How to Review Job Applications Using AI
You can review job applications using AI by giving an AI platform or recruitment tool the vacancy requirements and candidate information, then asking it to summarise each application, identify relevant evidence and highlight areas for human review. The final shortlisting decision should remain with the employer.
What are the two main ways to review job applications using AI?
Use a general AI platform
Give the AI your job requirements and candidate application, then use a structured prompt to ask for a summary and evidence-based assessment.
Useful when you want a flexible, one-off review process.Use a dedicated recruitment AI tool
Use software designed specifically for hiring, where vacancy criteria, candidate applications, AI reviews and shortlisting can sit together.
Useful when you recruit regularly or review several candidates.Before asking AI to assess somebody, define what actually matters for the job. An excellent AI prompt cannot compensate for vague or inappropriate candidate requirements.
Review job applications using a general AI platform
General AI platforms can analyse candidate documents when you provide enough context about the vacancy and tell the model exactly how you want the application reviewed.
The simplest method is to provide two pieces of information:
The vacancy
Include the responsibilities, essential requirements, desirable criteria, qualifications and practical requirements.
The candidate application
Provide the CV, application form, screening answers or other relevant candidate information you are permitted to process.
Which AI platform can you use to review job applications?
Several general AI platforms can work with uploaded documents and follow structured review instructions. The best choice may depend on the files, workflow and other tasks you want to complete.
ChatGPT
ChatGPT can work with uploaded documents and apply a framework or rubric to information within those files, making it suitable for structured candidate-review prompts.
Google Gemini
Gemini can analyse uploaded documents and other files, allowing employers to provide vacancy information alongside candidate documents for analysis.
Perplexity
Perplexity can analyse uploaded files and is particularly useful where document analysis needs to sit alongside external research or source-backed information.
If external research is useful, use it to understand job-related subjects such as unfamiliar qualifications, software or professional terminology. Do not use unrelated personal information found online as a substitute for assessing the evidence supplied through the recruitment process.
Define the candidate profile before asking AI to review anybody
The AI needs a clear assessment framework. If the criteria are vague, the resulting review is likely to be vague too.
What must the candidate demonstrate?
- Core job-related skills
- Experience genuinely needed for the role
- Required qualifications or licences
- Essential location or travel requirements
- Other verifiable practical requirements
What would be useful but trainable?
- Experience in the same industry
- Knowledge of particular software
- Additional qualifications
- Previous exposure to similar customers
- Skills that could reduce training time
If you have not defined these yet, start with 7 Things to Know Before Posting Jobs Online .
What prompt should you use to review a job application with AI?
The prompt should tell the AI what evidence to look for, what not to infer and how you want the result structured.
You are helping me review a candidate application for the following vacancy.
Job title: [Job title]
Main responsibilities: [Responsibilities]
Essential requirements: [Essential requirements]
Desirable requirements: [Desirable requirements]
Location / working requirements: [Requirements]
Review the candidate only against evidence contained in their application. Do not make assumptions about information that is not provided.
Please return:
- A short candidate summary.
- Evidence that matches each essential requirement.
- Evidence that matches desirable requirements.
- Requirements where evidence is unclear or missing.
- Relevant strengths supported by the application.
- Questions I should consider asking at screening or interview.
- A short overall assessment explaining the evidence I should review before deciding whether the candidate progresses.
Do not assess protected characteristics, infer personal traits or make the final recruitment decision for me.
Candidate application:
[Paste or upload candidate CV/application]
It asks for evidence against predetermined criteria rather than inviting the AI to invent its own definition of a strong applicant.
How do you improve an AI candidate-review prompt?
Provide specific criteria
Replace broad instructions such as “find the best applicant” with job-related requirements the AI can look for.
Ask for evidence
Tell the AI to explain which part of the application supports each conclusion.
Tell it not to guess
Missing information should be labelled as unclear rather than treated automatically as a negative.
Generate follow-up questions
Use unclear evidence to inform screening or interview questions rather than immediately rejecting the candidate.
Use the same format
Ask for every candidate to be reviewed using the same headings so applications are easier to compare.
