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Technology

Tagshop.ai

Last fetched

Tagshop.ai is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad creative management, with a published adopter count of 50 hostnames.

Profile

Category
ad creative management
Broader grouping
advertising, marketing, e-commerce
Published adopter count
50
Vendor
tagshop.ai

Tagshop.ai is an AI-powered platform that generates user-generated content style video advertisements using realistic AI avatars. Businesses can create high-converting video ads by providing a product URL or short script, streamlining the ad creation process without traditional filming or editing. It is designed for marketers aiming to efficiently produce polished video content for digital advertising.

Vendor site: https://tagshop.ai/

Sample adopters

20 hostnames WhisperGraph observed running Tagshop.ai, a sample of the 50 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Tagshop.ai adopters, not of all 50 published adopters. A hostname counts once per network.

Related pages

Pivot from Tagshop.ai 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.