The best ai tools for salary research answer a question that decides real money: what is this job actually worth? A candidate who walks into a negotiation without a number will accept the first offer, and a manager who sets pay without market data will lose good people to a competitor who checked. The tools in this guide gather salary data from millions of real employees, job adverts and company filings, and turn it into a range you can use in a conversation, a negotiation or a hiring decision.
Most salary research goes wrong in the same way. A person looks at one number, usually the average for a job title, and treats it as the answer. The average hides the range, and the range is where the negotiation happens. A software engineer in San Francisco earns a different salary from one in Austin, a senior role pays differently from a mid-level one, and a company of ten people pays differently from a company of ten thousand. The tools that work best show the range by location, experience and company size, so the number you take into the room is specific to your situation rather than a national average.
This guide compares twelve tools on what matters to a real salary decision: how much data they hold, how current it is, whether they break it down by location and level, what the free tier covers, and what the paid plan costs. Prices were verified in November 2026 and are listed in US dollars, before tax. Where no price is published, the guide states that directly rather than guessing.
Quick jump
- Quick Answer. Best ai tools for salary research in 30 Seconds
- What the Price Actually Covers
- The Best ai tools for salary research Tools in Detail
- Best Pick by Job
- Choosing the Right One for Your Work
- Costly Mistakes to Avoid
- Your First 30 Days With a New Tool
- How to Get the Most Value From Your Plan
- Frequently Asked Questions
- The Bottom Line
Quick Answer. Best ai tools for salary research in 30 Seconds
The best ai tools for salary research for most people is Glassdoor, because it combines salary data from real employees with company reviews and interview reports, all free with an account. Levels.fyi is the best pick for tech roles, since its data is verified and broken down by level and company, while Payscale is the strongest choice for an employer or manager who needs a formal compensation report for a hiring decision.
Do this test before you pay for a single thing. Look up the same role on three tools, using the same location and experience level, and compare the ranges. If the three ranges overlap, the middle of the overlap is a reliable number. If they disagree wildly, the role is too broad or the location is too vague, and you need to narrow the search before you trust any single figure.
| Tool | Best for | Free tier | Paid from |
|---|---|---|---|
| Glassdoor | Salaries plus company reviews | Free with account | Free |
| Levels.fyi | Verified tech salaries by level | Free with account | Free |
| Payscale | Formal compensation reports | Free salary report | $129 a month for employers |
| Salary.com | Employer compensation data | Free basic reports | Check at checkout |
| Salary insights from profiles | Free with account | $39.99 a month for Premium | |
| Indeed | Salary data from job adverts | Free | Free |
| Robert Half | Salary guide for hiring | Free guide | Free |
| Built In | Tech salaries by city | Free | Free |
| Comparably | Salaries plus culture scores | Free with account | Free |
| SalaryExpert | Global salary data | Free basic reports | Check at checkout |
| Hired | Tech salaries from real offers | Free with account | Free |
| Candor | Startup and tech salary data | Free | Free |
What the Price Actually Covers
A salary research subscription usually bundles three things. The first is the data itself, which means the number of salary reports, how recent they are, and whether they break down by location, level and company size. The second is the report, which covers the formal document an employer can use in a hiring decision, with the methodology and the sample size stated. The third is the limit, and that is the part to read before you pay: monthly reports, the number of roles you can research and the seats on each tier.
The best ai tools for salary research earn their price when the number holds up in a real conversation. That means a range that matches what employers in your city actually pay, with a sample size large enough to trust. A tool whose data is two years old will mislead you, because salaries move with the market, and a tool whose sample is ten people will mislead you for the opposite reason. Check the date and the sample size on every report before you use the number.
Pay as much attention to the renewal terms as to the headline price. Several tools here offer a free tier that covers most of what an individual needs, and the paid tier only matters for an employer running regular compensation reviews. Start free, use the number in one real negotiation or hiring decision, and only pay when the free data runs out or the formal report is required.
The Best ai tools for salary research Tools in Detail
For salary research, the twelve reviews below take each tool one by one, with its price, its free plan and where it starts to fall short. Read the reviews for the job you need done first, whether that is negotiating a raise, checking a job offer or setting pay for a team, and skip the rest until that job is covered.
1. Glassdoor. Best for salaries plus company reviews
Glassdoor is the most used salary tool in this list, and its strength is the combination. A salary figure sits next to reviews of the same company, the interview questions candidates were asked, and the benefits on offer, so the number comes with context. The salary data comes from employees who report their own pay, and the filters break it down by location, experience and job title.
The account is free, with no paid tier for individuals to worry about. That makes Glassdoor the obvious first stop for any salary question. The limitation is the data itself: salaries vary by location and by company, and the self-reported figures can be optimistic or out of date. Cross-check the number against one other source before you use it in a negotiation.
