Market/Categories/Marketing & Sales/AI Commerce Visibility

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

AI Commerce Visibilityparcelperform.com

See, compare, and improve AI shopping recommendations.

Marketing & Salesparcelperform.comTracked since 2026-08-192 discovery sources
138.6KBacklinks
1.3KReferring domains
46Domain authority
+0.6%Referring domains · 90 days

Authority & distribution

How strong is AI Commerce Visibility’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

138.6KCurrent snapshot

Referring domains

1.3KCurrent snapshot

Authority

46Domain authority · category median 22

90-day move

+0.6%Referring domains, last 90 days
At 46, AI Commerce Visibility sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where AI Commerce Visibility ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending AI Commerce Visibility traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What AI Commerce Visibility is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“AI Commerce Visibility”

See, compare, and improve AI shopping recommendations.

Marketing & SalesSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.parcelperform.com/products/ai-commerce-visibility

Observed across 2 discovery sources.

Research questions

What the evidence answers about AI Commerce Visibility.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What problem does AI Commerce Visibility solve for e-commerce brands?

AI Commerce Visibility helps brands understand how AI systems see and recommend their products, allowing them to answer critical ranking questions like 'Am I in the top 3 for a shopper's query?'. It enables tracking of product-level visibility, ranking, and sentiment in AI search results, which is essential for optimizing brand presence and shopper choice. (evidence: product.description, homepage.main_text)

In what situations is AI Commerce Visibility typically used?

The product is used to track and improve brand and product visibility specifically within AI-driven shopping recommendations and search. It is applicable for competitive benchmarking, analyzing product performance against competitors, and preparing for peak seasons or campaigns by ramping up visibility tracking. (evidence: homepage.main_text, homepage.meta_description)

Who is the target audience for AI Commerce Visibility?

The product is designed for e-commerce and retail businesses, as indicated by the taxonomic category and homepage content emphasizing 'e-commerce brands'. It targets professionals responsible for marketing, sales, and brand visibility within these organizations. (evidence: taxonomy.reason, homepage.main_text)

What key features and surfaces does AI Commerce Visibility offer?

It offers AI visibility, ranking, and sentiment tracking at the product, brand, channel, and trust levels. Key features include product category tracking, automated prompt generation (100+ prompts), weekly scheduled prompt runs, competitive benchmarking, and side-by-side product feature comparison. (evidence: homepage.main_text)

How is AI Commerce Visibility priced or packaged?

The product uses a usage-based credit model, allowing customers to easily ramp up AI visibility tracking for peak seasons or campaigns. A free trial is also offered. (evidence: homepage.h1, homepage.main_text)

What is the AI Visibility Index for E-Commerce Brands, and what does it show?

The AI Visibility Index is a core feature that shows which e-commerce and retail brands AI systems actually recommend to shoppers. It helps brands answer whether they are ranking at the top of AI search within their industry. (evidence: homepage.h1, homepage.main_text)

How does AI Commerce Visibility handle competitor analysis?

It enables competitive benchmarking and allows users to zoom in on visibility, ranking, and sentiment for specific product models, not just brand-level data. Users can compare product features side-by-side to see what makes them stand out. (evidence: homepage.main_text)

What is AI Commerce Visibility?

AI Commerce Visibility is a product from Parcel Perform that helps e-commerce brands see, compare, and improve their visibility in AI shopping recommendations. It tracks how AI systems perceive and rank their products and brand. (evidence: product.name, product.description)

Behind the lock

Unlock full AI Commerce Visibility intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 2 of them do it, and the 2 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured