ArcAI Shopping: Track Your Brand’s AI Shopping Visibility

Capture "Share of Shelf"

Go beyond text with a dedicated layer that performs visual extraction from product carousels and shopping cards.

Identify Visibility Gaps

Segment performance by product category or hierarchy to see which business units are winning or missing in AI search.

Decode Competitor Dominance

Uncover which sellers and products AI search engines "trust," giving you the data to challenge their market share.

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How Users Discover Products Is Changing

Over 40% of consumers now use AI to find products, yet brands remain blind to how these recommendations are made.

Without data on AI shopping results, you cannot measure, track, or optimize your product’s visibility on the new digital shelf.

Optimize Product Performance Within AI Search Responses

ArcAI Shopping turns AI commerce recommendations into actionable competitive intelligence.

Decode exactly how AI search engines like ChatGPT cite and feature your products so you can move beyond being "on the web" to becoming the preferred choice of the AI gatekeepers guiding the modern buyer’s journey.

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Insights for the "Agentic Commerce" Era

Track how often your products are surfaced when it matters most: at the moment of purchase intent.

Total Shopping Result Tracking: Monitor the number of prompts that include product cards or shopping listings in AI responses.
Real-Time Trend Visibility: Track how shopping results and product presence rate evolve over time.
Prompt Intent Mapping: Distinguish visibility between high-intent "buy" prompts and top-of-funnel research queries.
Citation & Source Monitoring: See which third-party sites or reviews are influencing AI search engines to recommend your brand.

FAQs About ArcAI Shopping

What exactly is “Share of Model” and why does it matter for ecommerce?

Share of Model is a new metric that measures how often an AI model (like ChatGPT or Google’s Gemini) recommends or cites your brand compared to your competitors. In an era where AI assistants act as "gatekeepers" that curate only 1–3 products instead of a full page of links, knowing your Share of Model is the only way to quantify your brand's authority and visibility in conversational commerce.

Which AI search engines and models does ArcAI Shopping track?

ArcAI Shopping provides visibility across the most critical AI-driven discovery platforms, including Google’s AI Overviews (AIO), AI Mode, ChatGPT (OpenAI), Perplexity, and Microsoft Copilot. This ensures you have a cross-platform view of how your products are being recommended globally.

Does this capability track visibility at the product (SKU) level?

Yes. ArcAI Shopping identifies unique products appearing in AI responses. You can segment this data by product category, brand, or custom tags, allowing you to see exactly which parts of your catalog are winning in AI search and which do not.

Can ArcAI Shopping help me understand why a competitor is being recommended over me?

Absolutely. By analyzing "Citation Rates" and "Prompt Intent Mapping," the platform reveals which third-party sources (like Reddit, review sites, or niche blogs) AI is using to justify its recommendations. This allows you to identify the specific authority signals you need to strengthen to displace a competitor.

Is ArcAI Shopping only for the US market, or does it track global AI visibility?

The platform is built for global enterprises. You can track AI shopping results across different countries, languages, and regions to ensure your international product strategy is performing consistently across the globe.

ArcAI Shopping

Track Your Brand’s AI Shopping Visibility

See how your products, brand, and resellers appear within LLM's shopping results, making AI commerce measurable and actionable.