# Fama vs Workable

Fama records 12,251 monthly visits with -5.6% month-over-month growth and Contact for Pricing pricing. Workable records 10,780,627 monthly visits with +5.5% growth and Free Trial, Paid pricing.

| Metric | [Fama](https://openaitools.app/tool/fama-io) | [Workable](https://openaitools.app/tool/workable) |
| :--- | :--- | :--- |
| Website URL | https://fama.io | https://www.workable.com |
| Categories | AI Recruiting, AI Social Media, AI Content Detector | AI Recruiting, AI Agent, AI CRM |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 12,251 | 10,780,627 |
| MoM Growth Rate | -5.6% | +5.5% |
| Primary Market | United States | United States |
| Direct Visits | 4,861 | 5,309,440 |
| Review Score | 3.9 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Fama

Fama focuses on a gap traditional background checks leave open. Criminal records, employment verification and credit checks do not capture public posts that celebrate violence, harass colleagues or reveal other behavior an employer would consider disqualifying. Fama reviews observable signals from public online activity to help organizations assess that risk before and during employment.

The platform is deliberately narrow in scope. It looks only at workplace-relevant behavior, and it strips protected class information before results reach a decision-maker, so reviewers work from behavior rather than identity. Out-of-the-box detection covers eight categories of misconduct across more than 30 languages, and the company states its design aligns with EEOC, FCRA, GDPR, PIPEDA and other global standards. Reports are delivered at scale — the company cites more than 45 million reports delivered to over 3,600 employers, recruiters, search firms and brands, and claims 99.5 percent data accuracy.

A newer offering, Fama Lens, moves from category-based screening to policy-based screening. Organizations supply their own policy, Fama experts configure a Lens around it, and each returned result indicates which part of the policy it matched. Fama also integrates with applicant tracking systems and background screening providers, publishes research including a Harvard Business School case study on social media background screening, and serves sectors ranging from executive search and finance to healthcare, higher education, law enforcement and retail.

**Pricing & Plans:** Contact for pricing. Fama sells to employers, background screening providers and HR technology partners on a program basis rather than publishing self-serve tiers, so pricing is quoted after a demo and depends on screening volume and configuration.

- **Behavior-first AI detection:** Identifies eight categories of workplace-relevant misconduct across 30+ languages from public online activity, rather than relying on keyword searches.
- **Compliance-built workflow:** Removes protected class information and is designed around EEOC, FCRA, GDPR, PIPEDA and other global screening standards.
- **Fama Lens policy screening:** Skips generic categories and screens against your organization's own policy, showing which specific policy rule each result matched for faster adjudication.
- **Pre-employment and ongoing screening:** Supports both risk checks before hiring and continuing visibility into emerging behavioral risk during employment.
- **Integrations and evidence base:** Connects with existing HR and screening systems, and is backed by published research including an HBS case study and a dedicated AI academy.

**Strengths:** Addresses a real gap that criminal and credit checks do not cover; Protected class data is removed by design, which supports defensible, consistent adjudication; A large customer base and report volume give it operational scale and benchmarks competitors may lack; Policy-based Lens screening lets organizations align results with their own rules instead of generic categories

**Limitations:** No public pricing, so cost assessment requires a sales conversation; The nature of the product makes it a sensitive area requiring clear internal policy and legal review; Enterprise-oriented, so small businesses without a screening program may find it disproportionate

[Profile (Markdown)](https://openaitools.app/tool/fama-io.md)

## Workable

Workable positions itself as agentic software for recruiting and HR. The centrepiece is a native AI recruiting agent that operates inside the applicant tracking system: it continuously sources passive candidates from a 400M+ profile pool, evaluates every inbound applicant against up to 14 job criteria, messages candidates to verify interest and fill gaps, and produces a scored shortlist where strong fits auto-advance and clear rejections are filtered out. Because the agent inherits the platform's permissions and security model, every action is logged, permissioned and reviewable.

Underneath the agent sits a deep, conventional ATS. Teams manage requisitions and approvals, custom pipelines and profiles, interview kits, scorecards and assessments, self-service interview scheduling, and offer management with e-signatures and integrated background checks. One click publishes a job to 200+ boards across 100+ countries, and a drag-and-drop careers page builder plus LinkedIn Preferred and Indeed Platinum partnerships help with visibility. A searchable talent CRM keeps past applicants warm for future roles.

After the hire, Workable keeps going as a full HR platform: automated onboarding portals, employee self-service, employee records and document management, time off and attendance, performance and engagement tools, and payroll reporting. It is also deliberately open — MCP-native with comprehensive coverage for Claude, ChatGPT or custom agents, a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first experience. Pricing combines a free trial with paid plans tiered by company size and modules.

