GPTpost - 2026 Pricing, Features, Reviews & Alternatives

GPTpost is a web-based social media publishing and management platform accessible via browser, with no on-premises deployment option. It supports the full content lifecycle: composing, scheduling, approving, and publishing posts across networks, with per-network post variants and calendar-based scheduling. Engagement queues and case management tools centralize incoming interactions, while CRM data management covers contacts, conversations, cases, routing, SLA records, and moderation decisions. Analytics capabilities include metric observations and report exports in CSV and HTML formats. Campaign management, RSS and CSV content import, media uploads with alternative text, and webhook integrations round out the feature set. AI assistance is available for content workflows, with prompt-injection heuristics and content filters applied to AI input; customer data is not used to train or fine-tune any models.

GPTpost is suited to organizations managing social media publishing and engagement workflows at scale, including agencies operating as data processors on behalf of clients. Role-based and attribute-based access control with approval workflows supports structured team collaboration. Ingest APIs for communications and analytics data, along with webhook deliveries signed with HMAC-SHA256 and replay protection, support integration with external systems. Data security is enforced through tenant isolation at the database layer via row-level security, HTTPS encryption in transit, encryption at rest on an encrypted PostgreSQL volume, and an append-only audit trail. Self-serve tooling covers data access, export, correction, and deletion to support data governance requirements.