What works. Free salary data with company reviews and interview reports. What to watch. Self-reported data varies, so cross-check before negotiating.
2. Levels.fyi. Best for verified tech salaries by level
Levels.fyi is the standard for tech salaries. Its data is verified from offer letters and pay slips, and it breaks pay down by level, company and location, showing base salary, stock and bonus separately. A software engineer can see exactly what a senior role at a specific company pays, which is the level of detail a negotiation needs.
The account is free, with no paid tier for individuals. That makes it the best tool in this guide for anyone in tech, because the verification gives the numbers a credibility that self-reported data cannot match. The limitation is the coverage: it is strongest in tech and in the US, and thinner for other industries and other countries.
What works. Verified tech pay by level, with stock and bonus shown separately. What to watch. Coverage is strongest in tech and the US.
3. Payscale. Best for formal compensation reports
Payscale is the tool employers use when the number needs to be defensible. Its reports show the salary range for a role by location, experience and company size, with the methodology and the sample size stated, so a manager can present the figure in a hiring meeting without being challenged. The AI tools match a job description to the market and suggest a range for a new role.
An individual salary report is free, and employer plans start at $129 a month. That price only makes sense for a business setting pay for a team, because an individual will get what they need from the free report. For an employer, the formal report is the product, and the price buys the credibility that a free website cannot provide.
What works. Formal, defensible compensation reports for employers. What to watch. The paid tier is priced for employers, not individuals.
4. Salary.com. Best for employer compensation data
Salary.com is the other employer-grade tool, with a large database of salary data drawn from company filings, job adverts and employee reports. Its reports break pay down by location, industry and company size, and its tools help an employer build a full compensation plan rather than a single number. The data is current, and the methodology is stated on every report.
Basic reports are free, and the full employer platform is priced on request, so check the current rates at checkout. For an individual, the free reports are enough to check a job offer. For an employer, the platform is the reason to pay, because it covers the whole team rather than one role at a time.
What works. Large, current database with employer-grade reporting. What to watch. Full pricing is quoted, and the free reports are basic.
5. LinkedIn. Best for salary insights from profiles
LinkedIn’s salary insights draw on its own data: the profiles, job adverts and salary reports of millions of members. The tool shows the range for a role in a city, the skills that raise pay, and the companies hiring for that role now. That combination is useful for a candidate, because the salary figure sits next to the actual jobs that pay it.
Salary insights are free with an account, and Premium starts at $39.99 a month, adding more detailed insights and the ability to see who viewed your profile. For a job seeker, the free insights are enough to check an offer. Premium is worth it only if the job search itself needs the extra features, because the salary data is largely available without it.
What works. Salary ranges next to the real jobs that pay them. What to watch. Premium is priced for the job search, not for the salary data alone.
6. Indeed. Best for salary data from job adverts
Indeed’s salary data comes from the job adverts on its own platform, which makes it current and tied to real hiring. The tool shows the average and the range for a role in a city, the companies hiring for it, and the trend over time. A candidate can see whether pay for a role is rising or falling, which is useful information before a negotiation.
The account is free, with no paid tier for salary research. That makes Indeed a good second source for cross-checking a number from Glassdoor or Levels.fyi. The limitation is the depth: the data is strong on the average and thin on the breakdown by level and company size, so it suits a quick check rather than a detailed negotiation.
What works. Free, current salary data tied to real job adverts. What to watch. Thin on breakdowns by level and company size.
7. Robert Half. Best for salary guide for hiring
Robert Half publishes an annual salary guide that is free to download, covering accounting, finance, technology, marketing, legal and administrative roles across the US. The guide shows the range for each role by city, with the midpoint and the top of the range, and it is based on the placements the firm actually makes, which gives the numbers a practical grounding.
The guide is free, with no paid tier. That makes it the best free source for a hiring manager who needs a quick reference for a role, and a useful cross-check for a candidate. The limitation is the timing: the guide is published once a year, so the numbers can be months out of date in a fast-moving market.
What works. A free, practical salary guide based on real placements. What to watch. Published once a year, so the numbers can age.
8. Built In. Best for tech salaries by city
Built In covers tech salaries by city, with data drawn from job adverts and company reports in the major US tech hubs. Its salary pages show the range for a role in a specific city, the companies hiring for it, and the benefits on offer. For a tech worker considering a move to a new city, that local detail is more useful than a national average.
The account is free, with no paid tier for salary research. The coverage is strongest in the cities Built In covers, such as New York, Chicago, Austin and Boston, and thinner elsewhere. Use it as a local check alongside a national source, and the combination will give a reliable number for a move.
