Company
Alloydb
Prompts where Alloydb is mentioned
Brands:Google Vertex,OpenAI,
Google Cloud,
Gcp,
Bigquery
Brands:Google Cloud Sql For Postgresql,Amazon Rds For Postgresql,Google Cloud,
Brands:PostgreSQL,
Sqlite,
MongoDB,Amazon Aurora Postgresql,Google Cloud Sql
Brands:Google Cloud,
Azure,
DigitalOcean,
Render
Brands:Amazon Aurora,Gcp
Brands:Aws Rds,Aurora,Google Cloud Sql,Alloydb,Azure Database For Postgresql
Brands:Aws Database Migration Service,Amazon Rds,Aurora,Google Cloud Sql,Alloydb
Brands:PostgreSQL,Amazon Rds,Aurora Postgresql,Google Cloud Sql For Postgresql,Alloydb
Brands:PostgreSQL,
Mysql,
Mariadb,Microsoft Sql Server,Oracle Database
Brands:PostgreSQL,Aws Aurora Postgresql,Google Cloud Sql For Postgresql,Azure Database For Postgresql Flexible Server,Cloud Sql
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (11 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.