We tested multiple AI models inside our WooCommerce chatbot — here’s what we learned

Hey Product Hunt 👋

We recently ran a simple test inside Fabio AI Chatbot (our WooCommerce plugin connected to stores with a 1000 products catalogs).

We asked different AI models the exact same product query:

“I am looking for a power bank that can last 10 hours and costs less than 50 USD”

All models gave correct answers — but the differences were more about how they answered than what they answered.

Here’s a quick breakdown:

• ChatGPT 5.3 Instant (~5s)
  Returns multiple relevant products
  Clean, structured, easy to scan
  → Feels like a strong default for ecommerce

• Gemini (Flash / Lite ~8.5s)
  More verbose, more context
  Slightly more “human” tone
  → Better for conversational UX

• Mistral (2.2s – 3.3s)
  Very fast
  Often returns a single best match
  → More like a decision engine than a search assistant

You can read the full test on our blog, yet what we found interesting is that:

👉 It’s not really about accuracy (they all work)
👉 It’s about the type of experience you want to create

• Do you want to give users options?

• Or guide them with more context?

• Or just give the fastest possible answer?

We’re currently defaulting to ChatGPT for balance, but depending on the store, the “best” model can change a lot.

Curious to hear from other makers here:

👉 What matters most for you in an AI chatbot: speed, multiple results, or conversational tone?

Would love your feedback 🙌