D2C & Ecommerce

Get named when shoppers ask AI
which brand to buy.

Indian shoppers ask ChatGPT and Perplexity which brand is best, in English, Hinglish, Hindi, Tamil, and more. Each language returns different answers. AnswerTrace tracks all of them, finds the gaps, and surfaces the fixes your team should ship to get your brand named.

See where you're not being recommendedFree scan · All Indian languages · No credit card
Measured across
ChatGPT
Google AI
Perplexity
Claude
The challenge

Where the gap shows up for you.

🌐
You're invisible in vernacular queries and don't know it.
A shopper asking 'best skincare brand India mein' gets completely different AI answers than one asking in English. D2C brands dominant in English can be entirely absent from Hindi and Hinglish queries. AnswerTrace measures both, so you see the full picture.
🛒
You lose consideration before the buyer reaches your page.
AI answers shape shortlists before shoppers visit a single product page. If your brand isn't named in those answers, you never enter the buying decision, regardless of your paid spend, influencer coverage, or product quality.
📦
You can't tell if AI is sending traffic or costing you sales.
Google Analytics doesn't attribute AI-referred sessions accurately. AnswerTrace reports AI queries through to sessions, product views, and purchases, so you can see whether your recommendation rate changes are reaching the register.
How it works

Four steps. One flywheel.

AnswerTrace runs the full loop: measure, diagnose, act, attribute. So you compound the right work instead of repeating everything.

1
Measure
Recommendation rate across shopper queries, in every language.
AnswerTrace runs the queries Indian shoppers actually use: category discovery, brand comparison, ingredient and use-case queries. Run in English, Hinglish, and Hindi across ChatGPT, Google AI, Perplexity, and Claude. You see your rate per language, engine, and query type.
2
Diagnose
Why competitors are named and you aren't.
AnswerTrace traces the specific gaps: missing ingredient and use-case content, weak third-party presence on Amazon reviews, press, and roundups AI engines pull from, thin schema on product and category pages, inconsistent brand positioning across surfaces.
3
Act
Publish the fixes that move your recommendation rate.
Buyer-question content drafts written for the exact queries AI engines pull from, in English and Hinglish. Schema updates and entity definitions ready to publish in one click from AnswerTrace. Citation gaps surface as a prioritized list for your team to close.
4
Report
Report AI queries all the way through to purchases.
After your team ships fixes, AnswerTrace re-runs queries and reports rate improvements mapped to the specific fixes you shipped. AI-referred sessions are reported through to purchases and revenue. You see which content fix your team shipped is associated with which shopper query, and which sale.
What you get

Specific outcomes, not generic reports.

🌏
All Indian language visibility, not just English
Track recommendation rate across English, Hinglish, and Hindi queries. Tamil, Telugu, and Kannada support coming next. The only platform that shows you your full visibility picture across India's multilingual buyers.
🔬
Query-level diagnosis by category and competitor
See exactly which competitors win 'best [category] brand India mein' and similar queries, what signals they have that you don't, and what fixes have the highest impact on your recommendation rate.
⚡
Content and schema fixes ready to publish from the platform
Buyer-question pages, ingredient and use-case content drafts, and schema updates drafted in AnswerTrace and ready to publish to your CMS in one click. Your team reviews each change before it goes live.
💰
Reporting from AI query to purchase and revenue
AI-referred sessions reported through to actual purchases. You see which query type is associated with which revenue, and which specific fix your team shipped corresponds to the improvement. The only reporting layer built specifically for AI-influenced shopping.

“Indian D2C brands invest heavily in paid and influencer, and are invisible when their buyers ask AI which brand to choose. That gap is measurable and fixable.”

Get started

Be the brand AI recommends.
Trace it all the way to revenue.

AnswerTrace measures your recommendation rate, shows you exactly where you're losing and why, lets you execute fixes directly from the platform, and attributes what changed all the way to revenue.

See where you're not being recommended
Free · No credit card · No commitment