Relevance
How well the listing's title, description, tags, attributes and category match the parsed intent of the query.
Publish products for AI agents, see why every result ranks, and turn each weak listing into a specific, actionable fix.
1000mg · C. verum · In stock
$19.50
$40.00
69.3
rank score
Give AI agents structured, query-ready catalog data.
Inspect every ranking signal, reason, and score.
Get the one change most likely to lift each listing.
No black box
LLMRank scores the things AI shoppers need to recommend with confidence. The weights are public, the reasons are readable, and the next action is always clear.
How well the listing's title, description, tags, attributes and category match the parsed intent of the query.
Whether the fields an AI needs are actually filled in: description, images, price, brand, attributes, shipping, reviews.
How recently the listing was updated. Stale catalogs get answered with stale facts, so they rank lower.
In stock, with real inventory numbers, beats back-ordered or unknown availability.
Domain verification, published policies, certifications and review volume from the merchant profile.
Click-through on past AI answers. Listings agents actually pick move up; ignored listings drift down.
Two audiences. One source of truth.
Validate listings, track exposure, and draft fact-safe improvements from one console.
Expose products through MCP, REST, ACP feeds, and public discovery documents.
Return score breakdowns and ranking explanations beside each result.
POST https://thellmrank.com/mcp
{
"query": "waterproof jacket under 250",
"results": [{
"rank": 1,
"price": 219.90,
"availability": "in_stock",
"score_breakdown": {
"relevance": { "score": 91.2 },
"completeness": { "score": 100 }
}
}]
}Start with your existing feed. See what agents see. Fix what holds each product back.