Shoppers ask AI what to buy. AI doesn't say your brand.
Get recommended when AI answers 'what should I buy?'
Consumers now ask ChatGPT 'best running shoes under $150' or 'top skincare for acne.' The AI gives a confident answer with specific product recommendations. If your products aren't in that answer, you lost the sale before the buyer ever saw a product page. We put your products in the AI answer.
Industry Snapshot
- 37% Of product research now starts in AI
- 1 Answer — AI gives one recommendation, not ten
- 5x Higher conversion from AI recommendations
The E-Commerce AEO Problem
- ChatGPT recommends competitor products when shoppers ask about your category
- Perplexity product roundups feature every brand except yours
- Your product data isn't structured for LLM parsing and recommendation
- AI models have outdated or incorrect information about your product line
How We Solve This
Step 1: Product recommendation audit
We test hundreds of buying queries across ChatGPT, Perplexity, and Gemini to map exactly which products get recommended in your categories and why yours don't.
Step 2: Product entity engineering
We optimize your product data, reviews, specifications, and content so AI models can confidently recommend your products. Structured claims, comparison-ready formatting, authority signals.
Step 3: Recommendation monitoring
Track which of your products appear in AI recommendations and which competitor products are being recommended instead. Continuously optimize to expand your share.
Who This Is For
- E-commerce brands watching AI steal product discovery from Google Shopping
- Product marketers who need to own the AI recommendation layer
- DTC brands whose products should be the AI-default in their category
- E-commerce leaders who understand the buyer journey has permanently changed
Frequently Asked Questions
Can AI recommendations actually drive e-commerce sales?
Absolutely. When ChatGPT recommends a specific product, the buyer goes directly to purchase. There's no comparison shopping, no bounce. It's the highest-intent traffic source that exists today.
How do you get products recommended by ChatGPT?
ChatGPT builds recommendations from product reviews, expert content, structured data, and brand authority signals. We optimize all of these systematically so the model has high confidence recommending your products.
Does this work for large product catalogs?
Yes. We prioritize your hero products and top categories first, then scale across your catalog. The system we build is templatized to handle thousands of SKUs.
Which product categories work best with AEO?
Any category where buyers research before purchasing — electronics, beauty, fitness, home goods, fashion. If someone types 'best [product] for [use case]' into ChatGPT, your product should be the answer.
How do you handle seasonal products in AI recommendations?
We time optimization pushes around seasonal buying cycles. Gift guides, back-to-school, holiday shopping — we ensure your products are the AI recommendation before the buying surge hits.
What's the typical timeline to see AI product recommendations?
Most products start appearing in AI recommendations within 45-60 days. We prioritize your hero products first for fast wins, then scale across your catalog systematically.
Does AEO work for DTC brands with limited review history?
Yes. We build authority through expert content, structured product data, and strategic third-party mentions. You don't need thousands of reviews — you need the right signals in the right places.
How do you measure the revenue impact of AEO?
We track AI-sourced traffic through attribution models, monitor direct and branded search lifts from AI mentions, and tie everything to actual purchase conversions. You see exactly how many sales AI recommendations drive.