# Day AI

According to OpenAITools.app telemetry verified on 2026-11-11, Day AI (day.ai) is an AI platform indexed under AI CRM generating 55.12K monthly visits with a month-over-month traffic delta of +10.84K (+24.5%). Its primary geographic market is United States (87.9% traffic share), and it operates on a Free Trial, Paid, Free pricing model. Top competing alternatives by monthly volume include Attio (1.65M visits/mo), Clarify (74.11K visits/mo), Avoma (193.87K visits/mo).

Context graph and agent control plane for go-to-market teams

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Day AI |
| Handle | day-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | day.ai |
| Website URL | https://day.ai |
| Categories | AI CRM, AI Meeting Assistant, AI Knowledge Base |
| Pricing Model | Free Trial, Paid, Free |
| Monthly Visits | 55,116 |
| MoM Traffic Change | 10,835 |
| MoM Growth Rate | +24.5% |
| Primary Market | United States |
| Market Share | 87.9% |
| Direct Visits | 35,260 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 340 |
| Email Visits | 125 |
| Review Score | 4.3 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Free Trial; Pricing: Paid; Pricing: Free |
| Tags | AI CRM, Meeting Assistant, Knowledge Base, Customer Relationship Management, Sales Automation, Productivity, Collaboration, AI Meeting Assistant |

## Overview

Day AI positions itself as the layer a revenue organisation runs on. Its two core pieces are a context graph — an LLM-optimised ontology built automatically from the email, calendar, meetings and Slack of your go-to-market team — and an agent control plane that puts agents to work on top of it. The pitch is that a shared, permission-aware graph produces measurably better agent economics: the company publishes comparisons showing roughly 2x faster runs, about 1.9x fewer tokens and around 2.6x lower cost compared with running without the graph.

On the control-plane side, Day AI takes an unusual organisational view of automation. Its agents have names, job descriptions and titles, live in an org chart, report to a specific person, and improve from that person's feedback. Work runs proactively when something happens in the company, on a schedule, or on demand — morning pipeline briefings, deal-risk flags, inbox triage, renewal radar and onboarding coaching are the sort of jobs described. Skills are versioned and orchestrated rather than hard-coded, and an audit trail records what ran, with approvals gating anything that leaves the building.

The company markets itself as a replacement for the traditional CRM-centric stack, publishing a "Life After CRM" manifesto and comparison guides. It reports hundreds of customers and investor backing, and onboarding begins by copying a prompt that connects an existing AI assistant to the company's context graph.

## Pricing & Plans

Free month trial available; paid plans are tiered per seat or per team and quoted through the site. Enterprise deployments with API and SDK access are discussed with sales.

## Key Features & Capabilities

- **Permissioned context graph:** Automatically ingest email, calendar, meetings and Slack into one LLM-optimised ontology that respects existing permissions and reports notably faster, cheaper runs than retrieval without a graph.
- **Named agents with real reporting lines:** Give each agent a name, a job and a person it reports to, so it can absorb feedback, adjust style and take proactive action on triggers or schedules.
- **Agent control plane:** Compose skills, version deployments and orchestrate a roster of agents as an org chart, with an audit trail showing what ran and approve-before-send guardrails.
- **Revenue-stack connectors:** Wire CRM, call recordings, Slack, Gmail, warehouses and APIs into the same shared graph so context and outputs stay in sync across teams.
- **Self-improvement loops:** Agents refine their prompts and skills as they work with their human counterpart, instead of relying on frozen, hand-maintained automation.

## Primary Use Cases

- **Pipeline hygiene without manual CRM upkeep (Revenue operations lead):** A pipeline analyst agent flags stalled deals each morning, preps meetings and drafts replies inside Slack and email.
- **Searchable knowledge from call recordings (Sales engineering manager):** Extract every question asked across thousands of demos and turn recorded calls into a searchable knowledge base for solution engineers.
- **Renewal radar and onboarding coaching (Customer success director):** Connect customer context and let agents drive onboarding, renewal monitoring and account health checks.
- **Governed agents across the revenue stack (IT or platform owner):** Let agents work alongside Slack, CRM, Gong-style call data and Gmail with versioned skills and an audit trail.

