Chert

Build AI agents that text customers in iMessage

Artificial IntelligenceMessagingAPI

▲ 161 votes75 commentsLaunched May 19, 2026

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Build and deploy conversational iMessage agents for customer service, inbound lead capture, and more. Simply configure the system prompt and tone, and you can create your own conversational iMessage agent for inbound handling, outbound follow-up, or whatever workflow you want to test. You can also integrate with CRMs like HubSpot, Close, or GoHighLevel to write back conversation histories.

AI Analysis

📝 Summary

Chert allows building and deploying AI conversational agents that engage customers directly in iMessage for customer service, inbound lead capture, outbound follow-ups, and custom workflows. Users configure system prompts and tone for natural interactions, with seamless CRM integrations (HubSpot, Close, GoHighLevel) to log conversation histories. USP is leveraging the trusted, high-engagement iMessage platform for automated yet personal texting. It solves pain points of slow manual responses, scaling support without extra staff, and low engagement from traditional channels. Value proposition: efficient, always-on automation that boosts lead conversion and service quality within a familiar Apple messaging environment.

📈 Market Timing

In 2025-2026, timing is highly favorable due to explosive growth in AI agents and conversational commerce, maturing LLM technology, and rising demand for instant, personalized customer engagement via messaging over email or calls. Businesses seek efficiency amid economic pressures to cut support costs. Apple's expansions in business messaging and privacy-focused features align well. Overall, strong tailwinds from AI adoption trends make this an opportune launch window. Rating: Excellent Timing.

✅ Feasibility

Technically feasible using current LLMs for conversation logic, but iMessage integration faces hurdles due to Apple's restricted Business Chat APIs, requiring approvals and potential limitations. Development and operation costs are moderate (AI inference, hosting, CRM sync). Low supply chain risk but notable compliance risks around data privacy and messaging regulations. Good scalability for cloud deployment. Best fit for teams experienced in AI and platform integrations. Rating: Medium.

🎯 Target Market

Main segments: SMBs and sales/marketing teams in SaaS, e-commerce, real estate, and digital agencies, primarily in the US and other Apple-heavy markets (North America, Europe). Demographics: tech-savvy business owners and operators aged 25-50. TAM for conversational AI ~$20B by 2026; SAM for messaging automation ~$3B; SOM for iMessage-focused tools ~$200-500M. Core pains: time-consuming manual texting, inconsistent lead follow-up, high staffing costs for 24/7 support. Strong willingness to pay via subscription for direct ROI in conversions and efficiency.

⚔️ Competition

Competition Level: Medium. Direct competitors: 1. Messages for Business by Apple (business.apple.com) - platform foundation but minimal AI. 2. ManyChat (manychat.com) - multi-messaging automation with AI. 3. Intercom (intercom.com) - AI chat for web/mobile with CRM ties. 4. Drift (drift.com) - conversational marketing and lead bots. 5. Voiceflow (voiceflow.com) - no-code AI agent builder for multiple channels. Advantages: deep iMessage focus for superior open/engagement rates, simple prompt-based setup tailored for quick testing. Disadvantages: ecosystem limited to Apple users vs multi-channel rivals; potentially higher dependency on platform policy changes; less mature feature set than established players.

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