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Technology

AdAmigo.ai

Last fetched

AdAmigo.ai is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad creative management, with a published adopter count of 52 hostnames.

Profile

Broader grouping
advertising, marketing, intelligence and analytics, web tools and plugins
Published adopter count
52

AdAmigo.ai is an AI-driven platform designed for Meta advertising management. It helps businesses optimize their advertising campaigns by analyzing ad account data, website performance, and existing creatives. The system also evaluates competitor ads and generates prioritized daily action items to improve key performance indicators such as purchases, cost per lead, and return on ad spend.

Vendor site: https://www.adamigo.ai/

Sample adopters

20 hostnames WhisperGraph observed running AdAmigo.ai, a sample of the 52 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 AdAmigo.ai adopters, not of all 52 published adopters. A hostname counts once per network.

Related pages

Pivot from AdAmigo.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.