$181,600top of the range in California · middle $78,760 / yr
AI is transforming this role
SEO Specialists in the United States earn a median of $78,760 a year. Pay starts near $43,390. Pay reaches $181,600 at the top of the range in California, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Market Research Analysts and Marketing Specialists, SOC 13-1161). Last checked 9 September 2026.
Entry level
$43,390
Top of the range · California
$181,600
Education
Bachelor's degree in Marketing
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Market Research Analysts and Marketing Specialists). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for SEO SpecialistReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for SEO Specialist work right now.
RunwayNEWFree tier / $12 mo
AI video generator and editor for short cinematic clips.
How a SEO Specialist uses it: generate and edit video b-roll and effects without a full production
GammaNEWFree / $9 mo
Generates polished slide decks and one-pagers from a prompt.
How a SEO Specialist uses it: turn an outline into a designed presentation instantly
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a SEO Specialist uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
Canva AIFree / $13 mo
Design platform with AI text-to-image, writing, and one-click layouts.
How a SEO Specialist uses it: produce on-brand graphics, social posts, and decks without a designer
Adobe FireflyFree credits / paid
Adobe's commercially-safe AI image and video generation, built into Creative Cloud.
How a SEO Specialist uses it: generate and edit images and video safe for commercial use
Midjourney$10+ mo
High-end AI image generator known for striking visuals.
How a SEO Specialist uses it: create original concept art, mockups, and hero images from a prompt
DescriptFree / $16 mo
Edit video and podcasts by editing the transcript like a doc.
How a SEO Specialist uses it: cut and polish video/audio by editing text, and remove filler words automatically
ElevenLabsFree / $5+ mo
AI voice generation with hundreds of natural voices.
How a SEO Specialist uses it: produce voiceovers and narration in minutes
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a SEO Specialist uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
A site people can actually find
Visibility is a job with a calendar, not a mood. An SEO specialist works so the right person can find a site when they go looking. The site might sell shoes, explain a clinic, or publish a city's services. The specialist does not own the whole company. The specialist owns the craft of being findable in search, and of explaining that craft to people who would rather talk about the product itself.
Search boxes are blunt. Someone types a need. A list appears. Your work is to understand the need, to see whether the site deserves to be in that list, and to recommend changes when it does not. Those changes might be a clearer page, a structure other teams can maintain, or a technical repair an engineer has to make. You research. You write a case. You watch what happens after the change. The loop is the career.
Nothing in that loop is a trick for deceiving a search engine. Cloaking, hidden text, and schemes that treat links as a commodity are outside this account on purpose. A hiring manager who wants those stories is telling you about the job's ethics. Believe them, and look for a different desk. The durable version of this work still exists: useful pages, honest descriptions, and measurement you can show a skeptical director.
What the week is made of
Mondays often start in the data. Which pages drew visits from search. Which ones slipped. Which queries, the actual phrases people typed, showed up beside your pages. You compare that picture with what the business said it wanted. A clinic that hoped to be found for a service it barely explains on the site has a content problem. A shop with strong pages and a broken crawl has a technical problem. Naming the difference is half the value.
Midweek belongs to other people. Writers need a brief that sounds like a reader, not like a dump of phrases. Engineers need a ticket that says what is wrong and how you will know it is fixed. A product manager needs to hear why a pretty redesign might bury the one page that already earns attention. You translate. The specialists who only send reports get ignored. The ones who sit in the rewrite, or in the ticket, get a say in the next quarter.
Later in the week you check whether last month's change did anything. Sometimes it did. Sometimes the page improved for humans and the search picture stayed flat, which is still information. Sometimes you were wrong about the need. Say so. A career in visibility collapses when every report is a victory. Directors can smell a chart that cannot bear bad news. Bring the bad week with a next step attached, and you will be in the room when budgets are drawn.
Proof, without a licence board
No state board grants a licence to practice search visibility. Employers hire on evidence. A portfolio of pages, a before-and-after you are allowed to show, and the ability to explain a metric without hiding behind it. Certificates exist. Google and several training companies offer courses that teach tools and vocabulary. Those certificates can show you studied. They do not prove you can raise a site's visibility, and they are not a legal credential. Treat them as study, then do the work that makes a portfolio.
How people prepare is concrete. They learn how a site is built well enough to talk with an engineer. They learn to write, or to edit, because a page that cannot be read will not be found for long. They learn a measurement tool the team already uses, and they learn the search console the site's owner can open. They practice on a site they control, or on a volunteer organization that has given real permission, and they keep notes about what they changed and what followed. Permission matters. Experimenting on an employer's site in secret is a good way to lose the job and the reference.
