A measured share of voice
Track where AI cites you — and where it forgets you — by category and intent. A barometer tracked over time, not a one-off screenshot.
When a shopper asks an AI for "the best product for…", it synthesizes an answer and cites a few sources. Are you in it? Measure your share of voice in generative engines and activate the product data that makes you citable.













































You carry "the AI topic" under pressure from leadership, but with no measurement method and no benchmark. You don't know whether your brand is cited, what triggers a recommendation, or how to act on it.
ChatGPT, Perplexity, Gemini cite brands every day. With no measurement tool, you don't know which prompts you show up on — or where you're absent.
Weak titles, missing attributes, flat descriptions: models have nothing to understand your products with, and therefore nothing to recommend.
Without structured, JSON-LD-tagged pages by intent, your listings exist for humans but stay opaque to generative AI crawlers.
You get asked "where are we on AI?" in meetings, and you have no number. You test prompts by hand in ChatGPT, you note when a competitor is cited and not you, but you have neither method nor KPI to report.
You measure your share of voice in AI answers, by category and by intent. Each missed prompt becomes a dedicated page to publish — powered by your enriched product data, structured to be read, understood and cited.
You query ChatGPT and Perplexity on your categories. Sometimes cited, often absent — with no clear logic.
A competitor keeps coming up. Why them? You don't have the answer.
"What's our share of voice in AI?" You have no barometer to present.
You compile screenshots. Credible once, not a KPI tracked over time.
Each benefit answers a pain: measure, understand, act and report on credible KPIs.
Track where AI cites you — and where it forgets you — by category and intent. A barometer tracked over time, not a one-off screenshot.
Feed Enrich makes your catalog interpretable by an LLM: complete attributes, rich descriptions, consistent semantics. The condition for any recommendation.
Smart Asset produces text, visuals and structured data anchored in the catalog: the material models can pick up and attribute to your brand.
Smart GEO Page publishes one page per intent — structured, JSON-LD-tagged, generated from the feed, no IT. The format generative engines can read and cite.
Signals converge: product discovery is migrating to generative engines. Being readable and citable is no longer optional.
Three modules chain together to turn your catalog into a source AI can read, understand and cite.
We measure your current share of voice on your strategic queries, identify missed intents and mock up a Smart GEO Page. You leave with your AI visibility diagnosis.
No commitment · No IT · ChatGPT · Gemini · AI Overviews