Step 01 · Raw material
Feed Enrich
A feed audited and enriched by AI: complete attributes, rich descriptions, normalized data. Clean, machine-readable product data, the foundation of any AI recommendation.
Explore the module Use case · Be visible in AI When AI recommends a product,
When AI recommends a product,
is it yours?
The buying reflex is shifting to generative engines: ChatGPT, Gemini, Perplexity, AI Overviews. They don't read your ads — they read your product data, your content and your pages. The method: a clean feed, multimodal content anchored in the catalog, and pages dedicated to each intent designed to be cited.
Modules used
Feed EnrichSmart AssetSmart GEO Page
−25%of traditional search
by 2026 (Gartner)
by 2026 (Gartner)
1 prompt= 1 page dedicated
to the intent
to the intent
JSON-LDreadable by
AI agents
AI agents
The problem
AI answers in your place — without citing you.
A buyer asks an AI for “the best retinol serum for sensitive skin”: it synthesizes an answer and cites a few sources. If your product data is poor, your content scarce and your pages unreadable to machines, you're not in the answer — and you don't even see it in your analytics.
Mute product data
Weak titles, missing attributes, flat descriptions: the models have nothing to understand — and therefore recommend — your products.
Too little content to cite
Without rich content (descriptions, comparisons, visuals, videos) anchored in your catalog, AI has no material to draw on and attribute to your brand.
Pages unreadable to agents
Without structured, marked-up pages (JSON-LD) by intent, your PDPs exist for humans but stay opaque to the crawlers of generative AI.
The method
Three modules, from raw data to the citation.
Being visible in AI isn't about optimizing keywords. It's about giving the models raw material they understand, enriching it with citable content, then publishing it on pages dedicated to each intent — structured to be read, understood and reused.
Step 02 · Content
Smart Asset
The multimodal GenAI studio: text, images, videos and structured data anchored in the catalog. The citable material that models can draw on and attribute to your brand.
Explore the module Step 03 · Publication
Smart GEO Page
A generative page dedicated to each intent/prompt — clean URL, structured content, JSON-LD — produced from your feed, no IT required. The format generative engines know how to read and cite.
Explore the moduleA brand cited in AI answers
Understood data, citable content, pages dedicated to each intent: you go from absent in answers to cited source — on the long tail as well as on your strategic queries.
The conditions for being cited
Be understandable, rich & findable.
The same enriched product source feeds the three conditions for the citation: data the model understands, content it can reuse, and a page it can reach and exploit. One without the others isn't enough.
Data the models understand
A product described in depth — use, target, context, attributes — becomes interpretable by an LLM, which can then recommend it appropriately.
- Complete & normalized attributes: material, use, target, compatibilities
- Rich AI-generated descriptions, validated against real data
- Consistent product semantics across the entire catalog
A page built to be cited
Instead of a generic PDP, a page per intent: structured, JSON-LD marked up, fed by your assets — aligned with how an AI reads and summarizes a source.
- A dedicated page per prompt / use case, at catalog scale
- Multimodal content + JSON-LD readable by agents
- Generated from the feed, published with no IT or CMS
A single source of truth
Feed, assets and pages share the same enriched data: zero inconsistency between what your catalog says and what the AI reads.
The entire long tail
A recipe applied to the whole catalog covers thousands of intents, not just your headline products.
Measured visibility
We track your share of voice in AI answers and the prompts you are — or aren't — cited on.
The combination in action
From the missed prompt to the cited page.
The full journey: measure where you're absent from AI answers, identify the intents to cover, then publish the dedicated pages that make you citable — on your enriched data and assets.
The proof
Search is shifting toward AI.
The signals converge: product discovery is migrating to generative engines. Being readable and citable is no longer optional.
−25%
of traditional search volume by 2026 (Gartner)
800M
weekly ChatGPT users
0
citations if your data isn't readable by agents
Demo · on your catalog
See whether AI cites you.
We measure your current share of voice in AI answers on your strategic queries, identify the missed intents and mock up a Smart GEO Page on one of them. You leave with your AI visibility diagnosis. No commitment.
Request a demoNo IT · Generated from your feed · ChatGPT · Gemini · AI Overviews
Measurement of your share of voice in AI answers
List of missed intents/prompts, prioritized by value
Smart GEO Page mockup fed by your assets
Feed Enrich + Smart Asset + Smart GEO Page, wired to your feed
Take action
Become the source AI cites.
Machine-readable product data, citable multimodal content, pages dedicated to each intent: you go from absent in generative answers to recommended brand — across the entire long tail, measured over time.
No commitment · No IT · Readable by AI agents