Keep the decision human
Ask AI for an assessment of the evidence rather than permission to reject or hire somebody.
Use a dedicated AI recruitment application-review tool
A dedicated recruitment tool can remove much of the setup required when using a general-purpose AI platform.
Instead of repeatedly pasting the job description, rewriting prompts and manually storing the output, recruitment software can connect the AI review directly with the vacancy and candidate record.
Save job requirements
The vacancy and assessment criteria can remain attached to the campaign.
Built-in review prompts
Recruitment-specific instructions can already be designed into the tool.
Review several candidates
Candidate applications can be analysed within the same recruitment workflow.
Save the reviews
Analysis can remain connected to the candidate rather than living in a separate AI chat.
Shortlisting workflow
Recruiters can move candidates through application stages after completing their review.
One recruitment system
Application analysis can sit alongside notes, interviews and other hiring activity.
AI recruitment tools for reviewing job applications
If you review applications regularly, a recruitment-specific system can provide a more structured alternative to running each application through a standalone AI conversation.
Career Poster AI Application Reviewer
Career Poster lets employers review and compare candidate CVs against job requirements, with AI-generated summaries, strengths, areas to review and suggested shortlisting information within the recruitment workflow.
Workable Screening Assistant
Workable's AI Screening Assistant analyses candidate information against job requirements and provides candidate summaries and matching information to support early-stage screening.
Recruitee Screening Assistant
Recruitee's AI-powered Screening Assistant reviews applications against criteria set by the hiring team and surfaces relevant information to support screening decisions.
Already have applications to review?
Use Career Poster's recruitment-specific AI reviewer to analyse candidates against your vacancy and manage the resulting shortlist in one place.
Should you use ChatGPT-style AI or a recruitment AI tool?
Both approaches can work. The better option depends mainly on how often you recruit and how much of the surrounding recruitment workflow you want automated.
| General AI platform | Recruitment AI tool | |
|---|---|---|
| Setup | You provide the prompt and criteria | Recruitment workflow may already be structured |
| Job information | Usually supplied manually | Can remain attached to the vacancy |
| Candidate files | Upload or paste them into the AI conversation | Applications can already exist in the ATS |
| Prompting | You design the review instructions | Recruitment prompts may be built in |
| Multiple candidates | Requires careful organisation | Designed around candidate records or pipelines |
| Saved review | Lives within the AI conversation unless copied elsewhere | Can remain with the candidate record |
| Shortlisting | Usually handled separately | Can form part of the recruitment workflow |
| Best suited to | Flexible or occasional AI-assisted reviews | Repeat recruitment and larger candidate volumes |
How to review job applications with AI in 7 steps
Define the requirements
Separate essential criteria from desirable skills before reviewing candidates.
Choose the AI method
Decide whether to use a general AI platform or recruitment-specific tool.
Provide the vacancy context
Give the AI enough information to understand the responsibilities and requirements of the job.
Add the candidate application
Provide the relevant CV, application answers or candidate information.
Ask for evidence-based analysis
Request a structured comparison rather than a vague judgement about whether the candidate is “good”.
Verify the AI review
Check important conclusions against the candidate's original application.
Make the human shortlisting decision
Decide whether to progress the candidate and record the job-related reasons.
What information should AI review in a job application?
Relevant employment history
Look for responsibilities and evidence connected to the work required.
Relevant capabilities
Identify skills supported by examples in the application.
Required credentials
Confirm evidence for qualifications, licences or registrations where necessary.
Evidence of results
Surface examples where the candidate explains what their work achieved.
Job-related logistics
Review relevant location, travel or working-pattern information where appropriate.
Information to clarify
Identify important areas where the application does not provide enough evidence.
Can AI review multiple candidates for the same job?
A useful workflow is to produce the same structured review for every applicant before comparing the results.
This keeps the focus on whether each applicant can meet the requirements rather than allowing one unusually strong CV to change the standard used for everybody else.
Should AI decide which candidates make the shortlist?
AI-generated summaries can be wrong, incomplete or overly influenced by how information is phrased.
