO.
See GEO in Action
Run a free 5-dimension audit on your website and see exactly how AI platforms perceive your content today.