# PDP Q&A AI drafts that deflect support tickets

Run product-page Q&A with AI draft replies, a clear SLA and escalation rules. Turn repeat support questions into permanent PDP answers. We make Idukki.

By Rohin Aggarwal · 2026-10-31

Support answers the same fit question twelve times a week. The product page still shows an empty Q&A box. The thirteenth shopper never writes in. They leave. A draft reply that a human publishes once stops the loop.

**Quick answer**

- **Q&A answers the doubt reviews miss.** The shopper asks; the page keeps the answer.
- **AI drafts start the reply.** A person edits and publishes. Nothing posts on its own.
- **Set an SLA.** Same-day for stock and shipping; slower is fine for taste questions.
- **Escalate health, safety, legal and refunds** to a human from the first line.
- **Seed from the support inbox** so the block works on day one.

_Figure: The same support answer, published once on the PDP, serves every future shopper with that doubt._

We make Idukki. Product Q&A lets shoppers ask on the page. Curated answers match first. AI draft answers help your team fill gaps from product data and tagged UGC. You edit before anything goes live. The wider case for the block is in [Product Q&A: the underused PDP trust tool](/blog/product-qa-the-underused-pdp-trust-tool).

## Why Q&A deflects tickets reviews cannot

Reviews talk about what past buyers chose to mention. Support tickets talk about the doubt stopping this sale. Q&A sits in that gap.

A published answer does two jobs. It helps the asker. It stays on the page for the next shopper with the same question. That is the deflection: fewer repeats in the inbox, clearer PDPs.

| Question type | Publish on PDP? | Why |
| --- | --- | --- |
| Fit, size, shade, materials | Yes | Helps every future shopper |
| Care, compatibility, what's in the box | Yes | Stops repeat "quick questions" |
| Order status for one buyer | No | Private; keep in the ticket |
| Refund already promised | No | Confirm in support; never invent in a draft |
| Allergy, safety, medical claims | Human only | Escalate before publish |

_What belongs in Q&A versus what should stay in private support._

## AI draft reply workflow

**From shopper question to published answer**
1. **Question lands** — Shopper asks on the PDP or you seed from the support inbox. (Public or seeded)
2. **Match curated first** — If a close approved answer exists, serve that verbatim. (Zero draft risk)
3. **Draft with AI** — Generate a reply from product info and tagged UGC only. (No invented facts)
4. **Human edit** — Check tone, facts, links and policy lines. Cut anything unsure. (Owner signs off)
5. **Publish on PDP** — Answer appears on the product page for every future visitor. (Permanent proof)
6. **Feed support macros** — Reuse the same wording in tickets when the question arrives privately. (One source)
_Human approval sits in the middle on purpose._

> **Hard rules for drafts:** Idukki's review and Q&A drafts are built not to promise refunds and not to invent facts. Keep that bar even if you draft elsewhere. If the model is unsure, the human writes "we'll confirm by email" or escalates.

## SLA that support can keep

An empty Q&A widget teaches shoppers not to ask. A slow one teaches them to email instead. Publish a simple SLA the team can hit on busy weeks.

- Stock, shipping cutoffs and "will it arrive by…": same business day.
- Fit, shade and routine questions: within one business day.
- Complex technical or B2B questions: acknowledge same day, full answer in two.
- Safety, legal, harassment: escalate immediately; do not auto-draft a public reply.

> **Seed before you announce the box:** Pull the eight questions support already answers every week. Publish plain answers before you promote Q&A on the page. Day-one emptiness kills usage. See the seeding notes in the [product Q&A guide](/blog/product-qa-the-underused-pdp-trust-tool).

## When to escalate

Drafts save time on known product facts. They are the wrong tool for risk.

1. Health, allergy or adverse-reaction reports: human + your compliance path.
2. Chargebacks, refunds and goodwill credits: support owns the promise.
3. Legal threats or IP claims: stop public drafting; route to the right owner.
4. Questions the product data cannot answer: say you will check; do not guess.
5. Angry threads that need a phone call: move off the PDP into private support.

_Figure: Escalation is a feature. A careful "we'll confirm" beats a confident wrong answer on a product page._

## How to know deflection is working

You do not need a vanity "AI resolved" score. Track a few ops numbers the support lead already trusts.

- Repeat ticket themes week over week for products with new Q&A answers.
- Time to first public answer on new PDP questions.
- Share of questions answered from the curated set versus net-new drafts.
- Edits required per draft (high edit rate means weak product data).

When the same question keeps arriving by email, the PDP answer is missing, buried or unclear. Fix the page. Do not stop at the support macro.

**Ops rule:** Draft with AI. Publish with a human. Escalate risk early. Seed from the inbox so the block earns trust on day one.

### Questions ops teams ask

**Q: Do AI answers post without review?**

A: They should not. In Idukki, your team edits AI draft answers in the dashboard before they go live. Keep that human gate even if you build your own flow.

**Q: Will Q&A replace reviews?**

A: No. Reviews and Q&A answer different moments. Keep both. Reviews cover lived experience; Q&A covers the blocking doubt.

**Q: What SLA should a small team set?**

A: Same-day for stock and shipping. One business day for product questions. Escalate safety or legal topics at once.

**Q: Where do I turn this on?**

A: See [Idukki Reviews](/reviews) for Q&A with AI draft answers. Or book a walkthrough of the product Q&A feature.

### Sources
- [Idukki Reviews](/reviews) — Q&A with curated answers and AI draft answers for merchant review.
- [Idukki: Product Q&A, the underused PDP trust tool](/blog/product-qa-the-underused-pdp-trust-tool) — Why Q&A complements reviews and how to seed the block.
- [Idukki feature explainer: product Q&A](/videos/explainers/product-qa) — Product walkthrough of the Q&A surface.
- [Schema.org QAPage](https://schema.org/QAPage) — Structured shape for question and answer pages when you mark them up.

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Canonical: https://idukki.io/blog/pdp-qa-ai-drafts-that-deflect-support
Tags: reviews, product-qa, support, ai-drafts, pdp, customer-service