Win the AI citationfor e-commerce stores.
AI shopping experiences (Google AI Overviews shopping, ChatGPT product mode) increasingly answer 'best X' queries by citing product pages directly. Product schema is mandatory; Review schema and AggregateRating signals are differentiators.
Buyer queries we'll test for you
- →best [product] for [use case]
- →[product] reviews
- →[product] vs [competitor]
- →[product] under $[price]
Our query expander auto-decomposes your seed query into 4 intent variants (informational / transactional / comparative) — covering buyer mental modes without you needing to brainstorm.
Pain points sites like yours hit
Product pages are templated — every SKU looks the same to retrieval
Reviews are siloed in third-party platforms (G2, Trustpilot)
AI engines preferentially cite editorial reviews over product pages themselves
Schema gets stale as inventory changes
Winning tactics specifically for e-commerce stores
Add Product + Offer + AggregateRating schema to every SKU page
Embed customer reviews directly on-page (not just as Trustpilot widget) so engines parse them
Cover what/who/how/pricing for each product category in a mega-page
Cite media reviews ('featured in Wired, The Verge') with outbound links
Maintain freshness: bump article:modified_time when inventory or pricing changes
Top 5 signals to focus on
VectorCite scores 47 signals across 5 categories. For sites for e-commerce stores, these are the highest-leverage to ship first:
Ready? Run your audit.
Free, 30 seconds, no signup. See exactly where your site stands across all 47 signals.
Run free audit