AI-driven commerce discovery
Track How AI
Recommends Your Brand
Consumers are increasingly asking AI assistants what to buy. ShareOfConversation measures which brands appear in AI‑generated recommendations and how often they appear.
No signup • Real category data • Updated weekly
AI Recommended
best toothpaste for sensitive teeth
AI Recommended
best dog food for allergies
AI Recommended
best laptop for students
AI Discovery
AI Is Rewriting Product Discovery
AI is no longer just influencing discovery — it is actively deciding which products get seen, recommended, and bought.
Large language models like ChatGPT and retail AI assistants are becoming the new front door to commerce, curating products based on content quality, availability, and relevance — not just search rankings.
Share of Conversation reveals how often your brand appears in these AI-driven recommendations, where competitors are winning, and where missed visibility is costing you revenue.
Comparison
The Measurement Gap
Traditional digital shelf metrics have focused on what brands can see and control — search rankings, PDP optimisation, and ratings & reviews.
These signals remain critical, but they were built for a world where consumers browse and search.
Today, AI is reshaping discovery — recommending products directly, without a visible shelf, ranking page, or clear attribution.
This creates a new measurement gap:
brands can optimise everything on the digital shelf, yet still have no visibility into how they appear — or if they appear at all — in AI-driven recommendations.
Traditional Digital Shelf
Search visibility
PDP optimisation
Ratings & reviews
Availability
AI Discovery
When consumers ask AI what to buy, the response is no longer a list of links — it’s a curated answer.
AI prompt results determine which products are surfaced, how they are positioned, and which attributes are highlighted — shaping consideration before a shopper ever reaches a retailer.
AI assistants actively recommend products based on relevance, content quality, availability, and perceived trust.
These recommendations are dynamic and contextual — meaning brands are constantly competing for inclusion in a moving, algorithm-driven shortlist.
Share of Conversation measures how often your brand appears within AI-generated recommendations across key prompts and categories.
It provides a new layer of visibility — showing where you win, where competitors dominate, and where missed presence is costing you demand.
Prompt visibility
Prompt visibility tracks your brand’s presence across high-impact consumer queries — from generic discovery to brand-specific intent.
By understanding which prompts drive visibility, teams can prioritise content, availability, and optimisation strategies that directly influence AI outcomes.
AI Discovery
Category Intelligence Signals
AI Recommended
Baby Care
Leader
Pampers
AI Discovery Index
88
AI Recommended
Vitamins
Leader
Cantrum
AI Discovery Index
84
AI Recommended
Skincare
Leader
CeraVe
AI Discovery Index
81
AI Discovery
AI Discovery Maturity Model
Where your brand stands in AI-driven discovery
Invisible → Not surfaced in AI recommendations
Emerging Visibility → Appears occasionally, inconsistent presence
AI Competitive → Regularly appears, competing with category leaders
AI Category Authority → Consistently recommended, trusted by AI
AI Discovery
AI Commerce Intelligence Framework
This visual represents the core Share of Conversation intelligence framework.
AI Discovery
Al Discovery
Visibility Framework
Not all brands are equally visible in AI-driven product discovery.
Our AI Discovery Visibility Framework maps how often your brand is recommended (frequency) and how broadly it appears across shopper prompts (coverage).
This reveals whether you are leading, emerging, or being missed entirely — and where the biggest growth opportunities exist.
This model evaluates two key drivers of AI visibility:
Recommendation Frequency (how often your brand is suggested) and Prompt Coverage (how widely you appear across shopper queries).
AI Discovery
AI Discovery
Commercial outcomes
AI Discovery
AI discovery Scoreboard
The AI Discovery Scoreboard brings together the key metrics that define your brand’s performance across AI-driven discovery.
From visibility and recommendation share to prompt coverage and competitive positioning, it provides a single view of where you stand — and where you need to act.
Track progress over time, identify gaps, and prioritise the actions that improve your presence in AI recommendations and drive measurable commercial impact.
AI-driven commerce discovery
Preview AI-Driven Product Discovery Insights
AI Commerce Intelligence
Understand How AI Recommends — and Where You Win
We analyse AI shopping journeys end-to-end — from prompt to recommendation — so you can improve visibility, outperform competitors, and drive conversion.
We analyse how AI systems evaluate competing products — revealing which brands are selected, how often they appear, and why they win.
We benchmark results across ChatGPT, Perplexity, Amazon Rufus, and Google — exposing differences in recommendations and competitive positioning.
We quantify your visibility across AI responses — measuring how often your brand is recommended relative to competitors.
We run structured, anonymised prompt tests to simulate real shopper behaviour — tracking how recommendations change over time.
Pricing
Our Pricing Plan
Our Pricing Plan
Flexible options to understand and improve your visibility in AI-driven product discovery — from quick snapshots to full category intelligence.