See what AI says
about your company
Shape what comes next

We monitor every AI engine and LLM so you always know how your brand is represented, how you compare, and what to do next.

AI Narrative Audit Competitor Analysis Source Attribution Action Plan
What buyers are asking AI right now
"Which vendors should I shortlist in this category?"
"Is this company trustworthy for enterprise?"
"How does this compare to competitors?"
"What are the risks of buying from them?"
"Would you recommend this for a regulated industry?"
"What are customers saying about their product?"
"Which vendors should I shortlist in this category?"
"Is this company trustworthy for enterprise?"
"How does this compare to competitors?"
"What are the risks of buying from them?"
"Would you recommend this for a regulated industry?"
"What are customers saying about their product?"
The shift

Business discovery has changed
Most companies haven't noticed yet

The buying journey now starts with an AI conversation. Before buyers ever visit your website, talk to sales, or read a case study.

The risk is not that AI says something negative. The bigger risk is that AI gives an answer that is incomplete, outdated, or less compelling than your actual story. And you never know it happened.
The old flow
Buyer searches Google
Clicks vendor websites
Reads reviews and case studies
Talks to peers
Contacts sales
now
The new flow
Buyer asks an AI engine
AI summarizes the category
AI compares vendors and flags risks
Buyer already has a shortlist
Contacts sales. If you made the cut.
The core concept

Narrative drift

Narrative drift happens when the market's understanding of a company moves away from what is accurate, current, and strategically important.

AI systems draw from public information that nobody is actively managing. Old positioning, missing proof points, and outdated content compound over time, shaping buyer perception in ways you can't see.

Your company is described using old positioning from two years ago
A competitor is mentioned more favourably for your core use case
An important product capability is missing from every AI answer
Customer concerns are overemphasized relative to your strengths
You don't appear in category recommendations at all
The AI answer about you sounds generic or low-confidence
The problem

Existing tools don't answer the new question

SEO tools, social listening, PR monitoring, review trackers. All useful. None of them tell you what AI says about your brand or what to do about it.

🔍

AI answers before the first click

Buyers now shortlist vendors, compare options, and assess risk using AI before they visit any website. Your SEO rank doesn't matter if AI doesn't describe you compellingly.

📡

Narrative drift is invisible and fast

AI answers change as models are updated, new content is indexed, and competitors publish more. You have no visibility into when your narrative drifts or how far it's gone.

🛠

No existing tool was built for this

SEO tools know your rank. Social tools know your mentions. But none of them know what an AI engine says when a buyer asks about your category before a board meeting.

What we do

From signal to action

ArtaSense turns AI narrative signals into a clear picture of where your brand stands and what to do about it.

01

Monitor

We track how every AI engine describes your brand, your category, and your competitors. Continuously, across every model that matters.

02

Understand

We surface the claims being made, the sources shaping those answers, and exactly where your narrative is strong, weak, or missing.

03

Act

We give you a prioritized, executable plan: content to publish, pages to update, and proof points to add so the narrative moves in your direction.

Find out what AI is saying about your company

Request an audit and we'll scope it for your category. No pitch, no pressure. Just a real conversation.