Real problems. Measurable outcomes.

A Shopify apparel brand with 10,000 SKUs discovers their products never appear when customers ask Perplexity for outfit recommendations, despite ranking on Google.

VritantAI runs a GEO audit, identifies missing Product schema and incomplete size/color attributes. The fix executor patches 400 PDPs in one batch approval. Citation benchmarks are set to run weekly.

Within four weeks, Perplexity citation rate climbs from 0% to 18% for primary target queries. The brand now appears in AI-generated gift guides for the first time.

An supplements DTC brand notices customer support tickets referencing ingredient lists and certifications that don't exist. ChatGPT has been fabricating product specs for six months.

VritantAI's hallucination monitor runs daily sweeps across GPT-4o, Perplexity, and Gemini. Critical-severity events are raised for every fabricated claim. The team uses the side-by-side comparison to draft correction content.

All fabricated claims are identified and flagged within 48 hours. A structured data patch and updated product descriptions reduce the hallucination event rate by 60% over 30 days.

An electronics WooCommerce store struggles with high pre-purchase drop-off. Customers have detailed compatibility questions that the static FAQ doesn't answer, so they leave to search elsewhere.

VritantAI's storefront agent is embedded via a single Shadow-DOM script. The catalog is ingested and the agent answers compatibility, spec, and availability questions in real time, grounded only in verified SKUs.

Agent-assisted sessions show a 22% higher add-to-cart rate. The hallucination guard ensures zero incorrect compatibility claims are surfaced. Support ticket volume drops by 31%.

A fashion brand runs an active WhatsApp broadcast list but has no way to convert replies into sales. Every product enquiry requires manual staff response, limiting scale.

VritantAI's WhatsApp Commerce channel is connected to the brand's catalog. The AI agent handles product discovery, size guidance, and cart creation, with checkout links sent directly in-thread.

In the first month, 38% of WhatsApp product enquiries result in a completed checkout without human intervention. Average response time drops from 4 hours to under 30 seconds.