CoreCited
Feature

AI brand monitoring that tells you when something really changed

AI brand monitoring: track how ChatGPT, Gemini, Perplexity and Google's AI describe your brand each week, with sentiment, and alerts only on real change.

Updated 8 min read

AI brand monitoring is keeping watch on what AI assistants say about you. CoreCited asks ChatGPT, Claude, Gemini, Perplexity and Google’s AI Overviews and AI Mode your buyers’ questions every week, records whether you are named and how, and alerts you only when something changes by more than the normal week-to-week noise.

Key takeaways
1Weekly checks on every AI surface, with every answer stored so you can read what was said.
2Sentiment on every mention, and your average position when you are named.
3Alerts only when visibility leaves its normal range, so an alert means something.
4It monitors AI answers, not social media or the press. To monitor brand mentions there, use a social listening tool.
<1 in 100
chance an AI returns the same brand list twice
SparkToro, Jan 2026
8
weeks of history behind every alert band
CoreCited
4
weeks before an alert can fire at all
CoreCited
35%
higher organic CTR for brands cited in AI Overviews
Seer, Nov 2025

What AI brand monitoring watches

What CoreCited records each week
For every tracked question, on every AI surface.
What it tells youWhere you see it
Named or notWhether the answer mentions your brandAI visibility, per engine
PositionHow early you are named when you areBrand signals
SentimentPositive, neutral or negative, per mentionNet sentiment, 14 days
CompetitorsWho is named instead, and how oftenShare of voice
SourcesWhich pages the answer citedCitation analysis
The answer itselfThe full text, storedResponse viewer

Each piece has its own page: AI visibility tracking, competitor tracking and citation analysis.

Alerts that mean something

The hard part of monitoring AI is not collecting answers; it is knowing when a change matters. AI answers vary from one run to the next: SparkToro found less than a 1 in 100 chance of the same list of brands appearing twice[1]. An alert on every drop would fire every week and teach you to ignore it. So CoreCited builds a band from each brand’s own recent history and alerts only when a week falls outside it. Try it:

When does a change deserve an alert?
Weekly AI visibility for one brand. Pick a scenario or drag the bars.
this week
Normal drift: no alert
This week (40%) is inside the normal range of 40% to 46%. AI answers vary; this is that variation.
The band is the average of the last 8 weeks, plus or minus 1.5 standard deviations, and never narrower than 3 points either side. It needs 4 weeks before it can fire.
From a weekly check to an alert
Weekly run
Every tracked question on every AI surface, every week.
Step 1: Weekly run. Every tracked question on every AI surface, every week.
Step 2: Score. Visibility per engine, from the answers that named you.
Step 3: Compare with the band. The last 8 weeks set the normal range for each engine.
Step 4: Alert or stay quiet. Outside the band: an email, and Slack or a webhook if connected. Inside: nothing.
Where alerts arrive
By email to the teammates who have real-signal alerts switched on, and from the Growth plan to a Slack channel or any webhook. The alert names the engine and the new score; the answers behind it are stored in your dashboard, so you can read what changed.

What it is not

Myth
It tracks every mention of my brand online.
What is true
It tracks AI answers. For social media and press mentions, use a social listening tool.
Myth
A drop this week means something went wrong.
What is true
Often it is normal variation. That is why alerts wait for a change outside the band.
Myth
More alerts means better monitoring.
What is true
Alerts you learn to ignore are worse than none.

Online brand monitoring for AI and social listening complement each other: people discuss you on forums, reviews and social media, and AI assistants read much of that. The brand mentions vs backlinks post covers how closely mentions track AI visibility.

What is on which plan

CapabilityFrom
Full stored AI answersStarter
Slack and webhook alertsGrowth
Competitor source gapGrowth

Weekly tracking, sentiment and email alerts come with tracking on every paid plan. Full details are on the pricing page.

Questions people ask

What is AI brand monitoring?

Tracking what AI assistants such as ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews say about your brand when your buyers ask about your category: whether you are named, how you are described, and who is named instead.

Is this a social listening tool?

No. CoreCited monitors AI answers, not social media, news or reviews. If you need to track mentions on X, Reddit or in the press, a social listening tool does that. What AI then says about you, based partly on those sources, is what CoreCited tracks.

How do the alerts work?

Every week each tracked question is run on each AI surface. Your visibility is compared with a band built from the previous 8 weeks. An alert goes out only when this week falls outside that band. With fewer than 4 weeks of history, no alert can fire.

Where do alerts arrive?

By email to the people on your team who switched real-signal alerts on, and, from the Growth plan, to Slack or any webhook. The stored answers behind each week are in your dashboard, so you can read what changed.

Does it track sentiment?

Yes. Each mention in an AI answer is classified as positive, neutral or negative, and the dashboard shows a net sentiment score from minus 100 to plus 100 over the last 14 days, alongside your average position when named.

What is a brand monitoring tool for AI worth if answers change every time?

That variation is exactly why monitoring has to be repeated and statistical. SparkToro found less than a 1 in 100 chance of getting the same list of brands twice. Weekly tracking with a noise band separates the week-to-week wobble from a real shift.

Keep reading

Sources

[2]AIO impact on Google CTR: September 2025 update — Seer Interactive, 4 November 2025

See where you stand first

Run one real question through real engines and read the answer they give. No account, no card, and the result is yours to share.