Manatal AI candidate recommendations and scoring engine
The AI recommendation engine is Manatal's flagship feature.
The AI recommendation engine is Manatal's flagship feature. When a new job is created, the engine scans the candidate database and produces a scored list of recommended candidates based on skills, experience, education, location, and job-requirement alignment. The scoring uses weighted criteria that go beyond keyword matching to consider career trajectory patterns, skill adjacency, and experience relevance.
The AI improves over time through feedback loops — when recruiters advance or reject recommended candidates, the system adjusts its scoring weights. Teams that consistently engage with recommendations train the AI to better match their hiring preferences and standards.
Recommendation scoring methodology and transparency
Each recommendation includes a match score with a breakdown showing which criteria contributed to the ranking. Recruiters can see why a candidate was recommended — specific skills matched, experience years aligned, location proximity — which builds trust in the AI's suggestions. The transparency also helps recruiters quickly filter recommendations by their most important criteria.
AI search and candidate matching across the database
Beyond role-specific recommendations, the AI powers candidate search across the full database. Natural language queries like 'marketing manager with SaaS experience in New York' return scored results rather than simple keyword matches. This semantic search capability helps recruiters find relevant candidates they might miss with traditional keyword searches.
Manatal social enrichment and candidate profile building
The enrichment feature automatically searches for and appends publicly available social media data to candidate profiles.
The enrichment feature automatically searches for and appends publicly available social media data to candidate profiles. When a candidate enters the system — through application, import, or manual creation — Manatal searches LinkedIn, Facebook, Twitter, and other platforms for matching profiles and adds professional history, skills, education, and contact information to the candidate record.
The enrichment happens automatically without recruiter intervention, which means every candidate profile in the system gets enhanced context. This reduces the manual research time recruiters spend on candidate background review and provides richer data for the AI recommendation engine.
LinkedIn and social platform data integration
LinkedIn enrichment pulls the candidate's current title, company, professional history, skills, and education. Other social platforms contribute additional context — professional interests, content creation activity, and public professional engagement. The enrichment respects privacy settings and only accesses publicly available information.
Enrichment accuracy and data quality management
The matching algorithm uses multiple data points — name, email, company, location — to identify the correct social profiles. Match confidence scores help recruiters verify accuracy before relying on enriched data. In cases where multiple potential matches exist, the system flags for manual review rather than auto-merging incorrect profiles.
Manatal ATS pipeline and candidate management workflow
The ATS pipeline provides a visual board for managing candidates across configurable stages.
The ATS pipeline provides a visual board for managing candidates across configurable stages. Each candidate profile aggregates application data, enriched social information, AI scores, recruiter notes, communication history, and evaluation data. The pipeline supports drag-and-drop stage movement, bulk actions, and filtering by source, score, status, and custom tags.
Pipeline stages are customizable per job or job template, and automation rules can trigger actions — emails, notifications, stage movements — based on candidate events. The pipeline interface is designed for simplicity, with the goal of minimizing the clicks required for common recruiting actions.
Pipeline automation and workflow triggers
Automation rules fire when candidates enter specific stages, receive specific scores, or complete application requirements. Common automations include sending confirmation emails, notifying hiring managers when candidates reach the interview stage, and moving candidates who pass screening criteria to the next stage automatically.
Candidate tagging, notes, and collaborative evaluation
Team members can add tags, notes, and ratings to candidate profiles that are visible to other team members. The collaborative evaluation features support team-based hiring decisions without requiring formal structured evaluation frameworks. For small teams where informal collaboration is the norm, these tools provide enough structure without adding process overhead.
Manatal CRM and client relationship management for agencies
The CRM module manages the client side of the recruiting equation — contacts, companies, job orders, placement history, and revenue tracking.
The CRM module manages the client side of the recruiting equation — contacts, companies, job orders, placement history, and revenue tracking. For agencies, the CRM provides a structured system for managing multiple client relationships alongside candidate pipelines. For corporate teams, the CRM can track hiring manager relationships and department-level hiring patterns.
The CRM integrates directly with the ATS pipeline, so candidates submitted to client roles, placements made, and revenue generated are all tracked in a connected system. This integration eliminates the data fragmentation that occurs when agencies use separate ATS and CRM platforms.
Client management and job order tracking for agencies
Each client profile includes contact information, associated jobs, placement history, and notes. Job orders are created within the client context and linked to ATS pipelines. Agencies can track which clients generate the most placements and revenue, informing business development priorities.
Revenue tracking and placement analytics
The CRM tracks placement fees, client billing, and revenue metrics that help agency owners understand business performance. Reports show revenue by client, recruiter, and time period, providing the financial visibility that agency management requires.
Manatal job board posting and candidate sourcing channels
Manatal distributes job postings to over 2,500 job boards globally through a single submission interface.
Manatal distributes job postings to over 2,500 job boards globally through a single submission interface. The platform supports both free and premium job board listings, with source tracking that attributes each applicant to the channel they came from. Multi-channel posting saves recruiters the time and complexity of managing individual job board accounts.
The sourcing extends beyond job boards to include a career page builder, social media posting, and employee referral tracking. While not as comprehensive as dedicated sourcing platforms, the built-in channels cover the most common candidate acquisition methods for SMBs and agencies.
Free and premium job board distribution
Free distribution covers major boards including Indeed, Glassdoor, and LinkedIn free listings. Premium sponsored listings are available through the Manatal interface with transparent pricing. Source effectiveness reports show which boards produce the most applications and hires, enabling data-driven allocation of job board budgets.
Career page builder and direct application channel
The career page builder creates a basic branded page for hosting open positions directly on your website or a Manatal-hosted URL. While not as customizable as Pinpoint or Greenhouse career site builders, it provides a professional application channel that is better than directing candidates to job boards or email inboxes.
Manatal reporting, analytics, and compliance tools
The reporting dashboard covers standard recruiting metrics — pipeline activity, time-to-hire, source effectiveness, candidate volume, and recruiter productivity.
The reporting dashboard covers standard recruiting metrics — pipeline activity, time-to-hire, source effectiveness, candidate volume, and recruiter productivity. Reports support filtering by job, department, time period, and source. The Enterprise plan adds advanced reporting with custom dimensions and data exports.
Compliance tools on the Enterprise plan include data protection features for GDPR, candidate consent management, and data retention policies. For agencies operating in regulated markets, the compliance tools help meet the data handling requirements that recruiting data triggers.
Standard reporting and recruiter productivity metrics
Reports track recruiter activity — candidates added, candidates moved through stages, placements made, and time-to-action metrics. For recruiting managers, these reports provide visibility into team productivity and help identify bottlenecks in the hiring process.
GDPR compliance and data protection features
The Enterprise plan includes GDPR-focused features: candidate consent tracking, data retention policies that automatically purge candidate data after configurable periods, and right-to-deletion tools that respond to candidate data removal requests. For agencies and companies operating in the EU or handling EU candidate data, these compliance tools are essential.
