---
title: "Redis AI Search Visibility Score | OpenFound"
url: https://openfound.ai/index/redis.io
description: "Redis has a 91.3% AI search visibility score. See how Redis ranks across ChatGPT, Gemini, Claude, and Perplexity."
lang: en
---

Image: Redis logo (https://www.google.com/s2/favicons?domain=redis.io&sz=64)

# Redis

https://redis.io/

Developer Tools

Updated March 13, 2026

Visibility Score

91.3%

Avg Platform Score

91%

AI Mention Rate

—

GEO Readiness

—

## Platform Breakdown

ChatGPT

positive

98%

8 mentions Themes: Real-time data platform, In-memory database, Caching

Gemini

positive

85%

10 mentions Themes: real-time data, AI applications, in-memory database

Claude

positive

92%

9 mentions Themes: in-memory data store, caching, real-time data platform

Perplexity

positive

90%

8 mentions Themes: in-memory data store, caching, real-time data

### Want to improve Redis's 91.3% visibility?

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## Competitive Landscape

Brands that appear alongside yours in the same AI queries and topics

Image: MongoDB (https://www.google.com/s2/favicons?domain=www.mongodb.com&sz=64)

MongoDB

90% visibility

↑ Offers an in-memory storage engine for predictable latency, versatile NoSQL database supporting various data models.

↓ May not be as optimized for caching specific use cases as Redis.

Shared AI query topics

in-memory database

NoSQL database

real-time data platform

Image: Amazon DynamoDB (https://www.google.com/s2/favicons?domain=aws.amazon.com&sz=64)

Amazon DynamoDB

85% visibility

↑ Fully managed, serverless NoSQL database, high availability, durability, and performance, single-digit millisecond latency.

↓ Strong integration into AWS ecosystem may limit use for non-AWS users.

Shared AI query topics

NoSQL database

high-performance database

real-time data platform

Image: DragonflyDB (https://www.google.com/s2/favicons?domain=www.dragonflydb.io&sz=64)

DragonflyDB

75% visibility

↑ Claims 25x better performance than Redis, multi-threaded architecture, 100% Redis API compatibility, memory efficiency.

↓ Newer ecosystem, smaller community, may lack some advanced features of established solutions, lacks AOF support.

Shared AI query topics

in-memory database

caching

real-time data platform

Image: Apache Cassandra (https://www.google.com/s2/favicons?domain=cassandra.apache.org&sz=64)

Apache Cassandra

70% visibility

↑ Highly scalable and distributed NoSQL database, no single point of failure, can be configured for in-memory characteristics.

↓ Not primarily designed as an in-memory key-value store, complexity might make it less suitable for simple key-value use cases.

Shared AI query topics

NoSQL database

distributed database

Image: Valkey (https://www.google.com/s2/favicons?domain=valkey.io&sz=64)

Valkey

65% visibility

↑ Open-source alternative and API compatible with Redis, strong community backing from AWS, Google, Oracle, comparable or better performance in some scenarios.

↓ Emerging as a response to Redis licensing changes, still building its ecosystem.

Shared AI query topics

in-memory database

caching

real-time data platform

## Action Items

6 opportunities identified

Add Product schema markup

Implement Product schema markup on Redis Cloud, Redis Software, Redis Open Source, Redis LangCache, Redis Insight, Redis Data Integration, and Redis Flex Cache product pages to enhance visibility in rich search results and improve understanding for AI models about the specific functionality and features of each product.

High

Expand comparison content

Create dedicated comparison pages or blog posts pitting Redis against direct competitors like Apache Kafka, MongoDB, and Memcached Cloud, focusing on specific use cases and technical advantages to capture comparison-oriented search traffic.

High

Develop AI-focused content hub

Create a dedicated section or hub on the website focusing on 'Redis for AI', including deeper dives into vector databases, AI agent memory, and semantic search, with practical examples and use cases, specifically tailored for LLM consumption.

High

Implement HowTo schema markup for tutorials and quick starts

Implement HowTo schema markup for all tutorial and quick start guides to make them more discoverable in search results for step-by-step instructions. This will provide direct answers to queries like 'how to deploy Redis on Google Cloud' or 'how to build AI apps with Redis'.

Med

Increase external citations for AI use cases

Actively seek out and encourage inclusion of Redis in articles, case studies, and industry reports discussing AI infrastructure, real-time data for AI, and LLM optimization to build authority signals around these key themes.

Med

Monitor and publicize positive user sentiment for AI-related features

Actively monitor online reviews, social media, and forums for positive discussions and testimonials specifically about Redis's performance and utility in AI applications. Strategically publicize these positive sentiments through case studies, quotes on product pages, and social media campaigns to reinforce brand perception around AI capabilities.

Med

## How AI Search Visibility Is Measured

OpenFound's GEO Index tracks brand visibility across ChatGPT, Gemini, Claude, and Perplexity. Each week, we run hundreds of industry-relevant queries and analyze whether brands are mentioned, cited, or recommended in AI-generated responses.

The visibility score (0–100%) reflects the share of relevant queries where the brand appears, weighted by citation quality, positioning, and sentiment. Brands in **Developer Tools** are benchmarked against peers in the same vertical.

### Track Redis — free

Get visibility alerts, competitor tracking, and AI search recommendations.

Join 1,000+ brands already tracking their AI visibility

Start Free Tracking: https://openfound.ai/auth?tab=signup&from=profile&brand=redis.io

## Structured data

```json
[
  {
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "Redis",
    "url": "https://redis.io",
    "description": "Redis AI search visibility profile on OpenFound GEO Index."
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      {
        "@type": "ListItem",
        "position": 1,
        "name": "GEO Index",
        "item": "https://openfound.ai/index"
      },
      {
        "@type": "ListItem",
        "position": 2,
        "name": "Developer Tools",
        "item": "https://openfound.ai/index?industry=Developer%20Tools"
      },
      {
        "@type": "ListItem",
        "position": 3,
        "name": "Redis",
        "item": "https://openfound.ai/index/redis.io"
      }
    ]
  }
]
```