New

Shopify launched Agentic Storefronts. We make AI agents recommend you - not just list you.

See the Shopify integration
Tru Commerce
PricingStart free →

USE CASE · PERPLEXITY

Perplexity shows its sources. That makes it the clearest scoreboard you have.

Every Perplexity answer cites the pages it drew from, so your presence is measurable to the URL. Tru Commerce tracks which of your pages get cited, which competitor gets cited instead, and what to change.

measured first-party·your brand, your data·no redirect

Perplexity answers buying questions with an explicit citation list, then increasingly supports purchase inside the answer. Because the citations are visible, it is the surface where cause and effect are easiest to prove.

PROOF

22% → 56%

House of Zelena's mention share across three LLMs over 6 months, moving #6 → #1 (Tru Commerce case study)

On Perplexity

Discover. Recommend. Transact.

01 · Discover

Track every citation Perplexity awards in your category, by URL and by competitor.

02 · Recommend

Build the citable, question-shaped pages Perplexity prefers to quote.

03 · Transact

Connect checkout so a cited recommendation can close in-answer.

What powers it

The Tru Commerce products behind Perplexity

How Perplexity works

What decides whether it recommends you

Citations are public, so measurement is exact

Unlike surfaces that hide their reasoning, Perplexity names its sources. You can see precisely which page earned the mention - and which competitor page beat yours.

It rewards specific, answerable pages

Pages built around one clear question with concrete, checkable facts get quoted. Broad category pages and marketing copy rarely do.

Freshness carries real weight

Perplexity leans toward recently updated sources for commercial questions. A definitive page that is refreshed keeps its citation; one that goes stale quietly loses it.

Third-party mentions compound

Reviews, comparisons and editorial coverage feed the same answer. Your owned pages set the floor; earned mentions raise the ceiling.

Case study

From #6 to #1 across 3 LLMs

FAQ

Common questions

Publish pages that answer one specific buying question with concrete facts, keep them current, and make sure your product data is machine-readable. Perplexity quotes sources it can verify - specificity beats volume.

← All AI surfaces

Find out where you stand on Perplexity.

Book a demo or talk to founders