Outclarity
The reportIndustriesPricing

Welcome to Outclarity

Your Customers Already Know What It’s Costing You

They say it in public, every day, on the platforms your industry is actually judged on. We read all of it, find the problems that keep recurring, and show you exactly where each one came from. Every finding is sourced. Every number is counted. Every fortnight, you see what changed.

A year of reading 24 issues · one every 14 days
Search and map listings
Review platforms
Trade directories
Booking and marketplaces
Public registers
Your own website

One row per kind of source, one column per issue. Which platforms sit in each row is chosen by trade. Lime is what changed since the issue before — the column most people read first.

Illustrative issue · 14 August

The kitchen was never the problem

Sixty-two reviews praise the food. What costs Marisol’s money is everything either side of the meal — and every finding names the page it came from.

Read the sample issue

What we find

One complaint is noise. The same one, six times, is a business problem.

Nobody inside a business is counting how often the same thing is said about it in public. That is the gap — and it is where lost enquiries, abandoned bookings and quietly worse conversion sit for months at a time.

What is in an issue

Where we read

A hotel is not judged in the same places as a dentist

So the list is built per trade before a run starts. A clinic is read on Healthgrades and Zocdoc; a haulage firm is not, and neither of them is judged mainly on Google. Open your own trade below and the sources are named — it is the same list the researcher plans from, not a page somebody typed.

All 21 trades

Answers

The questions people actually ask us

Before anybody buys this they want to know whether it is real, what it cannot do, and what happens if the evidence is thin. Those answers are written down rather than saved for a call — at length, with the parts that are not flattering left in.

Read the answers

Is this just AI-generated analysis?

No. A language model does the reading — several hundred pieces of customer text a fortnight, which no person has time for — and extracts what was said and where. Every number is then computed in our own code over what it returned, and every finding is traced back to a source you can open. A model is never asked how often something happens, because it will answer and the answer will not be a count. AI makes the research possible at this scale. Evidence is what makes it worth reading.

What that means in practice

  • The model reads and extracts. It never produces a number.
  • Frequency, corroboration and severity are computed in our own code.
  • Every finding names the page it came from and the date it was read.

See what we would find in your business

Enter your website and we will read the public record for it. The first report is researched and written the same day, so you can judge the work from the work.

Your website

Half of an issue is read from a site of your own. If your business does not have one, leave this empty — you get the half read from your listings and reviews, and here is what that leaves out.