AITWIRE — Frequently Asked Questions

Question 1

What problem does AITWIRE solve?

Accepted Answer

When AI systems answer questions about a business, those answers may be incomplete, outdated, or inaccurate — and most businesses have no systematic way to measure, calibrate, or prove what changed. AITWIRE solves this by running structured probe cycles across major AI systems, scoring answers against a canon of verified facts the customer controls, publishing those facts to authority surfaces it manages, and re-measuring whether answers improved with statistical rigor. The result is an evidence-based record of AI answer performance rather than guesswork.

Question 2

What industries does AITWIRE serve?

Accepted Answer

AITWIRE serves customers across a broad range of industries, including SaaS and e-commerce, digital marketing and consultancy, professional services such as legal, consulting, healthcare, and finance, and enterprise brands. Its vendor-neutral measurement approach makes it applicable to any organization that wants to understand and improve how AI systems answer questions about them, from solopreneurs to large enterprises.

Question 3

Which AI systems does AITWIRE monitor?

Accepted Answer

AITWIRE probes 8 AI systems directly with controlled questions — ChatGPT (OpenAI), ChatGPT Search, Claude (Anthropic), Gemini (Google), Perplexity, Grok (xAI), Mistral, and Llama (Meta). Google AI Overviews is not measured: AITWIRE captured the overview off the live results page until that capture was retired on 25 September 2026. Results come with a per-system breakdown, so you can see exactly which systems answer accurately and which do not.

Question 4

How does AITWIRE address wrong AI answers about my business?

Accepted Answer

AITWIRE recommends corrections and publishes your confirmed facts to the machine-readable authority surfaces it manages. Measured gaps become prioritized recommendations backed by data briefs, and your confirmed facts are published as machine-readable authority surfaces it manages: entity.json, JSON-LD, llms.txt, FAQPage schema, and structured feeds. AITWIRE does not write your prose — every AI-proposed correction is suggest-and-confirm, so nothing goes live without your approval.

Question 5

How does AITWIRE prove whether an AI answer improved?

Accepted Answer

After a change, AITWIRE re-measures the same metrics on the same questions and reports the movement per AI system — before and after. Movement is reported as real only when it clears statistical checks: dimension scores carry sample sizes and 95% confidence intervals, so improvement claims are evidence you can review and retain, not vibes.

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