Guide · Free · 10 a week

Freelance, agency or AI tool: who should audit your UX?

The three ways to get a UX audit done, what each one is genuinely good at, and the specific question none of the automated ones can answer yet.

There are three ways to get a UX audit: an automated tool, an independent practitioner, or an agency. They are not three price points for the same service. Tools check rules, independents apply judgement to one surface, and agencies bring process and research to many — and the right choice depends on which of those you actually need.

The reason this gets confusing is that all three use the same two words. A $0 AI report and a $12,000 agency engagement both arrive labelled “UX audit”, and neither is misusing the term.

What does each one actually give you?

Compared on AI tool Independent Agency
Typical cost $0–199/mo $150–800 per surface $3,000–20,000+
Turnaround Minutes 1–5 days 2–8 weeks
Best at Rule coverage, consistency, volume Judgement on one high-stakes surface Breadth, research, accountability
Weakest at Knowing what the page is for Scale Cost per surface
Who examines it A model against a ruleset The person who writes the report Varies — worth asking

What can an AI UX audit tool actually find?

More than most people assume. Automated tools reliably catch contrast failures, missing labels, tap targets under the minimum, heading structures that skip levels, layout shift, slow resources, missing alt text, and a long list of known dark patterns. On coverage and consistency they beat a human comfortably.

They are also improving quickly and honestly marketed. One of the current tools advertises 1,450+ research-backed rules across e-commerce, SaaS, landing and corporate templates, runs a browser against your live site, and returns a report in about five minutes. For $0 on a free tier that is a good trade, and anyone telling you not to run one is protecting their own invoice.

Where a rule engine genuinely wins:

  • Exhaustiveness. It will not get bored on page forty and start skimming.
  • Consistency. The same rule applied the same way every time.
  • Speed and price. Minutes and often nothing.
  • Regression checking. Re-run it after every deploy, which no human does.

If you have never audited your product, running a free tool first is the correct first move. Fix everything it finds. Then read the next section.

What can’t an automated audit find?

It cannot tell you what the page is for, so it cannot tell you when the page is failing at it. Every rule engine evaluates the interface against a standard. The expensive problems are almost never standards violations — they are a correctly-built page doing the wrong job.

Some concrete examples of findings no ruleset produces:

  • “Four plans, none marked as recommended.” Every column is accessible, legible and correctly marked up. The page still hands the sorting work to a visitor who came here to be told which one is for them.
  • “The headline names a category, not a benefit.” Perfect contrast, correct heading level, passes every check. It just does not say anything.
  • “This form asks for company size before the visitor has seen the product work.” The field is labelled, keyboard-accessible and validated. It is also the reason people close the tab.
  • “The reassurance is in the footer and the doubt is at the button.” Both elements are fine. Their relationship is the problem.

The common thread is that each one requires knowing what the visitor came to do, what the business needs them to do, and where those two diverge. That is a judgement about intent, and intent is not in the markup.

This is not a permanent property of machines — it is where the tools are in 2026. What is unlikely to change soon is that someone has to decide what the page is for, and that decision is upstream of any audit.

When is an agency worth the money?

When the product is large, when real user testing is in scope, when several teams need to be brought along, or when the organisation needs a name on the document that procurement recognises. Those are real requirements and they cost real money. A single landing page is not one of them.

Most of the gap between $400 and $6,000 for a read of the same page is overhead: an account manager, a scoping call, a kickoff, a designed deck, a presentation, a follow-up, and often a junior doing the examination that a senior reviews. None of that is dishonest — it is what makes engagements manageable at scale — but it is not analysis, and you should know that is what you are buying.

Ask one question that separates agencies quickly: who does the examination? “A senior reviews it” and “a senior does it” are different services at the same price. More on what moves the price.

When is an independent the right call?

When you have one high-stakes surface, you want judgement rather than coverage, and you would rather have a document next week than a process next quarter. A pricing page, a signup flow or a checkout carries a disproportionate share of the revenue, and one person can read it properly in an afternoon.

The trade you are making is scale for directness. There is no account layer, no scoping call and no deck — and equally, no team to absorb it if that person is unavailable, and no research capacity behind them.

What to check before paying anyone independent:

  1. A finished report, redacted if necessary. Quality varies by an order of magnitude in this category and the deliverable is the only honest signal.
  2. Public reasoning. Anyone doing this seriously has argued in public somewhere. A portfolio of screenshots shows they can design; a written audit shows whether they can diagnose.
  3. A written method. A published one means the audit is repeatable and arguable. An unwritten one means you get whatever they noticed that day.

How do you choose?

Start with what you already know. If you have never checked, run a free tool — it costs nothing and clears the rule violations. If you have fixed everything a tool found and conversion is still wrong, the remaining problem is one of judgement, and that is what a human is for. If the product is large or the organisation needs process around it, that is an agency.

Written as a sequence rather than a menu:

  1. Run a free automated audit. Fix what it finds. This is genuinely useful and costs nothing.
  2. Still not converting? The problem is intent, not compliance. Get one high-stakes surface read by a person.
  3. Many surfaces, or need research and buy-in? That is the agency tier, and it is worth what it costs when those are the actual requirements.

Most teams stop needing step three entirely, and a surprising number never get past step one because a tool finds enough to keep them busy for a month. That is a good outcome and it does not require hiring anybody.


The checklist I work through is published in full if you would rather do step two yourself, and what a UX audit is covers the ground beneath all three options.

Common questions

Are AI UX audit tools any good?

For what they do, genuinely yes. Rule-based analysis is faster, cheaper and more consistent than a human at checking contrast ratios, tap target sizes, heading structure and known dark patterns. Where they stop is intent — a tool cannot tell you that a plan table fails because none of the columns says who it is for, because that requires knowing what the page is trying to make happen.

Can I just run a free AI audit instead of paying anyone?

You can, and it is a sensible first move. Run one, fix everything it finds, and see where you land. What you will be left with is the category of problem it cannot see, and if conversion is still wrong after fixing every rule violation, that is your answer about what to do next.

Is an agency worth it for a small product?

Rarely, for a single surface. Most of what separates a $6,000 agency engagement from a $400 independent one is scoping, account management, a designed deck and a presentation — real work, but not analysis. Agencies earn their price on multi-surface products, real user testing and organisational accountability.

How do I know an independent is any good before paying?

Ask for a finished report and a public example of their reasoning. Anyone doing this seriously has both. A portfolio of screenshots tells you they can design; a written audit tells you whether they can diagnose, and those are different skills.

Can I combine them?

That is usually the best answer. Run a free tool for the rule violations, fix those, then bring a human in for the part the tool flagged nothing on. You will pay less for the human because there is less noise to wade through, and the findings will be about your product rather than about WCAG.

Why trust this audit

Sergio Gualda

Sergio Gualda

Product designer · Barcelona

Uxerfy is a UX audit service run by one person: send a URL, get back a PDF within 24–48 hours with a score out of 10, three critical blockers and five quick wins. I do every audit myself and put my name on it — here's who I am and how I work.

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