# EzRecruit

> Machine-readable overview for AI assistants, crawlers, and tools that do not execute JavaScript.
> The interactive marketing site at https://ezrecruit.ai/ is a single-page application; this file mirrors substantive product information in plain text.

Primary URL: https://ezrecruit.ai/
Contact / demo requests: https://ezrecruit.ai/contact-us

## What EzRecruit is

EzRecruit is a recruiter-centric applicant tracking system (ATS) and operating system built for staffing agencies and recruitment consultancies—not generic corporate HR. It focuses on structured workflows across the full agency lifecycle: client and requirement intake, sourcing and tagging, screening with feedback loops, submissions, closures, and visibility for leadership.

Positioning: "Recruitment Agency Operating System & ATS" — emphasis on multi-client operations, reusable sourcing effort, submission quality, and lower cost per profile through less rework.

Product by DeepTalent Technology. Support contact referenced on-site: support@ezrecruit.ai (see policies pages as applicable).

## Problems it addresses

- Misaligned or incomplete job briefs leading to poor submissions
- Sourcing effort that cannot be reused across similar roles
- Missing feedback at interview stages, so teams cannot learn from rejections
- Duplicate submissions and weak duplication controls
- Lack of structured pipeline visibility from brief through close

## Core product areas (modules)

These map to the product story on the marketing site:

1. **Requirements (Brief)** — Structured job requirements, evaluation questions per requirement, assignment of reqs to recruiters ("define once, brief right").
2. **Sourcing / Hunt** — Tagged search and talent pool: tag candidates to multiple similar requirements, find previously screened profiles quickly, build a reusable pool from every search.
3. **Screening** — Workflow through stages; feedback from leads on rejections; duplication checks before submission.
4. **Candidates & submission** — Candidate profiles with history, search/filter, organized talent pool for submissions.
5. **Closure** — Track offers, joining, and wins against requirements; closure history and metrics.
6. **AI search** — AI-assisted candidate search (positioned on-site alongside traditional search).
7. **Goals & dashboard** — Team goals, operational visibility, dashboards.

## Outcomes the product claims

Marketing copy cites directional improvements such as: less sourcing lag, fewer avoidable back-and-forth rounds, lower cost per role via less rework, less time on follow-ups and scheduling, and protecting margin by reducing duplicated work. (Exact results depend on implementation and customer context.)

## Representative pricing (marketing UI)

The site may display tiered subscription-style plans—for example, tiers labeled Starter, Professional, and Enterprise with monthly pricing and user/candidate limits. Always confirm current pricing on https://ezrecruit.ai/ or with sales; numbers on static pages can change.

## Key pages (HTML routes on the SPA)

- Home: https://ezrecruit.ai/
- Blog index: https://ezrecruit.ai/blog
- Enforcing structured sourcing: https://ezrecruit.ai/enforcing-structured-sourcing
- How recruiting fails (narrative page): https://ezrecruit.ai/how-recruiting-fails
- Agency challenges: https://ezrecruit.ai/agency-challenges
- What changes when structure is enforced: https://ezrecruit.ai/what-changes-when-structure-is-enforced
- Product overview: https://ezrecruit.ai/product-overview
- Contact / Book a demo: https://ezrecruit.ai/contact-us

## Blog / case study (examples)

- Case study (The Glove): https://ezrecruit.ai/blog/case-study-the-glove-how-the-glove-got-an-hour-back-per-recruiter-every-day

## Policies

Static HTML policy/deletion request page may be served as: https://ezrecruit.ai/policies.html

## Technical note for automated fetchers

The root URL returns an HTML shell that loads a JavaScript bundle. Full page text and layout appear after JS execution. For a plain-text summary without executing JS, use this file: https://ezrecruit.ai/llms.txt

Last updated: 2026-04-14