DUNkē tracking 12,847 prompts globally·+34% AI mentions for Mysthelle this week·WeaverStory now cited in 4/5 engines·Banana Club ranking #2 on Perplexity·Linen Trail · 11x backlink growth · Q2·DUNkē tracking 12,847 prompts globally·+34% AI mentions for Mysthelle this week·WeaverStory now cited in 4/5 engines·Banana Club ranking #2 on Perplexity·Linen Trail · 11x backlink growth · Q2·
182 recommendation surfaces · 6 engines · resync every 4h

When a buyer asks AI about your category,
are you in the answer?

Buyers shortcut Google now. They ask ChatGPT, Perplexity, Gemini. 182 recommendation surfaces across your category decide who gets mentioned. DUNkē monitors all of them. Every 4 hours.

dunkē / commerce · recommendation-monitor · live
— ChatGPT · 2m ago · "best premium running shoes under ₹8k"
"For premium runners under ₹8k, top choices include your brand, Nike Pegasus, and Decathlon Quechua. Each excels in different conditions — daily training, long-distance, terrain..."
— surfaced · 4 of 6 engines · position #1 · sentiment positive
↑ climbingRecommendation persistence · 7d
+ 12 edgesFrequently-with graph · expansion velocity
↘ -6%Asics · Gemini surface erosion · 14d
Open intelligence environment
The problem

Discovery moved. Your dashboard didn't.

The first place a shopper goes in 2026 isn't Google. It's an AI engine. Three things change instantly: shortlists shrink, comparisons are AI-written, and the "frequently bought with" graph belongs to whoever AI decides to pair you with.

01

Shortlists are shrinking

A Google SERP has 10 organic positions. A ChatGPT recommendation has 3. Your share of the new shortlist matters more than your rank.

02

Comparisons are AI-written

"X vs Y" prompts return AI-authored verdicts. The words AI uses to describe you — accurate or not — become the buyer's mental model.

03

Frequently-with is the new aisle

AI decides which brands appear next to yours. If your competitors are paired with the right adjacent products, you lose by association — silently.

How DUNkē works

A continuous monitoring infrastructure, built for commerce surfaces.

01

Prompt corpus

For your category, DUNkē maintains 5,000+ high-intent buyer prompts — discovery, comparison, sub-category, intent-tagged.

02

Multi-engine run

Every 4h, those prompts hit ChatGPT, Perplexity, Claude, Gemini, AI Overview, and Copilot. Responses parsed for entities + context.

03

Scoring + indexing

Each mention scored by context, position, sentiment. Citations indexed permanently. Trends computed live.

04

Action + alerts

Recommendations land in your X Box. Slack alerts on drops. Approval-routed brief generation.

Placement · where AI puts you

Where AI actually places you — across engines and prompt clusters.

Switch engines and prompt types to see your recommendation surface, then zoom into the semantic cluster graph of your category.

— Engine
LIVE · synced 2m ago
— Prompt type
— Prompt tracked
"Premium running shoes vs Nike Pegasus · ₹6k–8k range"
ChatGPT

For premium running shoes in this range, your brand is often compared favorably to Nike Pegasus. Your brand tends to win on daily comfort and ethical sourcing, while Pegasus is preferred for high-mileage marathon training. Adidas Adios sits between them.

— Citation sources · 4— Position · #2— Engines surfaced · 4 of 5— Refresh · 4h continuous
Comparison cluster

Prompts where buyers ask AI to compare you against competitors. Visibility here directly shapes shortlist outcomes.

— prompts in this cluster · top 5
"your brand vs Nike Pegasus · which to buy"#2 of 3
"your brand vs Decathlon Quechua · value"#1 of 3
"premium D2C vs international runners india"mentioned
"your brand vs Adidas Adios · comparison"absent · 4 eng
"D2C running shoe brands · ranked"#1 of 5
— your visibility · by engine
ChatGPT
64%
Perplexity
52%
AI Overview
38%
Claude
41%
Gemini
28%
— strategist commentary

You own D2C-positioned comparison prompts but lose at international-comparison stage. Counter-pillar drafted.

Operations · the system underneath

How DUNkē operates.

The X Box pipeline ships intelligence end-to-end. The recommendation engine ranks every detected gap by impact — mapped to content, schema, or distribution.

