What AI says about Redis in Technology
365 mentions · 323 prompts · last seen Oct 11, 2026
Prompts in this category
Brands:Rabbitmq,
Redis,
Bullmq,SSidekiq,
Rq
Brands:Scrapy,
Redis,SScrapy Cluster,
Kafka,
Rabbitmq
Brands:AWS,
Lambda,
Sqs,
Redis,
Bullmq
Brands:Opentelemetry,
Prometheus,
Grafana,
Clickhouse,
Bigquery
Brands:Redis,
Http,CCdn
Brands:Redis,
Sqs,
Rabbitmq,
S3,
Gcs
Brands:Celery,
Rq,DDramatiq,SSidekiq,
Bullmq
Brands:Grpc,
Rest,
Graphql,
Redis,
Dynamodb
Brands:Apple,
Fastapi,
Django,
Node Js,
Go
Brands:React,
Vue,SSvelte,
Next Js,
Chart Js
Brands:AApache Camel,Mulesoft,
Boomi,
N8n,
Zapier
Brands:Apache Kafka,AApache Flink,SSpark Structured Streaming,DDebezium,
Redis
Brands:AWS,
Sqs,
Kafka,
Postgres,
Redis
Brands:Redis,CCdn
Brands:Kafka,
Kinesis,
Pub Sub,
Flink,SSpark Structured Streaming
Brands:Redis,
Postgres,
Pgvector,
Qdrant,
Milvus
Brands:Redis,
Qdrant,
Milvus,
Weaviate,
Pinecone
Brands:Qdrant,
Pinecone,
Weaviate,
Milvus,
Pgvector
Brands:Redis,
Qdrant
Brands:Qdrant,
Milvus,
PostgreSQL,
Pgvector,
Opensearch
Brands:PostgreSQL,
Pgvector,
Pinecone,
Weaviate,
Milvus
Brands:Milvus,
Redis
Brands:Pgvector,
PostgreSQL,
Redis,RRedis Stack,RRedisearch
Brands:Redis,
Postgres,
Mysql
Brands:PostgreSQL,
Dynamodb,
Redis,
MongoDB,
Bigquery
Brands:PPgbouncer,Redis
Brands:PostgreSQL,AAws Rds,AAurora Postgres,GGoogle Cloud Sql,
Supabase
Brands:PostgreSQL,
Sqlite,
Redis
Brands:PostgreSQL,
Redis,
Elasticsearch,
Opensearch,
Bigquery
Brands:React,
Next Js,
Node Js,
Django,
Fastapi
Brands:Rails,
Django,
PostgreSQL,
Sqlite,
Mysql
Brands:AAws Rds,AAurora Postgresql,GGoogle Cloud Sql For Postgresql,AAzure Database For Postgresql,NNeon
Brands:PostgreSQL,
Redis,
Elasticsearch,
Opensearch
Brands:PPgbouncer,Redis,
Datadog,
New Relic
Brands:PostgreSQL,PPgbouncer,
Redis
Brands:PostgreSQL,PPostgis,
Redis
Brands:Supabase,
Postgres,
Redis,CCdn
Brands:CCloud Sql,CCloud Monitoring,QQuery Insights,PPgbouncer,Redis
Brands:PostgreSQL,AAws Rds,
Supabase,NNeon,
Heroku
Brands:PostgreSQL,
Redis,
Mysql,
MongoDB,
Dynamodb
Brands:PostgreSQL,FFirestore,
Dynamodb,
MongoDB,
Redis
Brands:PostgreSQL,
Elasticsearch,
Opensearch,
Redis,
Mysql
Brands:PostgreSQL,
Redis,
Dynamodb,
Cassandra,
Clickhouse
Brands:PostgreSQL,
Redis
Brands:PostgreSQL,
Redis,
Elasticsearch,
Opensearch,
Mysql
Brands:Heroku,
Railway,
Postgres,
Redis
Brands:Docker,
PostgreSQL,
Mysql,
Redis
Brands:Railway,
Fly,
Render,
Google Cloud Run,
Aws Ecs Fargate
Brands:Render,
Railway,
Postgres,
Redis,
AWS
Brands:Fastapi,
Django Rest Framework,UUvicorn,GGunicorn,
Nginx
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (365 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.