Why can't an AI read my existing website?
It can read the page; it cannot extract reliable facts from it. Your site was built to persuade a human — headlines, imagery, copy…
The solution
What exactly is an AI-readable review site?
The short answer
A site on a domain you own that publishes every one of your reviews as structured data rather than as decoration — each one read and scored for service, problem, person and sentiment, typed in schema.org for your specific trade, and exposed through a live endpoint a model can query directly instead of scraping.
DomainRegistered in your name
EndpointOpen MCP, no key required
Your involvementConfirm the listing
01 · Why
Why it matters
Exhaustive is the point, and exhaustive is the opposite of a sales page.
Why a separate site rather than a page
Because the record has to be exhaustive to be useful, and exhaustive is the opposite of what a sales page should be. Two hundred analysed reviews, per-service breakdowns and per-technician summaries would ruin your homepage and are exactly what makes the record valuable.
Giving it its own domain also means it can be built entirely for machine reading — every URL predictable, every fact declared, nothing loaded by a script after the fact.
Two hundred analysed reviews would ruin your homepage. That is exactly what makes the record valuable.
02 · What
What it actually is
What is actually on it.
What is actually on it
Every review, with author, date, rating and full text — not a curated selection
Each review analysed: which service it refers to, which problem was solved, who was named, what the sentiment was
Per-service and per-problem pages, so a specific question reaches a specific answer
Per-technician summaries, because named people are among the strongest trust signals in the corpus
Aggregate ratings, service areas, hours and contact details as typed schema.org data
An editorial summary of the corpus, written to be quotable
A lead form and a phone number that go directly to you
The part most people have not seen
Alongside the pages, the site publishes a live MCP endpoint and an ai-plugin manifest. That means an assistant can call your record and ask it a question — search the reviews for a keyword, get the sentiment on punctuality, look up a technician — rather than hoping it scraped a useful page at some point.
You can try this on a real one. Every site we run exposes it openly, no key required.
03 · How
How it works
How it gets built, and what you have to do.
How it gets built
We pull your public reviews, read every one with a language model, and extract the structure — services, problems, people, sentiment per aspect. That becomes a dataset rather than a wall of text.
Then the site is generated from that dataset on a domain registered for you, submitted to the indexes that accept submissions, and connected to a weekly probe that asks the major models questions about your business and records the answers.
What you do: confirm the listing is yours. That is the whole of your involvement.
04 · Questions
Common follow-ups
Do I own the domain?
Yes. It is registered for you and it stays yours.
Where do the reviews come from?
Your existing public reviews. We are not soliciting new ones and nothing is written on your behalf.
What if a review is unfair?
It stays, and your report shows you the pattern. A record with no friction at all reads as curated, and a model learns to discount it.
Start where AI starts
Try it for 14 days. If it isn't what we said, we refund your first month in full and take the site down.