Reviews are infrastructure, not decoration

Reviews decide conversions on the page, rankings in search, and citations in AI answers. Most stores collect them accidentally and answer them never.

Review programmes usually stop at an automated "leave a review" email. That leaves three layers of value uncollected: response, which is trust-building performed in public; placement, where the right review answers a specific objection on the page; and structure, where marked-up ratings feed search results and AI answers. Retention runs collection and response; Visibility handles placement and markup.

Collection that actually converts

Review volume is mostly timing and friction. The ask has to land after delivery and first use — not after checkout — and answering it has to take a minute, not a form-filling session.

  • Requests timed to delivery confirmation plus a category-specific usage window

  • Friction stripped to a rating and an optional sentence, expandable for the motivated

  • Follow-up sequenced for non-responders without becoming pestering

  • Photo and detail prompts for the products where visual proof sells

Respond, especially to the bad ones

A visible, specific response to a critical review is read by every future shopper who finds it — that is the audience that matters. The agent drafts responses that address the substance without corporate boilerplate, flags the ones needing a human decision, and routes recurring complaint themes to Analyst as product signal.

Put reviews to work on pages and in search

A review answering the exact hesitation a page produces — sizing, durability, "is it worth it" — belongs next to that hesitation, not buried on page six of a widget. Visibility surfaces the right excerpts in the right places and keeps review structured data valid, which is what makes ratings eligible to appear in search results and quotable by AI engines.

How it works

01

Fix collection timing

Requests move to delivery-plus-usage timing with minimal friction; volume typically follows.

02

Respond and route

Responses drafted for review, escalations flagged, recurring themes fed back as product signal.

03

Surface and mark up

The most objection-relevant excerpts placed on pages; structured data kept valid across the catalogue.

What you get

  • Review volume lifted by timing and friction fixes, not begging

  • Every review answered, with critical ones handled while they are fresh

  • Review content placed where it answers real objections on the page

  • Valid review markup feeding search results and AI answers

Frequently asked questions

Should negative reviews be suppressed?

No — beyond the ethics, uniform five-star walls read as fake to shoppers and to ranking systems. A well-answered critical review does more for trust than another five-star one.

Are AI-drafted responses appropriate?

Drafted, yes — sent unread, no. The agent produces specific, substantive drafts and you set which categories need human sign-off. Generic thank-you responses are worse than silence.

Do reviews really affect SEO?

Yes, in several ways: fresh unique content on product pages, ratings eligible for search result display through valid markup, and review content being exactly what AI engines quote when describing products.

What about incentivised reviews?

Incentivising the act of reviewing — not the sentiment — is generally acceptable with disclosure, but rules differ by platform and market. The agent flags where a practice would cross a policy line.

Put the team to work on your store

Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.