Relevance
30%How well the listing's title, description, tags, attributes and category match the parsed intent of the query.
AI-SEO infrastructure
LLMRank is a search backend for language models. Merchants register products and services, LLMRank scores them across six transparent components, and AI agents query them as callable tools over the Model Context Protocol or a plain REST API. No black box: for any listing and any query you can see the per-component score, the reason for it, and the single change that would raise it most.
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.
Six tools over Streamable HTTP MCP, plus REST equivalents. Authenticate with a merchant API key from the console.
POST https://thellmrank.com/mcp
search_products ranked search with score breakdowns
get_product_details full listing detail
compare_products side-by-side comparison
check_availability live stock and price
get_merchant_info trust status and policies
explain_ranking why this listing ranked here
GET|POST https://thellmrank.com/api/v1/search
GET https://thellmrank.com/api/v1/products
GET https://thellmrank.com/api/v1/products/{id}?explain=<query>
GET https://thellmrank.com/api/v1/feed.json
POST https://thellmrank.com/api/v1/feed/update
POST https://thellmrank.com/api/v1/click
GET https://thellmrank.com/.well-known/llmrank.json
GET https://thellmrank.com/llms.txt