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A well-written job ad lays the foundation for your hiring process. It’s the key to attracting and hiring top talent. The current talent acquisition landscape is competitive. And top talent doesn’t stay for long without a job offer. So, this is where the question about AI for writing automation and manual processes comes in.
Which process can you use to write an effective job ad that contains all the important fields?
Read on to learn why we advise you to use the AI automation process.
The Manual Job Ad Writing approach
The traditional approach to writing job ads involves a manual paper-based process. This process is time-consuming and prone to error.
Hiring managers start writing job ads from scratch, relying on their knowledge for the open role. And with this process, it’s easy to miss out on including crucial job posting details.
Plus any feedback and collaboration from different stakeholders involved in the job ad writing is time-consuming since copies of the job postings must be circulated and reviewed.
For instance, according to iHire survey, only 48.6% of leaders believe their job postings are fruitful.
From the survey, the most challenging work of building the job postings are:
- Knowing the type of details to include to attract top talent
- How to sell the organization’s brand
- Optimizing the job posting for search engines
- How to define the persona of the particular applicant the company wants to hire
- Including a salary range
- Writing the job ad using the right words
- Finding time to write the job posting
Unfortunately, solving most of the above problems with the manual job ad writing process is time-consuming.
But, the manual process still has its benefits. For instance, it ensures a human touch, creative touch, and writing of job ads tailored to the specific candidate.
While the manual approach has served organizations well before, times have changed. And because of that, companies should AI job ad writing solutions.
This is especially important if your organization and departments are growing. Therefore, moving from a complete manual writing process will help your organization stay competitive and grab top talent. So read on and learn why AI writing automation for job ads is better than the traditional approach.
The AI for Writing Automation Job Ad Approach
According to Tidio’s AI hiring study, almost 67% of HR leaders believe AI provides numerous benefits to the hiring process:
- 44% agreed it would free up the recruiter’s time
- 41% said artificial intelligence provides them with valuable hiring data and insights
- 39% believe it would make their recruitment work easier.
So, here are some of the benefits artificial intelligence offers recruiters writing job postings. And why it is the best alternative to the manual process:
1. AI for Writing Automation Improves Candidate Matching
AI for writing automation uses an advanced machine learning process to improve your matching with top talent this way:
- SEO Optimization for Search Engines: The software helps you incorporate phrases and terms that candidates use to find jobs for the specific job opening you’re hiring for. So, this way, your job ad is easily found by the right candidates.
- Advanced Distribution: The technology helps distribute your job postings to your preferred and targeted social media profiles and job boards. For instance, if you want your job ad distributed to people of color, the platform can easily do this.
- Better Job Descriptions: With AI writing automation, your job descriptions are consistent and inclusive. This also ensures you attract a wide range of candidates.
This process of doing a perfect candidate matching would take you weeks if you were doing it manually.
2. AI for Writing Automation Helps Create Consistent and Bias-Free Job Descriptions, Fast
There’s no job ad without a job description. And AI-powered tools don’t only help with writing job ads, they also help to write job descriptions.
Writing job descriptions using the traditional methods of Word Documents is tedious and prone to error.
So, this is where AI platforms through automation are helpful to standardize the language, formatting, and tone of your job descriptions. Here’s how:
- Step-by-Step Building Process: The tools use AI writing automation to guide you through the job description building and updating process.
- Pre-Populated Content: The software use content libraries and existing templates to auto-populate different JD sections and fields. So, this ensures there’s consistency across all the organization’s JDs.
- Intelligent Recommendations: The AI tools can suggest the appropriate job title, keywords, effective job title length, and important sections to include to boost the job description.
Ongig’s Text Analyzer does all of the above things plus more. It helps you remove dull and biased job descriptions on a large scale.
Read also: 10 Best Ways to Rewrite Job Description Content with AI
3. AI for Writing Automation Enhances Positive Candidate Experience
A positive candidate experience ensures candidates finish their applications smoothly. And a good candidate experience doesn’t only start at the interview process. So, it starts with the language and structure of your job descriptions and job ads.
Here are different use cases for how AI writing for automation helps:
- Personalized Engagement and Communication: With AI automation, it’s easier to tailor the feedback and communication to the specific candidate you’re hiring.
- Quick Application Process: With AI software, you easily manage any challenges in the application stage by providing candidates with all the information they need at the right time.