What works. Free tech salary data broken down by city. What to watch. Coverage is limited to the cities it serves.
9. Comparably. Best for salaries plus culture scores
Comparably pairs salary data with culture scores, showing how employees rate their company’s leadership, work-life balance and compensation fairness. The salary data is self-reported, and the filters break it down by location, experience and company size. For a candidate choosing between two offers, the culture score can matter as much as the salary figure.
The account is free, with no paid tier for individuals. That makes it a useful second source for a salary check, and a good first source for a culture check. The limitation is the same as Glassdoor: self-reported data varies, so cross-check the number before you use it in a negotiation.
What works. Free salary data with culture scores that help choose between offers. What to watch. Self-reported data, so cross-check the figure.
10. SalaryExpert. Best for global salary data
SalaryExpert covers salaries in more countries than any other tool here, with data for over 190 countries and breakdowns by city, experience and education. Its reports show the range for a role in a specific location, and its cost-of-living data helps a candidate compare an offer in one country with a salary in another. For an international move, that combination is the point.
Basic reports are free, and the full reports are priced on the site, so check the current rates at checkout. For a move within one country, a local tool will give better data. For a move across borders, SalaryExpert is the best source in this guide, because it is the only one that covers the destination properly.
What works. Salary data for over 190 countries, with cost-of-living context. What to watch. Thinner data for smaller cities, and full reports are paid.
11. Hired. Best for tech salaries from real offers
Hired is the tech hiring platform where companies bid for candidates, and its salary data comes from the real offers made on the platform. That makes the numbers current and tied to actual hiring, rather than to self-reports or adverts. The tool shows the range for a role in a city, the skills that raise pay, and the companies making offers now.
The account is free for candidates, with no paid tier for salary research. That makes Hired a good source for a tech worker checking an offer, because the data reflects what companies are actually paying today. The limitation is the coverage: it is strongest in tech and in the US cities where Hired operates.
What works. Free salary data from real offers made on the platform. What to watch. Coverage is limited to tech and the cities Hired serves.
12. Candor. Best for startup and tech salary data
Candor collects salary data from startup and tech employees, with a focus on the roles and companies that the larger tools cover thinly. Its data is self-reported and verified where possible, and it breaks pay down by level, company and location. For a candidate joining a startup, where pay is often equity-heavy and hard to compare, Candor’s breakdown of base, stock and bonus is genuinely useful.
The account is free, with no paid tier. That makes it a useful supplement to Levels.fyi for a startup move, because the two together cover the established companies and the newer ones. The limitation is the sample size: smaller companies have fewer reports, so the range can be wide.
What works. Free startup salary data with base, stock and bonus shown. What to watch. Small samples for smaller companies, so the range can be wide.
Best Pick by Job
Pick from the decision you need to make, not from the feature list. The table coming up matches the common situations to the tool that handles them best, with the reason stated plainly. If your situation is missing, take the best-for line closest to your week and check the same role on three tools.
| Job / Need | Pick | Why |
|---|---|---|
| A candidate checking a job offer | Glassdoor | Free salary data with reviews and interview reports |
| A tech worker negotiating a raise | Levels.fyi | Verified pay by level, with stock and bonus shown |
| An employer setting pay for a team | Payscale | A formal report a manager can defend |
| A move to a new city | Built In | Tech salaries broken down by the city itself |
| A move to another country | SalaryExpert | Data for over 190 countries, with living costs |
| A startup offer with equity | Candor | Base, stock and bonus shown for startup roles |
Choosing the Right One for Your Work
Narrow the search before you trust the number. A role title on its own is too broad, because a software engineer can mean five different jobs at five different levels. Add the location, the experience level and the company size, and the range will narrow to something useful. A tool that cannot filter by those three things is not the right tool for a negotiation.
Check the same role on three tools. If the three ranges overlap, the middle of the overlap is a reliable number. If they disagree wildly, the role is too broad or the location is too vague, and you need to narrow the search before you trust any single figure. A number from one source is a guess; a number from three sources that agree is evidence.
Check the date and the sample size. A salary report from two years ago will mislead you, because pay moves with the market, and a report based on ten people will mislead you for the opposite reason. Look for the date and the sample size on every report, and prefer the tool whose data is recent and whose sample is large for the role you are checking.
Weigh the range against the offer. A job offer at the bottom of the range is a different conversation from an offer at the top, and the range tells you how much room there is to negotiate. If the offer sits below the range, ask for the range. If it sits at the top, negotiate on benefits, title or flexibility instead, because the salary itself may not move further.
