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Citable is the autonomous revenue engine for agentic commerce. We measure how AI agents decide what shoppers buy, act on what we find, and prove the results in orders. When a buyer asks ChatGPT, Perplexity, or Gemini which product to choose, the whole decision happens inside that conversation: the assistant compares options, weighs reviews and trade-offs, and recommends a shortlist. The buyer arrives at checkout already decided, and you record the order without ever learning who asked, what you were compared against, or why you won or lost. Citable makes that decision measurable. The platform watches how AI assistants answer your buyers’ real questions, explains why you’re recommended or passed over, and turns those gaps into concrete work, so high-intent AI traffic becomes revenue you can measure. AI agents shape the decision; humans still check out on your storefront. Citable connects the two. It’s built for merchants selling high-consideration ecommerce products: wedding, pet, wellness, beauty, consumer electronics, and similar considered purchases, plus the agencies that serve them. The deepest integrations are for Shopify and DTC brands (storefront, Google Analytics), where Citable ties AI visibility to actual orders. It applies to any brand whose buyers research with AI before they buy.

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What you get

Measure — AI visibility scans

Run real buyer prompts on ChatGPT, Perplexity, Gemini, Claude, and Grok. See which questions cite you, which mention you, and where competitors are winning instead.

Explain — why you win or lose

The Action Engine turns scan results into a prioritized, explained to-do list: write this page, fix this FAQ, reply to this thread, run this ad — each tied to a gap it closes.

Act — content tools

Brand Studio drafts hub content. Broadcast fans it out into LinkedIn, Reddit, X, and blog spokes — each tuned for the platform and the sources AI engines trust.

Prove — outcomes, not activity

Thirty days after you publish, Citable measures whether citation rate and share of voice actually moved, and joins AI-referred traffic to real sessions. The loop closes.

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Why it matters

AI assistants are becoming the front door to buying. The shopper who used to type a query into Google and click through ten blue links now asks an assistant to compare three options and recommend one. If you’re not in the answer, you’re not in the consideration set — and even when you win, the why stays invisible unless you instrument it. The scale of the shift is measurable:
  • AI-referred traffic to US retailers grew 393% year over year (Adobe, Q1 2026).
  • AI-referred buyers convert 42% better — up to 4x versus Google Search, per public industry data.
  • 43% of shoppers researched a purchase with AI in the last 90 days.
  • US agentic commerce is projected to reach $300–500B by 2030 (Bain, Dec 2025).
The brands that win this surface show up across multiple AI engines, publish content assistants actually trust enough to quote, get recommended alongside category leaders, and can trace AI traffic through to orders. Citable is built around those outcomes.

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How a typical week looks

  1. Your scan runs in the background and updates your dashboard.
  2. The Action Engine shows you the three highest-impact things to do this week.
  3. You approve them. Citable drafts the content, lines up the spokes, and queues the work.
  4. You ship — post the LinkedIn, publish the blog, file the technical fix.
  5. Thirty days later, you see what moved.

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Explore the docs

Quickstart

Connect your domain, run your first scan, and review your first set of recommendations — three minutes of setup.

Concepts

How AI citations work, what Citable measures, the persona model, and the five action types we recommend.

Features

Brand Studio, Broadcast, the Action Engine, the content audit, and paid campaigns.

Integrations

Connect Google Analytics, Google Ads, and Reddit to close the loop on attribution and inputs.
For developers and agents building on Citable’s data, see the API Reference.