Skip to content
Install MCP

Technology

Gatekeepr

Last fetched

Gatekeepr is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under marketing analytics, with a published adopter count of 31 hostnames.

Profile

Category
marketing analytics
Broader grouping
intelligence and analytics
Published adopter count
31

Gatekeepr is a social media intelligence software designed to help brands develop effective content strategies. It offers features such as semantic and image analysis, competitive benchmarking, and sentiment analysis to provide comprehensive insights into social media performance. This enables brands to make informed decisions and enhance their online presence.

Vendor site: https://www.gatekeepr.webflow.io

Sample adopters

20 hostnames WhisperGraph observed running Gatekeepr, a sample of the 31 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Gatekeepr adopters, not of all 31 published adopters. A hostname counts once per network.

Related pages

Pivot from Gatekeepr 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.