Your store's first read
When your position opens, CITAQ reads your catalog and scores every product on its own — a 0–100 citation-readiness score per SKU, not a store-wide average.
Waitlist — next batch
CITAQ scores how well AI agents — the ones now shopping, comparing, and buying on behalf of customers — can understand your store. If they can't parse your products, they can't recommend them.
Founding store positions are at capacity. The waitlist is the ordered queue for the next batch.
Partially agent-ready
Agents can find this store's products — but miss the details that drive a recommendation.
Example data. Your store gets its own read when your position opens.
When your position opens, CITAQ reads your catalog and scores every product on its own — a 0–100 citation-readiness score per SKU, not a store-wide average.
Each score comes with the exact fields and signals AI agents couldn't find in that product's page — ordered by how much fixing each one moves the score.
Fix a gap and the score updates. CITAQ re-reads products as they change, so readiness doesn't drift while you're not looking.
One email address claims a position. When it opens, CITAQ reads your catalog product by product.