Lasker finds which LLMs recommend your product, which skip it, and the exact attribute you’re missing — then tells you how to fix it.
Track, measure and improve how often each major model names your product — across every AI surface buyers use.
See the exact attribute an agent weighed when it picked a competitor instead of you — with confidence, not vibes.
Ship the fix and watch the win-rate move — measured before and after, in days rather than quarters.
Drop in your product URL. Lasker runs it through every major LLM, finds the exact attribute gaps, and ships the fix.
https://shop.ondot.com/p/stormbreak-jacket
“best waterproof hiking jacket under $250 with pit zips”
Waterproof: 10K/10K
Pit zips: No
Warranty: 1 year
Waterproof: 20K/10K (ISO 811)
Pit zips: dual YKK Aquaguard
Warranty: Lifetime
Everything between “what did the agent actually say about me?” and “how do I make it say the right thing tomorrow?”
Run a real buyer prompt through 6+ LLMs and see which SKUs each one recommends, in what order, with what reasoning.
See where your product loses to a named competitor — and what the model said instead. Every head-to-head, every topic.
When the agent picks the competitor, surface the missing or under-stated attributes — with confidence scores. Not vibes.
SKU-level score for schema, crawlability, JS-only content, titles, images, variants, attributes. A concrete fix list per cluster.
Pair attribute-gap win-loss with elasticity signals. Push price recommendations into your pricing engine with guardrails.
Generate a Catalog + Content + Activation + Pricing fix package from one insight. Approve. Deploy. Measure.
68% of buyers now start product discovery in ChatGPT, Gemini, or Copilot. They never see your homepage. They ask a question, get a list, click the first one. You’re in the list — or you’re not.
Most e-commerce teams can’t see that list. They have no way to know which prompts surface their product, which attributes the model weighted, or why a competitor won. The classic SEO toolchain stops at the agent’s doorway.
Lasker.ai opens the door.
Agent-driven revenue attributed to the fixes your team shipped. Per-prompt. Per-SKU. Per-quarter.
See the attribute gap, ship the fix, measure the win-rate lift — all in one tool. No analyst ticket needed.
Schema coverage → crawlability → citation share. The pipeline you understand, measured on the surface AI agents actually use.
Try the prototype with your own product URL. Get a real readiness report in under 60 seconds. No credit card, no integration, no analyst ticket.