Context graph and agent control plane for go-to-market teams
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
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 connects all our sales calls and emails seamlessly.
Sales agents actually draft accurate follow-ups without hallucinating.
Setup takes some getting used to across different channels.
Huge productivity boost for our go-to-market motions.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
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.
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.
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.
Wire CRM, call recordings, Slack, Gmail, warehouses and APIs into the same shared graph so context and outputs stay in sync across teams.
Agents refine their prompts and skills as they work with their human counterpart, instead of relying on frozen, hand-maintained automation.
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.
A pipeline analyst agent flags stalled deals each morning, preps meetings and drafts replies inside Slack and email.
Extract every question asked across thousands of demos and turn recorded calls into a searchable knowledge base for solution engineers.
Connect customer context and let agents drive onboarding, renewal monitoring and account health checks.
Let agents work alongside Slack, CRM, Gong-style call data and Gmail with versioned skills and an audit trail.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Day AI | 55.12K | +24.5% | 64% direct | Free Trial, Paid, Free | Current |
| 1 | Attio | 1.65M | -4.2% | 60% direct | Free Trial, Contact for Pricing | vs Attio |
| 2 | Clarify | 74.11K | -12.8% | 70% direct | Freemium, Paid, Contact for Pricing | vs Clarify |
| 3 | Avoma | 193.87K | +7.5% | 81% direct | Freemium, Free Trial, Paid | vs Avoma |
| 4 | Brevo | 6.53M | +5.8% | 65% direct | Freemium | vs Brevo |
| 5 | Otter AI | 7.36M | +9.6% | 68% direct | Freemium | vs Otter AI |
| 6 | Claap 2.0 | 135.96K | -20.9% | 88% direct | Freemium, Free Trial, Contact for Pricing | vs Claap 2.0 |
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