- Engaging Storytelling: You can quickly generate compelling high-quality content about your brand to remove boredom and increase the excitement of candidates applying for your job openings.
Doing this process manually would take months to ensure all your candidates get a smooth experience.
4. Accurate Compensation Package
AI software uses advanced intelligence to ensure your job ads reflect compensation packages that align with the current market rates.
So by analyzing the industry market rates, AI can do a competitive salary benchmarking. The tools compare your salary range with your competitors and industry in minutes. And provide you with the correct salary range.
Because of this, you attract top talent who are looking for good compensation for their efforts.
On the other hand, if you were to perform this process manually, it would take you days to sift through different reports to understand the correct salary range for your job posting.
5. AI for Writing Automation Enhances Good Formatting and Standards
A uniform job ad format is crucial for a smooth recruitment process. But, when organizations and departments grow, it becomes a challenge to maintain the standard format. This is especially difficult if you’re doing the process manually.
So using AI for writing automation simplifies the formatting process this way:
- Enhanced Standard Structure: With AI writing automation, you only need to provide the tool with information on the structure you want. And, the software will provide a job posting with standard paragraph breaks, headlines, and messaging.
- Improved Mobile Friendliness: An AI tool will format the job posting to ensure it’s mobile-friendly for the many candidates who use mobile phones to apply for jobs.
6. AI for Writing Automation for Easier Compliance Process
Your organization may get on the wrong side of employment law because of writing a job ad that doesn’t adhere to labor laws.
This is where AI for writing automation comes in. Some AI tools adhere to industry and legal standards to minimize legal risks. Ensuring the job posting adheres to local and sometimes international labor laws can be time-consuming.
Image Source: Dylan Gillis on Unsplash
Compliance for managing job ads is important because of some of these reasons:
- Equal Employment Opportunity (EEO) Compliance: Job ads must adhere to EEO regulations to ensure no candidate is discriminated against on grounds of gender, age, religion, disability, or race. Failure to comply can lead to lawsuits.
- Americans with Disabilities (ADA): A job posting should not exempt people living with disabilities from applying for a job. Non-compliance leads to discrimination claims and legal problems.
- Data Protection and Privacy Laws: Job ads sometimes may contain sensitive candidate details such as skills, educational background, and work history. Compliance is crucial to ensure the information is processed legally.
- Immigration Laws: Job posting requirements related to work authorization must comply with immigration regulations. Non-compliance results in legal penalties and challenges hiring any foreign talent.
- Record-keeping requirements: Legal labor laws may dictate the timeline for storing job ads, the storage manner, and the format storage. Compliance ensures your company can provide correct documents during a legal dispute.
7. A/B Testing of Different Job Postings Versions
Another advantage of AI for writing automation is the ability to do test automation with different job ad versions to get what you need. You can do this by using A/B testing to find the most effective format and messaging
Plus you can also, test headlines, descriptions, and calls to action to improve candidate engagement and response rates. If you were to do the A/B testing process manually or with Google Sheets, it would take you weeks. Because you’d have to write many different versions and request approval from different stakeholders before you all settle on the correct version.
8. Provision of Job Ad Performance Analytics
It’s challenging trying to understand job ad data manually. And the process is time-consuming. Now this is where AI-powered tools come in to help you understand the performance of your different job postings in these ways:
- Help Identify Your Top Job Posts: Using AI for writing automation, you’ll get simplified data to understand the job ads that are performing well. And the reasons why they’re performing well than others.
- Helps Optimize for Effectiveness: You’ll use the data you’ve gotten from your AI tool to tweak and try to improve the less-performing job ads for improved results.
- Easily Measure the ROI of the Job Postings: You’ll get simplified data to understand if the investment in your recruitment process is successful.
By studying this data, you’ll find that you’re improving your entire recruitment pipeline, from the application stage to the last stage.
9. AI for Writing Automation Provides Effective Quality Control
Performing a quality control process for your job ads manually takes many weeks. And it can take longer if your organization is big.
Now this is where AI for writing automation comes in. AI-powered platforms can perform a job ad quality control process in minutes in these ways:
- Grammar Checks: Bad spelling sends a message to your prospective candidates that you’re not a professional. AI quickly checks for grammar, spelling, and punctuation issues.
- Standard Structure: AI job description software verifies the language, tone, and formatting of your job ads to ensure consistency.