**Pricing & Plans:** Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

- **AI candidate sourcing:** The agent continuously searches 400M+ profiles, identifies strong fits before they apply and sends each a personalised outreach message for every open role.
- **Automated screening and engagement:** Every applicant is scored against up to 14 job criteria with visible reasoning, then messaged directly to confirm interest and close information gaps before reaching a recruiter.
- **Complete ATS underneath:** Requisitions, pipelines, interview kits and scorecards, interview scheduling, offer letters with e-signatures and integrated background checks in one platform.
- **Job ad syndication and careers pages:** Publish jobs to 200+ boards in 100+ countries and build branded career sites with a drag-and-drop editor, plus LinkedIn and Indeed Apply integration.
- **HR platform after the hire:** Onboarding, employee self-service, time off and attendance, performance reviews and engagement tools sit on the same employee data created during hiring.
- **Open platform and integrations:** MCP-native coverage plus a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first employee and candidate experience.

**Strengths:** Native AI agent does real sourcing, screening and candidate messaging, not just keyword ranking; Runs on top of a complete ATS rather than being a bolt-on tool with limited context; Hiring context carries through to onboarding and HR, so talent data compounds over time; Open and MCP-native: bring Claude, ChatGPT or your own agents while Workable stays the system of record

**Limitations:** Pricing scales with headcount and module selection, so costs grow as you add HR features; Full value depends on adopting both the ATS and HR modules, which is a bigger rollout for small teams; Very feature-rich, so administrators need time to configure workflows, permissions and approvals; Partner job-board and integration advantages vary by region and plan tier

[Profile (Markdown)](https://openaitools.app/tool/workable.md)

## Frequently Asked Questions

### How do Fama and Workable compare in monthly traffic?

Fama has 12,251 monthly visits, while Workable has 10,780,627. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fama has a month-over-month growth rate of -5.6%; Workable has +5.5%.

### How does pricing compare?

Fama: Contact for Pricing. Contact for pricing. Fama sells to employers, background screening providers and HR technology partners on a program basis rather than publishing self-serve tiers, so pricing is quoted after a demo and depends on screening volume and configuration. Workable: Free Trial, Paid. Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Recruit CRM](https://openaitools.app/tool/recruit-crm) | 729,799 | -7.8% | Contact for Pricing | Unifies applicant tracking and client management with AI outreach, but is tailored more heavily for agency recruiters. | [.md](https://openaitools.app/tool/recruit-crm.md) |
| 2 | [HireAI: AI Recruiter by Arc](https://openaitools.app/tool/hireai-ai-recruiter-by-arc) | 496,923 | -2.2% | Paid | AI-powered candidate matching inside Arc's vetted remote-talent marketplace | [.md](https://openaitools.app/tool/hireai-ai-recruiter-by-arc.md) |
| 3 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | Provides an AI-native ATS with automated sourcing and CRM, but has a steeper learning curve than Workable. | [.md](https://openaitools.app/tool/kula-ai.md) |
| 4 | [Manatal](https://openaitools.app/tool/manatal) | 459,004 | -1% | Free Trial, Paid | Combines an applicant tracking system with powerful AI candidate matching, but offers less built-in employee onboarding. | [.md](https://openaitools.app/tool/manatal.md) |
| 5 | [Sense](https://openaitools.app/tool/sensehq-com) | 435,090 | -5.8% | Contact for Pricing | Automates candidate engagement and communication using AI agents, but focuses less on traditional ATS pipeline management. | [.md](https://openaitools.app/tool/sensehq-com.md) |
| 6 | [PyjamaHR](https://openaitools.app/tool/pyjamahr) | 325,592 | -15.3% | Free Trial, Paid, Contact for Pricing | Delivers an accessible AI-powered applicant tracking system, but lacks some of Workable's advanced enterprise features. | [.md](https://openaitools.app/tool/pyjamahr.md) |
| 7 | [TalentRecruit](https://openaitools.app/tool/talentrecruit) | 319,337 | -12.1% | Contact for Pricing | Autonomous hiring powered by agentic AI | [.md](https://openaitools.app/tool/talentrecruit.md) |
| 8 | [Juicebox (PeopleGPT)](https://openaitools.app/tool/juicebox-work) | 293,157 | -3.4% | Paid | Generates ranked candidate lists from natural language prompts, but lacks Workable's broad HR and onboarding suite. | [.md](https://openaitools.app/tool/juicebox-work.md) |
| 9 | [Metaview](https://openaitools.app/tool/metaview) | 259,340 | +54.3% | Freemium, Contact for Pricing | Automates interview note-taking and candidate screening pipelines, but is not a full standalone recruiting ATS. | [.md](https://openaitools.app/tool/metaview.md) |
| 10 | [Alex AI](https://openaitools.app/tool/alex-ai) | 235,876 | +49.3% | Contact for Pricing | An AI recruiter that interviews, verifies, and screens every applicant | [.md](https://openaitools.app/tool/alex-ai.md) |

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Source: https://openaitools.app/compare/fama-io-vs-workable

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
