An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
AI Commerce Visibility

About AI Commerce Visibility
AI Commerce Visibility from Parcel Perform measures how e-commerce brands, products, and channels show up in AI shopping assistants. It turns real AI conversations from tools like ChatGPT, Gemini, Perplexity, and Claude into visibility, ranking, and sentiment signals that marketers and operators can act on. The tool tracks visibility score, ranking position, and sentiment for brands and products across major AI assistants, tuned specifically to shopping and purchase intent queries. It also provides e-commerce centric prompt engine, product and attribute level analytics, citation and operations intelligence, and a transparent usage model with credits-based billing focused on prompts run. AI Commerce Visibility is built for e-commerce teams, mirroring how merchandisers think, using product categories, attributes, markets, and competitors rather than abstract keyword lists. It bridges marketing and operations by linking content, delivery performance, returns, and policy clarity directly to AI recommendation strength. The tool is suitable for direct-to-consumer brands, retailers, marketplaces, e-commerce marketing and growth teams, logistics and operations leaders, and brand owners that sell mainly through retail partners but want to understand AI treatment of their SKUs. It also has uncommon use cases such as agencies and consultancies running AI visibility audits and competitive benchmarks on behalf of clients.
Key features
- AI shopping assistant monitoring
- E-commerce centric prompt engine
- Product and attribute level analytics
- Citation and operations intelligence
- Transparent usage model with credits-based billing
- Automated website scanning to identify product categories, attributes, markets, and competitors
Use cases
- Direct-to-consumer brands tracking their e-commerce visibility in AI shopping assistants
- Retailers and marketplaces monitoring which product lines and partners AI assistants recommend across their assortments
- E-commerce marketing and growth teams optimizing content strategy and brand share inside AI driven shopping journeys
Pros
- Tracks visibility, ranking, and sentiment for specific products and categories across major AI assistants like ChatGPT, Gemini, Perplexity, and Claude
- Provides e-commerce-centric prompt engineering with 100+ prompts based on products and markets, including unlimited custom prompts
- Offers product and attribute-level analytics with automatic extraction of product features from catalogs
- Links content, delivery performance, returns, and policy clarity to AI recommendation strength for actionable insights
- Uses a transparent credits-based billing model focused on prompts run, with no paywalls for features or regions
Cons
- Limited to e-commerce use cases and may not suit non-retail businesses
- Requires integration of logistics and product data for full functionality, which may involve setup time
- Credits-based pricing may be less predictable for teams with fluctuating usage volumes
AI Commerce Visibility videos
Frequently asked questions about AI Commerce Visibility
What does AI Commerce Visibility do?
AI Commerce Visibility tracks how e-commerce brands, products, and sales channels appear in AI shopping assistants like ChatGPT, Gemini, Perplexity, and Claude. It measures visibility, ranking, and sentiment for products based on real shopper queries and provides actionable insights to improve AI recommendations.
Who is AI Commerce Visibility designed for?
The tool is built for e-commerce teams, including direct-to-consumer brands, retailers, marketplaces, marketing and growth teams, logistics leaders, and brand owners selling through retail partners. It also serves agencies and consultancies conducting AI visibility audits for clients.
How does AI Commerce Visibility track AI recommendations?
It runs real AI prompts based on product categories, attributes, markets, and competitors, then analyzes visibility, ranking, and sentiment across major AI assistants. Users can schedule regular prompt runs or run checks on demand to stay updated with AI changes.
What kind of insights does the tool provide?
The tool offers product and attribute-level analytics, competitive benchmarking, citation sources, sentiment audits, and channel comparisons. It also links content, delivery performance, returns, and policy clarity to AI recommendation strength for actionable recommendations.
Does AI Commerce Visibility integrate with existing e-commerce data?
Yes, it can connect logistics data to show how delivery experience impacts AI ranking. Users can also import product catalogs to automatically extract categories and attributes, reducing manual setup time.
What is the pricing model for AI Commerce Visibility?
The tool uses a credits-based billing system where users pay only for the prompts they run. There are no paywalls for features, regions, or AI platforms, and users can pause tracking or top up credits as needed.