— Live deliverables

Pipeline · this week

Q4 comparison pillar · drafted→ Sneha
Schema rebuild · in review→ Rahul
"Recommended-with" expansion brief+ active
Sentiment correction · 2 surfacesqueued
— Approvals

Routed to stakeholders

Q4 comparison pillar · "shoes vs Nike"
2 reviewers · 1 pending
Pending · 1
Schema · 12 PLP pages
routed · CTO
Approved
Weekly digest · founder review
auto-routed
Approved
— Strategist commentary

Human-led intelligence

R
Rahul · 14m

ChatGPT shortlist position dropped on "running shoes under 8k" — competitor pushed a bigger comparison pillar. Counter-brief drafted, routing to Sneha now.

S
Sneha · 1h

Picked up. Adding "vs Nike Pegasus" + "vs On Cloudmonster" coverage to the pillar. Schema markup ready.

— The same operational layer that runs every Age'X engagement. You operate inside it, not on top of it.

+8
— missing prompt cluster

Add comparison pillar · "running shoes under ₹8k"

Detected absence in 14 high-intent comparison prompts. Estimated impact: +8 visibility points across ChatGPT and Perplexity. Recommended structure included in brief.

Generate brief →
+6
— weak entity association

Strengthen pairing with "daily training shoe"

AI engines associate competitors more strongly with this use-case. Targeted content + schema updates can re-align entity graph within 30 days.

Open in X Box →
+4
— competitor recommendation gap

Counter "vs Nike Pegasus" prompts · 4 engines

Competitor owns the comparison narrative across 4 engines. Reverse-comparison page plus PR placement on running.review can flip 2 surfaces.

Generate brief →
+3
— AI Overview weakness

Surface in Google AIO for category roundups

Zero AIO presence in 18 tracked queries. Pillar update + structured data deployment opens AIO surface within 4–6 weeks.

Add to queue →
+2
— visibility decay detection

"Premium runner" citations falling · 18% / 30d

Likely cause: stale press coverage being deprioritized by AI. Refresh-and-distribute pattern can stabilize within 2 weeks.

Investigate →
Landscape · who is around you

The competitive landscape, quantified.

Saturation across the category, plus the recommendation graph that shows where each competitor sits in relation to you.

— Share of voice · running shoes / 30d

Category SoV breakdown

Nike
34%
YOU
28%
Adidas
22%
Asics
11%
Other
5%
— Prompt ownership · top 6 buyer prompts

Who answers what

"Best running shoes under ₹8k"YOU · #1
"Running shoes for marathon training"Nike · #1
"Premium daily training shoe india"YOU · #1
"Cushioned running shoes for long distance"Nike · #1
"Ethical running shoe brands"Adidas · #1
"D2C running shoes india"YOU · #1
RADAR · 6 BRANDS · LAST SYNC 4s AGONike velocity climbing — D2C running shoes
— Adjacent— Direct competitor— Category overlapNikeAdidasAsicsPumaHOKAOnYOU
radar · 6 brands tracked · live
Your brand
Category center · D2C running shoes · India
Share of voice28%
Active prompts342
Recommendation velocity↑ climbing
Closest competitorNike · 76% overlap

Hover any competitor node to inspect their authority signal, prompt overlap with you, and recent movement.

Pulse · live + interpreted

Always on. Always interpreted.

Live activity across the portfolio, paired with strategist commentary on what the signals mean.

dunkē-stream · realtime · all-enginesindexed · 3,247 events / 24h
18s agoGPTChatGPT · recommendation persistence climbing · resort wear cluster
36s agoPERPPerplexity · authority concentration · position #2 · D2C shoes
54s agoSystemSemantic adjacency strengthening · "ethical sourcing" cluster
1 agoGEMGemini · frequently-with graph · 12 new edges

“Your brand is visible in high-volume discovery prompts, but absent in comparison-stage recommendation environments.”

Rahul Shrivastava
Founder, The Age'X · Strategic synthesis
Operate inside the new search layer

See how AI positions your category.

A 24-hour audit of your current AI visibility — engines, prompts, citation gaps, and a prioritized fix-list. Delivered as a working document inside the X Box.