The best AI tools for recruiting, compared (2026)

The best AI tools for recruiting are Manatal for screening and managing candidates and Microsoft Copilot as the general assistant. None decides for you: they rank, summarize and draft, and the recruiter validates. To train your HR team, see the Founderz AI program.

Reviewed in October 2026.

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What you’ll take from this

This guide compares 12 artificial intelligence tools for recruiting, with plans and prices checked on their official sites, and helps you decide which stage of the hiring process to automate first.

• A table with what each tool does, whether it has a free plan, its starting price and US availability.
• What to use for CV screening, first contact with candidates, job postings and automating repetitive tasks.
• A 1 to 5 rating for each tool, with its total.
• The limits of AI in human resources: bias, data protection and human oversight.
• Three prompts ready to copy and a plan to roll out AI without breaking your current workflow.

Imagine an HR team that receives 400 applications for a single opening. Reading every CV by hand can take days, and the person reviewing number 300 does not read like the one who reviewed the first. That is the problem AI recruiting tools solve: they absorb the repetitive work so recruiters can spend their time on what needs judgment.

The best AI tools for recruiting: comparison

Twelve AI tools to screen CVs, contact candidates, write job postings and automate tasks, from ATS systems with AI to general assistants. Nobody needs all twelve at once.

Our rating: how they score

My first pick among specialists is Manatal: it publishes its price, has a 14-day free trial, summarizes candidates with AI and offers a GDPR consent tool. Among general assistants, Microsoft Copilot stands out on privacy with a work account. Teamtailor, Factorial and LinkedIn do not publish a price, which lowers their value score.

Pricing, plans and availability

Types of AI in recruiting

AI tools in recruiting do not all do the same thing. Each type automates a specific stage of the hiring process, from posting the job to shortlisting candidates:

1. ATS systems with AI: filter, rank and score CVs against the job requirements (Manatal, Workable, Teamtailor, Factorial).
2. Conversational bots and agents: handle first contact, answer questions and schedule interviews (Copilot Studio, LinkedIn Hiring Assistant).
3. Generative AI: drafts job postings, interview scripts and replies (Copilot, ChatGPT, Claude, Gemini).
4. Automation: connects forms, email and calendar with no manual work (Power Automate, n8n).

These AI systems share one goal: automating the repetitive. The algorithm reads patterns in the data (keywords, experience, education) and returns an ordered result. It does not understand context like a person, so it works better as a pre-filter than as the final decision maker.

In a human resources department, AI for recruiting and selection mainly helps with three things: speeding up repetitive tasks, ordering large volumes of applications with objective data and improving the candidate experience with fast replies. Evaluation and hiring stay with the recruiter, who uses the AI tool as support in the selection process and on the job boards where they publish.

The use of artificial intelligence in human resources is not new, but today it covers the whole selection process. Among the main AI tools are AI solutions for HR management that automate selection processes, from publishing job descriptions to shortlisting. AI algorithms analyze large volumes of data to support better-informed decisions, and the HR area gains time to attract the best talent. This guide focuses on the management and analytics tools HR teams already use, not on promises: recruiting and selection remain a job for people.

There are types of tools for each stage of the recruiting process and the hiring process. Artificial intelligence in HR processes can speed up selection processes, optimize the selection process and support AI hiring, but selection with artificial intelligence only works if you define the criteria first. The AI can rank, the AI can summarize and the AI can draft; the final decision is not on that list.

General assistants for HR

For job postings, interview scripts and candidate replies you do not need recruiting software: a general assistant with good instructions covers a lot. With candidate data, always use a work account.

Microsoft Copilot

Microsoft Copilot works inside Word, Outlook, Teams and Excel with the files in your work account, and enterprise data protection applies with it. Example task: turn the notes from a Teams interview into a summary with strengths and open questions per candidate. Limit: it needs a Microsoft 365 license to work with your files. We teach it at Founderz too: see the Copilot course.

ChatGPT

ChatGPT works for drafting a job posting from a basic role description, adjusting the tone and generating a competency-based question script. It has a free plan with limits; Plus costs $20/month. Upload candidate data only on a business plan and review the texts before publishing. We teach it at Founderz too.

Claude

Claude is useful for analyzing a long job description, spotting ambiguous requirements and comparing two profiles against criteria you define. Free plan with limits; Pro from $17/month billed annually. Do not use it to score people unsupervised: it is a support, not a judge. Claude is part of what we teach at Founderz.

Gemini

Gemini fits if your team works in Google Workspace: it summarizes interview reports in Docs and prepares replies in Gmail. Free plan; Google AI Pro costs €21.99/month. Check the data terms of your account before using it with candidate information. Gemini is also in our Founderz courses.

How does AI CV screening work?