A degree in marketing, communications, journalism, or a technical field helps you get the first screen. It is common, not universal. Career-changers from newsrooms, libraries, retail, and customer support often understand how real people phrase a need, which is the heart of the research. Say that in the interview with an example, not with a slogan. "People asked for this in the store, and the website called it something else" is a better story than a list of tools.
Getting hired onto a real site
In-house roles sit inside a company that has a site and a reputation to protect. Agency roles sit inside a firm that serves many clients, with faster context-switching and a lot of explaining. Both are legitimate. In-house lets you see a change through a year. An agency lets you see many industries before you specialize. Early in a career, either door works if someone senior will review your recommendations before they ship. A solo "head of SEO" title on a team of one, in your first year, is usually a way for a company to skip mentoring.
The interview should include a site. Ask for one they are willing to discuss, or bring a public example and be humble about what you cannot know from the outside. Walk through what you would look at first: the pages that matter to the business, the way those pages are described, the technical barriers a crawler would hit, the queries a customer would actually type. Offer a first change, not a fifty-point sermon. Managers remember the person who could prioritize.
Ask who owns the content, who deploys code, and how a recommendation becomes a task someone finishes. Search work dies in companies where marketing cannot get a ticket opened. Ask what happened to the last three recommendations. The answer tells you whether the role is a job or a wish. Also ask how success will be judged at six months, in language a human can audit. "More visibility for these offers" can be discussed. A promise of a specific rank on a specific day is a trap. Do not make that promise in order to be liked.
From one site to the person who sets direction
Year one, you execute. You audit a section. You brief a writer. You file a technical issue and follow it until it closes or someone formally declines it. You learn the seasonality of that business so you do not panic in a quiet month that is always quiet. Notes from that year become the judgment you will need later.
The next step is ownership of a channel or a set of sites. You plan the quarter. You decide which opportunities are worth a redesign and which need a paragraph changed. You coach a junior person so the craft does not live only in your head. Some people then move to a marketing leadership role where search is one channel among several. Some stay specialists and become the deepest expert in the building, which is a fine career if the pay and the respect keep up with the depth. Title inflation without scope is the failure mode. Scope without a title is common and worth naming in a review.
A few specialists move toward product, content strategy, or analytics. The overlap is real. Search work already forces you to hear customers in their own words and to measure whether a change mattered. If you make that move, do not abandon the habit of looking at the site as a stranger would. Leaders who forget the stranger start optimizing for internal taste. The stranger with a need is still the point.
Tools change names every few years, and the underlying job does not. You still have to hear a customer's phrasing, match it to a page that deserves the visit, and keep the site in a condition a crawler can read. A new dashboard will not do that listening for you. Use tools to see, then use judgment to choose. When a vendor promises that a platform will replace the specialist, translate the promise into a task list and ask who still has to brief the writer and reopen the ticket. Usually the answer is a person. Make sure the person is paid as a person, with a scope written down, rather than as a software subscription with a human attached.
Reading a marketing wage series with care
Dollars in this account come from Occupational Employment and Wage Statistics for May 2025, Market Research Analysts and Marketing Specialists, a wider occupation than search specialists alone. Entry is $43,390. The national median is $78,760. The high end of the published range in California is $181,600. Entry to the national median covers $35,370. The national median to that California high end covers $102,840.
The highest median is not in California. Massachusetts holds it, at $101,810, which is $23,050 above the national median. Delaware's median is $101,270. New York's median is $98,580. The District of Columbia's median is $98,090. Washington's median is $95,120. Puerto Rico sits at the low end of this comparison, $39,330. The gap between the Massachusetts median and the Puerto Rico median is $62,480. California's $181,600 is the high end of the published range, a different statistic from every median just listed, including California's absence from this median list. Do not slide the high end into a sentence about typical pay.
An offer near $43,390 matches the entry end of a broad marketing series. A figure near $78,760 matches the national middle. If you are looking at Massachusetts, Delaware, New York, the District of Columbia, or Washington, the median for that place is the typical-pay comparison. Massachusetts at $101,810 is the highest of those medians. California enters this conversation as the home of the high end, $181,600, not as a median you can quote from these figures. The $102,840 between the national median and that high end describes distance to the top of the range. The $23,050 between the nation and Massachusetts describes a smaller, more ordinary location gap in typical pay.
