Questions
Start from the inbox
Find repeated questions about fit, delivery, returns, availability, comparisons, and trust before deciding what to publish.
Use case · Support-led GEO
Turn support questions into better public answers
Laris keeps GEO as a practical content layer: publish the product, policy, FAQ, and comparison answers customers repeatedly ask support.
Direct answer
Laris improves support-led GEO by turning repeated customer questions into clear, crawlable, human-visible answers that help shoppers self-serve and help AI systems understand the store.
Pages
Publish where it matters
Put answers on product pages, policy pages, collection guides, FAQs, and comparison pages instead of hiding every answer in a blog.
Consistency
Use the same source
Keep the public page, AI support assistant, human macro, schema, and channel answer aligned around the same approved fact.
Questions this page answers
Is GEO still part of Laris?
Yes, but it is secondary. Laris is primarily an AI customer support product. GEO is the content layer that grows from real customer questions.
What should a merchant publish first?
Publish stable answers to high-volume support questions: product fit, shipping, returns, availability, trust, and comparisons.