Win the AI product shelf
Get your products recommended by AI before your competitor does
Shoppers now ask ChatGPT and Perplexity for product recommendations before visiting a store. LLM Metrix shows you exactly who gets recommended and precisely how to get your products into those answers.
Query
Product & category tracking
track the exact queries shoppers ask
Share
Category share-of-voice
you vs. competitors in AI answers
7
AI engines tracked
every engine we monitor, on every product query
Daily
Scan cadence
daily product-query ranks on paid; weekly if you stay free
Product discovery without a SERP
When shoppers ask AI what to buy, category pages and reviews decide who gets named.
The challenge
You don't know which products AI engines recommend (or ignore)
The solution
Mention rate, answer position and sentiment on every product and category query you track
The challenge
A competitor drops prices and quietly dominates AI recommendations
The solution
Automated alert after each scan when a competitor gains share of voice against you
The challenge
New product launches get no AI traction in the first weeks
The solution
Content and schema briefs for the launch queries you are missing, tagged critical through low
In the product
Which pages get cited when shoppers ask AI
Citation intelligence for buying questions: domains always, exact URLs when the engine returns them.
Counted across every tracked query in the scan. This grouping has no per-query breakdown.
?best AI monitoring tool
Catalog → prompts → recommendations
Track the buying questions, see where your brand lands in the answers, close the gaps.
- 01
Connect your store
Add your domain, product categories, and top competitors. No app installs, no pixel: just your URL.
- 02
We scan every AI engine
Scheduled prompts across ChatGPT, Perplexity, Gemini, Claude, Grok, Meta AI, and DeepSeek: the category and product queries you chose to track.
- 03
See your query rankings
Where your brand lands on each product and category query, with competitor share-of-voice side by side.
- 04
Close the gaps
Prioritised schema and content briefs generated from the gaps in your latest scan: the engines and queries you are missing, and what to do about each.
Commerce-facing AI signals
Answer position, citations, competitors, and the briefs that follow.
Product & category query tracking
Track the exact recommendation queries your buyers ask, and see where your brand lands on each one, per engine.
Category share-of-voice
See how you stack up against Amazon, DTC competitors, and marketplace rivals on category-level queries.
Scan-over-scan alerts
Each scan is compared with the last, so you hear when your score moves or a rival gains share of voice, in time to act before a peak.
Review sentiment monitoring
Detect when AI engines surface negative reviews or unfavorable comparisons about your products.
Content & schema briefs
Concrete next steps for the pages behind your weakest queries: what to restructure and which schema to add.
Competitor surge alerts
Automated alert after each scan when a competitor gains ground on you in share of voice, with the before and after figures.
FAQ
How product teams read the shelf
Can you track individual product SKUs, not just the brand?
How do seasonal shifts in AI recommendations get handled?
Does it work for marketplace sellers on Amazon or similar?
How fast are competitor displacement alerts?
Claim your place on the AI product shelf
Track product queries. No credit card.