AI Answer Accuracy Check
See what AI says about your business — and fix what's wrong.
The AI Answer Accuracy Check is a one-time review of what AI assistants and search answer engines actually say about your business, compared against your verifiable facts. You get a dated report of every wrong, missing, or damaging answer, a plain fix plan, and — if you want it — a machine-readable Verified Claims Record published on your own domain so agents and AI engines read the correct facts. It does not promise rankings, traffic, or placement in any AI answer.
What you get
- A branded query set run across AI assistants and answer engines
- A dated report of what AI says vs. your verifiable facts
- Every wrong, missing, or damaging answer flagged with the correction
- A plain fix plan: source-of-truth pages, structured data, and record
- Optional: a machine-readable Verified Claims Record published on your domain
How it works
Build the query set
We assemble the branded questions a buyer or agent would actually ask about you, and the verifiable facts each answer should match.
Run the check
We run the query set across AI assistants and answer engines and record, verbatim, what each returns.
Compare against the truth
Each answer is compared against your published, verifiable facts. Wrong, missing, outdated, and misattributed answers are flagged with the correct fact.
Fix the source of truth
You get a plain fix plan — and, if you want it, a machine-readable Verified Claims Record on your own domain that agents and AI engines can read directly.
Pricing
A one-time check, with optional monitoring so a wrong answer is caught and corrected, not left to spread. The exact price inside each band is fixed in writing before you approve anything — it depends only on the size of your query set. No ranking, traffic, or placement is promised.
The dated report, flagged discrepancies, and fix plan. Scoped to the size of your query set.
A recurring re-check on a set cadence, so a wrong answer gets caught and corrected, not left to spread.
Why this matters now
The reasons a business should check what AI says about it — each stated only as far as the public record supports.
Adobe Analytics reported that AI-sourced traffic to US retail sites grew roughly 393% year-over-year in early 2026, and that those AI-referred retail visitors converted about 42% better than non-AI traffic.
Adobe Analytics / Adobe Digital Insights, Q1 2026
Wrong AI answers about a business are now a real liability. In 2024, Canada's British Columbia Civil Resolution Tribunal held Air Canada responsible for wrong information its website chatbot gave a customer (Moffatt v. Air Canada).
BC Civil Resolution Tribunal, Moffatt v. Air Canada, 2024
Courts are starting to treat an AI overview as the platform's own words. In May 2026, a German court (Regional Court of Munich I) issued a preliminary injunction treating Google's AI Overview as Google's own content and ordering it to stop repeating false AI-generated statements.
Regional Court of Munich I, preliminary injunction, May 2026
Review and testimonial claims carry federal penalties. The FTC's Rule on Consumer Reviews and Testimonials has been in effect since October 2024, with civil penalties of up to $53,088 per violation.
US FTC, 16 CFR Part 465
The record agents read
The fix isn't a promise — it's a machine-readable Verified Claims Record published on your own domain, so autonomous agents and AI answer engines read your correct facts directly. It fails closed: only facts backed by a source are marked verified. The format is open and documented, and Nymrel publishes its own record live.
Proof, not a promise
Nymrel ran this check on itself first. See what AI said about the studio — and what the verified record corrects — in the first accuracy check case study.
Request an accuracy check
Tell us about your business and the answers you're worried about. A person reads every request and replies with the scope and fit.
Share enough context for Nymrel to understand the request. Required fields are marked.
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Email Nymrel about AI Answer Accuracy CheckRead our privacy notice. Do not include passwords, payment-card details, health information, or other sensitive records.
What happens after you submit
A person reads your request
Your request is stored with a reference ID the moment you submit. A person reads it — no automated triage, and no automated confirmation email. The reply below is your confirmation.
You get a scoped reply by email
You receive a personal reply from a nymrel.com address with the exact scope, a fixed price inside the published band, and the timeline. If the fit is wrong, we say so and point you somewhere honest.
You approve, then pay
Nothing is billed before the scope is fixed in writing. Fixed-price items take card payment directly (Stripe); banded work is priced in the scoped reply, and the payment link arrives with it.
The work runs, you get the dated deliverable
The check or audit runs against the agreed scope, and you receive the dated report with every finding traced to a source — yours to keep either way.
Questions
What is the AI Answer Accuracy Check?
It is a one-time review of what AI assistants and answer engines say about your business, compared against your verifiable facts. You receive a dated report of every wrong, missing, or damaging answer, plus a plain fix plan. It does not promise rankings, traffic, or a place in any AI answer.
Do you guarantee AI will say good things about my business?
No. We check accuracy and give you the tools to make the correct facts easy for AI to read — a source-of-truth record on your own domain. We never promise placement, ranking, or that an engine will repeat a specific message.
What is a Verified Claims Record?
A machine-readable, dated, source-backed file published on your own domain that lists your verified facts so autonomous agents and AI answer engines can read the correct information instead of guessing. It fails closed: only facts backed by a source are marked verified. The open format is documented at /verified/methodology.
How do I start?
Send a short request describing your business and the answers you're worried about. We reply with the query-set scope and the fit. Start at the request form on this page or at /brief.