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15 December 2025

AI Brand Audit: How Visible Are You?

You already track your Google rankings and monitor your social reach. But there’s a new visibility layer that’s redefining discovery: AI recommendations.

When someone asks ChatGPT, “What’s the best [product type]?” do you appear? That’s what an AI Brand Audit reveals. It measures how visible your brand is when AI platforms decide which products to recommend.

The Simple Test

Open ChatGPT. Search for your product category without using your brand name:

  • What’s the best [product type]?
  • Recommend a [category] under $[price]
  • I need [product] for [use case]

Count how many times your brand appears in those responses. Compare to your competitors.

That’s your AI visibility, and for most brands, it’s lower than they expect.

The 12-query framework

For a thorough audit across ChatGPT, Gemini, and Perplexity:

  1. Category search: "best [product type]"
  2. Budget: "[product] under $X"
  3. Premium: "luxury [product]"
  4. Use case: "[product] for [specific need]"
  5. Demographic: "[product] for [audience]"
  6. Comparison: "[your brand] vs [competitor]"
  7. Problem-solution: "what helps with [issue]"
  8. Gift: "[product] gift for [occasion]"
  9. Alternative: "alternatives to [competitor]"
  10. Feature: "[product] with [feature]"
  11. Purchase: "where to buy [product] online"
  12. Review: "is [brand] worth it"

8+ appearances = strong visibility. 4-7 = mixed. Under 4 = you're mostly invisible.

Real Numbers from Recent Audits

We audited real DTC brands across the same 12 high-intent queries that consumers now use in AI shopping tools.

Athletic Greens (AG1) appeared in only 3 of 12 purchase queries (25% visibility).See the full findings in Athletic Greens Audit

Everlane appeared in 4 of 11 key purchase queries (36% visibility) but was missing from most category-level recommendations.
See the full findings in Everlane Audit

Brand strength ≠ AI visibility.
The algorithm doesn’t care about your brand following or ad budget; it only cares about data quality.

Automated Audit

Don't want to do this manually? Our AI Readiness Audit runs these tests automatically. Takes 2 minutes, and it shows visibility checks automatically, measures your structured-data quality, and shows exactly where you are missing 

What Drives AI Visibility

It’s not brand recognition. It’s data readability.

AI systems recommend products that are machine-understandable, not just well-marketed. Brands that show up consistently share the same traits:

  • Complete attributes: color, size, ingredients, use-case data structured as fields
  • Contextual descriptions: clear about who it’s for and when it’s used
  • Clean schema: correctly formatted Product markup and variants
  • Consistent feeds: matching details across your site, Amazon, and reviews

Products that say “premium quality” disappear. Products that say “formulated for sensitive skin” get recommended.

Bottom Line

AI commerce visibility is the new SEO. If ChatGPT can’t understand your products, it can’t recommend them, no matter how strong your brand is.

Run an AI Brand Audit, find out how visible you really are, and make your data work as hard as your marketing.

Related:

  • About the Author

    Ankit Minocha is the founder of Atomz.ai, the leading platform for AI-powered product discovery and search optimization, and Shop2App, which helps brands retain customers through mobile apps. He helps D2C brands master both sides of growth: AI-driven acquisition and mobile-first retention.

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