The recruiter should therefore return to the original application before deciding whether somebody progresses.
Processing information
- Summarising CVs
- Organising evidence
- Comparing against criteria
- Finding relevant information
- Suggesting follow-up questions
Recruitment decisions
- Checking source information
- Understanding context
- Deciding who progresses
- Conducting interviews
- Making the hiring decision
Read more in 7 Ways AI Recruitment Tools Improve Application Review .
What should employers consider before uploading CVs to AI?
CVs and job applications contain personal information, so employers should consider how candidate data is being processed before introducing an AI service into the recruitment workflow.
Understand where data goes
Check the provider's privacy, security and data-processing arrangements.
Be transparent
Consider what candidates need to know about how their information is being used during recruitment.
Use only necessary information
Avoid providing personal information that is not relevant to the recruitment task.
Review fairness
Ensure assessment criteria remain relevant to the job and monitor AI-assisted processes for unfair outcomes.
If candidate personal information is processed using AI, make sure your organisation understands the provider, purpose, safeguards and level of human involvement before relying on the system.
What should happen after AI-assisted shortlisting?
Once applications have been reviewed, suitable candidates can move into the next stage of the recruitment process.
What other AI recruitment tools are available?
Application review is only one use of AI in recruitment. Different tools can also help with candidate sourcing, job adverts, salary review, interview preparation and recruitment automation.
Top AI Recruitment Tools You Can Use Today
Compare AI tools for vacancy creation, candidate sourcing, application review, interviews and wider recruitment workflows.
You still need to attract the right applications
AI can help review applications efficiently, but the quality of the shortlist still depends heavily on the candidates your vacancy attracts in the first place.
Advertise your vacancy across multiple job boards
Career Poster combines multi-job-board recruitment advertising, applicant management and AI recruitment tools within one employer service.
Want to skip the prompt setup?
Use Career Poster's AI Application Reviewer to analyse candidate information against your vacancy within a recruitment-specific workflow, then complete your own human assessment and shortlist.
Reviewing job applications with AI FAQs
How do I use AI to review job applications?
Define the essential and desirable requirements of the vacancy, provide the AI with those criteria and the candidate application, ask for an evidence-based review and then verify the AI output against the original candidate information before making a shortlisting decision.
Can I use ChatGPT to review CVs?
ChatGPT can analyse uploaded documents and apply a structured framework to their contents. For recruitment, provide clear job criteria and ask it to identify evidence rather than simply asking whether somebody is a good candidate.
Can Gemini review job applications?
Gemini can analyse uploaded documents and other files. You can provide the vacancy criteria alongside candidate information and request a structured assessment of the application.
Can Perplexity review a CV?
Perplexity supports uploaded document analysis. It can also be useful where you separately need source-backed research about unfamiliar job-related qualifications or terminology.
What is the best prompt for reviewing a CV with AI?
A strong prompt defines the job requirements, asks the AI to assess only evidence actually provided by the candidate, separates essential and desirable criteria and asks the AI to identify missing or unclear information rather than inventing assumptions.
Can AI compare multiple job applicants?
Yes. For a fairer and more consistent process, assess every candidate using the same predetermined job-related criteria and review format before comparing the resulting evidence.
Is a recruitment AI tool better than using ChatGPT directly?
It depends on the workflow. General AI platforms provide flexibility, while recruitment-specific tools can save vacancy information, use built-in recruitment prompts, store candidate reviews and connect analysis with shortlisting and applicant tracking.
Should AI automatically reject job applicants?
Employers should understand and verify the evidence behind important recruitment decisions and use appropriate human oversight. AI is often most useful as a decision-support tool rather than an unquestioned final decision-maker.
What information should AI look for in a CV?
Focus on job-related evidence such as relevant responsibilities, skills, experience, required qualifications, achievements and essential practical requirements. Missing information can be identified for later clarification.
Can AI help create interview questions from a CV?
Yes. Once the application has been reviewed, AI can help turn relevant experience, achievements and unclear areas into focused interview questions for the candidate.
