cashcrown // For online stores
AI for e-commerce: more conversions, less support load
A shopping assistant, automated returns/complaints handling, product copy and SEO/AEO at scale.
01
Challenges we hear
- Repetitive questions about delivery, returns, sizing
- Hundreds of product descriptions to write and optimize
- Low visibility in search and AI models
02
How we help
01
Shopping assistant
Recommends products, answers FAQ and handles returns — offloads support.
02
Product content
Generate + optimize descriptions and SEO/AEO across hundreds of SKUs.
03
Visibility audit
Instant SEO/AEO audit of the store with priorities.
03
proof bundle
Proof bundle: store support, lead engine and AEO visibility
This vertical is based on the public e-commerce guide, Lead Engine, Rank Sentinel and audit tools. We show what can be measured before a pilot: support, content, visibility and lead quality.
122k
contacts in Lead Engine proof
3066
keywords in Rank Sentinel proof
3x
support, content, visibility
04
Pilot path
step 1
1. Audit and data
We check the catalogue, product sources, policies, FAQ, cart events and technical visibility.
step 2
2. Assistant and content
We launch RAG for customer questions and product-copy generation with human approval.
step 3
3. Measurement and follow-up
We measure enquiries, lead quality, SEO/AEO visibility and topics that need work after the pilot.