AI Shopping: Be visible in AI purchasing decisions
Answers in chats visibly shift purchasing decisions: If your item is missing from the short selection, the buyer will choose the more prominent offer. Many of these lost orders remain invisible in analytics; they are silently lost revenue that is often difficult to trace back.
projx gets your catalog exactly where these answer snippets are generated. We clean up the product feed: correcting GTIN errors, systematically organizing variant designations, harmonizing image files, and assigning unique product identifiers. In parallel, we link your product pages with brand entries in Knowledge Graphs and build reliable API endpoints to ensure catalog and order data are cleanly delivered to recommendation services.
What does AI Shopping at projx include?
Product Feed & Merchant Center Optimization
We match your GTINs with supplier data, remove duplicates, structure variants so that Size, Color, and Model are logically separated, and ensure uniform image sizes and price formats. In the end, you receive validated export sets that Merchant Center and recommendation services can import without any rework.
Structured Product Data (Schema.org)
We provide JSON-LD with Product, Offer, AggregateRating, Review, and Brand, supplemented by llms.txt as well as machine-readable prices, availability, and structured attributes such as material, dimensions, and area of application. This reduces the risk of confusion when answer systems need to differentiate between your variants.
ChatGPT & Perplexity Shopping Integrations
We set up shop paths for chat answers and instant checkout processes where platforms offer corresponding interfaces. This includes catalog sync, automated price updates, and order handoffs via secure API endpoints. All processes are tested until successful handover.
Brand Authority & Entity Building
We create and maintain suggestions for Wikidata entries, prepare verifiable content for Wikipedia, and register your brand in relevant industry directories. The goal is to create reliable reference points from which services can derive category, product range, and unique selling propositions.
Review & Mention Strategy
No blind link farms, but targeted outreach to trade media, test portals, and relevant communities. Coordinated mentions in forums, video formats, and specialized sites create traceable signals that can be publicly verified.
Conversational Commerce Content
Concise comparison texts, clear FAQs, and practical buying guides in a question-and-answer format. These texts quickly answer questions, directing chat responses straight to your SKUs.
AI Shopping Visibility Tracking
We measure in which queries your products appear, at which positions, and with which attributes. These measurements provide priorities for optimizations and show where content needs to be refined.
MCP & Agent Readiness
Provision of Model Context Protocol endpoints for catalog, prices, inventory, and order status, so that autonomous agents can query your product range, compare items, and hand over orders cleanly.
Your advantages with projx
More visibility in answer channels
Your products appear where short answers influence purchasing decisions: in chat responses, widgets, and checkout paths. This complements classic ads and increases the chance of being discovered directly.
Data instead of gut feeling
Uniform feeds, clean schema markup, and clear entity signals create reliable metrics such as mention frequency, average position, and the conversion rates derived from them.
Traceable metrics
We define metrics for your presence in generative recommendations and link them to traffic and conversion data, so you can see exactly which recommendations are actually effective.
Agent-friendly technology
Technical interfaces reduce manual adjustment effort and accelerate the use of autonomous processes, making operations leaner.
AI Automation ×
Human Strategy.
Automatisiert
- LLM-Sichtbarkeits-Tracking
- Produkt-Feed-Optimierung
- Schema-Markup-Automation
- Wettbewerbs-Monitoring
- AI-Zitations-Analyse
Experten-Fokus
- LLM-Commerce-Strategie
- Produktdaten-Architektur
- Brand-Entity-Aufbau
- Conversational Commerce
- Marktplatz-Positionierung
Competitive Edge
Gesteuert von Menschen mit richtig viel Expertise.
Während andere blind ausführen, was die KI vorschlägt, hinterfragen unsere Experten jede Entscheidung. Das ist der Unterschied zwischen Output und Ergebnis, zwischen Automatisierung und Wettbewerbsvorteil.
AI × AI Shopping
LLM Visibility Optimization
AI-powered Feed Analysis
Automatic Schema Generation
Predictive Ranking in AI Shopping
AI-based Competitive Analysis
Sell where AI shops.
Your products surface when ChatGPT, Gemini and Perplexity recommend.
Fragen zum Thema AI Shopping: Be visible in AI purchasing decisions?
Lassen Sie uns gemeinsam herausfinden, wie wir Ihre AI Shopping: Be visible in AI purchasing decisions-Ergebnisse optimieren können.
Begrenzte Kapazität pro Quartal. Wir prüfen jede Anfrage persönlich.
Ein AI-Werkzeugkasten hinter jedem Service.
Von Entity- und Prompt-Research bis GEO-Monitoring und Content-Ops. Unsere internen Tools laufen bei jedem Kundenprojekt mit, damit Entscheidungen auf Daten basieren, nicht auf Bauchgefühl.
Bereits für ausgewählte Kunden verfügbar unter beta.projx.de.
