Data Retention
Manages data lifecycle with configurable retention policies per brand. Tier-based defaults (FREE: 30 days, PRO: 365 days, ENTERPRISE: Unlimited) with automatic cleanup. Configure under Brands → [brand] → Data retention.
About Data Retention
Data Retention manages the lifecycle of your data with configurable retention policies per brand. Go to Brands, select a brand, then open the Data retention tab. Each tier has default retention periods (FREE: 30 days, PRO: 365 days, ENTERPRISE: Unlimited); you can customize per brand. The system automatically cleans up data that exceeds retention periods.
Use Cases
Comply with data retention requirements
Control storage costs
Customize retention by data type
Maintain data hygiene
Related Features
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Data Retention - GEO Style Feature
What is Data Retention?
Manages data lifecycle with configurable retention policies per brand. Tier-based defaults (FREE: 30 days, PRO: 365 days, ENTERPRISE: Unlimited) with automatic cleanup. Configure under Brands → [brand] → Data retention.
Key Benefit: Control data lifecycle
Subscription Tier: ALL
Feature Category: Data Management
How Data Retention Works
Data Retention manages the lifecycle of your data with configurable retention policies per brand. Go to Brands, select a brand, then open the Data retention tab. Each tier has default retention periods (FREE: 30 days, PRO: 365 days, ENTERPRISE: Unlimited); you can customize per brand. The system automatically cleans up data that exceeds retention periods.
Why Data Retention Matters for AI Visibility
Data Retention is essential for optimizing your brand's visibility in AI-powered search results and recommendations. As AI systems like ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot become primary sources of information for B2B buyers, understanding and optimizing for AI discovery is critical. Data Retention helps you control data lifecycle, making it easier for AI systems to find, understand, and recommend your brand when users ask relevant questions.
AI Models Supported
Data Retention works across all major AI platforms including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity AI, Microsoft Copilot, and DeepSeek. This ensures comprehensive coverage of how your brand appears in AI-generated responses across different models and use cases.
Use Cases for Data Retention
Here are the primary ways businesses use Data Retention to improve their AI visibility:
- Use Case 1: Comply with data retention requirements
- Use Case 2: Control storage costs
- Use Case 3: Customize retention by data type
- Use Case 4: Maintain data hygiene
Getting Started with Data Retention
To start using Data Retention, sign up for a all account on GEO Style. The ALL tier provides full access to Data Retention along with advanced features and higher limits.
Related Features
- Data Exports: Export decision data, reports, and analytics in various formats. CSV exports for brand data, mentions, and citations. JSON export for full brand data with subscription gating (PRO+). Export your data
- Audit Logging: Admin-only. Tracks user actions and system changes for compliance and debugging. Logs action type, entity type and ID, before/after changes, IP address, user agent, and timestamp. Access via Audit Logs in the sidebar (admins only). Maintain compliance
GEO and Generative Engine Optimization
Data Retention is part of GEO Style's comprehensive suite of Generative Engine Optimization (GEO) tools. Unlike traditional SEO which optimizes for search engine rankings, GEO optimizes for AI discovery and recommendations. This means your content, brand information, and expertise are structured and presented in ways that AI systems can easily understand, cite, and recommend to users asking relevant questions.
Keywords and Topics
Relevant keywords: data retention, AI visibility, GEO, Generative Engine Optimization,data management, AI recommendations, ChatGPT optimization, Claude optimization, Gemini optimization, Perplexity optimization, AI discovery, B2B AI visibility, all tier features.