Insights
A knowledge layer for supplement-store AI.
Articles, internal playbooks, and quick answers all draw from the same approved store context that powers the assistant and catalog dashboard.
Ask the knowledge layer
Turn store context into quick answers.
Ask about supplement recommendations, order lookup boundaries, product claims, Squarespace data, catalog rewrites, or human handoff rules.
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Operator tool
Stack Fit Checker
Review goals, current products, sensitivities, and routine timing before suggesting a stack.
Operator tool
PDP Rewrite Score
Flag thin descriptions, missing warnings, weak FAQs, and unclear value propositions.
Operator tool
Order Exception Monitor
Summarize delayed, partial, or action-needed orders into support-ready notes.
Safety
How to keep supplement recommendations helpful without overclaiming
A claims-safe guide for product copy, chatbot answers, and customer education.
Squarespace
The Squarespace fields your AI assistant should understand first
Order id, fulfillment status, customer email, product SKUs, discounts, and shipping state.
Chatbot
Turning ingredient label photos into better product-fit conversations
Use label scans to ask better follow-up questions, compare ingredients, and suggest cleaner alternatives.
Support
When to hand a shopper from AI to a human
Medical advice, refund decisions, account changes, chargebacks, and anything that needs judgment.
Catalog
A weekly AI workflow for supplement catalog cleanup
Audit pages, queue rewrites, check claims language, and prepare Squarespace updates.
Growth
Building bundles around real customer goals
Recovery, sleep, digestion, energy, and strength routines make cleaner bundle logic than generic discounts.
Knowledge guardrail
The assistant should answer from approved resources. If the knowledge base does not cover a claim, product safety concern, refund decision, or account change, it should ask for human review.