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Why SO-ME is Offering AI Readiness Audits - And Why We’re Uniquely Positioned to Support Ecommerce Brands

AI is changing how people shop faster than most brands realise. The winners won’t be those with the biggest ad budgets, but those with the clearest product data. That’s why SO-ME is pioneering one of the first AI Shopping Readiness Audits: to help fashion and ecommerce brands stay visible when shopping assistants are doing the searching.


Why Now? The Urgency of AI Shopping Readiness

Consumers are already moving away from typing into search engines and towards asking AI shopping assistants like Amazon Rufus, ChatGPT, and Perplexity to find products.

  • 43% of U.S. adults are now aware of AI shopping assistants, though only 14% have used one so far (Digital Commerce 360).

  • ARK Invest projects that AI-driven shopping will generate $9 trillion in sales by 2030, about a quarter of all retail transactions.

  • Brands that have structured their feeds for AI queries are already seeing conversion lifts of 30–40% (Grid Dynamics).

This shift puts product data, not ad spend, at the centre of visibility.


The Problem: Most Brands Aren’t Ready

In our conversations with ecommerce managers, the same pain points come up again and again:

  • Messy feeds with inconsistent titles, missing attributes and vague descriptions.

  • Over-reliance on paid ads to cover gaps in visibility.

  • SEO strategies written for Google, not for conversational queries.

  • Siloed teams where marketing understands the customer but IT manages the feeds, and no one takes ownership of readiness for AI shopping.


One ecommerce manager said it bluntly on Reddit:

“We’ve been throwing money at ads while ignoring our product data. Now that AI assistants are live, I’m worried our products won’t even show up. Nobody on my team knows how to check.”

Why SO-ME? Our Unique Perspective

SO-ME was built where fashion, ecommerce, and AI meet. We’re not a generic consultancy. We’ve been working with messy product data for years and we know how to make it work for discovery.


Here’s what sets us apart:


  1. Shopper-first mindset

    • SO-ME started as a shopping platform for Gen Z and Millennial consumers.

    • We built around how people actually search and swipe, not how databases are structured.

  2. AI + SEO expertise

    • We understand both sides: how shoppers phrase their questions and how AI interprets them.

    • We align product data with natural language, not just technical specs.

  3. Hands-on with real feeds

    • We’ve processed more than 20,000 fashion products across affiliate networks and marketplaces.

    • We’ve built tagging systems, AI classifiers, and affiliate integrations ourselves, so our recommendations are practical, not theoretical.

  4. Deep fashion knowledge

    • Fashion isn’t like electronics or groceries. It’s built on styles, cuts, and vibes that are hard to categorise.

    • We know how to capture these nuances in data so your products can be found in conversational queries.


What Our AI Readiness Audit Covers

Our audit is detailed and designed for action. We cover:

  • Product Feed Health: where attributes are missing, inconsistent, or unclear.

  • Conversational Query Mapping: whether your products appear in real-world shopper queries.

  • SEO and Data Alignment: making sure your content and feeds reinforce each other.

  • Competitor Benchmarking: how your readiness compares to similar brands.

  • Action Plan: a prioritised roadmap that shows what to fix first.

The Competitive Advantage

Preparing now gives you a head start.

  • Early visibility: you show up in AI-driven discovery before your competitors.

  • Reduced reliance on ads: stronger data means you don’t have to overspend to stay visible.

  • Future-proofing: when ad formats arrive for AI shopping, your products will already be structured to benefit.

Brands that act early will claim the advantage twice — once now, and again as AI shopping becomes mainstream.

FAQs

What is an AI Shopping Readiness Audit? It’s a review of your product data, feeds, and ecommerce setup to check whether your products would surface in AI shopping assistants like ChatGPT or Amazon Rufus.

Why is this especially important for fashion brands? Fashion discovery is built on language and context. If your data doesn’t say “slip dress in chocolate satin” or “cropped tailored blazer,” AI won’t show your products, even if you sell them.

Is this the same as a standard SEO audit? No. SEO audits focus on search engines. Our audits focus on conversational discovery and AI assistants, which operate differently.

How long does it take? Usually 2–3 weeks depending on the size of your catalogue. You’ll get a written report and an actionable roadmap.

Closing: Why We’re Doing This

At SO-ME, we’ve felt the frustration of messy data and the opportunity of AI-driven discovery. We know most consultancies don’t speak both languages — the language of shoppers and the language of machines.

That’s why we built our AI Readiness Audits. To help brands see where they stand today, fix the gaps, and secure visibility when shopping assistants become the default path to purchase.

Because in this new era, visibility isn’t optional. It’s survival. Learn more about AI Agent Shopping Audits




 
 
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