Product catalog Schema.org missing
Most D2C brands skip structured data entirely. Without Product schema, AI engines can't read your prices, reviews or availability — they recommend rivals who have it.
AI recommends rivals over your D2C brand — here's the fix.
LensCore probes 5 AI engines with 25 D2C buying questions to show exactly where Instagram-first and WhatsApp-commerce brands disappear from AI answers — and the paste-ready fixes to get recommended instead.
Instagram bio doesn't transfer to AI
Your 150K Instagram followers don't help you in AI answers. AI engines read websites, knowledge graphs and citation sources — not social follower counts.
COD/UPI trust signals invisible to AI
Indian D2C buyers look for COD and UPI on your site. If AI can't find these trust signals, it recommends brands that make payment options obvious.
WhatsApp catalog not indexed
Your WhatsApp Business catalog is a closed garden. AI engines can't read it. You need a website source-of-truth that AI can crawl.
AI answers questions like yours
When a buyer asks… does AI name your brand?
best skincare brand for oily skinaffordable sustainable fashion brands Indiabest D2C supplements for weight losswhere to buy organic home decor onlinetop Indian D2C beauty brands
We generate 25 questions tailored to your exact category.
How it works for D2C brands
Step 1
Tell us your store
Paste your website or Instagram URL. We adapt 25 buying questions (8 free, all 25 in the audit) to your specific D2C category — skincare, fashion, supplements or any other.
Step 2
5 engines go to work
ChatGPT, Gemini, Claude, Perplexity and the Lenscore Retrieval Engine answer each question. We record every brand named — yours and your rivals.
Step 3
Fix what AI can't see
Priority fixes for Product schema, Instagram-to-AI gap, COD/UPI trust signals and WhatsApp catalog indexing — written for your team, no developer required.
Frequently asked questions
How does the AI audit work for D2C brands?
LensCore probes 5 frontier AI engines (ChatGPT, Gemini, Claude, Perplexity and the Lenscore Retrieval Engine) with 25 buying questions (8 on the free scan, all 25 in the audit) specific to your D2C category. It measures how often each engine names your brand, recommends competitors and what citation sources it trusts.
What D2C categories does LensCore support?
LensCore works for any D2C brand — skincare, fashion, supplements, home decor, electronics, food & beverage and more. The buying questions adapt to your specific category.
Will this help my Instagram-first brand?
Yes. Instagram-first brands often have strong social presence but weak website and knowledge-graph signals. LensCore identifies exactly where AI engines can't find you and gives paste-ready fixes.
How is this different from a social media analytics tool?
Social analytics measure engagement on Instagram. LensCore measures whether AI engines recommend you when a buyer asks 'best skincare brand for dry skin' — a completely different signal that directly drives purchase decisions.
Ready to see how AI sees your D2C brand?
Free scan · 90 seconds · no credit card required.
Run your free D2C audit