TrackMind Analytics for AI brand visibility

Your AI visibility, as a trend line.

Analytics lines up your tracking results as dashboards: share of voice over time, performance by engine, top keywords and competitor movement, plus AI-explained trends.

No credit card Built from Track Keywords data Multi-brand filtering

Sample dashboard for illustration

Every chart splits out by answer engine

ChatGPT Claude Gemini Perplexity
Why Analytics

One check tells you where you are.
Analytics shows where you're heading.

Each tracking run is one data point. Put enough of them in a row and you can see momentum, compare periods and find the week a competitor started pulling ahead.

Direction beats a snapshot

Pick a date range and compare it with the one before. You see right away if AI visibility went up, down or nowhere.

One brand, or all of them

Narrow the dashboards to one brand or roll up every brand in the workspace. Agencies and multi-brand teams use this a lot.

See which engine favors you

Plenty of brands do well on ChatGPT and barely show up on Gemini. The platform breakdown shows where you stand.

The dashboards

Four views of your
AI search visibility.

Every view reads from your Track Keywords results and updates when you change the brand or date range.

Share of voice over time

Daily trend lines for your brand and your competitors. You can point to the day you started gaining or losing ground.

38%Sample SoV · last 30 days
YourBrandRivalOneRivalTwo
Aug 25Sep 01Sep 08 · crossoverSep 15Sep 22
Share of voice = your mentions ÷ all mentions (yours plus competitors') across tracked keywords and platforms.
Explain trends

Get a likely reason a rival moved, then verify it.

Click Explain trends and every competitor gets a Rising, Falling or Stable badge, plus likely reasons and suggestions based on your tracking data.

  • Reasons and suggestions

    A short, plain read on what changed and what you might do about it.

  • Clear about its limits

    Each read carries a disclaimer. It is analysis to validate, and it does not prove cause.

  • Next steps linked

    Links take you to Track Keywords or Citation Gap, where you can confirm it with content and SERP checks.

Competitor trends

Sample
RivalOne▼ Falling

Likely reasonMentions dropped on comparison queries after their pricing page changed.

SuggestionPublish a clear comparison page while their share is slipping.

RivalTwoStable
RivalThree▲ Rising
AI-generated analysis. Validate with content and SERP checks before acting.
Built from your tracking data
Getting started

Three steps, starting with your data.

STEP 01Data

Track keywords first

Analytics reads your Track Keywords results. More tracking runs mean longer, more useful trend lines.

STEP 02Review

Review your dashboards

Look through share of voice trends, the platform split, top keywords and competitor comparison. Filter by brand or date range.

STEP 03Act

Explain and act

Click Explain trends for an AI read on competitor movement, then follow the links to Track Keywords or Citation Gap to check the details.

Data appears after your first tracking runOpen your dashboard →
Month-end

Writing the monthly AI visibility report.

An agency owes Acme Coffee a monthly AI visibility report. Filter the dashboards to Acme, set 30 days and compare with the previous period: share of voice is up to 38% while average visibility slipped 2 points. The platform breakdown shows Gemini at 22%, well behind. Check every Explain trends reason, like RivalOne falling, before it reaches the report.

  • Filter to one brand before you read any numbe
  • Lead with the platform split, not the headline percentag
  • Check every Explain trends reason before a client sees i
Analytics monthly report card for one client brand showing share of voice up 4.2 points, average visibility, the weakest engine and a falling competitor.
FAQ

Things people ask us.

Where the data comes from, how share of voice is measured and what Explain trends can and can't tell you.

Still have questions?

See which plans include data export and multi-brand workspaces.

Compare plans →
Do I need to track keywords before using Analytics?

Yes. Analytics is built entirely from your Track Keywords results, so there is nothing to chart until you run a scan. Once your first tracking session finishes, data shows up in the dashboards right away.

How is share of voice calculated?

Share of voice is your brand mentions divided by total mentions, meaning yours plus your competitors', across the keywords and platforms you track. It is shown as a percentage, so 38% means you got 38 of every 100 mentions.

What does 'Explain trends' use?

It uses patterns in your actual tracking data plus an AI-generated interpretation of them. The app shows a disclaimer next to every read, because it's analysis you should validate and not proof of what caused a change.

Can I export analytics data?

Yes, on the Pro and Agency plans. Data export is included there, and the Pricing page lists the current export options for each plan so you can check what fits before you upgrade.

How is this different from Google Analytics?

They measure different things. Google Analytics tracks what people do on your site after they click. Linkstonic Analytics tracks how often AI engines mention your brand in their answers, which happens before anyone visits.

See where your AI visibility is heading.

Free to start, no credit card, no commitment. Track a few keywords and the dashboards start filling in after the first run.

Share of voice over time Platform breakdown AI-explained trends