Get your products into the AI answer.
“When buyers ask for the best product in our category, do our SKUs get recommended, and which ones?” Product Visibility scores every product in your catalog on how ready it is to be recommended by AI, and shows you which ones to fix first.
From catalog upload to before-and-after scores.
01
Upload your catalog
A CSV file, or a Shopify or Amazon product export.
02
Map the columns
StarRise proposes which column is the title, description, price and each attribute. You confirm.
03
Score every product
Each product gets a score from 0 to 100 and a grade from A to F, with its weakest measures listed first.
04
Enrich the weakest
Suggested descriptions and attributes for the products that need them most, for your team to review.
05
Compare before and after
Scores before and after enrichment show what the changes are worth, product by product.
Five measures, one score.
The five measures are weighted into one score from 0 to 100 for each product.
- Attribute fill rate
- How many of the attributes buyers and AI compare on, such as size, material or origin, are filled in.
- Quantification
- Whether the listing gives specific numbers: weights, dimensions, quantities and specifications.
- Description richness
- Whether the description is long and readable enough to quote, and says what the product is for.
- Structured data
- Machine-readable facts such as classifications, yes/no flags and dimensions, so AI can answer filtered questions.
- Credibility signals
- Certifications, third-party validation, regulatory compliance and a real brand name: reasons for AI to trust the claim.
Grades
| Grade | Score |
|---|---|
| A | 80–100 |
| B | 60–79 |
| C | 40–59 |
| D | 20–39 |
| F | below 20 |
Each product also lists the fixes that would raise its score most, starting with the most important.
How Product Visibility differs from Brand Visibility.
Brand visibility and product visibility are different problems with different buyers. StarRise covers both.
| Aspect | Brand Visibility | Product Visibility |
|---|---|---|
| The question | Does AI recommend our company? | Does AI recommend our products, and which ones? |
| What is measured | Mention rate, share of voice and citation rate across engines | Each product’s readiness on five measures |
| What you fix | Website content, sources, technical access and social channels | Product titles, descriptions, attributes and structured data |
| Typical buyer | Marketing, brand, SEO and PR leaders | E-commerce and digital leaders |
Product Visibility questions
What is product visibility in AI search?
Whether AI engines recommend your specific products when buyers ask for the best product in your category, and which of your products they pick.
What do I need to get started?
Your product catalog as a CSV file, or a Shopify or Amazon product export. StarRise proposes how each column maps to product fields, and you confirm the mapping.
How is each product scored?
On five measures: attribute fill rate, quantification, description richness, structured data and credibility signals. They combine into a score from 0 to 100 and a grade from A (80 and above) to F (below 20).
Can I publish the suggested descriptions as they are?
Review them first. Suggestions are drafts, and any fact in them, such as a certification or a specification, should be checked against the product before it goes live.
How do I add Product Visibility?
Talk to us at [email protected] and we will set it up for your catalog.