Price the year, not the month. Most salary tools are free for individuals, and the paid tiers are priced for employers. An employer should add up the monthly fee over a year and compare it with the cost of a single bad hire, because a salary set too low will lose a good candidate, and a salary set too high will cost the business for years.
Costly Mistakes to Avoid
The first mistake is trusting a single number. The best ai tools for salary research in this guide all show a range, and the range is the point. A candidate who negotiates from the average will leave money on the table, and a manager who sets pay from the average will lose the best candidates. Use the range, check three sources, and take the overlap into the conversation.
The second mistake is ignoring the location. A salary that is generous in one city can be below the cost of living in another, and a national average hides that difference completely. Always check the number for the city where the job is based, and use the cost-of-living data when the move crosses a border. The location is part of the salary, not a detail around it.
The third mistake is forgetting the total package. A salary is only one part of pay, and stock, bonus, pension, health cover and holiday can be worth a fifth of the total. A job offer with a lower salary and a generous package can be worth more than a higher salary with nothing else, so compare the whole package before you decide. The tools that show stock and bonus separately exist for exactly this reason.
Your First 30 Days With a New Tool
Week one is the check. Look up your current role on three tools, using the same location and experience level, and compare the ranges. If the three ranges overlap, write down the middle of the overlap and keep it for the next negotiation. If they disagree, narrow the search until they agree. Do not pay for a report in week one, because the free data usually answers the question.
Week two is about the decision. The best ai tools for salary research prove themselves in the second week, when the number has to be used in a real conversation. Prepare the case for the range you found, gather the evidence from the three sources, and rehearse the conversation. A number without a case is easy to dismiss, and a number with three sources behind it is hard to argue against.
Weeks three and four are the verdict. Use the number in the negotiation or the hiring decision, and note whether it held up. If the employer accepted the range, the research did its job. If the range was wrong, check which source was closest and use that one next time. A salary tool earns its place by being right in the room, not by having the largest database.
How to Get the Most Value From Your Plan
The simplest saving is to use the free tiers first. Most salary tools are free for individuals, and the free data answers most questions. A candidate who checks three free tools will have a reliable number without spending anything, and the paid report is only needed when the decision is formal or the data is thin.
The second saving is to check the number before the negotiation, not during it. A range researched in advance gives you time to prepare the case, while a number looked up in the middle of a conversation will be used badly. Research early, write the number down, and take it into the room with the evidence behind it.
The third saving is to update the research annually. Salaries move with the market, and a number that was right last year can be wrong this year. Check your role once a year, even if you are not looking for a new job, because the market rate is the number that decides whether your current pay is fair.
Frequently Asked Questions
Which option is best for a beginner?
Glassdoor is the best starting point for a beginner, because it is free, it covers most roles, and the salary figure sits next to company reviews and interview reports. Levels.fyi is the better choice for a tech worker, since its verified data is broken down by level and company. Either way, check the same role on three tools before you trust any single figure.
Is there a free option that is actually usable?
Yes. Glassdoor, Levels.fyi, Indeed, Built In, Comparably, Hired and Candor are all free for individuals, and each covers a different angle. The test for any free tier is whether it gives a range with a location and a level, rather than a single national average, and all seven pass that test for a common role. The paid tiers mainly serve employers who need formal reports.
What is the cheapest option here?
For salary research, Glassdoor is the cheapest sensible entry point, as it costs nothing whatsoever. Most of the tools in this guide are free for individuals, so the cheapest plan is free, and the paid tiers are priced for employers. The cheapest option for an employer is the free salary report from Payscale, followed by the quoted platform plans, so get a quote before you decide.
Do these prices change often?
Yes, employer plan prices change regularly, and the free tiers change what they include. For salary research, prices were checked in November 2026 on each vendor’s own pricing page. All of them are list prices in US dollars before tax, and the checkout total may vary by region and offer. Make sure you verify the price at checkout, and compare the renewal price with the introductory price separately.
Can I cancel a subscription anytime?
Monthly subscriptions usually end cleanly at the close of the billing period, and most tools in this guide offer one. Since annual plans normally run for the full twelve months, wait until you have used the monthly plan for at least a month before buying one. Make a calendar note a week before each renewal, because most subscriptions renew by themselves unless you cancel, and a forgotten renewal is the most common wasted payment in this category.
The Bottom Line
Glassdoor wins for most people, Levels.fyi wins for tech roles, and Payscale wins for an employer who needs a formal report. The best ai tools for salary research are not ranked here by database size, but by the job each one does best, so pick the tool that fits your decision, check the same role on three tools, and use the overlap as your number.
Start with the free tiers, narrow the search by location and level, and take the range into the conversation with the evidence behind it. The right tool fits your role, your location and your decision, and the test that matters is whether the number holds up in the room, not the demo on the vendor’s site.