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Accuracy agent

Catches wrong or outdated facts in AI answers.

Book a discovery callHow we build it
What it does
01Prices, features and claims checked
02Negative framing flagged
03Fixes suggested at the source
Live at Northwind CRM
Checking AI answers for outdated facts
Example from this weekChatGPT quotes an old

How it works

01We agree the questions your customers ask AI
02We check the major AI assistants daily
03We find the sources they trust
04We act on the gaps and report monthly

Used in

Digital healthRecommended when patients ask AI.Read the use case →Accounting & financeThe firm AI recommends.Read the use case →SaaS companiesRecommended when buyers ask AI.Read the use case →Schools & universitiesFound when students ask AI.Read the use case →Local servicesThe local business AI suggests.Read the use case →

Your first 30 days

Week 1Blueprint signed off: scripts, rules and success measures
Week 2Built and connected to ChatGPT and Gemini
Week 3Tested with your team on real examples
Week 4Live, with daily monitoring and a day-30 results review
Works with

The tools you already use.

ChatGPT
Gemini
Perplexity
Claude
Copilot
Google Search Console
G2
Ahrefs

Finding the facts that drift

AI answers sometimes repeat details that were true two years ago: an old price, a retired feature, a closed branch. The agent checks answers against a fact sheet you approve, covering the things that matter most to a buyer. Anything that does not match is logged with the exact wording, the assistant and the date.

It also watches for framing that is technically correct but unhelpful, such as being described only as the budget option when that is no longer true. Those are flagged for a person to judge. The agent does not decide what is fair, and it never edits a source on its own.

Fixing it where the answer comes from

Correcting an assistant directly is rarely possible, so the work happens at the source. We trace the wrong fact back to the page it came from, then suggest the change: an updated listing, a clearer pricing page or fresh structured data. Your team approves each fix before anything goes out.

  • Build the fact sheet with us in week one
  • Name one owner who can confirm changes
  • Re-check after each fix is published
  • Expect some assistants to update slowly
  • Keep a log of every correction made

When an assistant is simply wrong

Sometimes the error has no obvious source, or an assistant invents a detail. The agent logs it with the exact wording and the date, and we repeat the question over several days to see whether it persists. Persistent errors are escalated to a person, who decides whether anything can be done at the source.

The agent does not check legal, medical or financial correctness. It compares answers with the facts you approve. If your fact sheet is wrong, the check will be wrong too, so a quick review by someone senior is worth the time.

FAQ

Questions,
answered.

All questions →

ChatGPT, Gemini, Perplexity, Claude and Copilot, with more added as they matter.

The rest of the team
Mention tracking agentSource mapping agentShare-of-voice agentContent agentOutreach agent
NewsletterAI automation, once a month.New use cases, prompts and guides. No spam.

Be the answer, not the footnote.

01A 30-minute call with the rainmindz team02A written agent blueprint within a week03No commitment until you approve it
Discovery call · 30 minVideo call with the rainmindz team
Pick a day · November
Pick a time · Mountain Time