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Technology

LLMrefs

Last fetched

LLMrefs is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under marketing analytics, with a published adopter count of 9 hostnames.

Profile

Category
marketing analytics
Broader grouping
marketing, intelligence and analytics
Published adopter count
9
Vendor
llmrefs.com

LLMrefs is an AI-powered SEO keyword rank tracking platform designed for monitoring keyword performance specifically within large language model (LLM) search engines. It enables businesses to increase their brand visibility by tracking keyword rankings and optimizing geographic performance for better search engine outcomes. This tool supports data-driven SEO strategy development focused on AI-driven search environments.

Vendor site: https://llmrefs.com/

Sample adopters

9 hostnames WhisperGraph observed running LLMrefs, a sample of the 9 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 9 LLMrefs adopters, not of all 9 published adopters. A hostname counts once per network.

Related pages

Pivot from LLMrefs into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.