A raise meeting that uses the real figures
Bring a short record: pages you changed, the business result you can defend, the people you unblocked. Then use one comparison, not a fog of them. For a national role, set the offer beside $43,390 and $78,760 and talk about the $35,370 between them. If your record is still supervised execution, entry may be fair. If you already plan the quarter and coach others, the median is the honest neighborhood. Say which one you believe fits, and why, in two sentences.
For a Massachusetts offer, the median to name is $101,810. For Delaware, $101,270. For New York, $98,580. For the District of Columbia, $98,090. For Washington, $95,120. Keep California's $181,600 for a conversation about the high end of the range, the upper end of this wider marketing occupation, not for a mid-level specialist hoping a coastal address does the arguing. The $62,480 spread between Massachusetts and Puerto Rico shows how far medians run. It is a map fact. It is a weak personal argument unless you are actually choosing between those places.
You can do this work without a licence and without a bag of tricks. You need a site you are allowed to improve, the patience to measure, and the nerve to tell a pretty redesign that it buried the useful page. The wages you can quote are entry at $43,390, a national median of $78,760, a California high end of $181,600, and the medians above, with Massachusetts highest among them. Leave the high end and the medians in separate sentences. Your recommendations will be clearer if your pay talk is, too.
The top of SEO Specialist pay — and how to get there with AI
$181,600what SEO Specialist pay reaches in California
Highest state-level top-of-range annual wage for Market Research Analysts and Marketing Specialists, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
And the role it leads to — Advertising and Promotions Managers — reaches $343,540 in New York.
$43,390entry$78,760middle$181,600top end
Identical keyword and conversion work pays differently depending on whether search is a marketing expense at your employer or the channel the whole business runs on.
Analysing search engine patterns to place keywords, optimising text, graphics and multimedia assets, negotiating listings in local directories and mapping services, and improving cart and conversion rates against agreed indicators are the same tasks at a small agency and at a large retailer. The difference is what a point of conversion is worth. At an agency you are billed by the hour against a retainer; at a business with a large catalogue and thin margins, the same improvement is a line in the revenue forecast. Drafting and asset production have become fast enough that neither employer type is short of output, which means the pay difference now sits almost entirely in where the work lands.
Your playbook, by where you are now
Just startingAttach yourself to one revenue number
Choose a single measure, revenue from unpaid search or conversion rate on a category, and report on it weekly whether or not anyone asked.
Learn to read query and crawl logs at volume with Apache Hive or a warehouse such as Amazon Redshift instead of relying on summaries.
Do the unglamorous local listings and directory placement work, because it is measurable and most people skip it.
Optimise the actual assets, images through Adobe Photoshop and page templates in whatever content system you have, rather than only writing recommendations.
Use Claude to draft the first version of routine page copy, then rewrite anything that makes a claim about the product.
What proves it: A year of one revenue measure you owned, with the changes that moved it.
Realistic span: the first two years
A few years inMove to where search is the business
List the employer types near you: agency, small in-house team, large catalogue retailer, marketplace, and software company, and find out how each measures search.
Target the ones with large inventories and repeat purchase, because scale is what makes a percentage improvement worth a salary.
Take responsibility for cart and checkout conversion, not only for traffic, since that is the half executives care about.
Learn enough of the engineering side to argue for template and site speed changes with the people who implement them.
Accept that the biggest budgets cluster in a few markets, California above all, and decide whether remote work reaches them for you.
What proves it: A move in-house with a revenue target attached to your name.
Realistic span: years three through six
ExperiencedForecast, then own the budget
Propose campaigns to executives with a forecast you are prepared to be measured against.
Hold the budget across channels rather than optimising one and complaining about the others.
Track industry statistics and trade sources yourself so you spot the platform change before it costs a quarter.
Build and lead the team, which is the standard route into the promotions and advertising management roles above this one.
What proves it: A signed forecast you delivered against and a budget you controlled.
Realistic span: year seven onward
The next 90 days
Over ninety days, work out what one point of conversion is actually worth at your employer, then at three employers you could join. Take average order value, repeat purchase and catalogue size, and calculate what a one point improvement in unpaid search conversion would produce for each. You will find the same skill is worth several times more at one of them than at your current desk. That calculation, written up in a page, is both the argument for your next raise and the shortlist for your next job.
Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Start with the platform you already run — Semrush or Ahrefs — plus ChatGPT beside it. The daily pay lever is turning keyword and SERP data into content and technical fixes faster than competitors. Pull the data in your SEO suite, then use ChatGPT or Claude to cluster keywords by intent, draft briefs, and write schema. You supply the strategy and the SERP reality-check; AI supplies the speed.