AI CV screening works by comparing each resume with the job requirements and scoring the fit automatically. An ATS (Applicant Tracking System) with AI reads each CV, structures it into comparable data and ranks candidates by fit, so the recruiter reviews the best matches first. When a posting gets high volumes of applications, the bottleneck is not deciding, it is reading.

The flow, step by step:

1. Posting the job with the requirements and skills defined.
2. Receiving applications in the ATS, which structures each CV.
3. Automatic analysis of each CV against the job criteria.
4. Scoring and ranking of candidates by fit.
5. Shortlist that the recruiter reviews before moving to interview.

The last step holds the whole process together. The AI evaluation is a data-based recommendation, not a verdict: only a person can weigh a deliberate change of industry, a non-linear career or potential the CV does not show.

Manatal

Manatal is an ATS with AI features included in its three standard plans: AI Recommendations, AI Candidate Enrichment and AI Copilot, which summarizes candidates, analyzes fit and gaps, prepares interviews and compares profiles. Example task: ask AI Copilot to compare your five finalists against the job requirements. It costs from $15/user/month billed annually and has a 14-day trial. Limits: the AI interviewer is a paid add-on and AI-generated job posts are not part of the free trial.

Workable

Workable offers an ATS with AI agents to source, screen and engage candidates. The plans include a pool of AI credits and each screened candidate uses credits. Example task: screen the 300 CVs of an opening with the screening agent. It costs from $299/month (Standard) and has a 15-day trial. Limit: the sourcing, screening and engagement agents are add-ons that use credits, and the price is high for small teams.

Factorial

Factorial includes recruiting inside its HR software. According to its site, the AI analyzes CVs, identifies key skills and segments candidates, and its Top Match feature finds the best profiles for each role. Example task: rank the applications for an opening without leaving the platform where you already manage your staff. It does not publish a price for the recruiting module: request a quote and ask whether the AI is included.

Teamtailor

Teamtailor is an ATS focused on employer branding: its own careers page, job publishing and candidate tracking. Example task: publish an opening on your careers page and follow candidates through to the offer. It does not publish prices, so request a quote and ask which AI features each plan includes before comparing.

Candidates: bots and agents

A conversational bot is an automatic assistant that interacts with the candidate by chat or messaging. It is used for first contact, for answering frequently asked questions about the job and for scheduling interviews with no manual work. The applicant gets an instant reply instead of waiting days, which improves the candidate experience.

LinkedIn Hiring Assistant

LinkedIn Hiring Assistant is the LinkedIn AI agent for recruiters: it searches and shortlists profiles from what you describe. It is sold as an add-on to LinkedIn Recruiter, with no public price, and its global launch was in English. Example task: shortlist profiles for a technical opening. Consider it only if you already pay for Recruiter.

Copilot Studio

Copilot Studio lets you build your own agent connected to Microsoft 365. Example task: an assistant that answers candidates’ frequent questions (dates, stages, documents) from a Q&A document you maintain. It is billed by credits (a 25,000-credit pack costs $200/month) and needs initial setup. We work on it in the Founderz programs.

Automate repetitive tasks

A large share of a recruiting team’s time goes into copying data between forms, email and spreadsheets. Automation tools do it for you.

Power Automate

Power Automate builds flows between Microsoft and other apps. Example task: when an application arrives through a form, save the CV in SharePoint, notify the recruiter in Teams and send an acknowledgment. 30-day trial; Premium from $15/user/month billed annually. Power Automate is in the Founderz program.

n8n

n8n connects apps with visual workflows and lets you self-host the Community edition, useful if you want to control where candidate data lives. Example task: read the CVs that arrive by email, extract the key data into a sheet and call an AI model for a first summary. Starter from €20/month billed annually. It needs more technical skill than Power Automate.

Job postings with generative AI

Generative AI tools create and optimize job postings from a basic role description. They help tailor the language, avoid terms that discourage applications and adapt the text to each job board. A team that took two to three hours to write and publish a posting on four boards can cut that to under an hour, starting from a structured draft. The text needs human review before it goes out.

What you can optimize with them: the tone and clarity of the description, the keywords so the posting appears in more searches and the consistency between requirements and later evaluation.

Benefits of AI in hiring

The main benefit is recovered time: by automating screening and first contact, the team reinvests the hours in interviews and evaluation. The clearest benefits for an HR department:

• Time saved reading and sorting applications.
• Data-based decisions instead of scattered impressions.
• Better candidate experience with fast replies and constant follow-up.
• Consistency in applying the same criteria to every application.

An example: a team of three that receives peaks of 500 applications per opening can, with an ATS with AI for screening and a bot for first contact, go from two days of shortlisting to reviewing a prioritized list in a few hours. This is an illustrative scenario, not a measured figure. For the benefit to materialize, the team has to know how to use the tools with judgment.

How do you implement AI in hiring?

To implement AI in your hiring process without breaking the current workflow, start with one stage and expand later. Pick the task that takes the most time, apply a tool there and measure the result before taking the next step.

