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Day.ai vs Ahoy
Day.ai is built around a conversation-first context graph: email, meetings, and Slack ingested into customer memory with no manual logging. In April 2026 they repositioned around "Customer Memory for Agents" - the memory layer that other AI agents draw from - priced per agent rather than per seat.
Day.ai is becoming memory infrastructure: the system that remembers everything so agents can use it. Ahoy is a CRM you sell from: agents monitor your pipeline, prepare the next action, and wait for your one-tap approval. Memory versus motion - most CRMs were built to remember; Ahoy was built to act.
Who should pick which?
Choose Day.ai if…
- You are building an agent stack and need customer memory other agents (Claude included) can draw from
- A conversation-first context graph matches how your team works
- You want many read-only teammates - free users are included at every paid tier
- You already run Gong and want their integration path
Choose Ahoy if…
- You want a working CRM - pipeline, plans, roles, and approvals - not a memory layer to build on
- You run a revenue team, founder-led through mid-market, that needs roles, permissions, and pipeline structure
- You want call intelligence, enrichment, and unlimited agent actions included from the entry tier
- You want the agent to propose the next move, with one tap between signal and action
How do Day.ai and Ahoy compare on features?
| Day.ai | Ahoy | |
|---|---|---|
| Built to | Remember - customer memory and context for agents | Act - a CRM whose agents prepare and execute next steps |
| Automatic data capture | Email, meeting transcripts, and Slack into a context graph | Emails, calls, and meetings captured; records updated automatically |
| Meeting recording | Native, foundational feature | Included from Starter |
| Agent model | Background assistants - drafts, briefings, at-risk detection | AI-prepared tasks, one-tap approval, guardrails by default |
| Pipeline management | Present, in service of the memory layer | Core - next best action, deal drift detection, pipeline hygiene |
| Agent interoperability | Positioned as memory for external agents (MCP-style access) | Gmail, Calendar, Slack, Meet built in |
| Configurable data model | Context graph; schema follows conversations | Fully configurable; custom objects on Pro |
| Product direction | Repositioned April 2026 from CRM toward agent memory | AI-native CRM, consistently |
| Availability | Generally available | Available now - book a demo |
How do pricing and packaging compare?
| Day.ai | Ahoy | |
|---|---|---|
| Pricing model | Per-agent - "pay for agents, not seats"; free users included at every paid tier | Published per-seat tiers: Starter $79/seat/mo billed annually ($99 monthly), Pro $165/seat/mo billed annually; Growth custom. AI included in the seat, no onboarding fees |
| Published tiers | Free $0 · Turbo $25 · Professional $60 · Executive $200 per agent/mo (20% annual discount) | Request a demo |
| Minimum | Each workspace requires at least one Professional or Executive agent | One seat |
| AI costs | Per-agent price is the AI cost; automated skill slots per tier (2/5/10) | Included, unlimited - never credit-metered |
| Trial | Free tier; self-serve at day.ai | Available now - book a demo |
Day.ai details are from their public pages, June 2026. Check their site for current pricing.
Why do teams switch?
Memory is the input; motion is the output
A context graph that remembers every conversation is genuinely useful - and it is still a system of record. The question that closes deals is what to do next. Ahoy's agents read the same signals and come back with the follow-up drafted, the task prepared, the update queued. You approve, and it moves.
A CRM that stays a CRM
Day.ai's pivot toward agent-memory infrastructure may prove right about where the market goes, but it means the product's center of gravity is shifting under its users. Ahoy's direction is fixed: an AI-native CRM for revenue teams from early stage through mid-market, with the pipeline as the organizing object.
Built for the team that sells
Day.ai's new center of gravity is infrastructure - memory that other agents draw from, which matters most to teams building an agent stack. Ahoy's center is the revenue team, founder-led through mid-market: connect Gmail, Calendar, Slack, and Meet, and the agents start preparing follow-ups and catching deal drift the same week. No stack to assemble first.
Frequently asked questions
Is Ahoy a good Day.ai alternative?
If you evaluated Day.ai as a CRM, yes - Ahoy covers automatic capture and meeting intelligence and adds a pipeline-first agent model with one-tap approval. If what you actually need is memory infrastructure for a broader agent stack, Day.ai's new positioning targets that directly and Ahoy does not.
What does Day.ai cost?
Day.ai prices per agent rather than per seat: Free, Turbo at $25, Professional at $60, and Executive at $200 per agent per month, with a 20% annual discount, free users included at every paid tier, and each workspace requiring at least one Professional or Executive agent. Ahoy is priced per seat with AI usage included: Starter $79 per seat per month billed annually ($99 monthly), Pro $165 per seat per month billed annually, Growth custom.
How are the two products' AI approaches different?
Day.ai's assistants work in the background from conversation memory - drafting follow-ups, flagging quiet deals, preparing briefings. Ahoy's agents are organized around the pipeline: they watch event signals, reason about the next best action, and prepare it for your approval. Human-in-the-loop is the default in Ahoy, not a configuration.
Didn't Day.ai stop being a CRM?
Their April 2026 announcement repositioned the product as "Customer Memory for Agents" - the memory layer agents draw from. The CRM capabilities remain, but the stated direction is infrastructure for agents rather than the selling workflow itself.
Can I migrate from Day.ai to Ahoy?
Yes. Contacts, companies, deals, and conversation history come with you, and the Ahoy team works through migration during onboarding. Request a demo and we will walk through it.
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