For free leverage, Google Search Console and Google Analytics 4 are the ground truth for what's actually ranking and converting, and Screaming Frog (free up to 500 URLs) crawls a site for technical issues. Keep confidential client data out of consumer AI tools, and never ship AI output to a live site without checking it against the live SERP.
The one rule, forever: Stay white-hat. Never use AI to mass-produce cloaked, plagiarized, or purely automated 'scaled content abuse' — Google's spam policies penalize it and can deindex a client's whole site. Fact-check and add genuine expertise (E-E-A-T) to every AI draft, especially YMYL topics (health, finance, legal), and disclose AI use per client policy. Don't paste a client's confidential analytics, unpublished strategy, or proprietary data into a consumer AI tool, and verify every traffic and revenue number against the source platform.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Produce optimized content briefs at scale
Why this pays: Rankings drive the traffic that proves your value. Turning out data-backed, intent-matched briefs and optimizations at volume is how one specialist moves a whole content calendar — the output that justifies a rate at the top of the range or a full client roster.
Surfer SEOClearscopeChatGPT
1
Score drafts against the SERP with Surfer SEO or Clearscope for term coverage and structure, then use ChatGPT to draft the brief and outline.
2
Build a brief that beats the current top results, not just matches them.
Copy-paste this prompt
Act as an SEO content strategist. For the target keyword [primary keyword] (intent: [informational/commercial]), build a content brief: the search intent, a title and H1, an H2/H3 outline that covers the topic more completely than the current top 5 results, the entities and questions to include, internal links to add, and the meta title and description. Audience: [describe].
Cross-check the live SERP yourself — AI doesn't see today's results or your site's authority. Write for people, and add real expertise so it reads as more than a rewrite.
What you'll haveA high-quality content pipeline one person can run — the throughput behind ranking gains that command premium pay.
2
Run technical audits and fixes fast
Why this pays: Technical wins — crawlability, speed, schema, redirects — lift entire sites, not single pages. Being the specialist who can diagnose and fix them quickly is high-leverage work that clients and employers pay the top rate for.
Screaming FrogAhrefsChatGPT
1
Crawl the site in Screaming Frog and pull Site Audit data from Ahrefs or Semrush to inventory the issues.
2
Use AI to prioritize by impact and to write the exact fixes, including schema.
Copy-paste this prompt
Act as a technical SEO. Given these crawl issues [paste anonymized summary: X pages with 404s, thin content, duplicate titles, slow LCP], prioritize the fixes by likely traffic impact versus effort, and for each give the exact fix (redirect, canonical, noindex, schema, etc.). Then write valid JSON-LD [Article/Product] schema for a sample page.
Validate schema in Google's Rich Results Test and test redirects on staging first — never bulk-deploy AI-written rules to a live site unchecked.
What you'll haveSite-wide technical wins delivered fast — the high-leverage work that separates a strategist from a content editor.
3
Cluster keywords and reverse-engineer competitors
Why this pays: Strategy is what clients can't get from a freelancer with a template. Using AI to turn thousands of keywords into an intent-mapped topic architecture — informed by what competitors already rank for — is the planning that wins the retainer.
AhrefsSemrushChatGPT
1
Export keyword and competitor gap data from Ahrefs or Semrush, including the terms competitors rank for that the client doesn't.
2
Use AI to cluster the raw list into a publishable topic map by intent.
Copy-paste this prompt
I'll paste a list of [keywords with search volumes]. Group them into topic clusters by search intent (informational, commercial, transactional, navigational), name a pillar page and supporting articles for each cluster, and flag which clusters are quick wins versus long-term plays for a [type of business]. Output as a table.
Sanity-check volumes and difficulty against your SEO tool — verify intent by actually looking at what ranks, since AI guesses intent from wording alone.
What you'll haveA defensible content architecture — the strategic deliverable that wins and holds high-value retainers.
4
Win visibility inside AI answers (GEO)
Why this pays: Search is shifting to AI Overviews, ChatGPT, and Perplexity, and few specialists know how to be cited there yet. Being early to Generative Engine Optimization is the rare differentiator that lets you charge premium rates for a service competitors can't offer.
ProfoundOtterly.aiChatGPT
1
Track how often the client's brand is cited in AI answers using Profound or Otterly.ai to establish a baseline share of voice.
2
Use AI to build a citation-optimization plan for the answer engines.
Copy-paste this prompt
Act as a Generative Engine Optimization strategist. My client is [brand] in the [niche] space. Explain how to increase the odds of being cited in AI answers (Google AI Overviews, ChatGPT, Perplexity): the content structures, entity and authority signals, FAQ/comparison formats, and schema that help, plus how to measure share of voice in AI answers over time.