- Checking missing Sections: With AI writing automation, it’s easy to identify important sections that candidates look for in a job ad and know if you’ve included them.
- Enhanced Inclusivity: With the tools, you’ll identify if your job ads are inclusive to all candidates.
10. AI for Writing Automation Improves SEO Optimization
Making job postings SEO-friendly doesn’t just help prospective candidates find them easily. It also makes the job ads’s details clear. Plus, it helps to show exactly the type of applicant you’re looking for.
Here’s how AI writing automation helps:
- Keyword Placement: Artificial intelligence tools can help incorporate the terms and phrases your target audience candidates write when looking for the specific type of job opening you have.
- Provision of Meta Descriptions: With AI, you can generate an impressive meta-description summary to encourage prospective candidates to click on your job ads.
- Enhanced On-Page SEO: AI software can boost the on-page SEO optimization of your job postings by checking factors such as header tags.
Performing this SEO optimization process manually would take you weeks because you’d spend a lot of time figuring out which keywords to include and where to include them.
Read also: 9 Tips and Best Practices for SEO-Friendly Job Descriptions
11. Time Saving
AI for writing automation for job ads saves time in these ways:
- Improved Collaboration: The ai-powered tools enhance easy collaboration between all stakeholders involved in the job ad writing process.
- Integration with Other Hiring Tools: Different job ad web applications writing software integrates with your company’s other recruitment tools.
- Automation of repetitive tasks: The powerful tool automates all job ad writing repetitive tasks such as building the job posting from scratch, editing, and updating.
This way, you can focus on other crucial hiring tasks such as providing a good onboarding process to your candidates.
Best Practices for Writing a Job Ad with AI
Using AI for writing automation of job ads comes with some limitations.
So, following some of the practices below will help you reduce some challenges:
- Don’t Over-Rely on Automated Suggestions
A frequent mistake recruiters make is over-relying on automated suggestions.
AI tools that provide AI-generated content are helpful but shouldn’t replace human intervention because they sometimes give out false positive data.
A software development tool that leverages artificial intelligence can identify important topic ideas. But, may struggle to understand the given text deeply.
Yes, machine learning and natural language processing are powerful, but sometimes they need to catch up when it comes to context. For example, this is correct when it comes to unstructured text data, eg social media posts.
So, don’t blindly accept the suggestions. Review, edit, and adjust according to the needs of what you want.
- Provide Clear Job Ad Prompts
Provide clear information on the job title, the job opening, your company culture and values, style, and tone. Plus the skills you need from the applicant. And any additional details you feel will make it easy to attract the top talent.
- Use Supplementary Software to Check Your Job Ads
If you’re using an AI tool such as ChatGpt or Claude in your Job Ad content creation process, we recommend adding job description management software such as Ongig’s Text Analyzer software to your workflow.
Text Analyzer uses generative AI and automation to simplify job ad creation from scratch to posting on job boards. This way, you remove the many prompts and steps you would have used if you were using Claude or ChatGPT alone.
In the YouTube video below Ongig’s Head of Content Strategy, Heather Fenty, shows how you can use Ongig to:
- Build a job description from scratch
- Optimize the content for inclusivity
- Edit the draft to minimize bias and boost readability
- Use Plain Language
Use simple and straightforward language when providing AI with instructions. Avoid complex terminology that could confuse the AI model because it could lead to less input.
- Physically Review your Output
Check your ads and edit them to ensure they’re accurate, clear, and readable. Let your legal team review your job ads to ensure they comply with regulations and employment laws.
Plus always include other HR leaders in the organization in the job ad review process. They’ll help provide important insights into the job opening.
Combining Both AI and Manual Approach When Writing Job Postings
Yes AI automation offers more benefits when compared to the manual process of writing job ads.
But, combining the two approaches provides additional benefits because you get to reduce the limitations of each approach.
For instance, the manual approach can remove any bias that might have crept through the AI automation writing process. Plus you can use AI to get the first draft quickly and have a human review the first draft.
So before you begin writing your job ad, build documentation of steps to ensure the hiring team gets to use the two methods. For instance, you can have written details such as:
- The first draft will be drafted through AI
- We’ll get keywords through AI automation
- Through AI we’ll do test cases of the job ad quality control
- We’ll check the job ad performance through AI
- The last person to review the job ad is the hiring manager
- We’ll improve the compliance process through AI.
