Guide
Synthetic users vs real visitors: what each finds
Simulated visitors are fast, cheap and repeatable. Real visitors are the ground truth. The useful question is which problems each one can find. Here is how they differ.
Can simulated visitors replace real visitors when you test a page?
No, but they find a lot first. Simulated visitors open your page in real browsers and show what breaks and what confuses them within minutes: a button that does nothing, a form that rejects good input, a price they could not find. They cannot tell you how many real people will convert. In the best published study of AI judging real A/B tests, agreement with the real winner was slight:. Use simulated visitors to find what to fix, then learn from real traffic.
The honest answer to 'can simulated visitors stand in for real ones?'
It depends on what you ask them. Simulated visitors are good at finding problems that stop whoever tries: something broken, something that does nothing, a step with no way forward, a claim nobody believes. They are poor at rates, narrow expert audiences, and anything rooted in lived experience. A plan that knows the difference gets the speed of one and the truth of the other.
- Broken steps, dead ends and confusing wording: a strong fit.
- How many real people will convert: not something simulated visitors can say.
- Niche experts, feelings and accessibility with assistive technology: use real people.
- Before launch, before you pay for traffic, and after each fix: where simulated visitors earn their place.
What simulated visitors find that real visitors would hit too
Simulated visitors open your page in real browsers on laptops and phones, and they leave where a visitor would. The problems they hit do not depend on who is looking: an error on screen, a button that does nothing, a form that rejects what a person would type, a price that appears only after the account is made. A real visitor would hit the same ones.
They also say why they left. A visitor who reads a headline as something other than what you meant tells you so at that step, and the report shows the screen. Each finding comes with the step and a screenshot, so you can check it instead of taking a score on trust.
And they are repeatable. A run takes minutes (about 5 to 15 minutes for 5 visitors), so you can send the same visitors through again after each fix and see who gets further.
Where simulated visitors fall short
Rates. A run where four of five visitors sign up is not a count of how many real visitors will. They find problems fast. They do not predict conversion. For that number, ship and measure.
Picking winners. The best published study of AI judging real A/B tests found only slight agreement with the real winner. Mimiq does not claim to pick a winning version.
Niche expert audiences. A visitor acting as a hospital pharmacist or a tax specialist can only draw on what is written publicly about the role. The deeper the expertise, the more generic its reasoning.
Emotional and lived experience. How it feels to use a grief support app or navigate a service with a screen reader cannot be simulated with integrity. Those questions need the people who live them. A CAPTCHA or bot check can also stop simulated visitors. Any visitor stopped by one is marked as blocked by the site, and if it stops every visitor, the run fails and nothing is charged. A staging or preview address without bot protection works, as long as it is public or you give access.
How to combine simulated and real visitors
Start with simulated visitors. Run them on the page before you buy traffic, fix the dead ends and the claims nobody believes, and send the same visitors through the fixed page until the top problems are gone.
Use real visitors for what is expensive to get wrong. Take the improved page to customer interviews, a moderated usability session or live traffic. Real behavior is the ground truth, and by then no session is spent on a broken button.
Come back to simulated visitors between rounds. After a live test, the next change can be checked in minutes, and a GitHub Action can run them on every preview deploy.
Questions to ask any tool that uses simulated people
Does it show the evidence behind each finding, such as the step and the screenshot, so you can judge it yourself?
Does it separate what happened on screen from what it infers? An error on screen is a fact about the run. "Visitors find this confusing" is a reading of it.
Does it say plainly that its people are simulated, and does it avoid quoting a predicted conversion rate? A tool that quotes a precise rate is claiming more than current methods support.
Simulated and real visitors at a glance
| Dimension | Simulated visitors | Real visitors |
|---|---|---|
| Speed | Minutes. In Mimiq, about 5 to 15 minutes for 5 visitors. | Days to weeks for recruiting, scheduling and sessions. Live experiments need enough traffic to show a result. |
| Cost | Low per run. In Mimiq, 5 credits a visitor, from $9 for 120 credits. | Participant incentives, recruiting or panel fees, researcher time, and traffic for experiments. |
| What it is good for | Broken steps, dead ends, errors on screen, confusing wording, and a check on every build. | Ground truth on behavior, motivation, emotional context, expert workflows and exact rates. |
| Known failure modes | Generic reasoning for niche experts, no lived experience, stopped by CAPTCHAs, cannot pay with real cards, weak at picking A/B winners. | Small samples, recruiting bias, participants telling you what you want to hear, slow feedback loops. |
| Evidence type | What each visitor did and saw, step by step, with screenshots, and what the browser recorded. Simulated, so not a measure of real behavior. | Observed or stated by people. The standard for high stakes decisions. |
Simulated visitors find problems fast. They do not predict how many real people will convert.
What you get with Mimiq
- 01
Run it by hand, or on every pull request
Paste a link and a task in the app and watch the visitors work. Or run them on every preview deploy: the GitHub Action comments on the pull request, any other CI can call the MCP endpoint, and your coding agent can run it too.
- 02
Bugs and usability problems in one report
The browser records errors and failed or slow requests on the step they happened. The visitors say where the wording or the steps confused them, and where they left.
- 03
Visitors that behave like your audience
Each visitor is a different profile with a reason to be there, matched to who the page is for, described by you, or built from your own customers.
- 04
A prompt to fix each problem
Every problem comes with a fix to paste into Cursor, Claude Code, Lovable or any coding agent, and one prompt hands over the top problems at once. Then send the same visitors through again.
- 05
Follow every visitor
See each visitor's whole path, step by step with screenshots, and what it was thinking at every step. Ask any visitor a question.
The browser records relevant JavaScript errors and failed or slow app requests encountered during the run, attached to the step where they occurred. The visitors are simulated: they find problems, they do not predict how many real people will convert.
Questions
Are synthetic users accurate?
For finding problems, they are useful: an error, a dead end or a confusing step is on screen whoever hits it, and each finding comes with the step and a screenshot. They are not accurate for rates or for how people feel, so they do not tell you how many real people will convert. Use them to find what to fix, then confirm what matters with real people.
Can simulated visitors replace user interviews?
No. They can make interviews better by clearing the obvious problems first, so you arrive with sharper questions, but they cannot tell you what your actual customers experience.
Do simulated visitors only say what I want to hear?
They are given a task and a real browser, not a question about whether they like your page. If they cannot find the button, they leave and say where and why. What they did is recorded step by step, so the report does not rest on their opinion of your product.
When should I trust simulated visitors least?
When the audience is a narrow expert group, when the question is about feelings or lived experience, when the site blocks bots, and when the answer you want is a rate or a winner between two versions.
Are the visitors in the report real?
No. Every visitor in a Mimiq report is simulated. Even when you import your own customers, each visitor is built from one row of your list. It is not that customer.
How can I check whether simulated visitors work for my page?
Take a problem you already know about, such as a form that rejects valid phone numbers, run visitors on a build that still has it, and see whether they hit it. That tells you more about fit than any general claim.
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