Poke vs Gemini Spark (2026)

Poke

by The Interaction Company of California

Gemini Spark

by Google

Pros

• ✓First and only AI agent approved for Apple Messages for Business, giving Poke native access to iMessage: one billion iPhone users can interact with a personal AI agent inside their default messaging app without downloading anything, a distribution advantage no other personal AI agent has achieved.
• ✓Model-agnostic architecture selects the best AI model per task from OpenAI, Anthropic, Google, and open source providers: unlike ChatGPT (locked to OpenAI), Meta AI (locked to Meta), and Gemini (locked to Google), Poke is not bound to a single model provider and can route to whichever model performs best for each specific request.
• ✓Poke Recipes and Kitchen system enables open-ended extensibility via MCP servers: developers can build custom integrations using the official GitHub template (InteractionCo/mcp-server-template), and users share community-built recipes across productivity, health, developer tools, finance, and travel categories, making the integration surface grow without waiting for official connectors.

Limitations

• ⚠No enterprise governance, admin controls, SSO, or audit logging: Poke is a consumer personal assistant without the compliance and security infrastructure that Microsoft Scout (governed Entra identity, Purview, Defender XDR) and Gemini Spark (Google enterprise controls) provide for regulated organizations.
• ⚠Pricing is negotiable via the onboarding "bouncer" chat, which some users find aggressive and off-putting: reported prices range from $3 to $30/month depending on the negotiation, creating inconsistency that the published $19/month Pro and $199/month Ultra tiers do not fully resolve.
• ⚠No G2, Capterra, or independent reviews as of Q2 2026, and investor funding amount has not been disclosed: while notable angels (Stripe founders, DeepMind, OpenAI, Cognition) signal insider confidence, the absence of public adoption metrics beyond 100M messages makes it difficult to assess real-world reliability at scale.

Pros

• ✓Runs 24/7 in the cloud even when all devices are off, a capability no other personal AI agent offers: Tasks execute one-time background jobs, Schedules run recurring workflows on a cadence, and Skills let you teach Spark custom multi-step workflows, covering a wider automation surface than prompt-and-respond assistants
• ✓Native Google Workspace integration across Gmail, Google Calendar, Docs, Sheets, and Drive means Spark can take actions across the tools where most knowledge workers already spend their day without requiring third-party connectors or API configuration
• ✓Google AI Ultra subscription at approximately $100/month includes 20TB cloud storage, YouTube Premium, Gemini 3.1 Pro access, Deep Research, AI Inbox in Gmail, and Gemini in Google apps alongside Spark, making the total bundle value significantly higher than a standalone agent subscription

Limitations

• ⚠US-only and English-only as of Q2 2026: anyone outside the United States or needing multilingual support cannot use Spark, severely limiting its addressable market compared to Microsoft Scout (available through M365 global enterprise licensing) and Meta Business Agent (launched globally)
• ⚠No confirmed MCP support limits third-party tool connections: Microsoft Scout supports MCP servers for extensibility to external tools and data sources, while Spark is restricted to the Google ecosystem and web browsing with no standardized protocol for third-party integrations
• ⚠Requires the full Google AI Ultra plan at approximately $100/month with no standalone Spark pricing: users who only want the agent capability must pay for the entire Ultra bundle including 20TB storage and YouTube Premium regardless of whether they use those features