Industry · D2C Commerce & CPG

Own the digital shelf inside the AI's mind.

Modern shoppers have abandoned basic keyword searches. They treat AI models like personal shopping assistants and feed them complex constraints — ingredient lists, lifestyle filters, price ceilings — long before they reach a product page.

Tracked acrossChatGPTGeminiClaudePerplexityGoogle AI Overviews
Live visibility intelligence

What your AI Share of Voice report looks like.

Citation monitoring and AI recommendation share, animated over the last 12 weeks of replays. Hover or tab into the chart for engine-level breakdowns.

AI visibility · Share of Voice

D2C AI Share of Voice — your SKUs vs legacy conglomerates

12 weeks of ingredient + lifestyle constraint prompts across 8 LLMs.

Current
61/100
37 pts vs W1
020406080W1W2W3W4W5W6W7W8W9W10W11W12
Your D2C brand · PerplexityTop competitor

Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.

Share of Voice · per engine

AI recommendation share — you vs competitors

Share of recommendations across 30 days of replays for queries like 'silicone-free moisturizer under ₹800'.

The AI search reality

Buyers shop in prompts, not keywords.

Sample queries: "Find a pregnancy-safe, silicone-free moisturizer under ₹800" or "Suggest a keto-friendly, seed-oil-free snack that actually tastes good." The AI returns 2–3 recommendations and most buyers never look beyond them.

The visibility gap

Beautiful lifestyle photography is invisible to AI crawlers.

D2C brands live and die by their product attributes. If your website relies on lifestyle imagery rather than structured semantic data, AI crawlers are blind to your value. When a buyer asks for a sulphate-free product, the LLM recommends a corporate conglomerate simply because their technical backend is easier for the AI to parse — ignoring your superior indie formulation entirely.

The CiteRank AI solution

Quantitative precision for digital commerce.

CiteRank AI tracks your product's visibility across thousands of micro-targeted ingredient and lifestyle prompts. We show you exactly where AI is failing to recognize your clean labels, allowing you to optimize your schema and intercept buyers at the exact moment they ask an LLM to replace their legacy products.

Attribute integrity scoring

Verify that AI correctly identifies and recommends your products based on specific USPs — Vegan, Anti-Tarnish, Sugar-Free, Silicone-Free.

Dupe & switch interception

Measure how often AI recommends your product as a superior, cleaner alternative to a legacy competitor.

Category dominance

Track your Share of Voice across high-velocity Quick Commerce and long-tail e-commerce AI queries.

SKU-level prompt mapping

Every hero SKU benchmarked against the top 5 competing products on every relevant prompt.

Lifestyle constraint coverage

Pregnancy-safe, keto, gluten-free, vegan, fragrance-free — we map the constraint vocabulary AI actually uses.

Marketplace vs DTC routing

See when AI sends buyers to Amazon, BlinkIt or Nykaa instead of your own site — and what to fix.

See which products AI is recommending instead of yours.