Assessment · 3–4 weeks
Shoppers increasingly ask AI assistants such as ChatGPT and Gemini, AI-enabled search, and retailer platforms like Amazon and Walmart what to buy. The AI Product Visibility Assessment tests how your products and brand appear in those environments for the questions shoppers actually ask, benchmarks you against category competitors, and traces gaps back to the product information and digital shelf fundamentals you control. We report what we observe and what you can improve; we do not promise placement or recommendations on any third-party platform.
Sample maturity scorecard
AI Visibility
AI Product Discoverability
42/100
How often your products appear for relevant shopper questions across AI assistants and AI search.
Recommendation Frequency
38/100
How frequently your products are suggested when shoppers ask for recommendations in your category.
Competitive Visibility
45/100
Share of representation relative to key competitors across the same set of queries.
Product Information Accuracy
63/100
Fidelity of AI-generated product descriptions against your authoritative product data.
Digital Shelf Performance
71/100
Retailer search rank, content completeness, availability, and ratings across priority retailers.
Growth Opportunities
56/100
Addressable gaps in product information, content, and data where improvement is within your control.
Sample output for a fictional organization. Your assessment is conducted by Artiminds consultants and produces a scorecard specific to your environment.
What we evaluate
See how AI sees your products.
An evidence-based assessment of how your products are discovered, represented, and recommended across AI assistants, AI search, and retailer algorithms.
Discovery across AI experiences
Whether and how your products surface when shoppers ask AI assistants and AI search about your category, needs, and use cases.
Representation accuracy
How accurately AI systems describe your products, attributes, claims, and differentiators compared with your source of truth.
Competitive positioning
How your portfolio is surfaced and described relative to competing brands across the same shopper questions.
Retailer algorithm performance
Search rank, content quality, availability, and ratings signals on major retailer platforms that influence both human and algorithmic discovery.
Product information foundations
Structure, completeness, and consistency of product data across PIM, brand sites, and retailer syndication.
ChatGPT
AI assistant
Gemini
AI assistant
Amazon
Marketplace
Walmart
Retail platform
AI Search
Answer engines
Digital Retail
Retailer sites & apps
Social Commerce
Shoppable feeds
AI visibility dashboard
Lumen Botanical · Sparkling Water
AI Product Discoverability
0%
How often the product appears for relevant category prompts
Recommendation Frequency
0%
Share of relevant recommendations that include the brand
Competitive Visibility
0%
Visibility relative to the top competing brands
Product Information Accuracy
0%
Correctness of attributes, claims, and availability
Digital Shelf Performance
0%
Search rank, content quality, and ratings signals
Growth Opportunities
0
Prioritized improvement areas identified
Simulated metrics for a fictional brand. Artiminds measures and improves visibility signals; it does not guarantee recommendations or placement on any third-party platform.
Deliverables
What you receive
- AI visibility scorecard across six dimensions
- Query-level findings showing how products are surfaced and described
- Competitive benchmark by category and shopper intent
- Product information and content gap analysis with root causes
- Prioritized improvement roadmap for brand, e-commerce, and data teams
Process · 3–4 weeks
- 01
Scope
Define priority categories, products, competitors, retailers, and the shopper questions that matter most.
- 02
Capture
Structured testing across AI assistants, AI search, and retailer platforms, repeated to account for variability.
- 03
Analyze
Score discoverability, accuracy, and competitive position; trace gaps to product data, content, and availability causes.
- 04
Readout
Findings and roadmap presented to brand, e-commerce, and data leaders with clear ownership of next steps.
Request
Tell us about your brand
Share the brand, products, markets, and platforms you care about. We will scope the evaluation and schedule a working session with your team.
Prefer to pick a time?
Online scheduling is being connected. In the meantime, submit the form and we will propose times within one business day, or reach us directly.
Admin: set NEXT_PUBLIC_BOOKINGS_URL to enable the embedded calendar
Who should participate
- Chief Marketing Officers
- Heads of E-commerce and Digital Commerce
- Brand and Category Leaders
- Heads of Shopper and Consumer Insights