AI monitoring & alerts: monitor AI search results, don't spot-check them
Asking ChatGPT about your brand once tells you what it said on one day. Sonarvue runs on a cadence and watches the answer for you - alerting you the moment a citation drops, a competitor overtakes you, or social mentions spike. It's a monitor, not a lookup.
What AI monitoring and alerts means
AI monitoring is watching how AI answer engines describe and cite your brand over time - and being told the moment it changes. When a buyer asks ChatGPT, Gemini, or Perplexity "what's the best tool for X," they get one confident answer that names two or three brands. A one-time check tells you whether you were named today. Monitoring tells you whether you stay named tomorrow, who overtakes you, and which prompt or source moved - so the first time you hear about a lost citation isn't from a deal you never knew you were in.
Why a monitor beats a manual spot-check
The instinct is reasonable: open ChatGPT, ask the question, read the answer. Do it once, for a baseline. The problem is that the answer you read is not a fixed fact. AI answers are non-deterministic - ask the same question twice and the brands it names can change. They also drift: models get updated, the public sources they lean on shift, a competitor publishes something that gets cited, and the answer that shortlisted you last month quietly stops.
A spot-check captures none of that. It's a single frame from a moving picture, with no history to compare against, no math across the eight default engines, and no way to know when the frame changes again. To catch drift you'd have to re-run every prompt across every engine, by hand, on a schedule, and remember to do it - which nobody does. That's the gap a monitor closes: it runs the prompts for you, keeps the timeline, scores share of voice, and only interrupts you when something actually moves.
What Sonarvue alerts you about
A citation drops. An engine stops naming you for a prompt it used to, or your position in the answer slips, or the sentiment around your mention turns. These are the impressions you'd otherwise lose silently - buyers shortlisting someone else inside an answer you never saw.
A competitor overtakes you. Share of voice is a race, and Sonarvue watches the standings. When a rival passes you for a prompt that matters, or a brand you don't even track starts getting named instead of you, the alert names the competitor and the prompt where it happened.
Social mentions spike. Alongside the answers, Sonarvue listens to LinkedIn, Reddit, and X for brand and category mentions. When volume jumps, a buying-intent thread surfaces, or sentiment turns negative, you hear about it early - often before that conversation becomes the source an AI cites next week.
Cadence: weekly, daily, or on demand
Monitoring is only as good as its rhythm. Sonarvue runs on a cadence you choose: weekly on Starter or Growth, and on demand whenever you want a fresh read. Trigger one before a launch to set a baseline, after you ship a content fix to check whether the answer actually changed, or any time you have a hunch the ground has shifted. The cadence builds a timeline you can trust and report on, instead of a screenshot you took once and can't reproduce.
How it works, and why it matters
No install, first read in minutes. No tag, no SDK, no change to your site. You give Sonarvue your brand and the prompts your buyers ask. It reads public AI answers and public social posts only - never your site, analytics, or customer data - and your first read completes in minutes. Every gap it finds comes with a concrete page or prompt fix, so an alert points at an action, not just a problem.
Why it matters: the answer is now the first thing your buyer sees, and the distribution is winner-take-most. A lost citation rarely shows up as a lost deal - it shows up as silence. A monitor turns that silence into a signal you can act on the day it happens, which is the difference between defending a channel and discovering, late, that you lost it.
Frequently asked
Why not just check ChatGPT myself?
You can, and you should once. But a single check tells you what one engine said on one day, to one phrasing of one prompt. AI answers are non-deterministic and they drift: ask the same question twice and the named brands can change, and the answer that shortlists you this week can drop you next week after the model or its sources move. Checking by hand also doesn't scale to eight default engines, keeps no history, does no share-of-voice math, and never tells you the moment something changes. A monitor does all of that on a cadence and pings you when it matters.
What does Sonarvue alert me about?
Three kinds of movement. A visibility change: an engine stops naming you for a prompt it used to, or your position or sentiment slips. A competitive change: a rival overtakes you in share of voice, or a new brand starts getting named instead of you. And a social change: brand or category mentions on LinkedIn, Reddit, or X spike, surface a buying-intent thread, or turn negative. Each alert points at the specific prompt, engine, or thread that moved.
How often does Sonarvue run?
On a cadence you set. Repeated runs build a comparable timeline, including manual runs before a launch or after a content change. The point is continuity: a history you can trust, not a snapshot you have to remember to take.
Do I have to install anything to monitor my brand?
No. Sonarvue needs no tag, no SDK, and no change to your site. You give it your brand and the prompts your buyers ask; it reads public AI answers and public social posts. Your first read completes in minutes, and it never touches your site, analytics, or customer data.