Social Proof · Product FAQs
Auto-generated FAQs. Live Ask AI. On every product page.
Each product gets its own FAQs, generated from your catalog in your brand voice. Plus a live Ask AI block that answers the questions you didn't think to write.
What it does
FAQs that scale with your catalog, plus an AI that handles the long tail.
AI-generated FAQs per product
A playbook generates question-answer pairs from product data, title, description, variants, tags, price range, using your brand voice. You review and approve before publishing.
Live "Ask AI" on the storefront
Shoppers type free-text questions about the product and get an AI-generated answer in real time, with follow-up suggestion chips. No support ticket required.
Per-product content model
Each product owns its own FAQ content via the resource-slot system. No shared FAQ pages, no manual assignment, every PDP gets a tailored set.
Batch generation at catalog scale
One playbook run fans out across hundreds of products. Per-product rework if you reject and request regeneration. From zero FAQs to full coverage in hours.
Brand voice + auto-categorization
Generation uses your brand name, tone, voice, audience, and custom instructions. Categories auto-detected: general, technical, shipping, returns, care, sizing, warranty, compatibility.
Experiment + personalise
A/B test FAQ configurations against conversion through Studio. Different FAQ content per audience segment via targeting trees.
Why it matters
Unanswered questions are the silent conversion killer.
46%
Won't purchase without detailed info
Shoppers who can’t find product details abandon the cart and the page.
Salsify Consumer Research (n=5,000)
177%
Conversion lift among Q&A interactors
Visitors who engage with on-page Q&A buy at far higher rates.
PowerReviews, 1.5M product pages
700
Fewer support tickets per quarter
Nestlé Canada’s deflection after deploying product Q&A.
Bazaarvoice case study
Generation, batch, and live answering, all running today.
The full FAQ pipeline ships out of the box: generation skill, batch playbook, storefront live-answer endpoint, and the publishing layer that ties them to your catalog.
Product FAQ generation skill
LiveGenerates 1–15 FAQ items per product from catalog data + brand context. Outputs question, answer, and category. Human-in-the-loop editing table before publishing.
Batch FAQ enrichment playbook
LiveFans out generation across the entire catalog in a single run. Per-product rework workflow when a merchant rejects and requests regeneration.
Live Ask AI endpoint
LiveStorefront `POST /faq/ask` route running through the Spectrum app proxy. Shimmer loading, follow-up suggestion chips, error retries, full GA4 instrumentation.
Resource-slot publishing
LiveFAQ content stored as JSON on each product’s metafield. Storefront snippet reads it natively; experiments and personalisation use the same slot infrastructure.
Built for
Catalogs where questions drive decisions.
Apparel & Fashion
Fit, fabric, sizing, and care FAQs, the questions that prevent returns and drive size-confident purchases. AI generates them from your size guides and product descriptions.
Beauty & Personal Care
Ingredients, allergens, skin-type compatibility, application steps. Ask AI handles ingredient-by-ingredient interrogation without escalating to support.
Electronics & Tech
Compatibility matrices, technical specifications, warranty terms. AI generates from catalog data; Ask AI handles the "does this work with…" long tail.
High-consideration purchases
Jewellery, furniture, premium goods, where pre-purchase confidence drives both conversion and lower returns. FAQs that answer the doubt at the decision moment.
What it replaces
You don't need a full helpdesk just to show FAQs on your product pages.
Most FAQ tools bundle ticketing, live chat, and inbox you'll never use. Spectrum ships FAQs as a focused, AI-native capability inside the platform you already use for everything else.
How it fits the rest of Spectrum
Cross-feature integrations land here next.
Product FAQs connects to the Brand Context Engine (voice, tone, audience), Reviews (review themes seed FAQ topics), Studio (A/B-test FAQ layouts), and the Operations Agent (FAQ updates from support-ticket signals). Full diagrams arriving with the next content drop.
FAQ
Questions, answered.
A few we hear most often. Want a deeper walk-through? Book a demo.
Talk to a humanHow accurate are the AI-generated FAQs?
The generation uses your product data + brand context (tone, voice, audience, custom instructions) to write answers grounded in what’s actually on your catalog. Nothing publishes without your review, the human-in-the-loop step is mandatory by default.
Can I edit FAQs before they go live?
Yes. Every batch run hands you an editable table of generated FAQs. Edit, approve, or reject per item. Rejected items can be regenerated with the original feedback as context, so the second draft hits closer to what you wanted.
What does the Ask AI block know about my products?
It runs through the Spectrum app proxy with access to your product data, brand context, and any specific instructions you’ve configured. It does not invent specs, questions outside its grounding fall back gracefully and surface follow-up suggestions you control.
Will Ask AI slow my product pages down?
No. The snippet ships as a small Liquid block with deferred-load JS; the AI call only fires when a shopper actually asks something. The shimmer loading state keeps the experience responsive while the answer streams in.
How is FAQ content stored on my store?
FAQ content lives in a `spectrum/ai_faq` metafield on each product. Storefront-readable, exportable, and persistent even if Spectrum is uninstalled, your PDPs won’t break overnight.
See it running on your catalog.
A 20-minute walk-through. Real FAQs generated on your products, real Ask AI answering on the storefront.
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