D2C & Ecommerce

Get named when shoppers ask AI
which brand to buy.

In research-heavy categories like supplements, skincare, mattresses, appliances, and baby and pet, Indian shoppers ask ChatGPT and Perplexity which brand is best before they buy, 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.

Free 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 see whether AI is naming you at all.
Google Analytics doesn't attribute AI-referred sessions accurately, so AI discovery is invisible in your reporting. AnswerTrace measures the answers themselves: which questions name you, on which engine, in which language, and how that moves week to week. Reporting those sessions through to purchases ships in September.
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 which fix moved which shopper question.
After your team ships fixes, AnswerTrace re-runs queries and reports rate improvements mapped to the specific fixes you shipped. You see which content fix your team shipped is associated with which shopper query, by engine and language. Reporting AI-referred sessions through to purchases and revenue ships in September.
What you get

Specific outcomes, not generic reports.

🌏
All Indian language visibility, not just English
Track recommendation rate across English, Hinglish, and Hindi, plus a regional language of your choice (Tamil, Telugu, Kannada, and more) on Pro. Each language is scored on its own, so you see where the picture changes instead of assuming it does not.
🔬
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 built for AI-influenced shopping
See which query type you win and lose, per language, and which specific fix your team shipped corresponds to the improvement. Reporting AI-referred sessions through to actual purchases ships in September.

“Indian D2C brands pour budget into paid and influencer, then go invisible the moment buyers ask AI which brand to choose. That bites hardest where people research before buying; for impulse categories it is a smaller slice today. Either way it is measurable, so start with the free scan.”

Get started

Be the brand AI recommends.
See what moved, and why.

AnswerTrace measures your recommendation rate, shows you exactly where you're losing and why, lets you execute fixes directly from the platform, and reports which fix moved which question. Revenue tracking ships in September.

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