Question 1

How can an AI assistant help my store?

Accepted Answer

It closes the gap between what a shopper needs to know and what your product page happens to say. Most visitors who leave without buying are not price-sensitive, they are unsure: whether the product suits their skin, fits their space, works with the equipment they already own. Dialog answers those questions in context, on the page, at the moment of hesitation, and recommends a different product from your catalog when the one on screen is not the right fit.

Question 2

How is this different from the chatbot we already tried?

Accepted Answer

Placement and purpose. A support chatbot sits in the bottom-right corner, signals that something has gone wrong, and gets 3 to 5% interaction from the visitors who see it. Dialog sits directly below the Add to Cart button with one to three suggested questions already visible, is pre-sale only, and gets 15 to 20% interaction. Same technology family, entirely different moment in the journey.

Question 3

What does it need to know to be useful?

Accepted Answer

Your catalog and live stock are connected automatically. Beyond that, you decide: SEO articles, uploaded PDFs, and a dedicated metafield where you paste anything the catalog does not carry. Several brands upload the training manual they give new in-store staff, which is the fastest way to give the agent the same knowledge as your best advisor.

Question 4

What happens when the AI does not know the answer?

Accepted Answer

It says so rather than inventing an answer, and can redirect to a contact page, an email address or WhatsApp. Every one of those moments lands in the Missing Info dashboard, product by product, so you can see exactly which page is missing which information. Brands typically run this below 5% of conversations.

Question 5

Our product pages are already clear. Will shoppers really ask anything?

Accepted Answer

It is the objection we hear most, and the answer is almost always yes, for a reason that has nothing to do with the quality of your copy. A product page is written once, for everyone. The questions shoppers keep to themselves are personal: can I use this while pregnant, does it fit a 15 inch laptop, will it work with the model I bought three years ago. Brands with technical or niche catalogs are usually the most surprised by the volume. The Missing Info dashboard makes it concrete, listing product by product the questions the agent could not answer, which is the shortest list of product page fixes you will get.

Question 6

We do not have much traffic. Is it still worth installing?

Accepted Answer

Be honest about what you will get. A conversion lift is a percentage of a volume, so on a few hundred product page views a month the revenue effect is small and slow to prove. What does not depend on volume is what you learn: fifty conversations already tell you which objections block a sale and which page is unclear. Lower-traffic stores tend to get more out of Dialog as a research tool first, and the free tier covers 200 conversations a month, which is enough to find out.

Question 7

Can it recommend a different product when the one on the page is wrong?

Accepted Answer

Yes, and that is where an assistant parts ways with an FAQ block. When a shopper describes a need the product on screen does not meet, the agent searches the rest of the catalog and answers with the products that do, as cards with image, price and a direct add to cart. The same applies to "what goes with this?": the suggestion is built from the product being viewed, the stated use case and live stock, so it never pushes something you cannot ship.

Question 8

How do we know the extra conversions come from the assistant?

Accepted Answer

Compare like with like. Segment visitors who interacted with the agent against visitors who reached a product page and did not, then compare conversion rate and average order value between the two groups. Incremental revenue is the difference in conversion rate, multiplied by the number of visitors who used the agent, multiplied by average order value. The common mistake is subtracting the two rates across all traffic, which inflates the number. Self-selection is real, engaged shoppers were always likelier to buy, so the honest read is the lift above that baseline, confirmed by a period-over-period comparison or a proper A/B test.

Question 9

Do you offer a free trial?

Accepted Answer

Yes. You can try Dialog free for 14 days, with your real catalog and your real traffic. Setup takes about 30 minutes on Shopify, and you'll see your first results in your dashboard within 5 days, no commitment, no integration headache.

Question 10

Can I see a live demo of Dialog?

Accepted Answer

Of course. Book a 30-minute call with our team and we'll walk you through Dialog on a brand similar to yours including the dashboard, the A/B testing, and how your agent gets deployed across your site and AI assistants. Book a demo → https://demo.askdialog.com/?lang=en

AI Shopping Assistants that Boost Conversions

Watch it answer on a live product page

Build your AI-powered storefront

We train your Dialog agents

We encode your brand

We assist your visitors

Convert more by answering instantly

Recommendation that saves the sale

Boost AOV with automated cross-selling

Works with any store

Powerful AI. Real Results.

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