Amazon India
AI Share of Voice +0.98% across 6 categories.
+0.98%
Share of Voice
+2.4%
Top-5 Presence
+5.53%
Price Competitiveness
−2.5%
Absent Rate
The problem
Amazon India needed visibility into how AI-driven shopping queries surfaced their selection across categories — and where they were losing position to competitors inside the same answer.
The intervention
- 01Tracked LLM-cited products across ChatGPT, Perplexity, and Google AI Overviews across 6 categories
- 02Built ground-truth dashboards mapping AI Share of Voice against catalog presence
- 03Identified Top-5 inclusion gaps and price-competitiveness signals at the SKU level
- 04Reported weekly across Jan W1 → Feb W2 with action queues
The result
In 6 weeks, AI Share of Voice rose +0.98%, Top-5 presence rose +2.4%, price competitiveness rose +5.53%, and absent-from-answer rate fell 2.5% — all measured first-party, not modeled.
In their words
“Tru Commerce transformed how we track our brand visibility. We've seen a 260% increase in AI search mentions since we started measuring AI Share of Voice across our categories.”
Ankita Bajaj Shankar
Senior Brand Manager · Amazon India
Key lessons
Lesson 01
First-party tracking beats modeled estimates — every metric here was measured, not projected
Lesson 02
Top-5 inclusion is the single highest-leverage move in marketplace AI Share of Voice
Lesson 03
Price competitiveness is an AI signal, not just a buyer signal — agents read it and rank on it
Lesson 04
Six categories tracked weekly is the minimum to spot weekly drift before it compounds
ROI summary
Investment
Tracking platform retainer
Outcome
Multi-category SoV uplift in 6 weeks
Window
Jan W1 → Feb W2
The lesson
AI marketplaces don't reward generic SEO. They reward specific, structured product truth — and they punish absent inventory. Measure the gap, close it, and move presence in weeks.