Smart FAQs
Smarter AI answers from your own content + customer context
41 followers
Smarter AI answers from your own content + customer context
41 followers
Smart FAQs helps you turn FAQs into instant answers with a customizable FAQ widget builder powered by AI search and chatbot support — all based solely on the knowledge you provide. It includes bulk CSV imports, manual FAQ creation, internal knowledge base support, tag-based filtering, customizable themes, custom CSS styling, and a Shopify app with app blocks and embeds for quick setup.
Smart FAQs
@ben_caleb The Shopify app blocks and embeds are a nice touch. For ecommerce stores, can Smart FAQs filter answers by product/page context, or is it mainly tag-based across the whole FAQ set?
Smart FAQs
@kim_daniel Thanks! At the moment, it’s mostly tag/filter-based, but that also makes it pretty flexible. Merchants can tag FAQs and choose which ones appear on specific product or page contexts using a small JavaScript snippet in the FAQ block. We can also help set that up on our end if they share the page URL and the filters they want applied.
@ben_caleb Hi Ben, really love what you're building. Repetitive customer questions are one of the biggest time drains for Shopify store owners. I'm curious, how are you helping merchants who still get questions that fall outside their FAQ content? That gap is usually where support teams struggle most.
Smart FAQs
Hi @chinaemerem_maxwell! First of all, apologies for the late reply — we’ve been swamped with launch commitments and I’m only just catching up on the Product Hunt thread today.
You’ve actually pointed to one of the biggest challenges in customer support automation. We built Smart FAQs to be genuinely helpful while being very strict about avoiding hallucinations, which is a common issue in the AI space.
Here is how we handle those "gray area" or unconfident moments:
Seamless Handoffs: When the AI can’t confidently answer, it hands the conversation off to the merchant’s support team with full context attached, so the customer never has to repeat themselves.
Logging Unanswered Questions: We log all unanswered questions. This gives merchants a clear look at what customers are asking that isn’t covered yet, creating a direct roadmap for improving their docs.
Following up for Clarification: Before escalating, the chatbot can ask a quick clarifying question to see if the answer exists under a different phrasing - without dragging the visitor into a frustrating loop.
We’re also exploring AI-assisted drafting for gray-area questions using broader store context like product pages and policies, so support teams can review suggested replies instead of starting from scratch.
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I have heard that many companies are trying to bet on their FAQs for readability and LLM results. This seems to be a tool that supports that. Good timing :)
Smart FAQs
@busmark_w_nika Thanks for sharing that, appreciate it. Yes, that space is definitely moving in that direction. We’re hoping to make it easier for teams to turn their FAQs into answers that stay readable, reliable, and grounded in their actual content.