Writing detailed documentation of the steps that should be done with a specific approach will make the hiring team’s work easy.
AI for Writing Automation with Job Ads: Trends to Watch in 2025
As AI technology keeps advancing, it’s reshaping the way we create job ads. In 2025, we’re likely to see even smarter, more personalized AI tools that can adapt to specific needs. Thus, allowing hiring teams to create job ads that speak directly to potential candidates.
So, let’s take a look at some of the key trends.
Personalization with AI Algorithms
AI algorithms are becoming more sophisticated. Therefore, this means they can analyze historical data to help create more targeted and personalized job ads. So, by learning from what has worked well in past ads, AI tools can suggest specific wording, writing style, and content that might appeal to certain candidate types. This is similar to how AI content tools are already helping create product descriptions, landing pages, and website copy that match a company’s brand voice.
Natural Language Processing (NLP) and Large Language Models
With advancements in large language models, AI is now able to write in plain English, which makes job ads feel more relatable and human. So, these models can improve ease of use, making it simple for teams to create high-quality ads that read naturally. NLP also helps with fine-tuning the tone and style, which is essential for making the content sound authentic and less robotic.
Intelligent Test Case Generation for Job Ads
AI testing tools, often used for software testing and mobile testing, are now being adapted for content generation. As such, intelligent test case generation, which has been a game-changer in automation testing and test scripts, is helping improve the accuracy of AI-generated job ads. Therefore, by simulating different scenarios or “test runs,” these tools ensure that job ads match various platforms. These include social media platforms and desktop applications. Thus, providing a consistent candidate experience across all channels.
Reducing Manual Work and Human Error
With AI capabilities becoming more reliable, job ads are increasingly being created with automation tools that minimize human error. So, similar to the way QA teams use tools for regression testing and performance testing, AI-powered writing tools can improve test coverage in job ad creation by analyzing test data to catch errors before ads go live. This also reduces time-consuming tasks for content writers and QA teams alike.
High-Quality Original Content at Scale
More companies are looking to AI for generating high-quality, original content quickly. AI-powered writing tools are evolving to provide a free trial or even a free plan. So, this makes them accessible for business owners, sales teams, and marketers who need to scale up their marketing efforts. Some AI tools are also now integrating with popular platforms like Google Docs, making it easier to blend AI with manual testing and content writing processes.
Enhancing User Experience with AI
AI tools are helping create job ads that improve user experience, especially by testing them on various industries and scenarios. For example, AI tools that have specialized features for specific business processes or software programs can adjust language and layout for mobile applications, web pages, or even visual testing on different user interfaces. This adaptability is key for companies looking to produce job ads that connect with users on a personal level.
Personalization Across Various Platforms
Finally, one of the most exciting trends in 2025 is that AI is becoming more flexible and adaptable across various platforms. Companies can now use AI-powered writing software to create job ads that work seamlessly on social media platforms, company websites, and even in email campaigns. So, this allows for a consistent brand voice across all channels, creating a strong first impression for potential candidates.
FAQs
1. Should hiring teams use AI for writing Job Ads
Yes. AI can help recruitment teams generate a first job ad draft in minutes. You can use AI to research your job ad keywords, and salary, and write the different sections of the job posting. But AI has limitations, before posting the job ad, let a human review it first.
2. What are the advantages of using AI to write Job Ads compared to manual writing?
Writing job ads with AI has numerous benefits such as time-saving, quick A/B testing of different versions of job postings, better job ad quality control, and enhancement of a proper compliance process.
3. Which are the best AI writing tools for writing job ads?
Numerous AI tools can help you write job ads. But the questions you need to ask yourself are: is this tool cost-effective for my organization? How easy is it to use? Can this AI tool help me achieve my job ad writing goals? After that, you can look for options that match your goals. And start with the ones offering free trials and free plans for a specified period.
Read also: 13 Best AI Job Description Tools (2024 Update)
WHY I WROTE THIS
Increasing the speed at which you post your job descriptions ensures you attract top talent who are looking. So to stay competitive in the recruitment world, embrace the use of AI for writing automation of job ads.
Our focus at Ongig is to help you achieve your different hiring aspirations by writing effective job descriptions. Book a demo today to see how you can write an inclusive, consistent job description fast.