1. Diagnosis: identify the real bottleneck (screening, contact, scheduling).
2. Pilot: apply one tool to a single opening and compare with your previous method.
3. Team training: make sure whoever uses it understands what the algorithm does and where to step in.
4. Scaling: expand to more stages only when the first one works.

The most common mistake is rolling out the technology without preparing the people. That is why training defines who reviews the recommendations, how decisions are documented and when human judgment has the final say. That way you optimize the hiring process in a controlled way and speed up recruiting without losing human evaluation.

For a general framework, see this guide to AI in personnel selection.

Bias and GDPR: limits of AI

The first limit is bias. An algorithm trained on historical data learns the patterns of the past, including its prejudices. Amazon withdrew an internal AI hiring system in 2018 for this reason: the model, trained on ten years of hiring, penalized CVs that included the word “women’s” (Reuters, 2018).

• Final decision on whom to hire: it should not be fully delegated to the algorithm.
• Interpreting context of non-linear careers that a CV does not explain.
• Reviewing bias in the results the system returns.

The second limit is data protection. Processing candidates’ personal data is regulated by the General Data Protection Regulation (GDPR): tell candidates you use AI in the evaluation, be able to justify decisions and do not keep data longer than necessary. In addition, the EU AI Act classifies AI systems used in recruitment as high risk, with requirements for human oversight and documentation. Check with your legal advisor before automating rejections.

How to choose the right tool

Before you buy AI recruiting software, go through these five points with your HR team and whoever handles data protection.

• Privacy and GDPR: where candidate data is stored and whether there is a consent tool.
• Integrations: a tool that does not connect to your current ATS adds work instead of removing it.
• Cost per user: compare the published price, add-ons and the cost of AI credits.
• Language support: check that the product and support work in your language.
• Learning curve: try it with a real opening before you buy.

Prompts to get started

Three prompts to copy into Copilot, ChatGPT, Claude or Gemini. Replace the brackets and do not paste candidates’ personal data into personal accounts.

Job posting

Act as a hiring manager at [company in the industry]. Write a job posting for [role] with these duties: [duties] and these must-have requirements: [requirements].
Use a [friendly and professional] tone, avoid terms that discourage applications and separate must-have from nice-to-have requirements. Maximum [300] words.

Screening criteria

This is a job description: [paste the description].
Turn it into a screening rubric with 5 measurable criteria (experience, skills, education, languages, availability), with a 1 to 5 scale and examples for each level.
Do not use age, gender, nationality or other protected data. Point out which criteria could discriminate by accident.

Candidate replies

Write two replies to candidates of [company] for the [role] position: one for a candidate invited to interview (propose [3] time slots) and one for a candidate who does not continue, respectful in tone with a general reason and no personal data.
Maximum [100] words each.

FAQ about AI tools for recruiting

Short answers to what people search for most about AI tools for recruiting and hiring.

What are the best AI tools for recruiters and talent selection?

It depends on the stage. Manatal, Workable, Teamtailor or Factorial to manage and screen applications, Microsoft Copilot, ChatGPT, Claude or Gemini to draft and summarize, and Power Automate or n8n to automate. Pick one and try it on a real opening.

How do you automate the first screening of candidates?

Define measurable requirements, load the applications into an ATS with AI and let it score and rank the CVs. Then review the shortlist and a sample of the rejected ones yourself. The AI ranks; the decision is yours.

Which tools use AI to filter resumes and leave the decision to the team?

Manatal, Workable and Factorial score or summarize CVs against the job requirements, but the recruiter reviews the shortlist. This is the recommended use: the AI proposes and the team decides.

Is it legal to use AI to reject candidates?

It is possible if you comply with the GDPR and keep human oversight: inform the candidate, justify decisions and avoid opaque systems. The EU AI Act treats recruitment as a high-risk use. Check with your legal advisor.

What role do humans play in AI recruiting processes?

Decision and judgment. The AI screens, ranks and automates the repetitive; the person interprets context, weighs non-linear careers, reviews the algorithm’s bias and decides whom to hire.

Can AI reduce bias in hiring?

It can apply the same criteria to every application, but it can also amplify bias if it learns from homogeneous past hiring. That is why you need explicit criteria, review of results and human oversight.

Is it worth investing in AI recruiting tools?

It depends on volume. With hundreds of applications per opening, the time saved usually justifies it. With low volume, a general assistant such as Copilot or ChatGPT may be enough. Try a free version first and confirm GDPR compliance.

Your next step

Back to the team from the start: 400 applications for one opening. That problem is not solved by reading faster but by method: a tool that screens the CVs, a flow that handles first contact and a team trained to decide where human judgment steps in. If you want your team to apply these tools with judgment and not just to try them, the Founderz AI program is built for real processes, with responsible use. Founderz is a Microsoft Worldwide Training Partner.