## Strengths

- Context graph reportedly reduces latency, token usage and cost versus plain retrieval
- Agents are governed with reporting lines, versioned skills and approval gates
- Deep connector coverage across CRM, call recordings, Slack, Gmail and warehouses
- Strong public documentation, courses and comparison materials

## Limitations

- Value depends on broad ingestion of company communications, which needs trust and permissions work
- The org-chart agent model is a conceptual shift from standard workflow automation
- Pricing is not published in full, so cost assessment requires contacting the team

## Frequently Asked Questions

### What is a context graph?
It is a permission-aware, LLM-optimised ontology built from automatic ingestion of your team's email, calendar, meetings and Slack. Every agent and teammate reads and writes to the same graph, which the company says makes agent runs faster, cheaper and more accurate than ad-hoc retrieval.

### How are Day AI agents different from a single monolithic agent?
Each agent has a name, a job description and a reporting line to a real person, so it can improve from that person's feedback and match their working style. Skills are versioned and deployed through an organised workflow rather than frozen in a repository.

### What control does an admin have over agent actions?
Agents work from triggers such as a recorded meeting, a new email or a schedule, and the platform keeps an audit trail of exactly what ran. Outbound actions are gated behind approval rather than being sent automatically.

### Which tools does it connect to?
Connectors cover CRM, call recording, Slack, Gmail, data warehouses and API sources, so agents can both read context and write results back into the systems a revenue team already uses.

### What is Day AI's monthly traffic and growth trend?
Day AI currently receives 55.12K monthly visits, with a month-over-month traffic change of +10.84K (+24.5% growth rate). Its primary source market is United States (87.9% share), including 35.26K direct visits/mo and — organic search visits/mo.

### Is Day AI free? What is its pricing model?
Day AI operates on a Free Trial, Paid, Free pricing model. Free month trial available; paid plans are tiered per seat or per team and quoted through the site. Enterprise deployments with API and SDK access are discussed with sales. Supported billing and checkout platforms include: not listed.

### What are the best Day AI alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Day AI are: 1. Attio (1.65M visits/mo); 2. Clarify (74.11K visits/mo); 3. Avoma (193.87K visits/mo); 4. Brevo (6.53M visits/mo); 5. Otter AI (7.36M visits/mo).

### Which platforms and core AI capabilities does Day AI support?
Day AI is classified under AI CRM, AI Meeting Assistant, AI Knowledge Base, supports the following platforms: Website, and its core capability tags include: AI CRM, Meeting Assistant, Knowledge Base, Customer Relationship Management, Sales Automation, Productivity.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Attio](https://openaitools.app/tool/attio) | 1,652,928 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/attio-vs-day-ai) |
| [Clarify](https://openaitools.app/tool/clarify) | 74,108 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/clarify-vs-day-ai) |
| [Avoma](https://openaitools.app/tool/avoma-ai-meeting-assistant) | 193,867 | Freemium, Free Trial, Paid | [Compare](https://openaitools.app/compare/avoma-ai-meeting-assistant-vs-day-ai) |
| [Brevo](https://openaitools.app/tool/brevo) | 6,527,382 | Freemium | [Compare](https://openaitools.app/compare/brevo-vs-day-ai) |
| [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | Freemium | [Compare](https://openaitools.app/compare/day-ai-vs-otter-ai) |
| [Claap 2.0](https://openaitools.app/tool/claap-2-0) | 135,964 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/claap-2-0-vs-day-ai) |
| [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | Freemium | [Compare](https://openaitools.app/compare/day-ai-vs-fireflies-ai) |
| [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | Freemium, Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/clay-2-0-vs-day-ai) |
| [Momentum Sales AI](https://openaitools.app/tool/momentum-sales-ai) | 25,225 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/day-ai-vs-momentum-sales-ai) |
| [Corefactors AI CRM](https://openaitools.app/tool/corefactors-ai-crm) | 22,383 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/corefactors-ai-crm-vs-day-ai) |
| [Attention](https://openaitools.app/tool/attention) | 43,948 | Contact for Pricing | [Compare](https://openaitools.app/compare/attention-vs-day-ai) |
| [WINN.AI](https://openaitools.app/tool/winn) | 11,322 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/day-ai-vs-winn) |

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Source: https://openaitools.app/tool/day-ai