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AI Commerce Visibility

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Frustration: e-commerce teams struggle to see how AI shopping assistants rank their brand, products, and delivery experiences, leaving gaps in visibility and ROI.


Stop Wasting Time on AI Visibility


With AI Commerce Visibility, you get a 360-degree view across brand recognition, product discoverability, channel performance, and delivery experience. It shows you where you rank, why, and what to fix—linking visibility to operational performance.


The Aha Moment


Start by auto-configuring product attributes, markets, and competitors; the platform then tracks across ChatGPT, Perplexity, and Gemini with 200+ prompts crafted for e-commerce. Real-time insights reveal gaps and actionable steps to boost AI rankings.


AI Commerce Visibility empowers you to benchmark, optimize, and prove ROI by connecting delivery accuracy, EDD, and returns to AI recommendations.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

How AI Commerce Visibility Works In 3 Steps?

  1. 1. Start Free Trial

    Begin with a 14-day trial to unlock AI visibility tracking.
  2. 2. Connect Catalog

    Link your product data and markets to auto-configure prompts.
  3. 3. Review Insights & Action

    Identify AI visibility gaps and take actions to improve rankings.

Customer Reviews for AI Commerce Visibility

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend — Monthly growth

6-month timeline

Most helpful

Chen Wei
Chen Wei 0

I juggle a lean e‑commerce setup and needed proof that every marketing dollar moves the needle. The AI Visibility Tracking across ChatGPT, Perplexity, and Gemini finally shows where our SKUs appear and how shoppers react. The SKU-level visibility plus channel benchmarks helped me spot underperforming items and reallocate spend quickly, while tying delivery signals to AI visibility began proving ROI for logistics.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

5.0/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Chen Wei

Chen Wei

5.0
Recommends

AI shopping visibility that finally justifies my ad spend

Used for 1-3 months

What I liked

  • Product-Level & SKU Visibility: tracking performance at the SKU level across AI shopping assistants delivers actionable, item-level insights.
  • Brand Visibility & Sentiment: quick reads on customer perception help tighten our messaging.
  • Channel Performance Benchmarking: cross-channel comparisons justify budget shifts and optimize spend.

What could be better

  • Pebble in the Shoe: onboarding required cleaning up our catalog and SKU mappings to get clean signals.
  • Pebble in the Shoe: a few dashboards render slowly during peak times, nudging me to plan around load.
  • Pebble in the Shoe: export formats are limited, so I reformat data before feeding BI tools.

I juggle a lean e‑commerce setup and needed proof that every marketing dollar moves the needle. The AI Visibility Tracking across ChatGPT, Perplexity, and Gemini finally shows where our SKUs appear and how shoppers react. The SKU-level visibility plus channel benchmarks helped me spot underperforming items and reallocate spend quickly, while tying delivery signals to AI visibility began proving ROI for logistics.

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User avatar for Olivia Brown

Olivia Brown

Verified purchase
5.0
Recommends

Competitor benchmarking that actually informs PR strategy

Used for 3-6 months

What I liked

  • Competitor Benchmarking by Category: see where rivals win and tailor outreach accordingly.
  • Brand Visibility & Sentiment: real-time sentiment helps keep messaging on-brand.
  • AI Visibility Tracking: confirms where our messages land across multiple AI shopping surfaces.

What could be better

  • Pebble in the Shoe: category mappings for competitors aren't auto-aligned and require manual setup.
  • Pebble in the Shoe: deeper drill-downs can lag during rapid market shifts.
  • Pebble in the Shoe: pulling exports into our PR platforms needs extra formatting.

I manage a small portfolio of brands and spend most of my time on content and outreach. This tool lets me measure AI share of voice by category and market, and the Competitor Benchmarking by Category is the 'Aha!' moment—seeing where rivals win helps tailor our outreach and pacing. The sentiment lens keeps our messaging aligned with real reactions, not vibes.

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Direct Comparison

See how AI Commerce Visibility compares to its alternative:

AI Commerce Visibility VS BrandRadar

AI Commerce Visibility: Features, Advantages & FAQs

Explore everything you need to know about AI Commerce Visibility

Core Features
  • AI Visibility Tracking: monitor across ChatGPT, Perplexity, Gemini
  • Brand Visibility & Sentiment: understand brand perception
  • Product-Level & SKU Visibility: track at SKU level
  • Channel Performance Benchmarking: compare channels
  • Operational Trust Signals: analyze delivery, returns
  • Competitor Benchmarking by Category: compare rivals
Advantages
  • Credit-based pricing
  • 360-degree AI visibility across multiple LLMs
  • Multi-market & multi-language tracking
  • Operational signals tied to AI rankings
  • 200+ prompts
  • Benchmarking against competitors
Use Cases
  • Tracking visibility across AI shopping assistants
  • Benchmarking AI share of voice by category and market
  • Identifying operational gaps in delivery, EDD, returns
  • Prioritizing PR and content strategy based on AI influence
  • Proving ROI of logistics investments by linking delivery to AI visibility
  • Monitoring sales channel performance to win back DTC sales
  • Testing visibility in new markets

Frequently Asked Questions

What is AI Commerce Visibility?

An AI-powered platform to track, benchmark, and improve AI-driven visibility for e-commerce brands.

Where does the data come from?

Data is gathered from AI shopping assistants interactions and prompts across multiple models.

How is it different from traditional tools?

It combines AI visibility with operational signals like delivery and returns to show ROI.

Can I monitor multiple brands?

Yes, you can track multiple brands or business units with multi-market, multi-language support.

How do I start?

Sign up for a 14-day free trial and we configure your attributes, markets, and competitors.

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Best Primary Tasks for AI Commerce Visibility — Top Use Cases & Workflows

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