AI-answer visibility is early and volatile — measure it with real tools and don't abandon the classic organic rankings that still drive most traffic.
What you'll haveA GEO service competitors don't yet offer — the premium, future-proof capability behind a rate at the top of the range.
5
Automate reporting that proves revenue impact
Why this pays: Specialists who report rankings get treated as a cost; those who tie SEO to revenue get treated as an investment — and paid accordingly. AI-automated, business-focused reporting is how you make the case that keeps you at the top of the range.
Looker StudioGoogle Search ConsoleChatGPT
1
Connect Google Search Console and GA4 to Looker Studio for a live dashboard, segmenting branded versus non-branded traffic.
2
Use AI to design the report and automate the pull so it takes minutes, not a day.
Copy-paste this prompt
Act as an analytics engineer. Draft a client SEO report structure for a [B2B SaaS / local service / e-commerce] client, pulling from Google Search Console and GA4: the 6 metrics that show real business impact (not vanity), how to segment branded versus non-branded, and a short narrative template that ties ranking changes to [leads / revenue]. Then outline a Search Console API query plan to automate the monthly pull.
Verify every number against the source platform before it reaches a client — AI-summarized analytics can mislabel segments or invent a trend.
What you'll haveReporting that frames SEO as revenue, not cost — the positioning that protects premium fees and wins renewals.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $181,600 tier.
Month 1
Add ChatGPT beside your SEO suite for briefs, clustering, and schema. Ship optimized content faster and measure ranking movement.
Months 2-3
Systematize technical audits with Screaming Frog + AI-written fixes, and build an intent-mapped topic architecture for a client.
Months 3-6
Add GEO: baseline AI-answer share of voice with Profound and start optimizing for citations in AI Overviews and ChatGPT.
Months 6-12
Automate revenue-focused reporting and package your services so you own outcomes and can raise rates or grow a client roster.
Next steps for a SEO Specialist
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
SEO Specialist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Market Research Analysts and Marketing Specialists (SOC 13-1161). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.
The occupation's listed knowledge area is Sales and Marketing, which is what the course searches below actually query.
SEO Specialists in this dataset list AJAX among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for sales and marketing — a professional certificate or bachelor's-level coursework that lines up with business and finance, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for SEO Specialist work, not a claim that they list a counted SOC 13-1161 inventory.
Write a SEO Specialist resume, or one aimed at Advertising and Promotions Managers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A SEO Specialist resume that names the actual tasks on this page, or the step-up title Advertising and Promotions Managers, beats a blank template when you apply.
What SEO Specialists earn by state
These are the Bureau of Labor Statistics’ own figures for Market Research Analysts and Marketing Specialists, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
Massachusetts
$101,810
highest of them · +29% vs the national median
Puerto Rico
$39,330
lowest of the 52 states and territories that qualify · -50% vs the national median
The same job pays $62,480 more a year at the median in Massachusetts than in Puerto Rico — 159% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $181,600, is a different statistic in a different place: it is the 90th-percentile wage in California. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 13-1161. 52 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
AI is changing the job faster than almost any other marketing role, but it's not eliminating it. Someone still has to set strategy, verify that AI content is accurate and genuinely useful, fix technical architecture, and now win visibility inside AI answers. What's disappearing is low-effort, template-driven SEO. The specialists who master AI tools and the new GEO frontier are more valuable, not less.
Is AI Overviews killing SEO traffic?
It's reshaping it. Some informational queries now get answered on the results page, reducing clicks, but it also creates a new prize: being the source AI cites. The smart move is to defend the rankings that still convert while building Generative Engine Optimization skills so your clients appear in the AI answers themselves.
Can I just use AI to write all the content?
No — that's how you get a client deindexed. Google's spam policies target scaled, unedited AI content, and thin AI text ranks poorly anyway. Use AI for briefs, drafts, and structure, then add real expertise, verify every fact, and make it genuinely better than what ranks. The E-E-A-T signals AI can't fake are exactly what wins.
Is it safe to put client data into ChatGPT?
Not confidential data. Keep proprietary analytics, unpublished strategy, and private business numbers out of consumer tools. Use AI on public SERP data, anonymized crawl summaries, and general strategy, and keep sensitive client information in approved systems.
How does AI actually raise an SEO specialist's pay?
By multiplying output and moving you up the value chain. AI lets one specialist run a content calendar, audit sites, and report that used to need a team — and being early to GEO adds a premium service competitors can't match. Pay follows outcomes and scarcity, and AI improves both.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.