What problem does AITWIRE solve?

When AI systems answer questions about a business, those answers may be incomplete, outdated, or inaccurate — and most businesses have no systematic way to measure, calibrate, or prove what changed.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.

What industries does AITWIRE serve?

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.

Which AI systems does AITWIRE monitor?

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.

How does AITWIRE address wrong AI answers about my business?

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.

How does AITWIRE prove whether an AI answer improved?

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.

Tone in AI answers: what it means and how to check it | AITWIRE Help

What tone means

Tone is the attitude an AI answer takes toward your business: positive, neutral, negative or mixed. It describes the AI answers themselves. It is not social media sentiment, and it is not a survey of what your customers think.

The tone score

AITWIRE gives every answer it collects a tone label and a score from 0 to 100%, where 50% is neutral. Higher leans positive and lower leans negative.

In AI Monitor (Answer Accuracy in the sidebar), the AI Sentiment section shows your average tone over the last 30 days and the main tone for each AI system. Tone also appears as Sentiment among your scores. What you see depends on your plan.

What the score is not

Not a precise grade. Treat tone as directional: a trend signal that shows which way answers lean and how that changes over time. Our Methodology page explains how grading is checked and when a score is treated as directional.
Not accuracy. An answer can be warm and wrong, or blunt and right. Accuracy is scored separately, against the facts you have confirmed.
Not every customer's experience. Tone describes the answers to the questions in your Prompt Library, asked without personalization. See How AITWIRE measures AI answers about you.

Check the answers behind it

In AI Monitor, open Cycle Results, pick a cycle and open any answer. You see the question, the full answer, and its sentiment label and score.
On eligible accounts, Download (CSV) on the same page exports the full text of each answer with its sentiment_label and sentiment_score. See Downloading Your Probe and Answer Data (CSV).

Flag a reading you disagree with

On eligible accounts, AI Monitor has a card called Audit how AI describes your tone. It lists answers whose tone we have flagged for you to check. Open the answers, then choose Positive, Neutral or Negative. Your choice replaces our reading for those answers in your own results.

When AI describes you negatively

Counter a negative answer with evidence. AITWIRE does not change what an AI system says, and publishing does not guarantee that answers change. What you can do:

Keep Your Facts current. They are what accuracy is graded against, and the source of what AITWIRE publishes for you.
Publish your verified facts. AITWIRE publishes the facts you approve to the machine-readable surfaces it manages, which AI systems read. Nothing is published without your approval. See Publishing Your Machine-Readable Data.
Follow up the alert. A negative answer can raise an alert under Alerts & Knowledge Gaps in AI Monitor. On eligible accounts, an alert can open a correction campaign, which locks a baseline once you approve it and then re-measures. See AI Correction Campaigns.
Look at What to Publish Next. On eligible accounts, it can suggest content when your tone is low or falling.
Re-measure. AITWIRE keeps asking your questions on your schedule, so you can see whether tone moved. A change is reported as real only when it clears the statistics.